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• Information retrieval and artificial intelligence
  crossref Karen Sparck Jones 2002-07-25T14:51:33Z 置信度 0.70
• Artificial Intelligence for Digitising Industry
  crossref Ovidiu Vermesan 2021-10-16T14:24:57Z 置信度 0.70
• Using transformers for multimodal emotion recognition: Taxonomies and state of the art review
  crossref Samira Hazmoune, Fateh Bougamouza 2024-04-02T06:24:52Z 置信度 0.70
• Machine learning: An artificial intelligence approach
  crossref Mark J. Stefik 2003-03-14T13:02:52Z 置信度 0.70
• Dynamic, Context-Aware Cross-Layer Orchestration of Containerized Applications
  crossref Rute C. Sofia, Doug Dykeman, Peter Urbanetz, Akram Galal 等 2023-08-21T13:57:05Z 置信度 0.70
• Artificial intelligence based fusion imaging streamlining mitral transcatheter edge-to-edge repair
  Abstract Aims Precise imaging is critical for procedural success in mitral transcatheter edge-to-edge repair (M-TEER), yet conventional fluoroscopy and echocardiography may lead to miscommunication and suboptimal device placement. The aim was to test the clini…
  crossref Patric Biaggi, Roberto Corti, Oliver Gaemperli, Peter Wenaweser 等 2026-03-11T12:52:45Z 置信度 0.70
• Counsellor review of artificial intelligence recommendations improves feasibility adjusted career fit and reduces socioeconomic disparity
  Abstract Artificial intelligence increasingly mediates how young people enter the workforce, with recommender systems guiding students’ educational and career decisions at the start of their working lives. Such systems are evaluated largely on predictive accur…
  crossref Karan Gupta 2026-08-07T18:42:08Z 置信度 0.70
• Application of artificial intelligence in dental crown prosthesis: A scoping review
  Abstract Background This scoping review aims to present the applications and performance of artificial intelligence (AI) in dental crown prostheses and related topics. Methods We conducted a literature search of PubMed, Scopus, Web of Science, Google Scholar, …
  crossref Hyun Jun Kong, Yu Lee Kim 2024-07-12T18:35:48Z 置信度 0.70
• Introducing Edge Intelligence to Smart Meters via Federated Split Learning
  Abstract The ubiquitous smart meters are expected to be a central feature of future smart grids by enabling the collection of massive fine-grained consumption data to support demand-side flexibility. However, the current smart meters are still not smart enough…
  crossref Yi Wang, Yehui Li, Dalin Qin, H. Vincent Poor 2024-02-29T02:02:16Z 置信度 0.70
• Predict First: BMS Executives Discuss Company's AI Approach
  crossref Alex Philippidis 2025-04-08T09:51:02Z 置信度 0.70
• Multi-scale Edge-Based U-Shape Network for Salient Object Detection
  crossref Han Sun, Yetong Bian, Ningzhong Liu, Huiyu Zhou 2021-11-01T01:02:59Z 置信度 0.70
• Intelligent Edge: The Intersection of Artificial Intelligence and Digital Communication—A Survey
  crossref Ghassan Samara, Essam Al Daoud, Raed Alazaidah, Mais Haj Qasem 等 2024-05-28T10:01:44Z 置信度 0.70
• APPLIED ARTIFICIAL INTELLIGENCE CALENDAR
  crossref 2007-06-25T05:18:19Z 置信度 0.70
• Explainable artificial intelligence in clinical healthcare: a systematic review, meta-analysis, and proposed clinxai framework (2017–2025)
  Background: AI models used in the clinic should be both accurate and explainable to the clinician, agency/regulatory officials, and patient. Despite a wide range of approaches developed in the field of Explainable AI (XAI) to explain models after the fact, cre…
  crossref Dr. Sonal Pramod Patil 2026-05-26T10:42:17Z 置信度 0.70
• The Use of Artificial Intelligence with Students with Identified Disabilities: A Systematic Review with Critique
  crossref Mary F. Rice, Shernette Dunn 2024-10-15T15:05:38Z 置信度 0.70
• Single and multi-graph orchestration in recommendation systems: A systematic literature review
  crossref Amna Meddeb, Lotfi Ben Romdhane 2025-12-26T16:36:30Z 置信度 0.70
• Artificial Intelligence research at the National University of Singapore
  crossref K. Ranai, C. L. Tan, S. C. Chan 2005-10-06T15:24:06Z 置信度 0.70
