I/F
Leveraging Machine Learning Models to Improve Smart Contract Security: A Survey of Vulnerabilities and Detection Methods. A Comprehensive Survey of Transformers in Text Recognition: Techniques, Challenges, and Future Directions. A Survey of Learned Indexes for the Multi-dimensional Space. The Role of the Internet of Things (IoT) in Achieving the United Nations (UN) Sustainable Development Goals (SDGs) - A Systematic Review. Future UAV/Drone Systems for Intelligent Active Surveillance and Monitoring. Build Optimization: A Systematic Literature Review. Blockchain in the Digital Twin Context: A Comprehensive Survey A Comprehensive Survey on Transformer-Based Machine Translation: Identifying Research Gaps and Solutions for Large Language Models Graph Neural Networks for Integrated Circuit Design, Reliability, and Security: Survey and Tool Software Fairness: An Analysis and Survey Deep Learning Based Key Information Extraction from Business Documents: Systematic Literature Review Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas. Unveiling the Covert Vulnerabilities in Multi-Factor Authentication Protocols: A Systematic Review and Security Analysis. Trojan Attacks and Countermeasures on Deep Neural Networks from Life-Cycle Perspective: A Review Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art Explainable AI for Medical Data: Current Methods, Limitations, and Future Directions Regulating Information and Network Security: Review and Challenges Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain. Private and Secure Distributed Deep Learning: A Survey. Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities. Approaches to Conflict-free Replicated Data Types. MITRE ATT&CK: State of the Art and Way Forward. Evaluation Methodologies in Software Protection Research A Review on Blockchain Technology, Current Challenges, and AI-Driven Solutions Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges Modality Deep-learning Frameworks for Fake News Detection on Social Networks: A Systematic Literature Review Early-Exit Deep Neural Network - A Comprehensive Survey A Survey on Security of UAV Swarm Networks: Attacks and Countermeasures Backdoor Attacks against Voice Recognition Systems: A Survey Artificial Intelligence to Support the Training and Assessment of Professionals: A Systematic Literature Review Knowledge-based Cyber Physical Security at Smart Home: A Review A Systematic Literature Review on Multi-Robot Task Allocation Mathematical Information Retrieval: A Review A Comprehensive Survey of Studies on Predicting Anatomical Therapeutic Chemical Classes of Drugs Cold Start Latency in Serverless Computing: A Systematic Review, Taxonomy, and Future Directions A Systematic Mapping Study on Quantum and Quantum-inspired Algorithms in Operations Research Green IN Artificial Intelligence from a Software Perspective: State-of-the-Art and Green Decalogue Security and Reliability of Internet of Underwater Things: Architecture, Challenges, and Opportunities The Role of Multi-Agents in Digital Twin Implementation: Short Survey The Gap Between Trustworthy AI Research and Trustworthy Software Research: A Tertiary Study Single-Document Abstractive Text Summarization: A Systematic Literature Review On Efficient Training of Large-Scale Deep Learning Models A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning A Comprehensive Survey on Rare Event Prediction Deep Learning Aided Intelligent Reflective Surfaces for 6G: A Survey Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality Evaluation Knowledge Editing for Large Language Models: A Survey