边缘智能 · 全部实体（第 26 / 100 页）

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• TCUQ: Single-Pass Uncertainty Quantification from Temporal Consistency with Streaming Conformal Calibration for TinyML
  We introduce TCUQ, a single pass, label free uncertainty monitor for streaming TinyML that converts short horizon temporal consistency captured via lightweight signals on posteriors and features into a calibrated risk score with an O(W ) ring buffer and O(1) p…
  datacite Lamaakal, Ismail, Yahyati, Chaymae, Makkaoui, Khalid El, Ouahbi, Ibrahim 等 2025 置信度 0.66 Machine Learning (cs.LG)Computation and Language (cs.CL)FOS: Computer and information sciencesFOS: Computer and information sciences
• Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data
  Real-time fault classification in resource-constrained Internet of Things (IoT) devices is critical for industrial safety, yet training robust models in such heterogeneous environments remains a significant challenge. Standard Federated Learning (FL) often fai…
  datacite Macharla, Hemanth, Pal, Mayukha 2025 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Protocole "Long-Life Index" — Spécification ouverte de smart-contracts incitatifs pour la durabilité et la maintenance prédictive des biens physiques
  Abstract ENThis document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable pate…
  datacite Pillet, Xavier 2025 置信度 0.66
• Protocole "Long-Life Index" — Spécification ouverte de smart-contracts incitatifs pour la durabilité et la maintenance prédictive des biens physiques
  Abstract ENThis document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable pate…
  datacite Pillet, Xavier 2025 置信度 0.66
• Protocole "Long-Life Index" — Spécification ouverte de smart-contracts incitatifs pour la durabilité et la maintenance prédictive des biens physiques
  Abstract ENThis document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable pate…
  datacite Pillet, Xavier 2025 置信度 0.66
• On-Device Crack Segmentation for Edge Structural Health Monitoring
  Crack segmentation can play a critical role in Structural Health Monitoring (SHM) by enabling accurate identification of crack size and location, which allows to monitor structural damages over time. However, deploying deep learning models for crack segmentati…
  datacite Zhang, Yuxuan, Xu, Ye, Martinez-Rau, Luciano Sebastian, Vu, Quynh Nguyen Phuong 等 2025 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Technologies à impact social pour une répartition équitable des richesses : Rapport 1990-2025
  Abstract ENThis document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) that enters the public domain of prior art upon release under the applica…
  datacite Pillet, Xavier 2025 置信度 0.66
• Technologies à impact social pour une répartition équitable des richesses : Rapport 1990-2025
  Abstract ENThis document, produced with the assistance of ChatGPT o3 and ChatGPT 5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) that enters the public domain of prior art upon release under the applica…
  datacite Pillet, Xavier 2025 置信度 0.66
• Designing Object Detection Models for TinyML: Foundations, Comparative Analysis, Challenges, and Emerging Solutions
  Object detection (OD) has become vital for numerous computer vision applications, but deploying it on resource-constrained IoT devices presents a significant challenge. These devices, often powered by energy-efficient microcontrollers, struggle to handle the c…
  datacite Zeinaty, Christophe EL, Hamidouche, Wassim, Herrou, Glenn, Menard, Daniel 2025 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciencesFOS: Computer and information sciences
• Lumename: Wearable Device for Hearing Impaired with Personalized ML-Based Auditory Detection and Haptic-Visual Alerts
  According to the World Health Organization, 430 million people experience disabling hearing loss. For them, recognizing spoken commands such as one's name is difficult. To address this issue, Lumename, a real-time smartwatch, utilizes on-device machine learnin…
  datacite Dao, Jeanelle, Dao, Jadelynn 2025 置信度 0.66 Audio and Speech Processing (eess.AS)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Electrical engineering, electronic engineering, information engineering
• Chinese Brewed Vinegar Dataset from Handheld Electronic Nose
