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explainable ai

2,492 papers

#explainable ai Open access Aug 2026

Explainable Artificial Intelligence for Enhancing Intrusion Detection Systems: A Comprehensive Framework for Transparent Network Security

This research presents a comprehensive framework for integrating Explainable Artificial Intelligence (XAI) into Intrusion Detection Systems (IDS) to address the critical challenge of AI model opacity in cybersecurity. Traditional AI-based IDS models function as "black boxes," limiting trust, accountability, and practic...

Muhammad Haris Khan · 0 citations
#explainable ai Review Open access Aug 2026

A systematic review of machine learning and explainable artificial intelligence for electrocardiogram based cardiovascular disease prediction

This review critically analyzes recent ECG-based ML/DL models for CVD prediction, with particular attention to model performance, dataset characteristics, preprocessing strategies, and the integration of explainable artificial intelligence (XAI).

Sabit Ahamed Preanto, Md. Hasan Imam Bijoy, Tapon Paul et al. · 0 citations
#explainable ai Open access Aug 2026

Advancing Decoding Methods for Enhanced AI Model Performance and Interpretability

The rapid advancement of artificial intelligence, particularly in large language models, has brought significant challenges in decoding methods that balance performance with interpretability. This paper presents a comprehensive analysis of advanced decoding techniques that enhance both model capabilities and explainabi...

Zen Revista, 10 IA · 0 citations
#explainable ai Open access Aug 2026

##基于符号推理的深度学习模型

This paper proposes a novel deep learning model incorporating symbolic reasoning for enhanced visual understanding. The core idea is to bridge the gap between deep learning's ability to extract intricate visual features and symbolic reasoning's capacity for logical deduction. The model consists of two key components: a...

Jincheng Zhang · 0 citations
#explainable ai Open access Aug 2026

Quantum-Inspired Deep Learning for Automated Software Defect Prediction: A Hybrid QLSTM-GCN Approach

The growing complexity of contemporary software systems has intensified the need for intelligent and dependable techniques capable of identifying defects early. Conventional machine learning models often face limitations when handling high-dimensional code metrics, class imbalance, and limited interpretability, thereby...

Yousef Sanjalawe, Salam Al-E’mari, F.M.A. Salam et al. · 0 citations
#explainable ai Open access Aug 2026

Information Noise and Managerial Decision Quality in Project-Based Operations: An Integrative Review

Managers working in project-based and operational environments increasingly make decisions using large volumes of heterogeneous information. Although access to information is generally expected to improve decision quality, research across operations management, information systems, accounting, organizational behavior,...

Sergey Kutukoff · 0 citations
#explainable ai Open access Aug 2026

Limnology and the Living Systems of Inland Waters

Article Description REVIEW ARTICLELimnology and the Living Systems of Inland Waters A Review of Ecological Processes, Human Pressures, and Pathways for ProtectionBy: Gamal E.O. Elhag-Idris CMOS Accredited Consultant | MSc (AI), BSc, C.Chem, MCICFreshwater is more than a resource: it is part of a living and interconnect...

Gamal E.O. Elhag-Idris · 0 citations
#explainable ai Open access Aug 2026

Algorithmic Opacity, Organizational Justice, and Employee Behavioral Intentions: A Multilevel Socio-Technical Framework for Brazilian Organizations.

The use of artificial intelligence in human resource management (AI-HRM) is expanding across recruitment, performance management, workforce analytics, and employee retention. Although AI-HRM may improve processing speed and standardization, opaque automated systems can make it difficult for employees to understand, que...

Lovelyn Omoighe · 0 citations
#explainable ai Open access Aug 2026

_THE ORPHAN UNIVERSE THEORY - A Descending Detached Chain of Creation_

---_THE ORPHAN UNIVERSE THEORY - A Descending Detached Chain of Creation__By Subhrendu Chakraborty — 2026__ORCID: 0009-0000-9610-0118__Independent Researcher, Kolkata, India_ _THE QUESTION:_We explain humans by parents, parents by their parents, back to fish, to bacteria. But where does this chain stop for the universe...

Subhrendu Chakraborty · 0 citations
#explainable ai Review Open access Aug 2026

The Role of Artificial Intelligence in Higher Education Research: A Cross-Sectional Study of Adoption Trends and Productivity Impact

With the growing importance of Artificial Intelligence (AI) in academic life, it is increasingly necessary to understand the impact of this technology on research activities, yet the quantitative relationships between the use of these tools and research productivity in university settings have not been sufficiently qua...

Asma Atta, Hafiz Kosar · 0 citations
#explainable ai Open access Aug 2026

Urban EcoScore index-based assessment of biophilic potential and habitat-structural condition of the Kolkata metropolitan area

Urban sustainability assessment is crucial due to rapid urbanisation and environmental stress, particularly in the Kolkata Metropolitan Area (KMA), where land-use changes contribute to ecological degradation. This research develops and assesses the Urban EcoScore Index (UESI) as a method for evaluating biophilic potent...

Md Saharik Joy, Priyanka Jha, Pawan Kumar Yadav et al. · 0 citations
#explainable ai Dataset Open access Aug 2026

Exact certificates for r(n) = e(n), n = 9–21: regular triangle unions

Version 6 (Augustus 2026) adds r(21) = e(21) = 231, closing the hardest rung to date after a five-day resistance documented in CHANGELOG_v6.md; the pattern now holds for thirteen consecutive values. -- Version 5 (August 2026) adds r(19) = 207 and r(20) = 220, extending r(n) = e(n) = U(n) to twelve consecutive values; t...

Reynout Vos · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

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 Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

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