• Decentralized Strategy for Artificial Intelligence in Distributed IoT Ecosystems: Federation in ASSIST-IoT
  crossref Eduardo Garro, Ignacio Lacalle, Karolina Bogacka, Anastasiya Danilenka 等 2023-11-13T11:06:36Z 置信度 0.70
• EXAMPLES OF ARTIFICIAL INTELLIGENCE USE IN GYNECOLOGICAL DIAGNOSTIC METHODS: LITERATURE REVIEW
  crossref SILA GÜL, ŞENAY TOPUZ 2026-03-30T14:47:58Z 置信度 0.70
• A Systematic Review on Artificial Intelligence in Supporting Teaching Practice
  Abstract A burgeoning scholarly interest has emerged in exploring the roles of artificial intelligence (AI) in education. To enhance our understanding of how AI has supported and transformed teaching practices, we systematically reviewed the literature on AI i…
  crossref Lehong Shi, Ikseon Choi 2024-11-20T23:56:12Z 置信度 0.70
• UPE: A Device-Edge DNN Inference Artificial Intelligence Processor with Supporting Reconfigurable Training
  crossref Zhou Wang, Haochen Du, Yanqing Xu, Zhou Shu 等 2025-09-25T17:52:35Z 置信度 0.70
• A multi-modal framework for generating and evaluating diverse jokes using large language models
  crossref Minghua Tang 2026-05-28T16:13:44Z 置信度 0.70
• MAI 2026 Cover Page
  crossref 2026-06-08T19:49:29Z 置信度 0.70
• AIS 2026 Cover Page
  crossref 2026-07-28T19:11:59Z 置信度 0.70
• Optimizing automated scoring in ILSAs with prompt compression
  Automated scoring (AS) has become increasingly prevalent in educational measurement. However, applying it to international reading assessments remains challenging, particularly due to the length and complexity of the required prompting, driven by the need to i…
  crossref Ji Yoon Jung, Ummugul Bezirhan, Matthias von Davier 2026-02-11T16:59:32Z 置信度 0.70
• Fast building of stochastic configuration networks for big data analytics
  crossref Sergei Romanov, Dianhui Wang, Dmitrii Kaplun 2025-11-17T08:54:24Z 置信度 0.70
• Deep learning based algorithms for automatic modulation classification: Trends, challenges, and future directions
  crossref Shalu, Brahmjit Singh 2026-01-24T13:03:23Z 置信度 0.70
• Explainable Artificial Intelligence in Malware Analysis and Forensics
  Using explainable artificial intelligence (XAI) techniques in malware analysis and digital forensics shows promise for transforming cybersecurity practices. This paper examines the role of XAI in providing understandable insights into malware behavior and char…
  crossref Abdullah S. Alshraá, Mahdi Dibaei, Mamdouh Muhammad, Reinhard German 2026-05-08T21:30:13Z 置信度 0.70
• Self-Sustainable Artificial Intelligence Framework for Predictive Optimization of FSW-Processed Aluminium—Fly Ash Composites
  crossref E. Aravindaraj, Natrayan L 2026-06-22T19:52:40Z 置信度 0.70
• Artificial Intelligence–Driven Semantic Integration of Data Mining Services in Cloud Platforms
  The accelerated growth of heterogeneous information in cloud computing systems, serious concerns are raised with regards to semantic interoperability and computational efficiency of data mining services. In this study, it is suggested to provide a Semantic-Awa…
  crossref Harish Chamarthi 2026-05-20T19:49:10Z 置信度 0.70
• Front Matter
  crossref 2026-01-23T14:38:58Z 置信度 0.70
• Front Matter
  crossref 2025-11-14T15:07:42Z 置信度 0.70
• Preface
  crossref 2025-10-17T11:06:31Z 置信度 0.70
• Front Matter
  crossref 2026-05-01T08:42:43Z 置信度 0.70
• 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
  crossref 2026-04-16T19:51:54Z 置信度 0.70
• Artificial intelligence at the heart of nutrigenomics: Machine learning for a customized diet
  crossref Samudra Prosad Banik, Anand Swaroop, Harekrishna Jana, Debasis Bagchi 2026-07-24T08:30:54Z 置信度 0.70
• Artificial Intelligence and Digital Forensics: How They Support Each Other
  crossref Bhavani Thuraisingham, Khandakar Ashrafi Akbar 2026-05-13T22:56:49Z 置信度 0.70
• Preface
  crossref 2025-10-25T07:52:18Z 置信度 0.70
• Contents
  crossref 2025-10-25T07:52:18Z 置信度 0.70
• Applications of Artificial Intelligence and Machine Learning
  crossref 2026-04-07T08:56:39Z 置信度 0.70
• Preface
  crossref 2026-06-26T10:20:40Z 置信度 0.70
• AIDE 2026 TOC
  crossref 2026-06-05T19:37:49Z 置信度 0.70
• Will Computers Exhibit “Artificial Intuition”?
