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• An Overview of Explainable Artificial Intelligence (XAI) and Its Application
  This assessment paper emphasise about newb technology of Explainable Artificial Intelligence (XAI) is an emerging and vital field of research that addresses the "black box" problem prevalent in modern machine learning. As AI systems become more complex and int…
  crossref Padma Lochan Pradhan, Amol Rajmane, Chaitanya Patil 2026-07-14T12:05:34Z 置信度 0.70
• Standardized assessment of LLM English proficiency
  crossref Shaonan Wang, Shangchao Min, Hui Wang, Xinyu Gao 等 2026-08-02T18:22:34Z 置信度 0.70
• Hand information extraction using artificial intelligence for Alzheimer's disease diagnosis
  crossref Eyitomilayo Yemisi Babatope, Alejandro Álvaro Ramírez-Acosta, Mireya Saraí García-Vázquez 2026-05-01T08:42:43Z 置信度 0.70
• Design and Integration of Artificial Intelligence in Zero-Trust Cyber Security Frameworks
  Network perimeters erosion requires transition to Zero-Trust Architecture (ZTA). In this paper, the framework, AI-Enhanced Dynamic Zero-Trust (AI-DZT), suggests the incorporation of AI/ML into the very structure of ZTA. The AIDZT system substitutes the fixed p…
  crossref Manjunadh Maddhuru 2026-05-20T19:49:10Z 置信度 0.70
• APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN HERBAL NANOTECHNOLOGY: CURRENT ADVANCES AND FUTURE PERSPECTIVES
  This review also addresses the regulatory and ethical issues associated with the integration of AI in nano herbal medicine. AI has established itself as an essential technology within nano herbal medicine, supporting the analysis of vast datasets, the anticipa…
  crossref Gomasa Pradeep kumar, Ubaidulla Uthumansha 2026-05-29T10:49:37Z 置信度 0.70
• Information gain-based diffusion model for group recommendation
  crossref Lijin Mu, Nan Wang, Rui Liu, Ziqi Liu 2026-05-04T09:04:24Z 置信度 0.70
• Case Studies on Explainable Artificial Intelligence in Climate and Environmental Analysis
  crossref Leenata Parab, Rajiv Iyer, Vedprakash Maralapalle 2026-05-08T21:30:13Z 置信度 0.70
• Artificial intelligence in multi-omics analysis of gastrointestinal diseases
  The assessment and treatment of gastrointestinal diseases face numerous obstacles, including inadequate diagnostic methods, limited therapeutic alternatives, and unequal access to medical services across different regions. However, advancements in technology s…
  crossref Debasree Sarkar 2026-02-27T12:37:29Z 置信度 0.70
• Deep hybrid vision transformers for improved landslide mapping in geospatial remote sensing
  ABSTRACT Landslide identification using automated techniques helps researchers improve the accuracy of state-of-the-art landslide prediction models. In recent years, convolutional neural networks (CNNs) have seen considerable success in analyzing remote-sensin…
  crossref S. Sreelakshmi, S.S. Vinod Chandra 2026-07-07T16:18:41Z 置信度 0.70
• Introduction: Navigating the Intelligence Age in Early Childhood and Primary Education
  crossref Stamatios Papadakis 2026-05-10T22:36:30Z 置信度 0.70
• Network Evolution Mechanism of Intelligence Logistics Supply Chain Ecosystem
  In the new development stage, the intelligence level of the logistics industry has advanced rapidly, and the intelligently driven logistics supply chain ecosystem is facing challenges brought by the development of the times. Therefore, starting from the source…
  crossref Yichao Chen 2026-08-28T08:41:05Z 置信度 0.70
• DeepSoundVisionNet: A new approach to urban sound classification using visual representations of audio signals
