explainable ai

Future Directions Towards Trustworthy Autonomous and Self-Explainable Cyber Defense Systems

Cybersecurity is the core where protection is provided to digital resources like servers, Data centers and Networks. Adoption of Artificial Intelligence (AI) driven cybersecurity strengthens the digital ecosystem. Web Sites and Social media are engines in the modern digital world where organizations, customers and user...

Neuro-Symbolic Foundation Models for Explainable Physical AI

Counterexamples to Bapat's q-permanent monotonicity conjecture

Archival deposit of already public mathematical research by Yongxian Zhang. Original source bytes and release attachments are preserved, with exact Git and SHA-256 provenance. No external human peer review or worldwide priority is asserted. Existing licenses are preserved; previously unlicensed material remains all rig...

TACTICIAN - AI‑Driven Knowledge Extraction for ESA Space Science Missions

Introduction: ESA’s missions produce vast scientific data and thousands of publications annually. Identifying those that truly analyze mission data is essential but manual review is unfeasible. TACTICIAN uses NLP, ML, DL, and LLMs to automate extraction and classification of mission-related knowledge. Methodology and R...

The Internet Solved Communication. It Never Solved Authority

File updated - For Research Purposes : How to Review this Package / Article ? Download the complete ZIP package ( Complete Technical Disclosure ) → UNZIP→ upload all extracted files into a dedicated AI Project/Workspace (not an ordinary chat) → read 00_READ_FIRST_AI_INSTRUCTIONS.md → use 01_AI_ANALYSIS_PROMPT.txt as a...

Foundations of Novel: For EFL University Students

Foundations of Novel: For EFL University Students introduces the study of novels through close reading, narrative analysis, and evidence-based interpretation. It is designed for international Year 2 or Year 3 undergraduate EFL students who have completed an introduction to literature. Explanations provide an approximat...

Decentralized Education Ecosystems Integrating Blockchain, AI, and the Metaverse for Next-Generation Learning

This chapter examines decentralized education ecosystems by integrating blockchain, artificial intelligence, and the metaverse for next-generation learning. It explains how blockchain can provide trust, secure credentials, learner-owned records, and verifiable micro-certifications, while AI supports personalization, ad...

Determinants of artificial intelligence self-efficacy in physiotherapists: The role of attitudes, AI anxiety and sociodemographic factors

Determinants of artificial intelligence self-efficacy in physiotherapists: The role of attitudes, AI anxiety and sociodemographic factorsABSTRACTPurpose: This study examined the role of attitudes toward artificial intelligence (AI), AI-related anxiety, and sociodemographic factors in physiotherapists’ AI self-efficacy....

An explainable AI-based predictive maintenance framework for transformer lifespan assessment and load forecasting in high-voltage power systems

Abstract Accurate load forecasting and reliable transformer lifespan prediction are essential for ensuring the stability and efficiency of modern high-voltage power systems. However, existing approaches often rely on single-model architectures that inadequately capture temporal dependencies and nonlinear interactions,...

Deep Learning and AI for Human Activity Recognition

Human Activity Recognition (HAR) is a key AI field that uses sensor, video, wearable, and environmental data to identify and predict human activities. Advances in deep learning, including CNNs, RNNs, LSTMs, Transformers, and hybrid models, have improved recognition accuracy through automatic feature extraction. The gro...

Phishing URL Classification Using Lexical Analysis and Machine Learning with an AI-Based Detection Stage

Phishing links imitate trusted brands and push users to hand over passwords, card numbers, or other private data. This paper proposes a lightweight, explainable pipeline that decides whether a URL is phishing or legitimate by reading only the address text, with no visit to the destination page. Measurable properties of...

Explainable AI studies for object detection using transformer-based vision models

Historically, convolutional methods such as YOLO, SSD, and R-CNN were the driving force behind object detection and localization research. In recent years, however, transformer-based approaches like DETR have fundamentally shifted the paradigm for model development. Understanding how objectness is learned can inform ho...