  This dataset was collected using a custom-designed handheld electronic nose (e-nose) device equipped with eight MOS gas sensors. It includes six types of brewed vinegar, each bearing the title of "China Time-Honored Brand," specifically: Jiangsu Hengshun, Sich…
  datacite Weng, Xin, Fu, Jun 2025 置信度 0.66 Electronic NoseGas SensorOlfactionSensor Array Signal ProcessingFood Odor
• Chinese Brewed Vinegar Dataset from Handheld Electronic Nose
  This dataset was collected using a custom-designed handheld electronic nose (e-nose) device equipped with eight MOS gas sensors. It includes six types of brewed vinegar, each bearing the title of "China Time-Honored Brand," specifically: Jiangsu Hengshun, Sich…
  datacite Weng, Xin, Fu, Jun 2025 置信度 0.66 Electronic NoseGas SensorOlfactionSensor Array Signal ProcessingFood Odor
• Embedded Intelligence: A Student's Guide to Building Intelligent Devices with Microcontrollers
  This book is a practical, project-driven guide to building intelligent embedded systems using microcontrollers such as the ESP32 and STM32. It covers embedded C++, TinyML, TensorFlow Lite Micro, and energy-efficient AI deployment for real-world applications. D…
  datacite K, NAVANEETHA KRISHNAN 2025 置信度 0.66
• Embedded Intelligence: A Student's Guide to Building Intelligent Devices with Microcontrollers
  This book is a practical, project-driven guide to building intelligent embedded systems using microcontrollers such as the ESP32 and STM32. It covers embedded C++, TinyML, TensorFlow Lite Micro, and energy-efficient AI deployment for real-world applications. D…
  datacite K, NAVANEETHA KRISHNAN 2025 置信度 0.66
• Artificial Intelligence in Intrusion Detection Systems: Trends, Frameworks, and Future Directions for Cybersecurity
  In the last decade, intrusion detection systems (IDS) have grown out of signature‐based filters to complex, AI driven platforms that have the ability to identify novel and polymorphic threats in real time. This paper will look in detail at artificial intellige…
  datacite REDDY, YAKUB, Lingam, Dr. G. Shankar 2024 置信度 0.66
• Artificial Intelligence in Intrusion Detection Systems: Trends, Frameworks, and Future Directions for Cybersecurity
  In the last decade, intrusion detection systems (IDS) have grown out of signature‐based filters to complex, AI driven platforms that have the ability to identify novel and polymorphic threats in real time. This paper will look in detail at artificial intellige…
  datacite REDDY, YAKUB, Lingam, Dr. G. Shankar 2024 置信度 0.66
• Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications
  The success of Machine Learning is increasingly tempered by its significant resource footprint, driving interest in efficient paradigms like TinyML. However, the inherent complexity of designing TinyML systems hampers their broad adoption. To reduce this compl…
  datacite Shi, Yujia, Njor, Emil, Martínez-Nuevo, Pablo, Shepstone, Sven Ewan 等 2025 置信度 0.66 Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Enhancing PCBA Using AI Techniques: Tiny ML, Computer Vision, and Reinforcement Learning for Precision Assembly and Repair
  The rapid growth in electronics manufacturing has created an increasing demand for its basic unit, the PCB. To increase the production of PCB, many techniques were adopted, leading to advancements in technologies like Printed Circuit Board Assembly (PCBA). The…
  datacite Tharunekaa Madhavan, A. N. Gnana Jeevan 2025 置信度 0.66
• Enhancing PCBA Using AI Techniques: Tiny ML, Computer Vision, and Reinforcement Learning for Precision Assembly and Repair
  The rapid growth in electronics manufacturing has created an increasing demand for its basic unit, the PCB. To increase the production of PCB, many techniques were adopted, leading to advancements in technologies like Printed Circuit Board Assembly (PCBA). The…
  datacite Tharunekaa Madhavan, A. N. Gnana Jeevan 2025 置信度 0.66
• THE OVERLOOKED METRIC: RESOURCE EFFICIENCY IN IOT ATTACK DETECTION EVALUATION
  the proliferation of threats within the Internet of Things (IoT) environment is intensifying, largely due to the inherent limitations of this technology. The panoply of anti-threats based on artificial intelligence suffer from the complete embedment of models …
  datacite Patrice Lionel Kouamé, Fotso 2025 置信度 0.66 IoT; IDS; Tiny ML; Attacks; Cyber security.
