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• Generative artificial intelligence for automation design of low-carbon high-ductility engineered cementitious composites
  crossref Ren-jie Wu, Hesong Jin, Boyang Liu, Bing Chen 等 2026-08-28T12:59:20Z 置信度 0.70
• SAM-E ³ : An Edge-Aware and Efficient Enhancement Framework for Ultrasound Image Segmentation
  crossref Liyang Liu, Yafeng Li, Huiting Hou, Ting Lei 等 2026-06-16T19:41:35Z 置信度 0.70
• APPLICATION OF MODERN ARTIFICIAL INTELLIGENCE ALGORITHMS IN THE HUMANITIES
  This work is devoted to the study of the application of modern artificial intelligence (AI) algorithms in the humanities for analyzing, modeling, and forecasting complex socio-cultural and historical processes.The use of neural networks, machine learning algor…
  crossref M. Turubarov 2026-06-18T08:42:57Z 置信度 0.70
• Construction of a Network Security Situation Awareness Model Based on Artificial Intelligence
  crossref Xuxia Zhang, Jian Wang, Ran Fang, Kaili Guo 等 2026-05-06T23:17:44Z 置信度 0.70
• AI with IoT Edge Vision: Practical Inspection for Industrial Manufacturing
  crossref Nasreddine Haqiq, Mounia Zaim, Mohamed Sbihi, Mustapha El Alaoui 等 2026-05-28T06:13:27Z 置信度 0.70
• When Artificial Intelligence Agrees Too Easily: The Emerging Risk of Artificial Intelligence Sycophancy in Dentistry
  crossref Mohammed Turky, Paul M.H. Dummer 2026-06-24T00:01:19Z 置信度 0.70
• Functional and Non-Functional Requirements Classification and Artificial Intelligence: A Survey
  crossref Haniyyah Aljohani, Hamza Waleed Ghandorh, Wael M.S. Yafooz 2026-04-16T19:50:24Z 置信度 0.70
• Simulation of Drug-Phytochemical Interactions Using Artificial Intelligence (AI)
  crossref Rahees Zaheer, Maryam Aftab, Muhammad Israr Khan, Shah Zareen 2026-08-12T22:14:46Z 置信度 0.70
• ReclAIm: A Multiagent Framework for Monitoring and Correcting Performance Decline in Medical Imaging AI
  A multiagent framework enabled automated monitoring and correction of performance decline in medical image classification models through natural language interaction, supporting reliable model maintenance in medical imaging artificial intelligence.
  crossref Eleftherios Tzanis, Michail E. Klontzas 2026-06-03T13:51:33Z 置信度 0.70
• ICARAI 2026 Content Announcement Page
  crossref 2026-08-10T19:12:40Z 置信度 0.70
• AI as a socratic dialogue partner: A conceptual discussion on generative artificial intelligence as a cognitive scaffold for academic enquiry
  crossref 2026-06-22T11:43:53Z 置信度 0.70
• Artificial intelligence in predicting adverse drug reactions, surgical outcomes, and radiotherapy responses
  crossref Sukanya Samanta, Ilma Bano, Akhil Gudladona, Ankit Jain 等 2026-05-01T08:51:52Z 置信度 0.70
• Art Beyond Death: Uses of Image and Voice in Generative Artificial Intelligence
  crossref Diana I. Pérez, Tomás Balmaceda, Tobías Schleider 2026-05-07T00:38:43Z 置信度 0.70
• Artificial Intelligence in Ligand-Based Drug Design
  crossref Pietro Delre, Carmen Cerchia, Emanuele Falbo, Antonio Lavecchia 2026-01-09T15:06:07Z 置信度 0.70
• Agentic artificial intelligence driven multi-modal data fusion and intelligent identification method for potential accident hazards in complex industrial systems
  crossref Shasha Li, Tiejun Cui, Xue Yang 2026-08-21T08:57:43Z 置信度 0.70
• The role of artificial intelligence in overcoming challenges in vaccine development
  crossref Iliyas Ibrahim Iliyas, Abdullahi Isa, Samuel Kile, Nuhu Umar Shanga 2026-03-14T01:25:52Z 置信度 0.70
