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• Edge Case and Extreme Value Testing for PySpark DataFrames
  This framework provides a robust, scalable solution for unit testing PySpark DataFrames, focusing specifically on handling edge cases, null values, and extreme data points. Developed to support reliable data processing and quality assurance within large datase…
  datacite Balcer, Barbara 2024 置信度 0.66 Data engineering and data scienceData models, storage and indexingData qualityDatabase systems
• Revolutionizing Agriculture: The Polyhouse Paradigm and AI Integration in Modern Farming Practices
  The global agricultural landscape has undergone a significant transformation, marked by the integration of technological innovations and modern farming practices. This review explores the latest agricultural solutions, examining their applications, limitations…
  datacite Sharma, Sneha, Kumari, Raj, Nagar, Monika, Gaur, Divyanshi 等 2024 置信度 0.66
• Revolutionizing Agriculture: The Polyhouse Paradigm and AI Integration in Modern Farming Practices
  The global agricultural landscape has undergone a significant transformation, marked by the integration of technological innovations and modern farming practices. This review explores the latest agricultural solutions, examining their applications, limitations…
  datacite Sharma, Sneha, Kumari, Raj, Nagar, Monika, Gaur, Divyanshi 等 2024 置信度 0.66
• RETHINKING INDUSTRIAL MANAGEMENT WITH STATISTICS AND AI: FROM BEAN COUNTING TO BUSINESS NIRVANA
  Purpose: This paper argues that the strategic integration of statistics and artificial intelligence (AI) can transform industrial management from a reactive practice to a proactive, predictive science. We propose that this integration will usher in a new era o…
  datacite GOGA, Alexandru Silviu, ROTARU, Stefania Alina 2024 置信度 0.66 predictive analytics, artificial intelligence, statistics
• RETHINKING INDUSTRIAL MANAGEMENT WITH STATISTICS AND AI: FROM BEAN COUNTING TO BUSINESS NIRVANA
  Purpose: This paper argues that the strategic integration of statistics and artificial intelligence (AI) can transform industrial management from a reactive practice to a proactive, predictive science. We propose that this integration will usher in a new era o…
  datacite GOGA, Alexandru Silviu, ROTARU, Stefania Alina 2024 置信度 0.66 predictive analytics, artificial intelligence, statistics
• Digital transformation in business development: A comparative review of USA and Africa
  This comparative review explores the dynamics of digital transformation in business development, drawing parallels between the United States (USA) and various countries in Africa. Digital transformation, characterized by the integration of digital technologies…
  datacite Odeyemi Olubusola, Noluthando Zamanjomane Mhlongo, Titilola Falaiye, Adeola Olusola Ajayi-Nifise 等 2024 置信度 0.66 DigitalTransformationBusinessDevelopmentEconomic
• Digital transformation in business development: A comparative review of USA and Africa
  This comparative review explores the dynamics of digital transformation in business development, drawing parallels between the United States (USA) and various countries in Africa. Digital transformation, characterized by the integration of digital technologies…
  datacite Odeyemi Olubusola, Noluthando Zamanjomane Mhlongo, Titilola Falaiye, Adeola Olusola Ajayi-Nifise 等 2024 置信度 0.66 DigitalTransformationBusinessDevelopmentEconomic
• Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
  Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI) has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) to become an exemplary solution for unleashing the full potential of AI servi…
  datacite Wang, Xiaofei, Zhao, Yunfeng, Qiu, Chao, Hu, Qinghua 等 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications
