A hybrid approach leveraging meta-heuristic and ensemble learning for time-sensitive prediction of pollutant concentrations. [PDF]
Kansal P, Bedi J, Jain S.
europepmc +1 more source
Brain Tumor Classification Using Meta-Heuristic Optimized Convolutional Neural Networks. [PDF]
Kurdi SZ +6 more
europepmc +1 more source
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley +1 more source
Engineering oriented shape optimization of GHT-Bézier developable surfaces using a meta heuristic approach with CAD/CAM applications. [PDF]
BiBi S +6 more
europepmc +1 more source
Feature selection in wind speed forecasting systems based on meta-heuristic optimization. [PDF]
El-Kenawy EM +6 more
europepmc +1 more source
A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems
ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley +1 more source
Optimal dimensioning of grid-connected PV/wind hybrid renewable energy systems with battery and supercapacitor storage a statistical validation of meta-heuristic algorithm performance. [PDF]
Samy MM, Güven AF.
europepmc +1 more source
Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland. [PDF]
Fu T, Wang D, Jin J.
europepmc +1 more source
A comparative analysis of meta-heuristic optimization algorithms for feature selection on ML-based classification of heart-related diseases. [PDF]
Ay Ş, Ekinci E, Garip Z.
europepmc +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source