  A novel approach for urban sound classification using visual representations of audio signals presented in this study. Leveraging the UrbanSound8K dataset, audio signals are transformed into visual formats through Chromagram, Short-Time Fourier Transform (STFT…
  crossref Ilkay Cinar 2026-02-17T08:06:03Z 置信度 0.70
• Scope and application of artificial intelligence in food supply chain management
  crossref Thania Maion Melo, Jenyffer Guerra, Cristina L.M. Silva 2026-05-29T11:36:54Z 置信度 0.70
• Towards Semantic Understanding of Graph Neural Network Layers Embedding with Functional Semantic Activation Mapping
  Graph Neural Networks (GNNs) are now a standard tool for modelling graph structured data in applications such as molecular property prediction, drug discovery, recommender systems, and citation networks. However, despite their strong predictive performance, th…
  crossref Kislay Raj, Alessandra Mileo 2026-01-09T18:56:31Z 置信度 0.70
• AI Augmented Big Data Framework for Edge Driven Threat Intelligence in Software Defined Networks
  crossref Het Mehta 2026-04-20T20:01:37Z 置信度 0.70
• Preface
  crossref 2025-11-14T15:07:42Z 置信度 0.70
• Introduction
  crossref Min Wu 2026-04-15T22:45:33Z 置信度 0.70
• ICARAI 2026 Copyright Page
  crossref 2026-08-10T19:20:57Z 置信度 0.70
• MXenes for Wearable Multifunctional Sensing and Artificial Intelligence Devices
  The exponential growth of artificial intelligence (AI) has led to an escalating demand for energy-efficient, data-intensive computing solutions. Conventional von Neumann architectures, constrained by inherent memory-processor bottlenecks, struggle to meet thes…
  crossref Long Chen 2025-04-01T08:47:50Z 置信度 0.70
• Efficient Craniofacial Microsomia Detection via Edge-Focused 3D Point Cloud Network
  crossref Qichen Zhao, Wei Emma Zhang, Sarbin Ranjitkar, Robin Viltoriano 等 2025-11-26T08:09:01Z 置信度 0.70
• Cognitive and artificial intelligence evaluation framework
  Abstract The Cognitive and Artificial Intelligence Evaluation (CAIE) framework provides a structured and domain-independent methodology for assessing the intelligence of artificial and information systems in a broader perspective. The primary achievement of th…
  crossref Attila Márton Putnoki, Tamás Orosz 2026-01-28T04:15:41Z 置信度 0.70
• Description of each section
  crossref 2025-12-06T00:55:02Z 置信度 0.70
• Perspectives on Artificial Intelligence and Internet of Things for Sustainable Environment
  crossref 2025-12-05T20:19:38Z 置信度 0.70
• Convolutional Neural Networks
  crossref Oliver Kramer 2026-05-09T05:13:53Z 置信度 0.70
• Preface
  crossref 2026-03-14T01:25:52Z 置信度 0.70
• Our Changing World: New Trends in Social Sciences and Artificial Intelligence
  crossref Semih Sefer 2026-06-11T11:32:01Z 置信度 0.70
• Artificial intelligence and edge computing for machine maintenance-review
  Abstract Industrial internet of things (IIoT) has ushered us into a world where most machine parts are now embedded with sensors that collect data. This huge data reservoir has enhanced data-driven diagnostics and prognoses of machine health. With technologies…
  crossref Abubakar Bala, Rahimi Zaman Jusoh A. Rashid, Idris Ismail, Diego Oliva 等 2024-04-15T13:01:30Z 置信度 0.70
• Harnessing artificial intelligence: Technologies, tools, and their role in advancing environmental sustainability
  crossref Nurul Asmak Md Lazim, Ida Idayu Muhamad 2025-11-29T05:52:28Z 置信度 0.70
• Deep reinforcement learning in applied control: Challenges, analysis, and insights
  crossref Klinsmann Agyei, Pouria Sarhadi, Daniel Polani 2026-07-02T08:58:44Z 置信度 0.70
