Results 131 to 140 of about 52,700 (290)
Artificial Intelligence and Machine Learning Approaches used in Building Energy Analysis, Control, and Provision of Grid Support Services. ABSTRACT Increasing penetrations of variable renewable energy sources like wind and solar photovoltaic (PV) systems are challenging power system stability worldwide.
Jack S. Bryant +11 more
wiley +1 more source
Multiple-Response Optimization by using Neural Networks and Metaheuristic Algorithms
Hossein Abbasi +2 more
openalex +1 more source
Improving the Quality of Routing Service using Metaheuristic PSO algorithm in VANET Networks [PDF]
Amir Javadpour +4 more
openalex +1 more source
ABSTRACT This paper presents a novel methodology for optimizing installation of low impact development practices (LIDs) in an urban hydrological catchment. This methodology helps stakeholders in deciding on what kind and area of LID must be installed in each sub‐catchment to attenuate pluvial flooding as a result of intense rain events.
Enrico Creaco +5 more
wiley +1 more source
Tablet‐based handwriting tasks (spiral, meander, and wave) are transformed into unified images and analyzed using PD‐MGMA‐DSCNN, a lightweight multiscale gated attention network. Bayesian–genetic optimization improves performance, while SHAP attribution maps provide interpretable handwriting biomarkers for Parkinson's disease screening.
Khosro Rezaee, Ali Khalili Fakhrabadi
wiley +1 more source
Timetabling Problems and the Effort Toward Generic Algorithms: A Comprehensive Survey
The timetabling problem, a well-known NP-Hard optimization challenge, spans multiple domains such as education, healthcare, sports, and transportation.
I. Gusti Agung Premananda +2 more
doaj +1 more source
A threshold accepting metaheuristic for the heterogeneous fixed fleet vehicle routing problem
Christos D. Tarantilis +2 more
openalex +1 more source
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh +8 more
wiley +1 more source
Introducing a cascaded TI–TID secondary controller (SFO‐tuned) for a renewable‐integrated three‐area grid with HVDC and smart transformers modulating voltage‐dependent loads, achieving faster settling, lower overshoot, and robust frequency/tie‐line regulation under ±20% load changes versus conventional TI/TID baselines.
Sanjeev Kumar Bhagat +7 more
wiley +1 more source
Rapid 5G/6G evolution demands cross‐layer resource management to address congestion, latency, and reliability in multi‐hop wireless networks. This paper proposes a TOHRP–LBCA framework using DSA and congestion−/topology−/interference‐aware routing and channel allocation, yielding throughput gains, lower latency, improved packet delivery, and higher ...
Emmanuel Ahatsi, Oludolapo Olanrewaju
wiley +1 more source