  Due to the proliferation of smart devices and emerging applications, many next-generation technologies have been paid for the development of wireless networks. Even though commercial 5G has just been widely deployed in some countries, there have been initial e…
  datacite Pham, Quoc-Viet, Nguyen, Dinh C., Mirjalili, Seyedali, Hoang, Dinh Thai 等 2020 置信度 0.66 Networking and Internet Architecture (cs.NI)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Machine Learning in Edge Computing: Opportunities and Challenges
  The integration of machine learning in edge computing has emerged as a transformative paradigm, offering unprecedented opportunities and challenges. This review paper explores the consequences for network architecture, privacy, security, and resource efficienc…
  datacite Krishnamoorthy, Gowrisankar, Kumar Konidena, Bhargav, Pakalapati, Naveen, Pakalapati, Naveen 2024 置信度 0.66
• Machine Learning in Edge Computing: Opportunities and Challenges
  The integration of machine learning in edge computing has emerged as a transformative paradigm, offering unprecedented opportunities and challenges. This review paper explores the consequences for network architecture, privacy, security, and resource efficienc…
  datacite Krishnamoorthy, Gowrisankar, Kumar Konidena, Bhargav, Pakalapati, Naveen, Ranjan, Rahul 2024 置信度 0.66
• Collaborative Inference over Wireless Channels with Feature Differential Privacy
  Collaborative inference among multiple wireless edge devices has the potential to significantly enhance Artificial Intelligence (AI) applications, particularly for sensing and computer vision. This approach typically involves a three-stage process: a) data acq…
  datacite Seif, Mohamed, Nie, Yuqi, Goldsmith, Andrea J., Poor, H. Vincent 2024 置信度 0.66 Cryptography and Security (cs.CR)Information Theory (cs.IT)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
• AI-Enabled Online Adaptive Learning Platform and Learner's Performance: A Review of Literature
  Abstract: The development of AI-enabled technologies and its wide uses provided new edge in the field of education and redefined the process of delivery of education. The deployment of Artificial Intelligence in education presented various teaching opportuniti…
  datacite Amit Das, Sanjeev Malaviya 2024 置信度 0.66
• AI-Enabled Online Adaptive Learning Platform and Learner's Performance: A Review of Literature
  Abstract: The development of AI-enabled technologies and its wide uses provided new edge in the field of education and redefined the process of delivery of education. The deployment of Artificial Intelligence in education presented various teaching opportuniti…
  datacite Amit Das, Sanjeev Malaviya 2024 置信度 0.66
• CYBERSECURITY: CHALLENGES, STRATEGIES, AND INNOVATIONS
  In today's rapidly evolving digital landscape, cybersecurity stands as a critical frontier in safeguarding individuals, organizations, and nations against a myriad of cyber threats. This research paper delves into the multifaceted realm of cybersecurity, aimin…
  datacite kiran sangale 2024 置信度 0.66 Cybersecurity, Vulnerability management, Blockchain, Quantum-resistant, Malware, Artificial intelligence, Threat landscape
• CYBERSECURITY: CHALLENGES, STRATEGIES, AND INNOVATIONS
  In today's rapidly evolving digital landscape, cybersecurity stands as a critical frontier in safeguarding individuals, organizations, and nations against a myriad of cyber threats. This research paper delves into the multifaceted realm of cybersecurity, aimin…
  datacite kiran sangale 2024 置信度 0.66 Cybersecurity, Vulnerability management, Blockchain, Quantum-resistant, Malware, Artificial intelligence, Threat landscape
• Digital marketing analytics: A review of strategies in the age of big data and AI
  Digital Marketing Analytics has become increasingly crucial in the contemporary business landscape, especially with the advent of Big Data and Artificial Intelligence (AI). This paper provides a comprehensive review of the strategies employed in Digital Market…