• THE OVERLOOKED METRIC: RESOURCE EFFICIENCY IN IOT ATTACK DETECTION EVALUATION
  the proliferation of threats within the Internet of Things (IoT) environment is intensifying, largely due to the inherent limitations of this technology. The panoply of anti-threats based on artificial intelligence suffer from the complete embedment of models …
  datacite Patrice Lionel Kouamé, Fotso 2025 置信度 0.66 IoT; IDS; Tiny ML; Attacks; Cyber security.
• Federated TinyML and digital twin framework for secure and resilient IoMT-based ICU monitoring.
  europepmc Umar Hayat Khan, Rahim Khan, Tahani Alsaedi, Samia Allaoua Chelloug 等 2026 置信度 0.80
• Federated Deep Learning and TinyML Co-Design for Securing Resource-Constrained IoT and SCADA Networks: A PRISMA-Compliant Systematic Review, Taxonomy and Statistical Meta-Analysis
  Abstract As the Internet of Things (IoT) and industrial supervisory control and data acquisition (SCADA) systems expand, securing highly distributed, resource-constrained edge nodes against non-stationary, zero-day cyber threats has become a paramount challeng…
  europepmc Amlan Kumar Sarkar, Pawan Kumar 2026 置信度 0.80
• A Multimodal TinyML-Based Predictive Maintenance Architecture for Industrial IoT in the 6G Era.
  Predictive maintenance (PdM) is central to Industry 5.0 strategies for reducing unplanned downtime in rotating machinery. This work proposes and evaluates, as a proof of concept on a controlled single-machine testbed, a multimodal TinyML edge architecture for …
  europepmc Carlos Exequiel Garay, Fernando Alberto Miranda Bonomi, Gonzalo Nicolás Mansilla, Mariano Fagre 等 2026 置信度 0.80
• A TSNFA-TinyML Hybrid Algorithm that Achieves Full Suppression of False Positives and Signal Classification Under Drifting Noise
  europepmc 2026 置信度 0.80
• Design and Evaluation of a Compact CNN for EMG-Based Wearable Systems Under Embedded Constraints.
  europepmc 2026 置信度 0.80
• A Multimodal TinyML-Based Predictive Maintenance Architecture for Industrial IoT in the 6G Era
  Predictive maintenance (PdM) is central to Industry 5.0 strategies for reducing unplanned downtime in rotating machinery. This work proposes and evaluates a multimodal edge architecture for PdM that combines TinyML inference at the sensor with industrial IoT c…
  europepmc Carlos Exequiel Garay, Fernando Alberto Miranda Bonomi, Gonzalo Nicolás Mansilla, Mariano Fagre 等 2026 置信度 0.80
• HybridTrust: on-device federated learning with crypto-agile security for legacy and quantum-safe medical devices.
  europepmc 2026 置信度 0.80
• A 23-µJ-per-Frame All-on-Chip TinyML U-Net Processor for Real-Time Autonomous Image Segmentation in Miniaturized Ultrasound Devices.
  europepmc Zhiye Song, Ulkuhan Guler, Anantha Chandrakasan 2026 置信度 0.80
• A privacy preserving optimized intelligent security framework for smart homes using zero trust architecture and explainability.
  europepmc 2026 置信度 0.80
• Extreme Edge Computing for Secure and Private Multimodal Biometric Identification in Intelligent IoT Systems.
  europepmc 2026 置信度 0.80
• TinyML Autoencoder-Based On-Board Denoising and Drift Detection in Electrochemical Sensors
  europepmc 2026 置信度 0.80
• A Federated Approach for Adaptive Urban Sound Classification on TinyML Edge Devices.
