Results 161 to 170 of about 56,159 (288)

Machine Learning XAI for Early Loan Default Prediction [PDF]

Leticia Monje, R.A. Carrasco, Manuel Sánchez-Montañés   +2 more
openalex   +1 more source

Dynamic Memory‐Augmented Whale Optimization Algorithm (DMA‐WOA) as Feature Descriptor for Polycystic Ovary Syndrome Detection

Applied AI Letters, Volume 7, Issue 1, February 2026.
Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah, Leonard Mensah Boante, Solomon Mensah, Ebenezer Owusu, Justice Kwame Appati   +4 more
wiley   +1 more source

Performance Analysis of Explainable Deep Learning-Based Intrusion Detection Systems for IoT Networks: A Systematic Review. [PDF]

Sensors (Basel)
Ogunseyi TB, Thiyagarajan G, He H, Bist V, Du Z.   +4 more
europepmc   +1 more source

Review of XAI methods for application in heavy industry

Wojciech Jędrysik, Piotr Hajder, Łukasz Rauch   +2 more
openalex   +1 more source

Unlocking IIoT Potential: A Systematic Review of AI Applications, Adoption Drivers, and Implementation Barriers

Applied AI Letters, Volume 7, Issue 1, February 2026.
Unlocking IIoT Potential with AI. ABSTRACT Artificial Intelligence (AI) is playing an increasingly vital role in the Industrial Internet of Things (IIoT), enabling predictive analytics, real‐time monitoring, and autonomous operations across industries such as manufacturing, logistics, and energy.
Tinashe Magara, Mampilo Phahlane
wiley   +1 more source

Use of Automation Technologies and Data Mining in Speech Recognition for Autism

Brain and Behavior, Volume 16, Issue 2, February 2026.
Pipeline analyzes clinical and naturalistic speech using LENA, wav2vec 2.0, and foundation‐model ASR (Whisper) to enable scalable ASD detection and severity estimation. Future work integrates benchmarking, privacy‐preserving collaboration (federated learning), and explainable, edge‐ready AI for clinically credible assessment and longitudinal monitoring.
Rongjie Mao, Yuncheng Zhu
wiley   +1 more source

GRNIX: A Graph Neural Network Framework for Explainable Gene Regulatory Network Inference in Autoimmune Diseases Using XAI [PDF]

Mohamed Manaï
openalex   +1 more source

Early autism detection: a review of emerging technologies, biomarkers, and explainable AI approaches. [PDF]

Mol Brain
Agrawal R, Agrawal R.
europepmc   +1 more source

Functional and Clinical: An Explainable Deep Learning Model for Multimodal Alzheimer's Disease Classification

Brain and Behavior, Volume 16, Issue 2, February 2026.
A multimodal Alzheimer's classification pipeline that combines clinical tests with fMRI networks to output individual‐level predictions and variable importance metrics. ABSTRACT Purpose Functional magnetic resonance imaging (fMRI) and deep learning models can classify Alzheimer's disease (AD) with high accuracy.
Samuel L. Warren, Ahmed A. Moustafa
wiley   +1 more source

Explainable artificial intelligence for molecular design in pharmaceutical research. [PDF]

Chem Sci
Lamens A, Bajorath J.
europepmc   +1 more source