• Autonomous sailing with sim-to-real reinforcement learning
  Autonomous sailing offers a sustainable alternative for reducing greenhouse gas emissions in maritime transport, aligning with global environmental targets. This study explores the application of reinforcement learning (RL) to autonomous sailing, addressing ch…
  crossref Kiki J.A. Bink, Bülent Düz, Gabriel D. Weymouth 2026-08-10T20:54:25Z 置信度 0.70
• Integrating liquid biopsy and artificial intelligence for precision detection of cancer signatures
  crossref Zainab Siddiqui, Maryam Koopaie, Nishat Fatima, Mohd Amir Shafeeque 2026-05-01T08:51:52Z 置信度 0.70
• Paediatric Pneumonia Detection Using Edge-Based Feature Extraction Techniques
  crossref Pratyush Panda, Subhalaxmi Das 2025-10-30T17:57:59Z 置信度 0.70
• An extensive analysis of artificial intelligence and internet of things for modern healthcare realm
  crossref Anh Pham Thi Ngoc, Khushwant Singh 2025-10-25T07:52:18Z 置信度 0.70
• Designing Lightweight CNN for Images: Architectural Components and Techniques
  crossref Lilian Hollard, Lucas Mohimont, Luiz Angelo Steffenel 2024-02-07T03:34:58Z 置信度 0.70
• MLOps and lifecycle management
  Companies today use increasingly more machine learning in their products and services. From recommendation engines to computer vision to natural language processing, the usage of machine learning is exploding. But while the adoption of machine learning continu…
  crossref Swarup Panda 2025-08-03T16:13:31Z 置信度 0.70
• Adaptive text generation with personality types and continuous emotion intensity
  crossref Jingyi Zhou, Senlin Luo, Haofan Chen 2026-07-01T07:26:58Z 置信度 0.70
• Causal Artificial Intelligence Counterfactual Prediction of Material’s Superconducting Critical Temperature
  A causal artificial intelligence (AI) model was developed to support the discovery of new superconducting materials by analysing causal relationships between intervalvalued elemental descriptors and the superconducting critical temperature, T c .The aim is to …
  crossref Želimir Kurtanjek 2026-07-21T12:13:56Z 置信度 0.70
• Artificial intelligence: Historical background, types of tools, and applications for a sustainable future
  crossref Ruba Alqahtani, Zehra Fatima, Bassam Tawabini 2025-11-29T05:52:28Z 置信度 0.70
• LLM-Enabled Social Agents
  Large Language Models (LLMs) have transformed agent–agent and human–agent interaction by enabling software, physical, and simulation agents to communicate and deliberate through natural language. Yet fluent language use does not by itself yield socially intell…
  crossref Önder Gürcan, Moharram Challenger 2026-07-02T09:57:10Z 置信度 0.70
• Emotional Intelligence: A Human-Centred AI Perspective
  crossref Mario Espinosa Gámez 2026-01-06T12:17:19Z 置信度 0.70
• Introduction to Artificial Intelligence and Sustainable Development
  This chapter explores the multifaceted intersections between artificial intelligence (AI) and sustainable development, highlighting both opportunities and challenges. It begins by outlining the transformative role of AI in advancing sustainability across envir…
  crossref Medani P. Bhandari 2026-02-17T14:53:29Z 置信度 0.70
• DTPP:An efficient depthwise separable TCN for seismic phase picking
  With the rapid development of artificial intelligence in seismology, various deep learning-based seismic phase picking models have emerged in recent years. However, existing models face challenges in balancing picking accuracy with computational efficiency for…
  crossref Shuai Lv, Yuxiang Peng 2026-01-15T00:21:01Z 置信度 0.70
• Efficient constraint generation for stochastic shortest path problems