  datacite Rhoda Adura Adeleye, Kehinde Feranmi Awonuga, Onyeka Franca Asuzu, Ndubuisi Leonard Ndubuisi 等 2024 置信度 0.66 Digital Marketing AnalyticsBig DataArtificial IntelligenceMachine LearningPredictive Analytics
• Digital marketing analytics: A review of strategies in the age of big data and AI
  Digital Marketing Analytics has become increasingly crucial in the contemporary business landscape, especially with the advent of Big Data and Artificial Intelligence (AI). This paper provides a comprehensive review of the strategies employed in Digital Market…
  datacite Rhoda Adura Adeleye, Kehinde Feranmi Awonuga, Onyeka Franca Asuzu, Ndubuisi Leonard Ndubuisi 等 2024 置信度 0.66 Digital Marketing AnalyticsBig DataArtificial IntelligenceMachine LearningPredictive Analytics
• HYBRID ECOSYSTEMS AND INTELLIGENT EDGES: MAPPING THE EVOLUTION OF CLOUD COMPUTING IN THE COMING DECADE
  This article presents a comprehensive analysis of cloud computing trends and predictions for the decade 2024-2034, synthesizing current research and industry insights to forecast the evolution of cloud technologies and their impact on business operations. The …
  datacite Researcher 2024 置信度 0.66 Cloud Computing, Hybrid Cloud, Edge Computing, AI Integration, Sustainable IT
• HYBRID ECOSYSTEMS AND INTELLIGENT EDGES: MAPPING THE EVOLUTION OF CLOUD COMPUTING IN THE COMING DECADE
  This article presents a comprehensive analysis of cloud computing trends and predictions for the decade 2024-2034, synthesizing current research and industry insights to forecast the evolution of cloud technologies and their impact on business operations. The …
  datacite Researcher 2024 置信度 0.66 Cloud Computing, Hybrid Cloud, Edge Computing, AI Integration, Sustainable IT
• Edge AI: A Taxonomy, Systematic Review and Future Directions
  Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and devices that receive, cache, process, and analyze data in close communication with the location where the data is captured with AI technology. Recent advancements in AI effi…
  datacite Gill, Sukhpal Singh, Golec, Muhammed, Hu, Jianmin, Xu, Minxian 等 2024 置信度 0.66 Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciencesFOS: Computer and information sciences
• Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
  The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in recent years has promoted the evolution of mobile networking and the future Internet toward an AI-integrated Internet-of-Things (IoT) era. Nevertheless, most AI techniq…
  datacite Vu, Thai-Hoc, Jagatheesaperumal, Senthil Kumar, Nguyen, Minh-Duong, Van Huynh, Nguyen 等 2024 置信度 0.66 Networking and Internet Architecture (cs.NI)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• NEURO-AI CONVERGENCE: BRIDGING THE GAP BETWEEN NEUROSCIENCE AND ARTIFICIAL INTELLIGENCE
  This comprehensive article explores the burgeoning field of neuro-AI convergence, examining the intricate relationship between neuroscience and artificial intelligence. The article traces the historical context of this interdisciplinary domain, highlighting ke…
  datacite Researcher 2024 置信度 0.66 Neuro-AI Convergence, Brain-Inspired Computing, Neuromorphic Systems, Cognitive Modeling, Brain-Computer Interfaces
• NEURO-AI CONVERGENCE: BRIDGING THE GAP BETWEEN NEUROSCIENCE AND ARTIFICIAL INTELLIGENCE
  This comprehensive article explores the burgeoning field of neuro-AI convergence, examining the intricate relationship between neuroscience and artificial intelligence. The article traces the historical context of this interdisciplinary domain, highlighting ke…
  datacite Researcher 2024 置信度 0.66 Neuro-AI Convergence, Brain-Inspired Computing, Neuromorphic Systems, Cognitive Modeling, Brain-Computer Interfaces
• D4.1-SotA Review and Initial Definition of BeGREEN O-RAN Intelligent Plane, and AI/ML Algorithms for NFV User-Plane and Edge Service Control Energy Efficiency Optimization
