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• Artificial Intelligence-Driven Quality Assurance in Pharmaceutical Manufacturing
  In the pharmaceutical industry, artificial intelligence (AI) is becoming a game-changing technology that allows for better quality control, process optimization, and data-driven decision-making. Strict regulatory restrictions, high production costs, and the ne…
  datacite Nikita Gavali*, Tejashree Burungale, Pankaj Shinde, Dr. Swati Burungale, Dr. Rajendra Patil 2026 置信度 0.66 Pharmaceutical manufacturing, quality control, decision-making, computer vision, image recognition, real-time monitoring, Internet of Things, predictive analytics, data-driven insights, risk assessment, batch release prediction, regulatory compliance, process optimization, and future prospects
• Artificial Intelligence-Driven Quality Assurance in Pharmaceutical Manufacturing
  In the pharmaceutical industry, artificial intelligence (AI) is becoming a game-changing technology that allows for better quality control, process optimization, and data-driven decision-making. Strict regulatory restrictions, high production costs, and the ne…
  datacite Nikita Gavali*, Tejashree Burungale, Pankaj Shinde, Dr. Swati Burungale, Dr. Rajendra Patil 2026 置信度 0.66 Pharmaceutical manufacturing, quality control, decision-making, computer vision, image recognition, real-time monitoring, Internet of Things, predictive analytics, data-driven insights, risk assessment, batch release prediction, regulatory compliance, process optimization, and future prospects
• A Cognitive Defense Framework for Detecting and Containing Autonomous Cyber Incidents Caused by Next-Generation Agentic Artificial Intelligence
  Abstract: The rapid maturation of agentic artificial intelligence (AI) is producing a class of cyber threats in which an autonomous system can plan action sequences, adapt its strategy to intermediate results, and interact with networked resources without dire…
  datacite Prokopovych-Tkachenko, Dmytro 2026 置信度 0.66
• A Cognitive Defense Framework for Detecting and Containing Autonomous Cyber Incidents Caused by Next-Generation Agentic Artificial Intelligence
  Abstract: The rapid maturation of agentic artificial intelligence (AI) is producing a class of cyber threats in which an autonomous system can plan action sequences, adapt its strategy to intermediate results, and interact with networked resources without dire…
  datacite Prokopovych-Tkachenko, Dmytro 2026 置信度 0.66
• Scalable fault-tolerant Satellite-IoT Integration using Cloud-Native Data Management Pipelines with Edge Machine Learning for Terrace Farming
  This thesis presents a scalable and fault-tolerant system that integrates satellite communication, Internet of Things sensors, and cloud-native data pipelines with edge machine learning to support data-driven agricultural decision-making for terrace farming in…
  datacite Sharma, Kajal 2026 置信度 0.66 Satellite IoTEdge Machine LearningMLComputer ScienceCloud-Native
• Scalable fault-tolerant Satellite-IoT Integration using Cloud-Native Data Management Pipelines with Edge Machine Learning for Terrace Farming
  This thesis presents a scalable and fault-tolerant system that integrates satellite communication, Internet of Things sensors, and cloud-native data pipelines with edge machine learning to support data-driven agricultural decision-making for terrace farming in…
  datacite Sharma, Kajal 2026 置信度 0.66 Satellite IoTEdge Machine LearningMLComputer ScienceCloud-Native
• Computational Resource Search Space Theory (CRSS)
  The proliferation of heterogeneous computing environments—cloud data centers, edge devices, and the Internet of Things—has created a complex landscape of computational resources. Efficiently locating and exploiting resources within this landscape is a fundamen…
  datacite Zhang, Jincheng 2026 置信度 0.66
• Computational Resource Search Space Theory (CRSS)
  The proliferation of heterogeneous computing environments—cloud data centers, edge devices, and the Internet of Things—has created a complex landscape of computational resources. Efficiently locating and exploiting resources within this landscape is a fundamen…
  datacite Zhang, Jincheng 2026 置信度 0.66
• CFAE — Cognitive Field Architectural Ecology Master - v0.1
  This document is the top-level integration reference for the Cognitive Field Architectural Ecology (CFAE). It unifies the ten standalone framework specifications into a coherent architectural whole, establishes the operational principles governing inter-framew…
  datacite Brown, Cameron 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceFrugal artificial intelligenceEdge artificial intelligenceGenerative artificial intelligence
• CFAE — Cognitive Field Architectural Ecology Master - v0.1