  europepmc 2026 置信度 0.80
• Cost-Effective TinyML-Ready Design and Field Deployment of a Solar-Powered Environmental Monitoring Data Collector Using LTE-M Communication
  Environmental monitoring is essential for smart agriculture, renewable energy assessment, and climate-aware farm management. However, deploying autonomous sensing platforms in rural environments remains challenging due to energy constraints, communication reli…
  europepmc Emanuel-Crăciun Trînc, Valentin Niţă, Cristina Stolojescu, Cosmin Ancuţi 等 2026 置信度 0.80
• PhysioKey: Edge-AI-Driven Physiological Key Agreement for Secure Body Area Networks.
  europepmc 2026 置信度 0.80
• Green AI for Sustainable Transportation Infrastructure: A Sys-tematic Review of Energy-Efficient Deep Learning in Railway, Highway, and Smart Mobility Systems (2020-2026)
  AI in transportation is built largely on deep learning models. The models run on edge devices with hard energy constraints. To be green, they must therefore be energy efficient. Much of the literature labels them green . This review examines whether such claim…
  europepmc 2026 置信度 0.80
• Correction: FastKAN-DDD: A novel fast Kolmogorov-Arnold network-based approach for driver drowsiness detection optimized for TinyML deployment.
  europepmc Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui 等 2026 置信度 0.80
• A Cloud-Aware Scalable Architecture for Distributed Edge-Enabled BCI Biosensor System.
  BCI biosensors enable continuous monitoring of neural activity, but existing systems face challenges in scalability, latency, and reliable integration with cloud infrastructure. This work presents a cloud-aware, real-time cognitive grid architecture for multim…
  europepmc 2026 置信度 0.80
• TinyML pipeline for efficient crack classification in UAV-based structural health inspections.
  Abstract Structural health monitoring (SHM) of civil, aerospace, and energy infrastructure increasingly relies on UAVs with vision sensors for efficient inspections. Crack classification is a central task, yet cloud-based inference introduces bandwidth, power,…
  europepmc Yuxuan Zhang, Arne Nürnberg, Luciano Sebastian Martinez Rau, Quynh Nguyen Phuong Vu 等 2026 置信度 0.80
• Lightweight Signal Processing and Edge AI for Real-Time Anomaly Detection in IoT Sensor Networks.
  europepmc 2025 置信度 0.80
• TinyML-enabled wearable system for early detection of knee osteoarthritis using ensemble gait classification.
  europepmc Madhavan Bharanidivya, Samiappan Dhanalakshmi 2025-12-06T17:08:27Z 置信度 0.80
• Design and Evaluation of an Edge AI-Enabled Low-Power Magnetic Sensor for Real-Time Road Traffic Monitoring.
  europepmc 2026 置信度 0.80
• Smart Textiles for Circular Wearable Systems: Architecture, Energy Harvesting, AI Integration, and Manufacturing Challenges
  Smart textiles have progressed from conventional passive sensing fabrics to advanced cyber-physical systems capable of integrating sensing, actuation, computation, and wireless communication within a single textile platform. With a focus on circular economy pr…
  europepmc 2026 置信度 0.80
• A TinyMLOps Pipeline for Coarse-Grained Plant Disease Classification in Precision Agriculture.
  europepmc 2026 置信度 0.80
• Deploying TinyML for energy-efficient object detection and communication in low-power edge AI systems.
  europepmc Ch Madhu Bhushan, Priya Koppuravuri, Nomitha Prasanthi, Firoj Gazi 等 2025 置信度 0.80
• Secure edge-based IoMT framework for ICU monitoring with TinyML and post-quantum cryptography.
  europepmc Umar Hayat Khan, Affaq Qamar, Rahim Khan, Fahad Alturise 等 2025 置信度 0.80
• An Intelligent, low-cost water quality monitoring system with on-device machine learning and cloud integration.
  europepmc 2026 置信度 0.80
• Morpheus Pod : Pioneering sound based sleep analyses using TinyML
  europepmc 2025 置信度 0.80
• An optimized stacking-based TinyML model for attack detection in IoT networks.
  europepmc 2025 置信度 0.80
• A Cloud-Aware Scalable Architecture for Distributed Edge-Enabled BCI Biosensor System
  europepmc 2026 置信度 0.80
• Cyber resilience across domains: an in-depth exploration of cybersecurity practices and paradigms from the home environment to Operational Technology (OT).
  europepmc 2026 置信度 0.80
• Intelligent Classification of Urban Noise Sources Using TinyML: Towards Efficient Noise Management in Smart Cities.