  BeGREEN is proposing an evolved Radio Access Network (RAN) for Beyond 5G (B5G) communication networks with the aim of accommodating increased traffic and service demands and of improving energy efficiency. BeGREEN covers a wide range of mechanisms to reduce en…
  datacite Sánchez González, Juan, Pérez-Romero, Jordi, Sallent Roig, José Oriol, Umbert Juliana, Anna 等 2023 置信度 0.66
• D4.1-SotA Review and Initial Definition of BeGREEN O-RAN Intelligent Plane, and AI/ML Algorithms for NFV User-Plane and Edge Service Control Energy Efficiency Optimization
  BeGREEN is proposing an evolved Radio Access Network (RAN) for Beyond 5G (B5G) communication networks with the aim of accommodating increased traffic and service demands and of improving energy efficiency. BeGREEN covers a wide range of mechanisms to reduce en…
  datacite Sánchez González, Juan, Pérez-Romero, Jordi, Sallent Roig, José Oriol, Umbert Juliana, Anna 等 2023 置信度 0.66
• AI-DRIVEN ALGORITHMIC TRADING: ADVANCED TECHNIQUES RESHAPING FINANCIAL MARKETS
  This article explores the cutting-edge applications of artificial intelligence (AI) in algorithmic trading, examining the transformative impact of advanced techniques on financial markets. We delve into the principles and applications of reinforcement learning…
  datacite Researcher 2024 置信度 0.66 Algorithmic Trading, Reinforcement Learning, Deep Learning in Finance Sentiment Analysis, AI-driven Risk Manag
• AI-DRIVEN ALGORITHMIC TRADING: ADVANCED TECHNIQUES RESHAPING FINANCIAL MARKETS
  This article explores the cutting-edge applications of artificial intelligence (AI) in algorithmic trading, examining the transformative impact of advanced techniques on financial markets. We delve into the principles and applications of reinforcement learning…
  datacite Researcher 2024 置信度 0.66 Algorithmic Trading, Reinforcement Learning, Deep Learning in Finance Sentiment Analysis, AI-driven Risk Manag
• AI-DRIVEN ALGORITHMIC TRADING: ADVANCED TECHNIQUES RESHAPING FINANCIAL MARKETS
  This article explores the cutting-edge applications of artificial intelligence (AI) in algorithmic trading, examining the transformative impact of advanced techniques on financial markets. We delve into the principles and applications of reinforcement learning…
  datacite Researcher 2024 置信度 0.66 Algorithmic Trading, Reinforcement Learning, Deep Learning in Finance Sentiment Analysis, AI-driven Risk Management
• AI-DRIVEN ALGORITHMIC TRADING: ADVANCED TECHNIQUES RESHAPING FINANCIAL MARKETS
  This article explores the cutting-edge applications of artificial intelligence (AI) in algorithmic trading, examining the transformative impact of advanced techniques on financial markets. We delve into the principles and applications of reinforcement learning…
  datacite Researcher 2024 置信度 0.66 Algorithmic Trading, Reinforcement Learning, Deep Learning in Finance Sentiment Analysis, AI-driven Risk Management
• Strategic Innovation in HRIS and AI for Enhancing Workforce Productivity in SMEs A Systematic Review
  This systematic review critically examines the adoption and integration of Human Resource Information Systems (HRIS) and Artificial Intelligence (AI) in small and medium-sized enterprises (SMEs), with a focus on enhancing workforce productivity and strategic d…
  datacite Mehlwana, Luyanda, Nekhavhambe, Uripfe, Thango (Y2-rated Researcher), Dr Bonginkosi 2024 置信度 0.66 Electrical engineering not elsewhere classified
• Strategic Innovation in HRIS and AI for Enhancing Workforce Productivity in SMEs A Systematic Review
  This systematic review critically examines the adoption and integration of Human Resource Information Systems (HRIS) and Artificial Intelligence (AI) in small and medium-sized enterprises (SMEs), with a focus on enhancing workforce productivity and strategic d…
