This paper aims to provide a foundational resource to guide future research on reliable, explainable, and practical IoT intrusion detection systems by identifying the problems addressed in current research and highlighting the limitations in the literature.
Murat Varol, Aykut Karakaya· Italian National Conference...· 0 citations
Description This repository contains the complete, reproducible PyTorch source code for the study "Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization". The codebase implements an end-to-end deep learning framework designed to eliminate...
Yunus Emre Kıymaz, Şakir Taşdemir, Burak Gezer et al.· Zenodo (CERN European Organi...· 0 citations
Slides from an invited talk given at the international conference "The Labyrinth of (Social) Rights: Linguistic, Systematic and Other Barriers to Access to Legal Protection" (ARIS project J5-50169), Faculty of Law, University of Ljubljana, 11 September 2026, panel 2 "AI and Legal Text Understanding". No conference proc...
Andrej Seršen· Zenodo (CERN European Organi...· 0 citations
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Disclosure laws aim to empower individuals to make better decisions, yet in practice they often overwhelm readers with excessive and inaccessible information. Disclosure Laws in the Digital Era explains why traditional regulatory approaches fall short and how technological advances offer new opportunities to evaluate a...
Uri Benoliel· Cambridge University Press e...· 0 citations
Slides from an invited talk given at the international conference "The Labyrinth of (Social) Rights: Linguistic, Systematic and Other Barriers to Access to Legal Protection" (ARIS project J5-50169), Faculty of Law, University of Ljubljana, 11 September 2026, panel 2 "AI and Legal Text Understanding". No conference proc...
Andrej Seršen· Zenodo (CERN European Organi...· 0 citations
The integration of artificial intelligence (AI) and deep learning with the biomedical research marks a critical inflection point, shifting the paradigm from addressing symptoms to predicting and acting at the molecular level. In many diagnostic models, the chain reaction triggered by a chronic infection is often overlo...
Rohit Shamsundar Tawade, Abhijeet P. Goad, Maryston Gregory Sequeira, Dr. Anupam Kumar· Zenodo (CERN European Organi...· 0 citations
The continuous evolution of deep learning has significantly expanded the capabilities of artificial intelligence, enabling intelligent systems to solve increasingly complex problems across healthcare, computer vision, natural language processing, cybersecurity, finance, autonomous systems, and smart environments.Beginn...
K. Ramalakshmi, S. Prema, M. Ajithaveni et al.· IJARCCE· 0 citations
For analytical clarity, the contributions can be organized into four interrelated thematic areas: Smart Forecasting Beyond Finance; Deep Learning and Hybrid Models for Financial Forecasting; Large Language Models for Next-Generation Forecasting; and Perspectives on Intelligent Forecasting. Together, these themes reflec...
L. Barolli, Antonino Ferraro, Antonio Galli et al.· Frontiers in Big Data· 0 citations
Unit IV – AI in Research, Generative AI and Prompt Engineering is an Open Educational Resource (OER) presentation developed for the undergraduate AI Fundamentals course. This presentation introduces the use of Artificial Intelligence in experimentation and multidisciplinary research, followed by the fundamentals of Gen...
Venkata Krishnaveni Chennuru· Zenodo (CERN European Organi...· 0 citations
Artificial Intelligence (AI) has become a foundational capability for modern intelligent enterprises,transforming business operations, customer engagement, decision-making, supply chains, cybersecurity, enterprise architecture, and digital innovation. Organizations increasingly deploy Generative AI, Large Language Mode...
Sanjeeve Kumar Gajadi· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22693218. Does the introduction explain the objective of the research presented in the preprint? Yes The introduction states its objective directly rather than making the...
Mayur Jain· Zenodo (CERN European Organi...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