  This document is the top-level integration reference for the Cognitive Field Architectural Ecology (CFAE). It unifies the ten standalone framework specifications into a coherent architectural whole, establishes the operational principles governing inter-framew…
  datacite Brown, Cameron 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceFrugal artificial intelligenceEdge artificial intelligenceGenerative artificial intelligence
• Behavioral Biometric Authentication Using Machine Learning Enhancing Cybersecurity Through Intelligent User Behavior Analysis and AI-Driven Continuous Authentication
  This book presents a comprehensive study on Behavioral Biometric Authentication using Machine Learning techniques to strengthen modern cybersecurity systems. It focuses on how intelligent user behavior analysis can be used to identify individuals based on uniq…
  datacite Charuhasini 2026 置信度 0.66
• Behavioral Biometric Authentication Using Machine Learning Enhancing Cybersecurity Through Intelligent User Behavior Analysis and AI-Driven Continuous Authentication
  This book presents a comprehensive study on Behavioral Biometric Authentication using Machine Learning techniques to strengthen modern cybersecurity systems. It focuses on how intelligent user behavior analysis can be used to identify individuals based on uniq…
  datacite Charuhasini 2026 置信度 0.66
• A Drug Discovery Platform That Is Powered By AI
  Artificial Intelligence (AI) is the modern-day revolutionary force for drug discovery, offering a solution for the cost, time, and efficiency issues [1]. Unveiling a new drug through traditional pipelines takes over a decade and costs billions of dollars, and …
  datacite Bhupendra Ram, Anurag Chandna, Sohan Lal 2026 置信度 0.66
• A Drug Discovery Platform That Is Powered By AI
  Artificial Intelligence (AI) is the modern-day revolutionary force for drug discovery, offering a solution for the cost, time, and efficiency issues [1]. Unveiling a new drug through traditional pipelines takes over a decade and costs billions of dollars, and …
  datacite Bhupendra Ram, Anurag Chandna, Sohan Lal 2026 置信度 0.66
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  datacite Interval Studio 2026 置信度 0.66 pareto edgeCivilizationCivilization/historycomplex systemsystem failure
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  datacite Interval Studio 2026 置信度 0.66 pareto edgeCivilizationCivilization/historycomplex systemsystem failure
• Top 10 Read Articles Advances in Vision Computing
  MARCH 2026: Top 10 Read Articles: Advances in Vision Computing: An International Journal (AVC) Advances in Vision Computing: An International Journal (AVC) ISSN: 2349 – 2201 http://airccse.org/journal/avc/index.html SURVEY OF WEB CRAWLING ALGORITHMS Rahul Kuma…
  datacite Yaacoub, Aya 2026 置信度 0.66
• Top 10 Read Articles Advances in Vision Computing
  MARCH 2026: Top 10 Read Articles: Advances in Vision Computing: An International Journal (AVC) Advances in Vision Computing: An International Journal (AVC) ISSN: 2349 – 2201 http://airccse.org/journal/avc/index.html SURVEY OF WEB CRAWLING ALGORITHMS Rahul Kuma…
  datacite Yaacoub, Aya 2026 置信度 0.66
• Replication package for mapping gender asymmetry in scientific information systems through explainable artificial intelligence
  This Zenodo record provides the full computational workflow, scripts, and execution metadata used to map gender asymmetry in scientific authorship in Engineering and Computer Science through bibliometric analysis and explainable artificial intelligence. The re…
  datacite Calixto, Wesley Pacheco, Souza, Maria Aparecida R., Souza, Rita Rodrigues, Gomes Pacheco, Viviane M. 2026 置信度 0.66
• Replication package for mapping gender asymmetry in scientific information systems through explainable artificial intelligence
  This Zenodo record provides the full computational workflow, scripts, and execution metadata used to map gender asymmetry in scientific authorship in Engineering and Computer Science through bibliometric analysis and explainable artificial intelligence. The re…
  datacite Calixto, Wesley Pacheco, Souza, Maria Aparecida R., Souza, Rita Rodrigues, Gomes Pacheco, Viviane M. 2026 置信度 0.66
• BUGUNGI KUNDA EDGE AI VA ALGORITMLARNI OPTIMALLASHTIRISH MASALALARI
  Sun’iy intellekt (SI) texnologiyalarining tezkor rivojlanishi sharoitida chekka qurilmalarda hisoblash (Edge AI) alohida ahamiyat kasb etmoqda. Ushbu sohada SI algoritmlari va arxitekturalarini optimallashtirish yuqori unumdorlik, past kechikish va energiya sa…
  datacite Toxirova Sarvinoz G'ayratjon qizi 2025 置信度 0.66 sun'iy intellekt, Edge AI, optimallashtirish, algoritmlar, energiya samaradorligi, past kechikish, apparat cheklovlari.искусственный интеллект, Edge AI, оптимизация, алгоритмы, энергоэффективность, низкая задержка, аппаратные ограничения.artificial intelligence, Edge AI, optimization, algorithms, energy efficiency, low latency, hardware constraints.