  Stochastic Shortest Path problems (SSPs) are traditionally solved by computing each state’s cost-to-go by applying Bellman backups. A Bellman backup updates a state’s cost-to-go by iterating through every applicable action, computing the cost-to-go after apply…
  crossref Johannes Schmalz, Felipe Trevizan 2026-03-10T06:56:02Z 置信度 0.70
• Biomaterials education through artificial intelligence-enabled product-based learning
  crossref Ronald Marquez, Mariangeles Salas, Nelson Barrios, Laura Tolosa 等 2025-12-05T23:40:28Z 置信度 0.70
• Transforming Healthcare with Artificial Intelligence
  crossref 2026-06-22T09:41:42Z 置信度 0.70
• Fundamentals of artificial intelligence in healthcare
  crossref Punam B. Rane, Bhushan R. Rane, Sachin N. Kothawade, Puja P. Chaure 2025-10-25T07:49:39Z 置信度 0.70
• Data-driven classification of global navigation satellite system signals in harsh environments
  crossref Francesco Nebula, Roberto Palumbo 2026-04-25T06:14:27Z 置信度 0.70
• A Policy Analysis of Artificial Intelligence and Sustainability from a Governance Perspective
  crossref Jeffy Johnson, Joel Johnson 2026-06-30T20:06:15Z 置信度 0.70
• Advances in designing a student-centered learning process using cutting-edge methods, tools, and artificial intelligence: an e-learning platform
  crossref Camelia Serban, Andreea Vescan 2019-08-08T12:38:04Z 置信度 0.70
• Contextualization of the Place and Role of Artificial Intelligence in Climate Hazard Management
  Currently we do not have full and sufficient knowledge of climate hazards. These include both climatic conditions linked to long-term human intervention in natural ecosystems and uncontrolled climatic events and catastrophes, which are caused by natural factor…
  crossref Adam Jabłoński, Marek Jabłoński 2026-03-05T16:00:21Z 置信度 0.70
• CVVEFM Layer: An Edge Detection Inspired Layer for Image Segmentation Tasks
  crossref Khalid El Amraoui, Mustapha El Alaoui, Aziz Amari, Hassane Roukhe 等 2025-09-15T21:43:15Z 置信度 0.70
• Artificial Intelligence as Key Enabler for Safeguarding the Marine Resources
  crossref Mehtab Alam, Ihtiram Raza Khan, Farheen Siddiqui, M. Afshar Alam 2024-09-11T18:11:36Z 置信度 0.70
• The Role of Artificial Intelligence in Smart Cities
  Within less than a decade, Artificial Intelligence (AI) has turned urban metropolises into Smart Cities that are more sustainable, efficient, and inclusive. From simple analytics to the deployment of IoT sensors and devices, the journey of AI started in these …
  crossref Radosław Wolniak, Kinga Stecuła, Wieslaw Grebski 2026-01-07T15:45:57Z 置信度 0.70
• Artificial Intelligence, Autonomy, and Criminal Liability in India
  This chapter explores the idea of growing adoption of AI in various industries and its criminal liability. When autonomous AI systems operate at their own discretion, current laws such as those in Bharatiya Nyaya Sanhita suffer from a lack of specificity. We m…
  crossref Gaurav Yadav 2026-06-17T11:53:09Z 置信度 0.70
• Federated Learning: Privacy, Security and Hardware Perspectives
  crossref Taha Yassine Abidi, Iyad Dayoub, Elhadj Doguech, Ihsen Alouani 2024-02-07T08:34:58Z 置信度 0.70
• Cutting-Edge Research in Commerce and Management: A Technology Perspective – Artificial Intelligence and Digital Transformation Perspective
  crossref V. Dheenadhayalan 2025-10-02T13:28:28Z 置信度 0.70
• What LUNA25 Teaches Us about AI for Lung Cancer Screening
  crossref Eduardo Moreno Júdice de Mattos Farina, Gilberto Szarf 2026-08-05T13:48:25Z 置信度 0.70
• Enabling Smart Building Applications on the Edge using Artificial Intelligence