  datacite Mohlala, Tshepho, Mehlwana, Luyanda, Nekhavhambe, Uripfe, Thango (Y2-rated Researcher), Dr Bonginkosi 2024 置信度 0.66 Electrical engineering not elsewhere classified
• Strategic Innovation in HRIS and AI for Enhancing Workforce Productivity in SMEs A Systematic Review.pdf
  This systematic review critically examines the adoption and integration of Human Resource Information Systems (HRIS) and Artificial Intelligence (AI) in small and medium-sized enterprises (SMEs), with a focus on enhancing workforce productivity and strategic d…
  datacite Mehlwana, Luyanda, Thango (Y2-rated Researcher), Dr Bonginkosi 2024 置信度 0.66 Electrical engineering not elsewhere classified
• REVOLUTIONIZING TELEMEDICINE: THE IMPACT OF AI AND AR IN MOROCCAN HEALTHCARE
  In the dynamic landscape of Moroccan healthcare, the fusion of cutting-edge technologies like Artificial Intelligence (AI) and Augmented Reality (AR) is reshaping patient care and medical practices, particularly in the realm of telemedicine. This paper explore…
  datacite OUAJID, Achraf 2024 置信度 0.66
• EVALUATION OF PRIVACY-PRESERVING AI USING EDGE COMPUTING IN V2X FRAMEWORK
  The advent of Vehicle-to-Everything (V2X) communication has ushered in a new era of intelligent urban transportation systems, promising enhanced safety, efficiency, and connectivity. However, the extensive data sharing inherent in V2X networks poses significan…
  datacite Researcher 2024 置信度 0.66 Privacy-preserving AI, Edge computing, V2X communication, Intelligent transportation systems, Federated learning, Differential privacy, Homomorphic encryption, Data privacy, Real-time data processing, Decentralized computing
• EVALUATION OF PRIVACY-PRESERVING AI USING EDGE COMPUTING IN V2X FRAMEWORK
  The advent of Vehicle-to-Everything (V2X) communication has ushered in a new era of intelligent urban transportation systems, promising enhanced safety, efficiency, and connectivity. However, the extensive data sharing inherent in V2X networks poses significan…
  datacite Researcher 2024 置信度 0.66 Privacy-preserving AI, Edge computing, V2X communication, Intelligent transportation systems, Federated learning, Differential privacy, Homomorphic encryption, Data privacy, Real-time data processing, Decentralized computing
• Towards Graph Prompt Learning: A Survey and Beyond
  Large-scale "pre-train and prompt learning" paradigms have demonstrated remarkable adaptability, enabling broad applications across diverse domains such as question answering, image recognition, and multimodal retrieval. This approach fully leverages the poten…
  datacite Long, Qingqing, Yan, Yuchen, Zhang, Peiyan, Fang, Chen 等 2024 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Social and Information Networks (cs.SI)FOS: Computer and information sciencesFOS: Computer and information sciences
• When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design
  This review explores the intersection of bio-plausible artificial intelligence in the form of Spiking Neural Networks (SNNs) with the analog In-Memory Computing (IMC) domain, highlighting their collective potential for low-power edge computing environments. Th…
  datacite Moitra, Abhishek, Bhattacharjee, Abhiroop, Li, Yuhang, Kim, Youngeun 等 2024 置信度 0.66 Neural and Evolutionary Computing (cs.NE)Artificial Intelligence (cs.AI)Hardware Architecture (cs.AR)Machine Learning (cs.LG)FOS: Computer and information sciences
• Quantum Apex AI Platform-{Visit Our Website-Quantum Apex AI Scam}-Read All Honour Reviews By Experiences Trader !!
  Quantum Apex AI Trading Platform: Transforming the Landscape of Financial Trading Introduction Quantum Apex AI-In today's fast-paced financial world, staying ahead requires more than just intuition and experience. Quantum Apex, the pioneering AI trading platfo…
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• Quantum Apex AI ™| The Updated & Official Site 【2024】-Join Now With US !!