  Urban noise levels that exceed the World Health Organization (WHO) recommendations have become a growing concern due to their adverse effects on public health. In Bogotá, Colombia, studies by the District Department of Environment (SDA) indicate that 11.8% of …
  europepmc Maykol Sneyder Remolina Soto, Brian Amaya Guzmán, Pedro Antonio Aya-Parra, Oscar J. Perdomo 等 2025 置信度 0.80
• MalariaNet: A Microcontroller-Deployable Malaria-Microscopy Detector for Point-of-Care Biosensing Under Leakage-Free Evaluation.
  europepmc 2026 置信度 0.80
• Low-cost embedded system for spectral power distribution reconstruction for controlled environmental agriculture using a multispectral sensor and cloud-based deep learning.
  This work presents an open-source device for acquiring, correcting, and reconstructing the spectral power distribution (SPD) of LED sources used in controlled environmental agriculture. Unlike direct measurement spectrometers, the system employs a low-cost mul…
  europepmc 2026 置信度 0.80
• A Comprehensive Survey of Federated Learning for Edge AI: Recent Trends and Future Directions
  europepmc 2025 置信度 0.80
• Efficient uncertainty aware human activity recognition on microcontrollers using hyperdimensional computing and conformal prediction.
  europepmc 2026 置信度 0.80
• TinyML Implementation of CNN-Based Gait Analysis for Low-Cost Motorized Prosthetics: A Proof-of-Concept
  Real-time gait analysis is essential for the development of responsive and reliable motorized prosthetics. Deploying advanced deep learning models on resource-constrained embedded systems, however, remains a major challenge. This proof-of-concept study present…
  europepmc João Vitor Y. B. Yamashita, João Paulo R. R. Leite, Jeremias B. Machado 2025 置信度 0.80
• SmartFS: An Adaptive Embedded Filesystem with Machine Learning-Driven Block Allocation
  europepmc 2026 置信度 0.80
• Design, Deployment, and Experimental Evaluation of an AI-Enabled IoT System for Heavy-Metal Detection in Mining-Impacted Aquaculture Environments
  europepmc 2026 置信度 0.80
• TinyML-enabled fuzzy logic for enhanced road anomaly detection in remote sensing.
  europepmc Amna Khatoon, Weixing Wang, Mengfei Wang, Limin Li 等 2025 置信度 0.80
• Advances and Challenges in TinyML-Based Water Trace Element Monitoring
  Abstract Machine learning (ML) deployments on microcontroller-class hardware, commonly referred to as TinyML, have emerged as a promising approach for trace element monitoring in environmental, agricultural, biomedical, and industrial applications. However, th…
  europepmc 2025 置信度 0.80
• Empowering voice assistants with TinyML for user-centric innovations and real-world applications.
  europepmc 2025 置信度 0.80
• Application of machine learning algorithms in building health diagnostics: predictive analytics evaluating indoor air quality and sick building syndrome in educational settings.
  europepmc 2026 置信度 0.80
• Portable Multispectral Fluorometer with Embedded Machine Learning for Chlorophyll-a Estimation in Acetone-Extracted Samples.
  europepmc 2026 置信度 0.80
• Advances in Audio Classification and Artificial Intelligence for Respiratory Health and Welfare Monitoring in Swine.
