Predictive modeling of controlled drug release from polysaccharide-based systems using gradient boosting and metaheuristic optimization. [PDF]
Albariqi AH +4 more
europepmc +1 more source
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
A hybrid ensemble deep learning framework with novel metaheuristic optimization for scalable malicious website detection. [PDF]
Yang T, Sun J.
europepmc +1 more source
Breast Cancer Classification Using Synthesized Deep Learning Model with Metaheuristic Optimization Algorithm. [PDF]
Thirumalaisamy S +7 more
europepmc +1 more source
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]
Renugadevi M +4 more
europepmc +1 more source
Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs
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
Resolving energy transfer dynamics in Eu²⁺-activated multi-site phosphors via metaheuristic optimization and physics-informed neural networks. [PDF]
Lee BD +5 more
europepmc +1 more source
An efficient churn prediction model using gradient boosting machine and metaheuristic optimization. [PDF]
AlShourbaji I +5 more
europepmc +1 more source
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