• Metatuning: An Empirical Study of Judge-Guided Prompt Refinement and Its Boundary Conditions
  Iterative prompt refinement is a practical approach for improving the reliability of large language models without weight updates. In this work, we study metatuning : a judge-guided prompt-refinement loop in which an evaluator critiques errors and provides tar…
  crossref Aniruddha Chattopadhyay, Raj Dandekar, Kaushik Roy 2026-04-17T13:24:34Z 置信度 0.70
• Transforming India’s Path to SDGs with Artificial Intelligence: A Comprehensive Analysis
  crossref Shyam Sunder Agrawal, Amanjot Singh Syan 2026-06-30T20:09:40Z 置信度 0.70
• Artificial intelligence in the pharmaceutical industry: applications, challenges, and future directions
  crossref Hani Alhashmi, Mohammed Alhefzi, Luluh Aldhubayi 2026-08-28T12:54:38Z 置信度 0.70
• Human, Society and Artificial Intelligence
  crossref Göklem Tekdemir, Ayşen Şatıroğlu 2026-06-11T10:37:12Z 置信度 0.70
• Supply Chain Security for Artificial Intelligence Systems
  <p><b><span>Background. </span></b><span>Artificial intelligence systems are constructed from a heterogeneous supply chain spanning datasets, foundation model weights, fine-tuning artefacts, inference infrastructure, agent f…
  crossref Rizwan Tanveer 2026-06-02T09:53:12Z 置信度 0.70
• Cloud-Edge Collaborative Incremental Learning Method for Industrial Quality Inspection
  crossref 秉豪 梁 2026-03-17T10:20:20Z 置信度 0.70
• Corrigendum to “Optimum Traffic Control by Decentralized Reinforcement Learning utilizing Kinematic Wave Propagation - Applications to Traffic Signal Control” [Artificial Intelligence for Transportation Volumes 3–4, November 2025, 100036]
  crossref Masao Kuwahara, Shin Hashimoto, Jun Tanabe, Keisuke Yoshioka 2026-04-15T16:16:08Z 置信度 0.70
• ECAI 2026 TOC
  crossref 2026-07-24T19:08:49Z 置信度 0.70
• A Hybrid Edge Intelligence Framework for Real-Time Gas Prediction and Ventilation Optimization in Goaf Areas
  crossref Yanbo Lai, Huan Liu 2026-06-24T19:47:25Z 置信度 0.70
• Decision letter for "Artificial intelligence in diabetes care"
  crossref 2026-03-31T21:00:32Z 置信度 0.70
• Factors influencing university students’ intention to use and reliance on generative artificial intelligence: An extended technology acceptance model with critical use
  crossref Trang H. Nguyen, Long T. Truong, Nhu H.T. Nguyen 2026-05-25T06:06:03Z 置信度 0.70
• Portable Pruning: A Framework for Data-Free and Device-Agnostic CNN Pruning for Edge Deployment
  crossref Purnendu Prabhat, Nemi Chandra Rathore 2026-02-09T05:16:15Z 置信度 0.70
• Poster Abstract: Autonomous Cuffless Blood Pressure Monitoring Using Semi-Supervised Continual Learning with Edge Computing
  crossref Malinda Jayathilake, Jonas Freelin, Jingbo Qin, Alireza Mahjoubnia 等 2026-06-25T19:42:58Z 置信度 0.70
• Artificial Intelligence for Head and Neck Anatomy and Lesion Segmentation
  crossref Mathew Illimoottil, Andrew Kunz, Yauheniya Makarevich, Marius Staring 等 2026-08-11T22:28:08Z 置信度 0.70
• Artificial intelligence and machine learning in agriculture: Transforming economics and farm viability in the agricultural sector
  crossref Rhydum Sharma, Richa Salwan, Vivek Sharma 2026-05-29T12:13:00Z 置信度 0.70
• Construction of tactical decision knowledge graph and explainable reasoning for dynamic basketball offense and defense
  crossref Chao Chang 2026-08-21T16:03:41Z 置信度 0.70
• Artificial Intelligence in South Asian Elections: Balancing Engagement and Integrity Challenges