  crossref Jay Liebowitz, Giovanni Miragliotta 2026-02-11T06:16:06Z 置信度 0.70
• Copyright
  crossref 2026-05-22T11:22:59Z 置信度 0.70
• Dedication
  crossref 2026-05-29T11:36:54Z 置信度 0.70
• Acknowledgments
  crossref 2025-10-25T07:52:18Z 置信度 0.70
• A Study on the Design of an AI Philosophy Curriculum
  This study proposes a broadly applicable AI philosophy curriculum for universities. It first defines the meaning and characteristics of AI philosophy by examining the usage and significance of ethics, ethical theory, and philosophy in relation to AI discourse,…
  crossref Hyeongjoo Kim 2026-03-04T01:46:58Z 置信度 0.70
• ICAIM 2026 Cover Page
  crossref 2026-07-17T19:43:01Z 置信度 0.70
• 2026 International Conference on Electrical Engineering, Intelligent Control and Artificial Intelligence (EEICAI)
  crossref 2026-03-24T19:47:03Z 置信度 0.70
• Front Matter
  crossref 2026-03-14T01:24:49Z 置信度 0.70
• Contents
  crossref 2026-07-31T12:29:25Z 置信度 0.70
• Edge-aware transformer architecture for boundary-precise and real-time scene text segmentation
  crossref Yingying Sun, Yitong Wang 2026-07-15T01:34:18Z 置信度 0.70
• Introduction to IoT and IIoT security
  crossref S. Sudheer Mangalampalli, Prashanth Choppara, M. Ijaz Khan 2026-01-23T13:02:31Z 置信度 0.70
• 2026 6th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA)
  crossref 2026-06-24T19:48:44Z 置信度 0.70
• Forecasting of Electromagnetic Relay Epoch Using Artificial Intelligence
  crossref T. Maris Murugan, E. Sathish, C. Jayabharathi, A. Malligarjun 2026-02-06T21:27:18Z 置信度 0.70
• Application of machine learning and artificial intelligence methods for predicting antimicrobial resistance
  crossref Kun Mi, Simone Marini, Zhoumeng Lin 2025-09-23T11:38:32Z 置信度 0.70
• Dynamic quantum annealing optimized quantum neural networks for remaining useful lifetime prediction
  crossref Manoranjan Gandhudi, Gangadharan G.R. 2026-01-13T17:12:31Z 置信度 0.70
• From Tool to Order: The Dual Reshaping of Employment Structure and Human Social Structure by Artificial Intelligence
  Artificial intelligence is penetrating every corner of the economy and society at a pace far exceeding expectations, and its impact on human society has risen from that of a mere technical tool to a structural reordering of society itself. This paper systemati…
  crossref Jiafen Rao 2026-08-09T10:11:25Z 置信度 0.70
• Adoption of Artificial Intelligence in Accounting Practices: A Study of Moroccan Accounting Firms
  Abstract Artificial intelligence (AI) has brought significant transformation to professional practice across various industries, and accounting is one of the most highly impacted professions. By automating time-consuming and routine tasks such as data entry, i…
  crossref Haichar Mohammed 2026-07-21T05:23:11Z 置信度 0.70
• Exploring artificial intelligence approaches for studying intrinsically disorder proteins involvement in gastrointestinal cancers
  crossref Saswati Sarita Mohanty, P.J. Jayalekshmi, Madhulika Namdeo, Dinakara Rao Ampasala 2026-03-27T09:59:39Z 置信度 0.70
• Comparative study of machine learning methods for accurate prediction of logP and pKb
  Machine learning (ML) has become a powerful tool for predicting molecular physicochemical properties. It finds applications in various research and development sectors, such as materials science, pharmaceutical chemistry, and environmental science. However, sy…