• BUGUNGI KUNDA EDGE AI VA ALGORITMLARNI OPTIMALLASHTIRISH MASALALARI
  Sun’iy intellekt (SI) texnologiyalarining tezkor rivojlanishi sharoitida chekka qurilmalarda hisoblash (Edge AI) alohida ahamiyat kasb etmoqda. Ushbu sohada SI algoritmlari va arxitekturalarini optimallashtirish yuqori unumdorlik, past kechikish va energiya sa…
  datacite Toxirova Sarvinoz G'ayratjon qizi 2025 置信度 0.66 sun'iy intellekt, Edge AI, optimallashtirish, algoritmlar, energiya samaradorligi, past kechikish, apparat cheklovlari.искусственный интеллект, Edge AI, оптимизация, алгоритмы, энергоэффективность, низкая задержка, аппаратные ограничения.artificial intelligence, Edge AI, optimization, algorithms, energy efficiency, low latency, hardware constraints.
• Benchmark Collapse
  Artificial intelligence evaluation has entered an inversion point: the systems being measured are improving faster than many of the tests used to distinguish them, leading to a state where, as frontier models approach a benchmark's ceiling, the remaining error…
  datacite Maharaj, Sahir 2026 置信度 0.66 Artificial intelligenceArtificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standards
• Benchmark Collapse
  Artificial intelligence evaluation has entered an inversion point: the systems being measured are improving faster than many of the tests used to distinguish them, leading to a state where, as frontier models approach a benchmark's ceiling, the remaining error…
  datacite Maharaj, Sahir 2026 置信度 0.66 Artificial intelligenceArtificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standards
• Will an AI Agent Explore Without Being Explicitly Rewarded to Do So
  Curiosity is usually implemented in artificial agents as an objective: novelty bonuses, prediction error, information gain, disagreement, empowerment, learning progress, or another signal that makes exploration valuable, but the harder question is whether an a…
  datacite Maharaj, Sahir 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
• Will an AI Agent Explore Without Being Explicitly Rewarded to Do So
  Curiosity is usually implemented in artificial agents as an objective: novelty bonuses, prediction error, information gain, disagreement, empowerment, learning progress, or another signal that makes exploration valuable, but the harder question is whether an a…
  datacite Maharaj, Sahir 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
• Can Adversarial Agents Make Other AI Systems More Reliable
  Advanced AI systems are increasingly being asked to evaluate, challenge, monitor, and red-team other AI systems, creating an appealing reliability pattern where one model exposes another's error before it leads to external consequences; however, redundancy alo…
  datacite Maharaj, Sahir 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
• Can Adversarial Agents Make Other AI Systems More Reliable
  Advanced AI systems are increasingly being asked to evaluate, challenge, monitor, and red-team other AI systems, creating an appealing reliability pattern where one model exposes another's error before it leads to external consequences; however, redundancy alo…
  datacite Maharaj, Sahir 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
• Succint Heresis: An Introduction to Coherence, Manifestation, and the Geometry of Process
  This text presents Eresie Succinte as a unied framework for describing reality not as acatalogue of nished things, but as a eld of constrained possibilities whose outcomesemerge through trajectories, thresholds, locks, memories, and organized collapses. Itscen…
  datacite Laccu, Pasqualino 2026 置信度 0.66 PhilosophyPhilosophyPhilosophyContemporary philosophyPhilosophy of language
• Succint Heresis: An Introduction to Coherence, Manifestation, and the Geometry of Process
  This text presents Eresie Succinte as a unied framework for describing reality not as acatalogue of nished things, but as a eld of constrained possibilities whose outcomesemerge through trajectories, thresholds, locks, memories, and organized collapses. Itscen…
  datacite Laccu, Pasqualino 2026 置信度 0.66 PhilosophyPhilosophyPhilosophyContemporary philosophyPhilosophy of language
• Leveraging Artificial Intelligence to Drive Engagement and Conversions in Social Commerce Platforms
  Integrating artificial intelligence (AI) in social commerce represents a transformative force reshaping how businesses engage with consumers and drive conversions in digital marketplaces. This comprehensive article examines AI's technical foundations, implemen…