  This chapter explores the dual impact of artificial intelligence (AI) on elections in South Asia, focusing on India, Pakistan, and Bangladesh. It also examines AI's role across the pre-election, election day, and post-election phases, emphasizing how political…
  crossref Saber Ahmed Chowdhury, Md. Zarif Rahman 2025-12-23T15:49:11Z 置信度 0.70
• Artificial Intelligence for Sustainable Water Resource Management
  crossref Madhukar Singh, Kriti Mishra, Sujatro Ray Chowdhuri, Keisham Radhapyari 等 2026-01-01T23:52:02Z 置信度 0.70
• Chapter -15 Reinforcement Learning in Artificial Intelligence
  A key paradigm in artificial intelligence is reinforcement learning (RL), in which entities cooperate with their surroundings to learn the best course of action. Reinforcement learning agents find successful tactics by getting feedback in the form of incentive…
  crossref Vigneshwar Rangini 2026-01-22T11:22:03Z 置信度 0.70
• Autonomous Agentic Edge Operating Systems: Architectural Frameworks for Decentralised Multi-Agent Coordination and Real-Time Hardware Interfacing
  crossref Aadhityaa S B, Sharvesh P G, Alamelu M, Bhuvaneswari Subramani 2026-05-22T19:33:52Z 置信度 0.70
• Edge AI system for real-time detection of Colorado potato beetle in potato fields using low-power embedded cameras
  crossref Valeriya A. Kolesar, Liliya G. Gaffarova, Fanusya Z. Kadyrova, Svetlana N. Savdur 等 2026-06-26T19:43:40Z 置信度 0.70
• A Novel Lightweight Two-Level Edge-Enhanced Blind Image Super-Resolution Network
  crossref Yunxiang Peng, Chunling Yang 2026-01-01T23:47:31Z 置信度 0.70
• An Empirical Study on University Students' Perceptions and Current Application of Generative Artificial Intelligence Technology
  crossref Yue Zhao, Jiachao Wei 2026-04-16T19:50:24Z 置信度 0.70
• Learning with less: A survey of deep learning in medical imaging under varying supervision levels
  crossref Suruchi Kumari, Pravendra Singh 2026-02-04T07:58:51Z 置信度 0.70
• Enhancing model parameterization with linearly constrained deep generative network for ensemble-based history matching
  crossref Yanhui Zhang, Ibrahim Hoteit 2026-03-04T00:30:20Z 置信度 0.70
• Syntax-aware question generation through dependency relations-guided attention
  crossref Jinhong Li, Xuejie Zhang, Jin Wang, Xiaobing Zhou 2025-12-18T08:33:51Z 置信度 0.70
• Power Trading Framework of Cloud-Edge Computing in an Artificial Intelligence Bazaar
  crossref Sreenivas Mekala, Ananda Ravuri, K. Suresh Kumar, Giovanna Gutiérrez Gayoso 等 2025-04-04T10:08:35Z 置信度 0.70
• Organizing Committee of CISOSE 2026
  crossref 2026-08-26T19:11:13Z 置信度 0.70
• iPCB-Guard: A Confidence-Calibrated, Edge-Optimized Inline PCB Inspection Framework with Cost-Aware Robotic Segregation
  crossref Aman Reddy J, J. Aniketh Reddy, M. Chandralekha, Rahul Raj M 2026-05-22T19:33:52Z 置信度 0.70
• Smart and secure battery management: The role of artificial intelligence and edge computing in the next generation of electric vehicles
  crossref Gaurav Kumar, Suresh Mikkili 2026-03-10T17:25:40Z 置信度 0.70
• Edge Artificial Intelligence for Low-Latency Decision-Making in Intelligent Manufacturing Systems
  crossref Tianyao Wang 2026-01-14T16:51:45Z 置信度 0.70
• When Framing Shapes the Answer: Cognitive Bias and Large Language Model Reliability in Radiology
  crossref Soroosh Tayebi Arasteh, Daniel Truhn 2026-05-06T13:46:59Z 置信度 0.70
• Employee Experience 2.0: Enhancing Workplace Satisfaction with Artificial Intelligence
  crossref Richa Sharma 2026-05-14T00:11:27Z 置信度 0.70
