explainable ai

CompSphere AI: An AI-Powered Compliance Intelligence Platform for Chartered Accountants

CompSphere AI: An AI-Powered Compliance Intelligence Platform for Chartered Accountants This research paper presents a structured literature review of artificial intelligence technologies for improving compliance, auditing, and financial document processing workflows performed by Chartered Accountants (CAs). The study...

Research #4: Exact Phase-Adversarial Finite-Alphabet Hierarchies — All-User 16-QAM, Global Certificates, and Algorithms

Research #4 consolidates exact results for finite-alphabet superposition under independently adversarial phases. The main manuscript proves the global optimum for every finite number K of square 16-QAM users under unit squared-amplitude normalization: D_K* = delta / sqrt(sum from h=0 to K-1 of (1+3 sqrt(2))^(2h)), wher...

Fault recognition approach applied to a rotating machine supported by hydrodynamic bearings using explainable artificial intelligence

A fault diagnosis technique based on vibration analysis and explainable AI models is presented, revealing that features such as the second harmonic of the rotational speed and skewness play a critical role in distinguishing between similar fault patterns.

Explainable AI-based deep learning architectures for hydrogen prediction in biomass syngas and photocatalysis processes: Towards a sustainable and efficient energy economy

This study, focusing on sustainable energy production and particularly the hydrogen (H 2 ) economy, presents an advanced artificial intelligence (AI) framework for accurately predicting H 2 production from sucrose photocatalysis catalyzed by LaFeO 3 (GLFO) and the H 2 concentration in syngas derived from biomass conver...

Research #4: Exact Phase-Adversarial Finite-Alphabet Hierarchies — All-User 16-QAM, Global Certificates, and Algorithms

Research #4 consolidates exact results for finite-alphabet superposition under independently adversarial phases. The main manuscript proves the global optimum for every finite number K of square 16-QAM users under unit squared-amplitude normalization: D_K* = delta / sqrt(sum from h=0 to K-1 of (1+3 sqrt(2))^(2h)), wher...

CompSphere AI: An AI-Powered Compliance Intelligence Platform for Chartered Accountants

CompSphere AI: An AI-Powered Compliance Intelligence Platform for Chartered Accountants This research paper presents a structured literature review of artificial intelligence technologies for improving compliance, auditing, and financial document processing workflows performed by Chartered Accountants (CAs). The study...

ChatGPT, Achievement Motivation, and Problem-Solving: Evidence from Thai and Cambodian Undergraduates

Background. The rapid global adoption of ChatGPT has raised growing interest in its role in supporting student learning, yet the effectiveness of generative AI tools in enhancing higher-order cognitive skills such as problem-solving may depend on individual learner characteristics that remain underexplored. Purpose. Th...

Melanoma Prognostication Using AI‐Guided Histopathology

This review examines how computational pathology and convolutional neural networks (CNNs) can improve histopathologic diagnosis and risk stratification of melanoma, evaluate current image-based deep learning (DL) approaches, and outline a path toward explainable, multimodal prognostic tools.

Bathtubs, Boundaries, and Sandboxes: AI Regulatory Learning Under Legal Uncertainty

It is argued that legal uncertainty cannot be fully reduced ex ante and that, within reasonable bounds, it is also necessary for regulatory learning because it creates the space in which boundary negotiation over socio-technical meaning can occur.

AI-Assisted Integration of Midgut Digestive Enzymes and Gut Microbiota in Samia ricini: A Predictive Framework for Sustainable Eri-Silk Production

Abstract The eri silkworm, Samia ricini (Lepidoptera: Saturniidae), is an economically important polyphagous silk-producing insect whose productivity is influenced by host-plant quality, digestive physiology, larval development and associated gut microorganisms. The midgut represents a major interface between dietary n...

AI-Assisted Integration of Midgut Digestive Enzymes and Gut Microbiota in Samia ricini: A Predictive Framework for Sustainable Eri-Silk Production

Abstract The eri silkworm, Samia ricini (Lepidoptera: Saturniidae), is an economically important polyphagous silk-producing insect whose productivity is influenced by host-plant quality, digestive physiology, larval development and associated gut microorganisms. The midgut represents a major interface between dietary n...

Explainable AI in Cybersecurity