Results 51 to 60 of about 24,617 (284)
Explainable Artificial Intelligence (XAI): An Engineering Perspective
, 2021 The remarkable advancements in Deep Learning (DL) algorithms have fueled enthusiasm for using Artificial Intelligence (AI) technologies in almost every domain; however, the opaqueness of these algorithms put a question mark on their applications in safety-critical systems.
Hussain, F., Hussain, R., Hossain, E.
openaire +2 more sources
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data [PDF]
, 2018 The current gold standard for human activity recognition (HAR) is based on the use of cameras. However, the poor scalability of camera systems renders them impractical in pursuit of the goal of wider adoption of HAR in mobile computing contexts ...
Brophy, Eoin +4 more
core +1 more source
Advanced Science, EarlyView.This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu +9 more
wiley +1 more source
XAITK: The explainable AI toolkit
Applied AI Letters, 2021 Recent advances in artificial intelligence (AI), driven mainly by deep neural networks, have yielded remarkable progress in fields, such as computer vision, natural language processing, and reinforcement learning.
Brian Hu +5 more
doaj +1 more source
, 2019 In today's legal environment, lawsuits and regulatory investigations require companies to embark upon increasingly intensive data-focused engagements to identify, collect and analyze large quantities of data.
Chhatwal, Rishi +5 more
core +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Explainable artificial intelligence systems for predicting mental health problems in autistics
Alexandria Engineering JournalThe recognition of mental disorder symptoms is crucial for timely management and reduction of recurring symptoms and disabilities. The ability to predict and explain mental health challenges can enable earlier intervention and more effective ...
El-Sayed Atlam +7 more
doaj +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
eXplainable Artificial Intelligence in Process Engineering: Promises, Facts, and Current Limitations
Applied System InnovationArtificial Intelligence (AI) has been swiftly incorporated into the industry to become a part of both customer services and manufacturing operations.
Luigi Piero Di Bonito +4 more
doaj +1 more source
Explainable Artificial Intelligence in Medical Imaging for Tumor and Alzheimer's Diagnosis :A Review [PDF]
JES: Journal of Engineering SciencesRecently, incorporating artificial intelligence (AI) into healthcare has shown considerable promise. Despite this progress, the limited interpretability of AI systems presents challenges for their implementation in clinical environments.
Nourhan Ibrahim +3 more
doaj +1 more source