• Q-learning-driven adaptive rewiring for cooperative control in heterogeneous networks
  crossref Yi-Ning Weng, Hsuan-Wei Lee 2026-02-09T17:50:13Z 置信度 0.70
• Ethical Considerations in Employing Artificial Intelligence in Accounting Information Systems: Hope Versus Reality
  Abstract The current study is aimed at exploring the differentiation between hope and reality of artificial intelligence (AI) ethics (Fairness and Bias, Privacy and Security, Transparency and Accountability, Responsibility and Liability, Human Interaction and …
  crossref Adel Mohammed Qatawneh 2026-07-21T05:23:11Z 置信度 0.70
• Controllable and temporally stable audio-driven talking-head generation for multi-user interactions
  crossref Mohan Yang, Haibo Yang 2026-07-01T07:26:58Z 置信度 0.70
• The Artificial Intelligence in Customer Service Revolution
  crossref Jorge Esparteiro Garcia 2026-08-17T22:09:25Z 置信度 0.70
• Neuro-LENS: A Neuro-Symbolic Framework Integrating Incomplete Background Knowledge and Deep Learning
  In this study, we propose Neuro-LENS, a neuro-symbolic evidence-based logic and symbolic reasoning framework that combines incomplete symbolic knowledge with neural learning to address ambiguity and improve the accuracy and interpretability of the results. We …
  crossref Giulia Murtas, Veselka Boeva, Elena Tsiporkova 2026-07-24T13:39:45Z 置信度 0.70
• Machine Learning and Unconstrained Optimal Process
  crossref William P. Fox, Robert E. Burks 2022-05-19T15:47:25Z 置信度 0.70
• Evaluation of Non-Invasive Wearable Diabetes Sensors
  <b>Introduction</b> Diabetes management has increasingly emphasised the need for continuous glucose monitoring (CGM) systems, promoting advancements in non-invasive wearable diabetes sensors. This comprehensive review explores the latest developmen…
  crossref Piya Muradova 2024-06-30T10:54:14Z 置信度 0.70
• Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds
  crossref Shan Suthaharan 2024-03-19T18:08:18Z 置信度 0.70
• Tree Induction for Probability-Based Ranking
  crossref Foster Provost, Pedro Domingos 2003-09-12T17:07:28Z 置信度 0.70
• "Evaluating the Effectiveness of Supervised Machine Learning Algorithms for Predicting Heart Disease"
  crossref Jayanta Chowdhury 2026-06-18T11:06:12Z 置信度 0.70
• Machine Learning
  crossref Maria Schuld, Francesco Petruccione 2021-10-17T10:39:41Z 置信度 0.70
• Machine learning to evaluate the effects of non-clinical social determinant features in predicting colorectal Cancer mortality in a medically underserved Appalachian population
  crossref Aisha Montgomery, Ravi Vadapalli, Frank A. Dinenno, Josh Schilling 等 2025-07-16T12:46:40Z 置信度 0.70
• Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results
  crossref Pavel B. Brazdil, Carlos Soares, Joaquim Pinto da Costa 2003-03-20T21:15:11Z 置信度 0.70
• Automatic Grading of Computer Programs: A Machine Learning Approach
  crossref Shashank Srikant, Varun Aggarwal 2014-04-17T18:03:52Z 置信度 0.70
• Lifespan Prediction for Lung and Bronchus Cancer Patients via Machine Learning Techniques
  crossref 2022-09-02T14:17:12Z 置信度 0.70
• Editorial: Machine learning and discovery
  crossref Pat Langley, Ryszard S. Michalski 2004-11-04T01:28:15Z 置信度 0.70
• Mechanical fault diagnosis based on machine learning
  crossref Xiangmin Meng 2025-11-19T09:02:10Z 置信度 0.70
• Riitta Katila Discusses Research Question and Design Using Machine Learning to Study Public/Private Firm Collaborations
  crossref 2023-03-24T08:33:30Z 置信度 0.70
• How Do Machine-Learning Paradigms Fare in Language Acquisition?