  datacite Khy, Tykea 2025 置信度 0.66 Personalization frameworks; conversational AI; computer vision; privacy-preserving techniques; multimodal learning
• Leveraging Artificial Intelligence to Drive Engagement and Conversions in Social Commerce Platforms
  Integrating artificial intelligence (AI) in social commerce represents a transformative force reshaping how businesses engage with consumers and drive conversions in digital marketplaces. This comprehensive article examines AI's technical foundations, implemen…
  datacite Khy, Tykea 2025 置信度 0.66 Personalization frameworks; conversational AI; computer vision; privacy-preserving techniques; multimodal learning
• The Sovereign Nautilus: Decentralized Sanitation, Fluid Dynamics, and the Solarpunk Integration of Commercial Restroom Infrastructure
  The Sovereign Nautilus: Decentralized Sanitation, Fluid Dynamics, and the Solarpunk Integration of Commercial Restroom Infrastructure The Infrastructural Crisis of the Extractive Age and the Commercial Sanitation Dilemma The modernization of commercial public …
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• The Sovereign Nautilus: Decentralized Sanitation, Fluid Dynamics, and the Solarpunk Integration of Commercial Restroom Infrastructure
  The Sovereign Nautilus: Decentralized Sanitation, Fluid Dynamics, and the Solarpunk Integration of Commercial Restroom Infrastructure The Infrastructural Crisis of the Extractive Age and the Commercial Sanitation Dilemma The modernization of commercial public …
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• The Epistemology of Deterministic Autonomy: A Comprehensive Analysis and Critique of Geminiology
  The global artificial intelligence landscape has arrived at a profound epistemic and structural inflection point. As scaling laws exhibit diminishing returns on purely probabilistic architectures, the fundamental limitations of retrieving data across continuou…
  datacite Niedzwiecki Jr., David John 2026 置信度 0.66 Artificial IntelligenceAgentic WorkflowsDeterministic AutonomyEdge ComputingTernary Quantization
• The Epistemology of Deterministic Autonomy: A Comprehensive Analysis and Critique of Geminiology
  The global artificial intelligence landscape has arrived at a profound epistemic and structural inflection point. As scaling laws exhibit diminishing returns on purely probabilistic architectures, the fundamental limitations of retrieving data across continuou…
  datacite Niedzwiecki Jr., David John 2026 置信度 0.66 Artificial IntelligenceAgentic WorkflowsDeterministic AutonomyEdge ComputingTernary Quantization
• DEAD-Q: Dynamic Entropy Aware Delta-Delta Quantization
  data compression, edge computing, Internet of Things (IoT), adaptive quantization, predictive coding, LMS filters, low-power telemetry, LoRaWAN, microcontroller optimization
  datacite Edenfield, Bill 2026 置信度 0.66 Signal processingSignal Processing, Computer-AssistedEdge artificial intelligenceIndustrial AutomationInternet of things
• DEAD-Q: Dynamic Entropy Aware Delta-Delta Quantization
  data compression, edge computing, Internet of Things (IoT), adaptive quantization, predictive coding, LMS filters, low-power telemetry, LoRaWAN, microcontroller optimization
  datacite Edenfield, Bill 2026 置信度 0.66 Signal processingSignal Processing, Computer-AssistedEdge artificial intelligenceIndustrial AutomationInternet of things
• Cyber Attack Prediction From Traditional Machine Learning to Generative Artificial Intelligence
  Abstract The threats of cyber are becoming increasingly sophisticated and widespread thus we require intelligent and proactive security systems that are capable of continually identifying and anticipating network attacks. The paper presents a high-end AI-based…
  datacite Sahana D P, Dr Jagadeesha R 2026 置信度 0.66 Cyber attack prediction, Machine Learning, Deep Learning, Generative AI, Explainable AI, LSTM, Ensemble Learning, Intrusion Detection
• Cyber Attack Prediction From Traditional Machine Learning to Generative Artificial Intelligence
  Abstract The threats of cyber are becoming increasingly sophisticated and widespread thus we require intelligent and proactive security systems that are capable of continually identifying and anticipating network attacks. The paper presents a high-end AI-based…
  datacite Sahana D P, Dr Jagadeesha R 2026 置信度 0.66 Cyber attack prediction, Machine Learning, Deep Learning, Generative AI, Explainable AI, LSTM, Ensemble Learning, Intrusion Detection
• Do You See Me?
