Explainability and Transparency of Classifiers for Air-Handling Unit Faults Using Explainable Artificial Intelligence (XAI). [PDF]
Sensors (Basel), 2022 Meas M +7 more
europepmc +1 more source
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
Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique. [PDF]
Foods, 2022 Adak A, Pradhan B, Shukla N, Alamri A.
europepmc +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
Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research. [PDF]
Eur Child Adolesc Psychiatry, 2021 Roessner V +5 more
europepmc +1 more source
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 (XAI) in medical imaging: a systematic review of techniques, applications, and challenges. [PDF]
BMC Med ImagingAhmed F +5 more
europepmc +1 more source
Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures. [PDF]
World J Urol, 2022 O'Sullivan S +6 more
europepmc +1 more source
Explainable Artificial Intelligence (XAI) for Air Quality Assessment
Accurate air quality analysis is essential for comprehending the reasons for and consequences of air pollution, which is a serious environmental concern. Understanding the underlying causes contributing to pollution levels is challenging when using traditional methodologies for air quality analysis since they frequently lack transparency and ...
Chakraborty, Sayan +2 more
openaire +1 more source
Cancer Innovation, Volume 5, Issue 1, February 2026.Artificial intelligence and big data platforms are transforming oncology clinical practice. This review proposes a physician‐centered framework to integrate AI tools with real‐world data, supporting more precise diagnosis, individualized treatment, and improved patient outcomes.
Binliang Liu +7 more
wiley +1 more source