  crossref URI ZERNIK 2014-07-01T05:51:17Z 置信度 0.70
• Basic bounds on cluster error using distortion-rate
  crossref JR. Bhatnagar 2021-09-15T16:28:54Z 置信度 0.70
• Clustered Partial Linear Regression
  crossref Luis Torgo, Joaquim Pinto da Costa 2003-03-20T21:15:11Z 置信度 0.70
• Machine Learning (ML) and Toxicity Studies
  crossref Shyamasree Ghosh, Rathi Dasgupta 2022-05-04T17:03:22Z 置信度 0.70
• Automated Risk Scoring in Oracle Fusion ERP Using Machine Learning
  crossref 2025-10-13T11:58:13Z 置信度 0.70
• Machine Learning for Testing of VLSI Circuit
  crossref Abhishek Choubey, Shruti Bhargava Choubey 2021-11-18T14:32:53Z 置信度 0.70
• The Application of Machine Learning in Cervical Cancer Prediction
  crossref Qihui Yin 2021-09-06T13:42:54Z 置信度 0.70
• Guest Editors' Introduction
  crossref Floriana Esposito, Ryszard Michalski, Lorenza Saitta 2002-12-22T05:54:50Z 置信度 0.70
• Machine Learning-Based Cybersecurity and Threat Detection Systems for Smart Engineering Networks
  Rapid digital transformation within smart engineering networks, driven by Industrial Internet of Things (IIoT) and cyber-physical integration, has introduced unprecedented connectivity alongside an expanded and highly dynamic attack surface. Conventional secur…
  crossref Saliha Bathool, Thejo Lakshmi Gudipalli 2026-05-13T04:03:28Z 置信度 0.70
• More Supervised Machine Learning Techniques with Scikit-learn
  crossref Ekaba Bisong 2019-09-27T11:06:10Z 置信度 0.70
• Comprehensive Analysis of Dimensionality Reduction Techniques for Machine Learning Applications
  crossref Archana Vasant Mire, Vinayak Elangovan, Bharti Dhote 2021-07-07T18:42:19Z 置信度 0.70
• Adversarial Machine Learning
  crossref Aneesh Sreevallabh Chivukula, Xinghao Yang, Bo Liu, Wei Liu 等 2023-03-05T19:02:42Z 置信度 0.70
• An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection
  crossref Terran Lane, Carla E. Brodley 2003-03-21T18:56:02Z 置信度 0.70
• Pairs Trading Using Machine Learning
  crossref Peng Liu 2023-09-09T09:02:22Z 置信度 0.70
• A Lightweight Phishing Website Detection Algorithm by Machine Learning
  crossref Chenyu Gu 2022-02-15T15:54:54Z 置信度 0.70
• Multimodal depression detection using machine learning
  crossref Roshan Jahan, Manish Madhav Tripathi 2022-04-29T11:32:56Z 置信度 0.70
• Empowering Metaverse Through Machine Learning and Blockchain Technology: A Study on Machine Learning, Blockchain, and Their Combination to Enhance Metaverse
  The Metaverse is an innovative world grasping the attention of many users seeking this trend. With the trending use of Blockchain technology emerging in client-based applications, there has been a call for the empowerment of Metaverse applications through the …
  crossref Nad Ghantous, Charbel Fakhri 2022-07-13T14:53:32Z 置信度 0.70
• Machine Learning and Data Mining in Bioinformatics
  Machine learning is one of the oldest subfields of artificial intelligence and is concerned with the design and development of computational systems that can adapt themselves and learn. The most common machine learning algorithms can be either supervised or un…