  Quantum Apex AI Crypto Trading Platform: Revolutionizing Crypto Trading with Artificial Intelligence Quantum Apex AI Review-In recent years, the world of cryptocurrency trading has seen significant advancements, not only in the growth of the market itself but …
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• Quantum Apex AI Review-{SPECIAL Offer FOR 2024 }-Its Legitmate Crypto Trading Platform !!
  Breakthrough in Investing: Unleash Your Potential with Quantum Apex AI Quantum Apex AI-Imagine a world where investment decisions are powered by the very principles of quantum mechanics. In this transformative era, Quantum Apex AI is not just a tool; it’s a re…
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• Quantum Apex AI Official Website-The Future of Trading: An In-Depth Look at the Quantum Apex AI App Trading Platform !!
  Navigating the Markets with Precision: The Power of Quantum Apex AI Trading Introduction Quantum Apex AI-In the rapidly evolving world of finance, the stock market remains a dynamic and often unpredictable frontier. Investors strive to make informed decisions,…
  datacite apexai 2024 置信度 0.66
• Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition
  crossref Marcelo Prates, Luis Lamb 2018-12-17T21:10:51Z 置信度 0.70
• Edge Computing and AI-Powered Drone Magnetometers Module Application
  crossref Priyanka Singh, R. Kishore Kanna, K Venkatraman, Shrddha Sagar 2025-07-14T17:40:02Z 置信度 0.70
• Changes in the Artificial intelligence journal
  crossref Daniel G. Bobrow 2003-03-14T13:02:52Z 置信度 0.70
• APPLIED ARTIFICIAL INTELLIGENCE CALENDAR
  crossref 2007-06-25T05:18:09Z 置信度 0.70
• Dynamic Resource Scheduling for UAV-Assisted Vehicular Edge Computing: A Multi-Agent RL Approach
  crossref Zhuorong Li, Wanli Zhang 2026-03-24T19:45:52Z 置信度 0.70
• RETRACTED ARTICLE: Management of university and artificial intelligence statistics for 5G edge computing
  crossref Jianjun Hou, Lijun Xu 2021-07-19T09:03:26Z 置信度 0.70
• Edge color difference detection of color image based on artificial intelligence technology
  In order to solve the problems of the traditional methods in detecting color image edge chromatic aberration, such as the poor accuracy of detection and the poor detection effect, a color image edge chromatic aberration detection method based on artificial int…
  crossref Hao Li 2021-06-15T14:05:29Z 置信度 0.70
• Artificial Intelligence in Software Test Automation: A Systematic Literature Review
  crossref Anna Trudova, Michal Dolezel, Alena Buchalcevova 2020-05-18T22:14:02Z 置信度 0.70
• Efficient Edge-Preserving Multi-View Stereo Network for Depth Estimation
  Over the years, learning-based multi-view stereo methods have achieved great success based on their coarse-to-fine depth estimation frameworks. However, 3D CNN-based cost volume regularization inevitably leads to over-smoothing problems at object boundaries du…
  crossref Wanjuan Su, Wenbing Tao 2023-06-27T16:10:41Z 置信度 0.70
• Artificial Intelligence Techniques in Enhancing Livestock Adaptation to Climate Change: A Systematic Literature Review
  Climate change is increasingly affecting livestock systems worldwide by exacerbating heat stress, water shortages, and disease prevalence, which are critical challenges that can jeopardize the productivity and sustainability of this sector, particularly in vul…
  crossref Lawrence Mkhwebu, Sibusisiwe Dube 2026-04-22T06:22:51Z 置信度 0.70
• Artificial Intelligence and Corporate Tax Risk Management: A Systematic Literature Review
  This study presents a systematic literature review examining the transformative role of artificial intelligence (AI) in corporate tax risk management. As globalization, regulatory scrutiny, and digitalization increase corporate tax complexity, AI technologies …