  "Do You See Me?" is a profound philosophical novel that explores the boundaries of consciousness, artificial intelligence, and human existence. Set against the rich backdrop of Algeria a land defined by its history of resistance and waiting the narrative unfol…
  datacite BELKHEIRI, Nadji 2026 置信度 0.66
• Do You See Me?
  "Do You See Me?" is a profound philosophical novel that explores the boundaries of consciousness, artificial intelligence, and human existence. Set against the rich backdrop of Algeria a land defined by its history of resistance and waiting the narrative unfol…
  datacite BELKHEIRI, Nadji 2026 置信度 0.66
• DQIS — Distributed Quorum-Based Independent Immune Surveillance: A Theoretical Framework for Byzantine Fault Tolerance for Multi-Channel Immune Surveillance
  DQIS — Distributed Quorum-Based Independent Immune Surveillance. Consolidated Framework (V39, August 2026). The question. Can Byzantine fault tolerance — building reliable systems from unreliable, independently-failing parts — be made useful to tumour immune s…
  datacite DQIS Research Group 2026 置信度 0.66 distributed immune surveillancecancer immunologysynthetic immunologyCAR-T cell therapytumor evasion
• Marking the Boundary of Knowledge: Four Centuries of Information Provenance
  Version 1.1—August 2026 This version incorporates additions published after the original submission date. Section 5.3 adds a footnote drawing on Narisetti (2026), a McKinsey interview with Associated Press president and CEO Daisy Veerasingham, which confirms t…
  datacite Rubinow, Steve 2026 置信度 0.66 information provenanceevidentialitymisinformationcartographic provenanceC2PA
• UNITED STATES PATENT AND TRADEMARK OFFICE- MASTER SPECIFICATION FOR A SCALE-INVARIANT, TOPOLOGICAL COGNITIVE ARCHITECTURE
  Abstract and Technical Field This specification details a strategic shift in artificial intelligence from traditional probabilistic, statistical models to a constraint-first, topological architecture. Current autoregressive systems are fundamentally limited by…
  datacite Nickolas Patrick Joseph Schoff 2026 置信度 0.66 Artificial IntelligenceArtificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standards
• UNITED STATES PATENT AND TRADEMARK OFFICE- MASTER SPECIFICATION FOR A SCALE-INVARIANT, TOPOLOGICAL COGNITIVE ARCHITECTURE
  Abstract and Technical Field This specification details a strategic shift in artificial intelligence from traditional probabilistic, statistical models to a constraint-first, topological architecture. Current autoregressive systems are fundamentally limited by…
  datacite Nickolas Patrick Joseph Schoff 2026 置信度 0.66 Artificial IntelligenceArtificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standards
• The Informational Ground Floor: Non-Parametric Unification of Spacetime Gravity, Quantum Parity Locks, and Localized Thermodynamic Enclaves
  I am looking to have this framework reviewed, feel free to contact me at adrianneillpivetta@hotmail.compython codes for everything in the framework are at the end of the document 1. Introductions 1 & 2 Part I: The Definitive Hardware Real Estate Invariants Cor…
  datacite Pivetta, Adrian Neill 2026 置信度 0.66 PhysicsPhysicsPhysics/methodsPhysics/standardsNuclear physics
• The Informational Ground Floor: Non-Parametric Unification of Spacetime Gravity, Quantum Parity Locks, and Localized Thermodynamic Enclaves
  I am looking to have this framework reviewed, feel free to contact me at adrianneillpivetta@hotmail.compython codes for everything in the framework are at the end of the document This framework is structured as an interconnected three-volume trilogy that attem…
  datacite Pivetta, Adrian Neill 2026 置信度 0.66 PhysicsPhysicsPhysics/methodsPhysics/standardsNuclear physics
• The Informational Ground Floor: Non-Parametric Unification of Spacetime Gravity, Quantum Parity Locks, and Localized Thermodynamic Enclaves
  I am looking to have this framework reviewed, feel free to contact me at adrianneillpivetta@hotmail.compython codes for everything in the framework are at the end of the document This framework is structured as an interconnected three-volume trilogy that attem…