  crossref Juda Baikété, Alhadji Malloum, Jeanet Conradie 2025-12-01T16:23:36Z 置信度 0.70
• Front Matter
  crossref 2026-06-05T21:30:42Z 置信度 0.70
• Dental Clinical Procedures using Artificial Intelligence
  crossref 2026-05-09T04:41:22Z 置信度 0.70
• Explanations of convergence theories
  crossref 2025-12-06T00:55:02Z 置信度 0.70
• Artificial Intelligence and Risk Management in Finance: A Scientometric Analysis
  Artificial Intelligence (AI) is revolutionizing the tools used in the prediction, automation, and decision-making processes in risk management. This paper performs a scientometric analysis of the application of AI in risk management using the Scopus database. …
  crossref Arpita Sharma, Anil Khurana, Deepika Goel, Sanjay Saini 2026-04-16T19:50:24Z 置信度 0.70
• Heterogeneous Patent Graph Prompt Learning
  crossref Xi Zeng, Pei-Yuan Lai, Chang-Dong Wang, Qing-Yun Dai 2026-01-27T20:06:08Z 置信度 0.70
• Same AI, different pathways: Unpacking mechanisms of AI-mediated learning across discipline-institution contexts
  Large language models (LLMs) are transforming higher education, yet their learning benefits likely depend on students’ AI literacy and how they prompt and verify AI outputs. This mixed-methods study investigates how AI literacy relates to prompting proficiency…
  crossref Qinjie Shen 2026-05-05T07:17:49Z 置信度 0.70
• ICAIM 2026 Cover Page
  crossref 2026-07-17T19:43:01Z 置信度 0.70
• The future of work: a human-centric approach with artificial intelligence
  crossref Elakkiya Elango, Gnanasankaran Natarajan, Ahamed Labbe Hanees, Balasubramanian Shanmuganathan 2026-03-07T07:37:26Z 置信度 0.70
• State of the art artificial intelligence assisted disease detection tools
  crossref Sushanta Kumar Das, Rahul Mishra, Amit Samanta, Saumendu Deb Roy 等 2026-07-24T08:30:54Z 置信度 0.70
• TRACE: An embodied paper-based human–AI co-doodling ecosystem with authorship traces
  Background While early ideation benefits from loose, ambiguous sketches on paper, most generative AI tools are screen-based, high-fidelity outputs and prompt-heavy control. These conditions can disrupt creative flow, increase fixation risk, and blur authorship…
  crossref Byungsoo Kim 2026-08-06T15:29:08Z 置信度 0.70
• Artificial Intelligence Needs Sensors: Building the Data Layer for Artificial Intelligence-Accelerated Discovery
  crossref 2026-03-18T10:05:04Z 置信度 0.70
• Title page
  crossref 2025-12-05T23:40:28Z 置信度 0.70
• Algorithmic validation
  crossref Tshilidzi Marwala 2026-02-20T10:57:30Z 置信度 0.70
• Artificial-Intelligence-Foundation Exam Questions Pdf 2026 - Fast Track Your Success
  crossref Anita Storey 2026-02-04T12:40:39Z 置信度 0.70
• Index
  crossref 2026-03-14T01:25:52Z 置信度 0.70
• Copyright and Reprint Permission
  crossref 2026-08-28T19:12:54Z 置信度 0.70
• Acknowledgments
  crossref 2025-10-17T11:06:31Z 置信度 0.70
• Solving assembly line balancing problems with reinforcement learning
  crossref Adil Baykasoğlu, Mümin Emre Şenol, Behice Meltem Kayhan 2025-11-15T06:24:41Z 置信度 0.70
• The role of learning and development in artificial intelligence-transformed pharma industry
  crossref Islam Elsaeed Hassan Elkholy 2026-08-28T12:54:38Z 置信度 0.70
• The Trajectory of Sustainable Development: From Nascent Concerns to Global Imperatives
  crossref Tankiso Moloi 2026-04-22T23:40:38Z 置信度 0.70
• A Review of Artificial Intelligence in Education: What is Ahead, What is Left Behind at Global Scale?
