Results 211 to 220 of about 9,914 (309)
Energy Science &Engineering, EarlyView.General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda +3 more
wiley +1 more source
Automated Ergonomic Risk Assessment of Wheelchair Users During Cabinet Interaction Using Vision-Based 3D Pose Estimation. [PDF]
Sensors (Basel)Xu Y, Yang Z, Sun T, Ning J.
europepmc +1 more source
Mapping the Fuzzy Semantic Model into Fuzzy Object Relational database Model
, 2015 Jandoubi, Sabrine +3 more
core
Energy Science &Engineering, EarlyView.This study introduces bipolar q‐fractional fuzzy sets and new aggregation operators to support renewable energy selection under uncertainty. The proposed decision‐making framework effectively integrates positive and negative evaluations, ensuring consistent ranking and robust performance, as demonstrated through practical analysis and comparative ...
Sagvan Y. Musa +3 more
wiley +1 more source
DML-LLM Hybrid Architecture for Fault Detection and Diagnosis in Sensor-Rich Industrial Systems. [PDF]
Sensors (Basel)Hu YS, Marandi S, Modarres M.
europepmc +1 more source
Energy Science &Engineering, EarlyView.We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine +5 more
wiley +1 more source
A Method for Industrial Smoke Video Semantic Segmentation Using DeffNet with Inter-Frame Adaptive Variable Step Size Based on Fuzzy Control. [PDF]
Sensors (Basel)Yang J, Liu H.
europepmc +1 more source
Energy Science &Engineering, EarlyView.This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
wiley +1 more source
Artificial Intelligence Algorithm Based on Genetics to Predict Responses to Interferon-Beta Treatment in Multiple Sclerosis Patients. [PDF]
Bioengineering (Basel)Ponce de León-Sánchez ER +8 more
europepmc +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
Energy Science &Engineering, EarlyView.The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source