  crossref Ismail Ben-alla, Mohammed Nmili 2026-02-06T06:08:09Z 置信度 0.70
• Artificial intelligence in the work process. A reflection on the proposed European Union regulations on artificial intelligence from an occupational health and safety perspective
  crossref Maciej Jarota 2023-05-13T00:01:06Z 置信度 0.70
• Guest Editorial: Cutting‐Edge Artificial Intelligence for Next‐Generation Control Challenges
  crossref Zhengtai Xie, Predrag S. Stanimirović, Shuai Li 2026-08-05T09:45:17Z 置信度 0.70
• WONK: keeping the edge in the era of artificial intelligence
  Learning outcomes After completion of the case study, students will learn to use Lean Canvas to identify business opportunity. They will also learn the balancing of exploitation of profit-producing activities and exploring new opportunities according to the en…
  crossref Nimisha Singh 2024-04-12T03:52:25Z 置信度 0.70
• Decentralized Federated Learning for Agricultural Plant Diseases Identification on Edge Devices
  crossref Kundjanasith Thonglek, Prapaporn Rattanatamrong 2023-12-19T14:18:52Z 置信度 0.70
• Review for "Deep Eutectic Solvents in Lignocellulosic Biorefineries: A Comprehensive Review of Mechanistic Insights, Molecular Modeling, and Artificial Intelligence"
  crossref 2026-06-03T21:02:10Z 置信度 0.70
• Review of: "Metacognition and Pedagogy in the Era of Artificial Intelligence"
  crossref Antonio Carlos Pavão 2026-01-07T14:59:14Z 置信度 0.70
• Canada’s Proposed Artificial Intelligence and Data Act (AIDA): A Critical Review
  This research paper provides an in-depth examination of the forthcoming Canadian Artificial Intelligence and Data Act (AIDA), emphasizing its likely implications for the growth of AI. The study reveals pervasive ambiguity within the Act's clauses, thereby comp…
  crossref Derek Brown 2024-02-01T16:04:02Z 置信度 0.70
• Incorporating Artificial Intelligence (AI) into Marketing Programs: A Review
  This paper aims to highlight the contributions of artificial intelligence (AI) in multiple subfields with an emphasis on how AI directly impacts marketing programs through a systematic literature review. To address the current gap in the effectiveness of imple…
  crossref Hannah Rose, Hamid Abbassi 2025-09-08T19:33:15Z 置信度 0.70
• Review of Generative Artificial Intelligence Use Cases Applicable to Manufacturing Industry
  crossref Nilesh D Kulkarni Saurav 2024-05-13T06:33:57Z 置信度 0.70
• Human activity recognition in artificial intelligence framework: a narrative review
  crossref Neha Gupta, Suneet K. Gupta, Rajesh K. Pathak, Vanita Jain 等 2022-01-17T19:03:57Z 置信度 0.70
• A review of artificial intelligence in herbarium specimen image analysis
  Abstract The digitisation of hundreds of millions of herbarium specimen images and their labels has created an unprecedented resource for taxonomy, ecology, and conservation, motivating the development of artificial intelligence (AI) solutions. Automated analy…
  crossref Yu-Yue Guo, Haibin Cai, Gemma L. C. Bramley, Hannah J. Atkins 等 2025-10-31T06:59:39Z 置信度 0.70
• Awards: IJCAI-87 International joint conference on artificial intelligence
  crossref 2003-03-14T13:02:52Z 置信度 0.70
• Corrections to “A Review on the Application of Internet of Medical Things in Wearable Personal Health Monitoring: A Cloud-Edge Artificial Intelligence Approach”
  crossref Karisma Trinanda Putra, Ahmad Zaki Arrayyan, Nur Hayati, Firdaus 等 2024-11-08T18:42:46Z 置信度 0.70
• Review for "Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach"
  crossref 2025-05-13T17:13:03Z 置信度 0.70