  crossref Raka Singh, Neeraj Pai, Swastik Mahapatra 2022-07-25T16:16:32Z 置信度 0.70
• Optimized task distribution based on task requirements and time delay in edge computing environments
  crossref PeiYun Zhang, AiQing Zhang, Ge Xu 2020-07-13T06:28:41Z 置信度 0.70
• A review of the application prospects of cloud-edge-end collaborative technology in freshwater aquaculture
  crossref Jihao Wang, Xiaochan Wang, Yinyan Shi, Haihui Yang 等 2025-03-04T11:36:26Z 置信度 0.70
• A data-driven distributionally newsvendor problem for edge-cloud collaboration in intelligent manufacturing systems
  crossref Cheng-hu Yang, Xiao-li Su, Peng Wu 2023-08-31T23:10:21Z 置信度 0.70
• Intelligence
  crossref Ermanno Bencivenga 2026-02-10T18:35:25Z 置信度 0.70
• Emotional Intelligence: A Human-Centred AI Perspective
  crossref Mario Espinosa Gámez 2026-05-17T23:13:53Z 置信度 0.70
• Artificial Intelligence in Passive Thermal Management: Current Trends and Future Directions
  crossref Nasim Dehghani, Ahmad Jamekhorshid, Shahriar Osfouri 2026-06-25T19:42:54Z 置信度 0.70
• Exhibiting Contemporary Artworks Co-produced with Artificial Intelligence
  crossref Aluminé Rosso 2026-02-18T07:33:49Z 置信度 0.70
• From appraisal to deployment: A governance framework for large language models in emergency medicine
  Introduction Large language models (LLMs) are increasingly being considered for emergency medicine applications, including triage support, diagnostic assistance, documentation, summarization, discharge communication, and patient-facing guidance. However, valid…
  crossref Ahmet Aykut 2026-07-09T20:41:27Z 置信度 0.70
• ROLE OF ARTİFİCİAL INTELLİGENCE İN ENHANCİNG MOTİVATİON AMONG STUDENTS İN DİGİTAL CLASSROOMS
  The dynamics of student involvement have been completely transformed in recent years by the use of artificial intelligence (AI) in education, especially in online classrooms. The present analysis looks at how AI-powered tools can improve student motivation and…
  crossref Kritika Arora, Gurpreet Kaur 2026-05-12T19:54:07Z 置信度 0.70
• Artificial intelligence in heat and mass transfer in chemical engineering processes
  crossref Temima Ajanović, Farooq Sher, Harun Hrnjić, Muddasar Safdar 等 2025-10-17T11:16:27Z 置信度 0.70
• Edge‐to‐Cloud Synergy
  crossref Cynthia Jayapal, K. Ulagapriya, K.V.M. Shree, A. Poonguzhali 2026-05-29T21:30:51Z 置信度 0.70
• Cyborg Intellectuals
  crossref Jordy Satria Widodo, Henny Suharyati 2026-05-01T21:29:30Z 置信度 0.70
• Artificial Intelligence and IoT Frameworks for Climate Change Monitoring and Environmental Sustainability
  The increasing impacts of climate change have necessitated the development of more accurate and dynamic systems for climate monitoring, prediction, and adaptation. This chapter explores the integration of Artificial Intelligence (AI) and the Internet of Things…
  crossref Taru Tevatia, Vanathi M 2026-04-11T12:38:36Z 置信度 0.70
• Neuromorphic Spiking Intelligence for Ultra-Low-Power Edge AI and Cognitive Robotics
  Abstract: Neuromorphic spiking intelligence offers a rigorous pathway for building ultra-low-power edge AI and cognitive robotics systems that perceive, infer and act through sparse event-driven computation. This manuscript develops a publication-grade academi…
  crossref Murali Krishna Pasupuleti 2026-05-26T11:35:08Z 置信度 0.70
• Application of machine learning and artificial intelligence methods in food safety assessment
  crossref Zhoumeng Lin, Kun Mi, Xue Wu 2025-09-23T11:38:32Z 置信度 0.70
• Self-supervised social attentive deep reinforcement learning-based group recommender system