  This narrative review synthesizes recent research on artificial intelligence (AI) in education to address gaps in understanding its diverse roles, integration strategies, and pedagogical implications. The review aims to evaluate AI integration within curricula…
  crossref Mehmet Akın Bulut, Jeffrey Buckley 2026-08-04T13:32:58Z 置信度 0.70
• ParaKplex: A parallel local search algorithm for the maximum K-Plex problem
  crossref Jieyu Wu, Rui Sun, Yiyuan Wang, Minghao Yin 2026-08-20T15:03:47Z 置信度 0.70
• Index
  crossref 2026-06-26T10:20:40Z 置信度 0.70
• About the series editors
  crossref 2026-05-01T08:42:20Z 置信度 0.70
• Titlepage
  crossref 2025-11-08T11:16:19Z 置信度 0.70
• Artificial Intelligence in Neuroradiology
  This book offers an approachable guide to the use of artificial intelligence in neuroradiology, including how it's conducted and applied in practice.
  crossref 2026-08-11T22:11:08Z 置信度 0.70
• Index
  crossref 2026-07-31T12:29:25Z 置信度 0.70
• Smart Learning Environments: Artificial Intelligence in Pedagogy
  crossref 2026-01-23T20:09:33Z 置信度 0.70
• Title page
  crossref 2025-12-13T01:17:13Z 置信度 0.70
• ICAIM 2026 Cover Page
  crossref 2026-07-17T19:43:01Z 置信度 0.70
• NEW TECHNOLOGIES AND FUTURE DIRECTIONS FOR RENAL CARE USING ARTIFICIAL INTELLIGENCE IN KIDNEY DISEASE
  The Acute kidney injury, chronic kidney disease and final stages of chronic kidney disease are the types of kidney diseases affecting 850 million people worldwide. Early intervention, constant monitoring and target management are required to improve outcomes. …
  crossref Laxmitha Shetty 2026-02-04T09:59:09Z 置信度 0.70
• A Noise-Score-Based Cleaning Framework for Multi-Class Label Noise
  In machine learning, the objective of training a classification model is to learn the mapping relationship between features and labels. Label noise data has a severe detrimental effect on model performance, often surpassing the impact of feature noise. Consequ…
  crossref Pengfei Fu, Xiaofeng Liu, Mingyu Feng 2026-03-05T15:52:23Z 置信度 0.70
• Synthetic data
  crossref Tshilidzi Marwala 2026-02-20T10:57:30Z 置信度 0.70
• Revolutionizing Ophthalmology
  crossref Alejandro Espaillat 2026-04-22T22:45:38Z 置信度 0.70
• Applications of artificial intelligence in healthcare
  Artificial intelligence (AI) in the healthcare domain serves as a transformative analytical engine, deciphering the intricate connections between clinical data and patient outcomes to deliver pioneering solutions that elevate the standard of medical care. AI p…
  crossref Rashmi Rameshwari, Naina Soni, Devendra Kumar Verma, Santosh Kumar 2026-02-02T14:23:57Z 置信度 0.70
• Artificial Intelligence for Simulation and Neurosurgical Training
  This chapter explores the evolution and impact of artificial intelligence (AI) in enhancing neurosurgical education and skill development. Traditional neurosurgical training methods, including dissections on biological and synthetic models, are limited in the …
  crossref Andre A. Payman, Roberto Rodriguez Rubio 2026-08-28T13:03:11Z 置信度 0.70
• Depth-based segment any leaf: A zero-shot pipeline for plant disease detection
  crossref Duygu Sinanc Terzi 2026-05-27T09:01:43Z 置信度 0.70
• Artificial Intelligence and Academic Integrity at a Crossroads
  crossref Ben Kei Daniel, Lynnaire Sheridan, Nathalie Wierdak 2026-02-23T14:27:52Z 置信度 0.70
• The relationship between artificial intelligence literacy and artificial intelligence anxiety among nurses: A correlational descriptive study
  crossref Serap Açıkgöz, Merve Arslan, İlknur Göl 2026-02-13T20:36:29Z 置信度 0.70