• Review for "Artificial Intelligence Search Tools for Evidence Synthesis: Comparative Analysis and Implementation Recommendations"
  crossref 2025-09-30T23:44:52Z 置信度 0.70
• Artificial Intelligence In Transfusion Medicine: A Contemporary Review
  crossref 2026-03-03T09:36:16Z 置信度 0.70
• Intent-Driven Embodied Artificial Intelligence
  Abstract Embodied Artificial Intelligence (Embodied AI) has emerged as a promising paradigm for developing more general and adaptive intelligent systems, emphasizing that intelligence emerges from continuous interaction among perception, cognition, and action …
  crossref Nanning Zheng 2026-08-05T11:51:21Z 置信度 0.70
• Review for "Toward Comprehensive Scientific Information on Plastic-Related Chemicals Powered by Artificial Intelligence"
  crossref 2025-12-19T21:10:03Z 置信度 0.70
• Review for "Artificial Intelligence in Enzyme Catalysis: Emerging Trends and Applications in Biocatalyst Engineering"
  crossref 2026-03-31T21:09:59Z 置信度 0.70
• Artificial Intelligence-Based Optimal Power Flow under Renewable Uncertainty
  Abstract The swift worldwide shift to the low-carbon energy regimes has resulted in the significant growth in the utilisation of renewable energy sources, including wind and solar energy. Although this change is necessary to reach the sustainability and climat…
  crossref BEKİR EMRE ALTUN 2026-06-03T08:58:14Z 置信度 0.70
• Review for "Perceptions, Attitudes, and Concerns on Artificial Intelligence Applications in Patients with Cancer"
  crossref 2025-05-25T06:28:41Z 置信度 0.70
• Review of: "Artificial Intelligence and Digital Technologies in the Future Education"
  crossref Dr. Manoj Kumar 2023-05-08T03:09:07Z 置信度 0.70
• Artificial intelligence models applied in health technology assessment
  crossref Denis Satoshi Komoda 2026-02-02T13:22:16Z 置信度 0.70
• Review of: "Metacognition and Pedagogy in the Era of Artificial Intelligence"
  crossref Quincy Q. Wang 2025-08-10T20:22:39Z 置信度 0.70
• Advances in artificial intelligence for olfaction and gustation: a comprehensive review
  crossref Zhihao Hao, Haisheng Li, Jianhua Guo, Yong Xu 2025-07-12T03:38:09Z 置信度 0.70
• A Comprehensive Review of Responsible Artificial Intelligence: Ethics, Fairness, and Explainability
  The rapid advancement of Artificial Intelligence (AI) technologies has transformed decision-making processes across healthcare, finance, education, governance, cybersecurity, and enterprise systems. However, increasing dependence on AI-driven systems has intro…
  crossref Dr. Rohan Mehta 2026-08-04T12:29:52Z 置信度 0.70
• Review for "Toward Comprehensive Scientific Information on Plastic-Related Chemicals Powered by Artificial Intelligence"
  crossref 2025-12-19T21:10:03Z 置信度 0.70
• Editorial: the 18th artificial intelligence and cognitive science conference (AICS-07)
  crossref Michael G. Madden, Sarah Jane Delany 2008-09-12T12:59:21Z 置信度 0.70
• Feature selection methods on deep learning algorithms for stock price forecasting: A systematic literature review
  crossref Fatih Sarıkoç 2026-06-25T07:56:12Z 置信度 0.70
• Application of artificial intelligence in predicting rock fragmentation: A review
  crossref Autar K. Raina, Rishikesh Vajre, Anand Sangode, K. Ram Chandar 2024-01-21T13:08:53Z 置信度 0.70
• Generative Artificial Intelligence for Automated Scientific Literature Analysis: A Review
  The rapid expansion of scientific publications across disciplines has made traditional literature review methodologies increasingly difficult to execute efficiently. Researchers must analyze thousands of articles, identify emerging trends, synthesize evidence,…
  crossref Dr. Ahmed Raza, Dr. Ayesha Khan 2026-08-04T17:20:10Z 置信度 0.70
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