  crossref S Krishnamoorthi, Gopal K. Shyam 2025-12-10T01:39:43Z 置信度 0.70
• Seamless monitoring of stress levels leveraging a foundational model for time sequences
  Background Accurate and continuous monitoring of physiological stress is crucial, especially for patients with neurodegenerative diseases. Traditional monitoring methods, such as Electrocardiogram (ECG), are often invasive and limited in duration, while data f…
  crossref Davide Gabrielli, Bardh Prenkaj, Paola Velardi 2025-12-25T00:12:18Z 置信度 0.70
• Revolutionizing therapeutic possibilities for hepatocellular carcinoma by advanced bioinformatics and artificial intelligence-driven drug repurposing
  crossref Rajat Nath, Anupam Das Talukdar, A. Dinakara Rao 2026-03-27T09:59:39Z 置信度 0.70
• Not for people like me: How frontier AI models redirect skeptical rural school staff
  crossref Zachary Rossmiller 2026-08-10T23:43:23Z 置信度 0.70
• Artificial intelligence in multi-omics integration for precision drug design
  crossref Nagmi Bano, Saima Firdaus, Rafat Parveen, Shaban Ahmad 等 2026-03-14T01:24:49Z 置信度 0.70
• Multi-granularity alignment and cross-modal reasoning for fake news video explanation
  Fake news video explanation generation aims to provide accurate and insightful explanations through in-depth analysis of news video content. However, existing methods typically align video context with overall descriptions and generate explanations via multi-m…
  crossref Chao Cheng, Weiwei Jiang 2026-02-11T03:39:56Z 置信度 0.70
• Designing an Academic Artificial Intelligence Entrepreneurship Ecosystem: A Mixed-Method Fuzzy Delphi Approach
  crossref Najmeh Taheri, Abdolmajid Mosleh 2026-06-25T19:42:54Z 置信度 0.70
• The Fundamental Quantum Field of Consciousness as a Hypothetical Basis for Studying Human and Artificial Intelligence
  The paper proposes a new interdisciplinary approach to the study of the nature of consciousness and intelligence. The hypothesis of the existence of a fundamental quantum field of consciousness as a special form of physical reality capable of interacting with …
  crossref Shevchenko A 2026-07-02T14:50:53Z 置信度 0.70
• BeliefNet: A Neurosymbolic Model for Context-Based Traversability Predictions in Complex Environments
  Knowing how to traverse complex unstructured environments is a difficult challenge, that humans achieve through logic, reasoning, and experience; yet some of the most beneficial use cases for autonomous systems require them to operate in complex environments w…
  crossref Tom Scott, Argyrios Zolotas, Yang Xing 2026-04-20T13:35:37Z 置信度 0.70
• Probabilistic Artificial Intelligence for Reliable Decision Making in Edge–Cloud Intelligent Systems
  crossref 2025-11-24T05:53:19Z 置信度 0.70
• Low power on-line machine monitoring at the edge
  crossref Bert Boons, Marian Verhelst, Peter Karsmakers 2021-06-29T20:27:46Z 置信度 0.70
• Forest Fire Detection for Edge Devices
  crossref Teo Khai Xian, Hermawan Nugroho 2022-11-09T20:44:15Z 置信度 0.70
• Trust discovery and information retrieval using artificial intelligence tools from multiple conflicting sources of web cloud computing and e-commerce users
  crossref P. Solainayagi, G.O. Jijina, K. Sujatha, N. Kanimozhi 等 2022-04-29T09:34:50Z 置信度 0.70
• Artificial Intelligence: A Mediator in Recruitment Marketing
  Artificial Intelligence (AI) has emerged as a formidable catalyst in redefining recruitment marketing, reconfiguring conventional talent acquisition practices into data-driven, technologically mediated processes. By leveraging algorithms, predictive analytics,…
  crossref Jyoti Thakur, Ruchi Sharma 2026-04-13T10:56:30Z 置信度 0.70
