explainable ai

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

Rotating machines are widely employed in modern industry. The growing demand for efficiency and operational durability drives the development of intelligent rotors equipped with Artificial Intelligence (AI) methods that promote the extension of equipment lifespan through proactive maintenance actions and reducing costs...

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.

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

Explainable AI in Cybersecurity

Artificial Intelligence For Climate-Resilient Plants: Emerging AI Approaches For Predicting Drought, Salinity And Temperature Stress.

Abstract Climate change is creating serious problems for agriculture by increasing drought, soil salinity, and extreme temperatures. These stresses affect plant growth, development, crop yield, and global food security. Traditional methods used to study plant responses to stress are often time-consuming, labour-intensi...