  Respiratory diseases remain one of the most significant health challenges in modern swine production, leading to substantial economic losses, compromised animal welfare, and increased antimicrobial use. In recent years, advances in artificial intelligence (AI)…
  europepmc 2026 置信度 0.80
• Deploying TinyML for Energy-Efficient Object Detection and Communication in Low-Power EdgeAI Systems
  Abstract The integration of neural networks into low-power controller units is revolutionizing EdgeAI, reducing cloud dependency, latency, and energy consumption while enhancing privacy. This paper presents a compact, energy-efficient system for real-time obje…
  europepmc Ch Madhu Bhushan, Priya Koppuravuri, Nomitha Prasanthi, Firoj Gazi 等 2025 置信度 0.80
• Presence-gated VOC sensing for urban search and rescue applications.
  europepmc 2026 置信度 0.80
• An explainable hybrid CNN-transformer model for sign language recognition on edge devices using adaptive fusion and knowledge distillation.
  europepmc 2026 置信度 0.80
• Advancing Nanoparticle Synthesis with Machine Learning: Fundamentals and Insights from an Umbrella Review
  crossref Ampere A. Tseng 2026-07-02T03:45:58Z 置信度 0.70
• Peer Review #2 of "Comparison of machine learning and deep learning techniques in promoter prediction across diverse species (v0.2)"
  crossref 2021-02-14T01:32:34Z 置信度 0.70
• Review for "Regulatory‐based classification of rums: a chemometric and machine learning analysis"
  crossref 2024-09-11T17:14:27Z 置信度 0.70
• Review for "Automated retrieval of information on threatened species from online sources using machine learning"
  crossref 2021-04-08T17:14:35Z 置信度 0.70
• Machine Learning in Manufacturing: Review, Synthesis, and Theoretical Framework
  crossref Ajit Sharma, Zhibo Zhang, Rahul Rai 2020-06-19T12:57:53Z 置信度 0.70
• Identification of ADHD-Associated Attention Patterns Using Interpretable Machine Learning Models
  Abstract Attention Deficit Hyperactivity Disorder (ADHD) is linked to problems with attention, impulsivity, and inconsistent responses. One common way to study these difficulties is through behavioral tasks such as the Conners Continuous Performance Test (CPT-…
  crossref Shefali Modi 2026-06-17T07:05:02Z 置信度 0.70
• Review for "Landscape patterns of shrubification in the Siberian Low Arctic: A machine learning perspective"
  crossref 2025-10-01T00:19:38Z 置信度 0.70
• Review for "Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory"
  crossref 2024-09-27T00:06:40Z 置信度 0.70
• Review for "Machine learning of polyurethane prepolymer viscosity: a comparison of chemical and physicochemical approaches"
  crossref 2025-11-04T21:08:47Z 置信度 0.70
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Kang Song 2024-09-08T05:23:57Z 置信度 0.70
• Review for "Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends"
  crossref 2024-10-22T17:13:03Z 置信度 0.70
• Review for: Assessing Conformer Energies using Electronic Structure and Machine Learning Methods
  This is a follow-on paper from the Hutchison group, expanding on some previous work looking at correlations of molecular energy from a variety of levels of theory with results from high-level ab initio calculations. A new addition in this paper is a small set …
  crossref Anonymous IJQC Reviewer 2020-06-11T14:03:15Z 置信度 0.70
• Review for "Rapid Recognition of Processed Milk Type Using Electrical Impedance Spectroscopy and Machine Learning"
  crossref 2023-04-03T09:07:45Z 置信度 0.70
• Review for "Machine Learning Classification of Palatal Salivary Gland Tumors Using Clinical and Demographic Descriptors"
  crossref 2025-11-18T21:03:41Z 置信度 0.70
• Review for "Development and validation of machine learning models to predict frailty risk for elderly"
  crossref 2025-11-11T20:47:13Z 置信度 0.70
• Enhancing Machine Learning Algorithms to Assess Rock Burst Phenomena
  Abstract One of the main challenges that deep mining faces is the occurrence of rockburst phenomena. Rockburst risk assessment with the use of machine learning is currently gaining increased attention, due to the fact that outperforms the widely used empirical…
  crossref Dimitrios Papadopoulos, Andreas Benardos 2021-02-13T20:34:29Z 置信度 0.70