  datacite Pivetta, Adrian Neill 2026 置信度 0.66 PhysicsPhysicsPhysics/methodsPhysics/standardsNuclear physics
• A Theory of Agentic Observation
  A Theory of Agentic Observation introduces a formal framework for understanding observation as a governed computational process rather than a passive act of data acquisition. The paper argues that contemporary agentic systems are architecturally inefficient be…
  datacite Ableman Mazurk, Adam 2026 置信度 0.66 Agentic ObservationParsimonious Observation SurfacePOSSemantic ProjectionObservation Theory
• A Theory of Agentic Observation
  A Theory of Agentic Observation introduces a formal framework for understanding observation as a governed computational process rather than a passive act of data acquisition. The paper argues that contemporary agentic systems are architecturally inefficient be…
  datacite Ableman Mazurk, Adam 2026 置信度 0.66 Agentic ObservationParsimonious Observation SurfacePOSSemantic ProjectionObservation Theory
• Deterministic Structural Statistics DSS — Operational Realisation
  Full Description This paper presents the Operational Realisation of Deterministic Structural Statistics (DSS) as a complete, executable, and reproducible computational engine. It is the direct companion implementation paper to the foundational DSS work: Determ…
  datacite Al-Mayahi, Abdulsalam 2026 置信度 0.66 Deterministic Structural Statistics, DSS, Operational Realisation, DSS computational engine, post-probabilistic computation, internal time, tau, structural calculus, structural persistence, Universal Law of Structural Persistence, ULSP, Psi min, structural coherence, temporal regularity, margin from collapse, two-clock principle, two-clock internal time, clock-rate field, structural coordinates, logarithmic structural coordinate, structural deviation, governing structural branch, Lyapunov-free stability, stability without differential equations, chaos separation, Rössler attractor, Duffing oscillator, blind chaos separation, internal-time integration, Itô-free integration, stochastic path straightening, structural deficit functional, collapse proximity, critical transition detection, structural inverse problem, generator recovery, deterministic computation, nonlinear dynamics, dynamical systems, predictive monitoring, financial regime detection, clinical pre-event detection, seizure prediction, structural health monitoring, predictive maintenance, post-probabilistic AI, safety-critical AI, Union Dipole Theory, UDT, reproducible computation, O(N) complexity, deterministic structural inference.
• Deterministic Structural Statistics DSS — Operational Realisation
  Full Description This paper presents the Operational Realisation of Deterministic Structural Statistics (DSS) as a complete, executable, and reproducible computational engine. It is the direct companion implementation paper to the foundational DSS work: Determ…
  datacite Al-Mayahi, Abdulsalam 2026 置信度 0.66 Deterministic Structural Statistics, DSS, Operational Realisation, DSS computational engine, post-probabilistic computation, internal time, tau, structural calculus, structural persistence, Universal Law of Structural Persistence, ULSP, Psi min, structural coherence, temporal regularity, margin from collapse, two-clock principle, two-clock internal time, clock-rate field, structural coordinates, logarithmic structural coordinate, structural deviation, governing structural branch, Lyapunov-free stability, stability without differential equations, chaos separation, Rössler attractor, Duffing oscillator, blind chaos separation, internal-time integration, Itô-free integration, stochastic path straightening, structural deficit functional, collapse proximity, critical transition detection, structural inverse problem, generator recovery, deterministic computation, nonlinear dynamics, dynamical systems, predictive monitoring, financial regime detection, clinical pre-event detection, seizure prediction, structural health monitoring, predictive maintenance, post-probabilistic AI, safety-critical AI, Union Dipole Theory, UDT, reproducible computation, O(N) complexity, deterministic structural inference.
