Results 131 to 140 of about 12,030 (235)

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

open access: yesEnergy Science &Engineering, Volume 14, Issue 6, Page 2996-3012, June 2026.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh   +3 more
wiley   +1 more source

Breast Cancer Classification Using Synthesized Deep Learning Model with Metaheuristic Optimization Algorithm. [PDF]

open access: yesDiagnostics (Basel), 2023
Thirumalaisamy S   +7 more
europepmc   +1 more source

Application of Artificial Intelligence in the Diagnosis, Prediction, and Management of Metabolic Syndrome: A Systematic Review

open access: yesHealth Science Reports, Volume 9, Issue 6, June 2026.
ABSTRACT Background and Aims Metabolic syndrome (MetS) is associated with increased risks of cardiovascular disease and type 2 diabetes, with recent global prevalence estimates of approximately 28%–31% in adults. Artificial intelligence (AI) and machine learning offer potential to improve risk stratification beyond conventional statistical methods ...
Aynaz Esmailzadeh   +4 more
wiley   +1 more source

GlioSurvQNet: A DuelContextAttn DQN Framework for Brain Tumor Prognosis with Metaheuristic Optimization. [PDF]

open access: yesDiagnostics (Basel)
Renugadevi M   +4 more
europepmc   +1 more source

Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs

open access: yesNetworks, Volume 87, Issue 4, Page 404-427, June 2026.
ABSTRACT A 2‐packing set for an undirected, weighted graph G=(V,E,w) is a subset 𝒮⊆V such that any two vertices v1,v2∈𝒮 are not adjacent and have no common neighbors. The Maximum Weight 2‐Packing Set problem that asks for a 2‐packing set of maximum weight is NP‐hard.
Jannick Borowitz   +2 more
wiley   +1 more source

An efficient churn prediction model using gradient boosting machine and metaheuristic optimization. [PDF]

open access: yesSci Rep, 2023
AlShourbaji I   +5 more
europepmc   +1 more source

An Overview of Artificial Intelligence and Machine Learning Approaches for Building Energy Analysis, Characterization, Control, and Grid Support Services Provision

open access: yesWIREs Energy and Environment, Volume 15, Issue 2, June 2026.
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

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