  crossref George Tzanis, Christos Berberidis, Ioannis Vlahavas 2011-10-04T09:46:18Z 置信度 0.70
• Machine Learning for Biometrics
  Biometrics aims at reliable and robust identification of humans from their personal traits, mainly for security and authentication purposes, but also for identifying and tracking the users of smarter applications. Frequently considered modalities are fingerpri…
  crossref Albert Ali Salah 2010-05-21T11:36:37Z 置信度 0.70
• Machine Learning and Deep Learning Approaches for Accurate Water Quality Prediction Using Time-Series Feature Engineering
  crossref Ziyan Jin 2026-01-20T20:38:44Z 置信度 0.70
• Integrated IGBT with Tiny Learning of Radial Basis Networks for Remaining Useful Lifetime Estimation
  crossref Simone Tognocchi, Marco Marcon, Danilo Pietro Pau 2026-05-20T19:48:55Z 置信度 0.70
• Spatial Based Feature Generation for Machine Learning Based Optimization Compilation
  crossref Abid M. Malik 2011-02-03T21:55:42Z 置信度 0.70
• Bayesian Network Classifiers
  crossref Nir Friedman, Dan Geiger, Moises Goldszmidt 2002-12-22T04:48:21Z 置信度 0.70
• Conceptual Clustering, Categorization, and Polymorphy
  crossref Stephen José Hanson, Malcolm Bauer 2003-04-04T16:55:36Z 置信度 0.70
• The Future of Machine Learning in Fault Diagnosis
  crossref Govind Vashishtha 2025-07-14T18:44:53Z 置信度 0.70
• Data Analysis with Machine Learning for Psychologists
  crossref Chandril Ghosh 2022-10-17T15:06:32Z 置信度 0.70
• Machine Learning in Asphaltenes Mitigation
  crossref Ali Qasim, Bhajan Lal 2023-03-11T10:02:42Z 置信度 0.70
• Research on advanced manufacturing process monitoring and fault prediction method based on machine learning
  crossref 2024-01-11T09:13:38Z 置信度 0.70
• Machine Learning in Healthcare: Automating Diagnostic Processes
  Machine learning (ML) has emerged as a powerful tool in the healthcare industry, particularly in the automation of diagnostic processes. This paper explores the integration of ML techniques in medical diagnostics, focusing on their role in automating disease i…
  crossref Joann G. Elmore 2026-04-02T07:04:07Z 置信度 0.70
• Artificial Intelligence and Machine Learning in Climate Modeling
  Artificial Intelligence (AI) and Machine Learning (ML) have shown immense potential in revolutionizing climate modeling by enabling more accurate predictions, real-time data processing, and better decision-making. This article explores the applications of AI a…
  crossref Shrouk Wally 2026-03-31T08:06:04Z 置信度 0.70
• Machine Learning Approaches to Automatic Interpretation of EEGs
  crossref Iyad Obeid, Joseph Picone 2018-11-16T06:33:25Z 置信度 0.70
• Interpretable Machine Learning Models for Critical Decision Systems
  Machine learning (ML) systems are finding more and more applications in high-reliability decision-making setting including medical diagnosis, risk estimation in the finance sector, driverless transport, law enforcement, and fault management in industries. Thei…
  crossref Amanda Davis 2026-07-27T10:52:55Z 置信度 0.70
• Geospatial crime analysis and forecasting with machine learning techniques
  crossref Boppuru Rudra Prathap 2022-04-29T09:34:12Z 置信度 0.70