• Review for "Machine Learning-Driven Security for Malware Detection in Wireless Android Devices"
  crossref 2026-02-04T21:05:29Z 置信度 0.70
• Salary prediction using machine learning
  This research explores how individual and demographic factors, such as professional experience, location, and education, influence salary trends and aims to uncover insights into their relative importance. Accurately predicting salaries helps understand trends…
  crossref Michael Xu 2025-06-02T14:37:51Z 置信度 0.70
• Peer Review #1 of "Drought stress detection technique for wheat crop using machine learning (v0.1)"
  crossref 2023-05-24T02:30:23Z 置信度 0.70
• Review for "Machine learning-driven implementation of workflow optimization in cloud computing for IoT applications"
  crossref 2025-07-10T02:46:52Z 置信度 0.70
• Review for "Robust ecological analysis of camera trap data labelled by a machine learning model"
  crossref 2021-02-22T05:45:18Z 置信度 0.70
• Socioeconomic Status and STEM Enrolment: A Machine-Learning Approach
  Abstract STEM (Science Technology Engineering and Mathematics) enrolment in tertiary education is strongly shaped by subject choices made during secondary education, yet relatively little is known about what drives these earlier decisions. This paper applies m…
  crossref Dáire Crotty, Ciarán Murphy 2025-05-26T01:10:32Z 置信度 0.70
• Review for "Microplastic Detection and Recognition System Enabled by Triboelectric Nanogenerator and Machine Learning Techniques"
  crossref 2026-02-10T21:10:51Z 置信度 0.70
• A Review on Machine Learning Based Approaches of Network Intrusion Detection Systems
  The rapid growth of using the Internet raises the possibility of network attacks. In order to secure internal networks, intrusion detection systems are widely employed to address a major research challenge in network security, which aims to efficiently detect …
  crossref Basmah Alsulami 2022-06-26T07:45:15Z 置信度 0.70
• Quantum Machine Learning for Phishing Detection: A Systematic Review of Current Techniques, Challenges, and Future Directions
  Phishing remains a major cybersecurity threat, yet the application of quantum machine learning (QML) to phishing detection is still at an early stage. This study presents a systematic literature review aimed at providing a concise overview of existing QML-base…
  crossref Yanche Ari Kustiawan, Khairil Imran Ghauth 2026-03-27T15:45:42Z 置信度 0.70
• Machine Learning on Microcontrollers for Biological Sensing: A Systematic Review
  Abstract Microcontroller-class devices, when integrated with machine learning (ML) models, offer transformative potential for biological sensing in resource-constrained environments. However, the deployment of such systems demands a careful balance between com…
  europepmc Hulisani Mukwevho, Unarine Mulaudzi, Bokang Motala, Sibusiso Moyo 2025 置信度 0.80
• Review of: "Generative Artificial Intelligence Using Machine Learning on Wireless Ad Hoc Networks"
  crossref Milos Seda 2024-07-29T16:56:05Z 置信度 0.70
• Review for "Multipole-enhanced machine-learning dipole moment predictions in non-equilibrium polycyclic aromatic hydrocarbons"
  crossref 2026-07-18T21:08:53Z 置信度 0.70
• Review for "Achieving a Scalable Machine Learning Workflow for Crystal Structure Discovery with Experimental Validations"
  crossref 2026-05-26T07:48:36Z 置信度 0.70
• Machine Learning for Solubility Prediction
  Abstract The solubility of a chemical in water is a critical parameter in drug development and other fields such as environmental chemistry and agrochemistry, but its in silico prediction presents a formidable challenge. Here, we apply a suite of graph-based m…
  crossref Tianyuan Zheng, John B. O. Mitchell, Simon Dobson 2023-11-06T15:56:43Z 置信度 0.70
• Online music teaching model based on machine learning and neural network
  Abstract In order to improve the efficiency of online music teaching and the recognition efficiency of teachers, students and various music symbols, this paper builds an online music teaching model based on machine learning and neural network algorithms, and p…
  crossref Lihong Yuan 2023-04-14T15:30:40Z 置信度 0.70
• Peer Review #3 of "Prioritizing bona fide bacterial small RNAs with machine learning classifiers (v0.1)"
  crossref 2019-01-29T01:30:48Z 置信度 0.70