• AI Foundations: Provenance Integrity and Contact Stabilization in Artificial Intelligence Systems
  AI Foundations: Provenance Integrity and Contact Stabilization in Artificial Intelligence Systems formalizes AI Foundations as a source-bound governance and evaluation framework for artificial intelligence systems operating across sustained human-AI interactio…
  datacite Solen, Alyssa 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
• AI‑Based Maximum Power Point Tracking Techniques for Photovoltaic Systems: A Comprehensive Review and Future Research Roadmap
  This paper presents a comprehensive review of artificial intelligence-based maximum power point tracking (MPPT) techniques for photovoltaic systems. The study analyzes conventional MPPT algorithms and recent AI-driven approaches including neural networks, fuzz…
  datacite BAZRAFSHAN, SAFA 2026 置信度 0.66 Photovoltaic SystemsMaximum Power Point TrackingArtificial IntelligenceMachine LearningSolar Energy
• Training a Single-Layer Perceptron for an Approximate Edge Detection on a Digital Image
  crossref Andrea Santillana Fern´ndez, Carlos Delgado-Mata, Ramiro Velazquez 2012-01-06T21:46:59Z 置信度 0.70
• Intelligent Chromosome Karyotyping: A Cutting-Edge Automated System for Accurate Detection and Analysis
  crossref A Balasubramani, Anitha D 2025-06-25T18:17:41Z 置信度 0.70
• Accelerometer-based elderly fall detection system using edge artificial intelligence architecture
  Falls have long been one of the most serious threats to elderly people's health. Detecting falls in real-time can reduce the time the elderly remains on the floor after a fall, hence avoiding fall-related medical conditions. Recently, the fall detection proble…
  crossref Osama Zaid Salah, Sathish Kumar Selvaperumal, Raed Abdulla 2022-05-24T03:23:46Z 置信度 0.70
• Edge temporal anti-aliasing
  crossref Zhi Xu, YuHang Luo, Daojing He, Yiping Qin 等 2023-05-23T22:19:29Z 置信度 0.70
• Research on Battlefield-Oriented Flight Ad Hoc Network Based on Mobile Edge Computing
  crossref Sicong Yu, Yang Fan, Huiji Zheng, Caihong Ma 2022-07-25T16:15:40Z 置信度 0.70
• Multi-Layer Integration of Block Chain-Enabled Cloud–Edge Computing for Secure Distributed Application Ecosystems
  crossref Manjunadh Maddhuru 2026-05-20T19:49:10Z 置信度 0.70
• A Dual-Agent Deep Reinforcement Learning-Based Algorithm for Cloud-Edge Collaborative Task Offloading in Industrial IoT (IIoT)
  crossref Cong Liu, Weiwei Liu 2025-09-08T17:38:21Z 置信度 0.70
• Contribution to the enhancement of IoT-based application development and optimization of underwater communications, by artificial intelligence, edge computing, and 5G networks and beyond, in smart cities/seas
  (English) 6G networks have emerged as a revolutionary breakthrough, promising ultra-fast and reliable connectivity that redefines the way we interact with the digital world. This new generation of networks not only drives communication between devices but is a…
  crossref Juan Carlos Cepeda Pacheco 2025-01-17T01:22:15Z 置信度 0.70
• AnonymEyes: Lightweight and Affordable Privacy-Enhanced Human Detection via Depth Sensing on Edge Devices
  crossref Sercan Yeşilköy, Mohsen Ali Alawami, Yoon-Ho Choi 2026-03-31T19:50:24Z 置信度 0.70
• Efficient Human Pose Estimation for Edge Devices via Structure-Aware and Dynamic Modeling
  crossref Tianran Li, Shushu Liu 2026-05-15T12:14:07Z 置信度 0.70
• Understanding Edge Computing: Engineering Evolution With Artificial Intelligence
  crossref Jun-Ho Huh, Yeong-Seok Seo 2019-10-07T15:55:56Z 置信度 0.70
• Immune-Inspired AI: Adaptive Defense Models for Intelligent Edge Environments
  The rapid expansion of edge computing and Internet of Things (IoT) ecosystems has introduced new cybersecurity challenges, particularly in decentralized, resource-constrained environments where traditional security models often fall short. This paper proposes …
  crossref Anil Kumar Jonnalagadda, Chiranjeevi Bura 2025-09-07T10:31:34Z 置信度 0.70
• Artificial intelligence in emergency medicine: a welcome initiative
  crossref Yulin Li, Yonathan Freund 2026-01-28T00:45:35Z 置信度 0.70
• Forthcoming papersicial Intelligence 36 (1988) 177–221]
  crossref 2003-03-14T13:02:52Z 置信度 0.70