• Can Artificial Intelligence Facilitate Faster Development Assessment? The Case of an Early Adopter Programme
  This chapter examines the early adoption of artificial intelligence in the development assessment process within urban and regional planning in New South Wales, Australia. It examines the potential of existing AI products, the human labour required to assemble…
  crossref Wayne Williamson 2026-04-01T17:58:42Z 置信度 0.70
• Gemini or ChatGPT? Efficiency, Performance, and Adaptability of Cutting-Edge Generative Artificial Intelligence (AI) in Finance and Accounting
  This research paper explores a comparative analysis of Gemini and ChatGPT concerning their effectiveness and performance in finance and accounting tasks. Various factors influencing efficiency in large language models (LLMs), such as model size, architecture, …
  crossref Nitin Rane, Saurabh Choudhary, Jayesh Rane 2024-02-21T07:22:10Z 置信度 0.70
• Artificial Intelligence in Neurosurgery
  crossref Sumedha Rai, Sean Neifert, Zoran M. Budimlija, Aleksandar Beric 等 2025-11-29T00:05:51Z 置信度 0.70
• Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
  Numeric values associated to edges of a knowledge graph have been used to represent uncertainty, edge importance, and even out-of-band knowledge in a growing number of scenarios, ranging from genetic data to social networks. Nevertheless, traditional knowledge…
  crossref Sumit Pai, Luca Costabello 2021-08-11T11:00:49Z 置信度 0.70
• Robotic intelligence for healthcare system
  crossref Anirban Patra, Nilanjan Mukhopadhyay 2025-10-17T11:06:31Z 置信度 0.70
• A Multi-class Obesity Risk Prediction Using Machine Learning and Explainable Artificial Intelligence
  Because of the intricate relationships between dietary practices, physical characteristics, and lifestyle, weight-related health issues have grown to be a global concern. The shortcomings of current machine learning (ML) techniques include inefficient feature …
  crossref Tarequl Hasan Sakib, Mahfuzulhoq Chowdhury 2026-02-25T06:48:33Z 置信度 0.70
• The Authors' Original Concept of Climate Hazard Management by Means of Artificial Intelligence
  The aim of this chapter is to present the authors’ original concept of climate hazard management by means of artificial intelligence. The scope of the chapter covers issues related to the artificial intelligence model in climate hazard management and is based …
  crossref Adam Jabłoński, Marek Jabłoński 2026-03-05T16:00:21Z 置信度 0.70
• The Standards for the Development and Adoption of Artificial Intelligence Technologies
  crossref Michele Di Salvo 2026-04-15T15:44:33Z 置信度 0.70
• A comparative overview of artificial intelligence for medical data processing
  crossref Vandana, Chetna Sharma 2026-07-16T14:36:49Z 置信度 0.70
• Artificial Intelligence in European social security administration: Regulatory frameworks and implications
  This chapter analyses how Artificial Intelligence (AI) is being integrated into European social security administration, with a specific focus on the normative EU framework shaping such integration. The chapter starts by examining the key forces driving this c…
  crossref Alberto Barrio Fernández 2026-06-02T17:11:11Z 置信度 0.70
• ARTIFICIAL INTELLIGENCE USAGE IN THE POSTNATAL PERIOD
  crossref ŞENGÜL YAMAN SÖZBİR 2026-03-30T14:47:58Z 置信度 0.70
• Skin Lesion Classification Using Focal Modulation Networks.
  europepmc 2025 置信度 0.80
• Peering Inside the Black Box: Explainable AI to Interpret Advanced Computer Vision Fungal Pathogen Prediction.
  europepmc 2026 置信度 0.80