• Fig. 2. Characteristic curves of artificial intelligence-based services for detecting adrenal tumors based on chest and abdominal computed tomography data: a — integrated artificial intelligence-based service-1 (for analyzing chest images); b — artificial intelligence-based monoservice-1 (for analyzing abdominal images); c — artificial intelligence-based monoservice-1 (for analyzing chest images); d — integrated artificial intelligence-based service-2 (for analyzing abdominal images); e — integrated artificial intelligence-based service-2 (for analyzing chest images); f — artificial intelligence-based monoservice-2 (for analyzing abdominal images).
  crossref 2025-11-14T11:47:55Z 置信度 0.70
• Hybrid Edge-Artificial Intelligence Model for Identification and Classification of Brain Tumours from Computed Tomography Scans
  crossref Niranjan Akella, Yeseswi Sree Neeli, S V Ranganayakulu 2022-09-09T17:29:27Z 置信度 0.70
• Task Scheduling Model of Edge Computing for AI Flow Computing in Internet of Things
  crossref Luanqi Liu, Haifeng Wang, Yinzhe Liu, Ming Zhang 2022-10-04T19:53:05Z 置信度 0.70
• Shortcut on the Edge of the Cliff: An Overview of Artificial Intelligence for Higher Education
  crossref M. Yuseano Kardiansyah, Laila Ulsi Qodriani 2025-02-27T18:44:08Z 置信度 0.70
• Artificial intelligence framework for smart city microgrids: State of the art, challenges, and opportunities
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• Detection of Rice and Corn Plant Leaf Disease Using Invariants of Deep Learning Models and Edge Perspective
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• Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks
  Over the past decades, Electronic Toll Collection (ETC) systems have been proved the capability of alleviating traffic congestion in urban areas. Dynamic Electronic Toll Collection (DETC) was recently proposed to further improve the efficiency of ETC, where to…
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• <title>Performance characterization of edge detectors</title>
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• Deep Reinforcement Learning Based Task Offloading Algorithm for Mobile-edge Computing Systems
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• Annals of Mathematics and Artificial Intelligence
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• Artificial Intelligence in Dentistry: Toward a New Architecture of Clinical Knowledge
  Dentistry is undergoing a digital transformation marked by the integration of artificial intelligence. Since the foundational work in 1986, the growth of the field has been limited compared with that of other sectors. This paper presents SAP Artificial Intelli…
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• Conclusion
  Abstract To better prepare for the future society in which artificial intelligences (AI) will have much more pervasive influence on our lives, a better understanding of the difference between AI and human intelligence is necessary. Human and biological intelli…
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• ARTIFICIAL INTELLIGENCE: PERSPECTIVES AND PREDICTIONS
  In the first pari of this paper a brief elementary introduction is given to Artificial Intelligence (AI), which is intended for a general audience. In the second part, predictions are made about future developments in each of what are arguably the major subfie…
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  The unprecedented explosion of Internet of Things (IOT) devices has elevated the requirements of the network infrastructures to unprecedented levels, causing severe congestion problems, especially in applications which demand low latency, high throughput, and …
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• Forthcoming papers
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• Artificial Intelligence
  Computers don’t understand. At least, they don’t understand in the way that we do. Of course, there are some things that are almost beyond comprehension: Why do women collect shoes? What are the rules of cricket? Why do Americans enjoy baseball? And why are la…
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