-
1061
Multi-Objective Majority–Minority Cellular Automata Algorithm for Global and Engineering Design Optimization
Published 2024-09-01“…When dealing with complex models in real situations, many optimization problems require the use of more than one objective function to adequately represent the relevant characteristics of the system under consideration. …”
Get full text
Article -
1062
-
1063
Optimization of extraction and enrichment process of cannabidiol from industrial hemp and evaluation of its bioactivity
Published 2025-02-01“…., a perennial dioecious herb renowned for its industrial applications, serves as the source of hemp. Cannabidiol (CBD), a non-psychotropic compound derived from industrial hemp, has garnered considerable interest due to its promising therapeutic potential.MethodsThe extraction parameters for CBD from industrial hemp were optimized using the Box-Behnken design and response surface methodology (RSM). …”
Get full text
Article -
1064
Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost
Published 2025-10-01Get full text
Article -
1065
Machine learning optimization of microwave-assisted extraction of phenolics and tannins from pomegranate peel
Published 2025-06-01“…However, there is still a lot of difficulty dealing with the extraction of these substances due to the limitations of traditional methods. Microwave-assisted extraction (MAE) has shown promise, but optimizing it for maximum efficiency and yield remains a challenge. …”
Get full text
Article -
1066
Optimizing infrared drying of black soldier fly larvae for sustainable cricket feed production
Published 2025-01-01“…As global demand for animal-derived protein surges, Black soldier fly larvae emerge as a promising sustainable feed source, particularly for cricket farming. This study investigated the infrared drying of whole larvae, exploring its potential as an efficient alternative to conventional drying methods for producing high-quality cricket feed. …”
Get full text
Article -
1067
Federated Learning for Fall Detection With Multimodal Residual Fusion and Pareto-Optimized Client Selection
Published 2025-01-01“…Secondly, to address variations in data modalities, distributions, and quality across clients, by considering all client factors rather than treating clients as independent, five innovative evaluation metrics are designed to assess the convergence and generalization performance of the local models. Finally, a Pareto-optimized client selection method is introduced to efficiently select reliable clients for global aggregation, ensuring both the stability and robustness of the global model. …”
Get full text
Article -
1068
Induced zero-phase synchronization as a potential neural code for optimized visuomotor integration
Published 2025-05-01“…Background: Goal-directed behavior requires the integration of information from the outside world and internal (somatosensory) sources about our own actions. Expectations (or ‘internal models’) are generated from prior knowledge and constantly updated based on sensory feedback. …”
Get full text
Article -
1069
Desalination and Sterilization of Sea Water Using Active Optimized Optical Heat Concentration System
Published 2023-01-01“…Carbon emissions from these sources cause breathing problems and ozone depletion. …”
Get full text
Article -
1070
Maximizing Microgrid Efficiency: A Unified Approach with Extended Optimal Propositional Logic Control
Published 2024-09-01“…However, this method is not optimal. On the contrary, switched rule-based control (S-RBC) is a more effective and advanced method to control an MG than other control techniques. …”
Get full text
Article -
1071
Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education
Published 2025-06-01“…Implemented on a suite of open-source models and trained with publicly available Python corpora, our method proves model-agnostic and lightweight. …”
Get full text
Article -
1072
Dam Risk Identification Method Based on EAHP-EWM-TOPSIS
Published 2024-01-01“…To address the uncertainty and fuzziness of dam risk indicators, this paper proposes a dam risk identification model based on the EAHP-EWM-TOPSIS game combination model.This is to determine the subjective and objective weights of risk evaluation indicators by extension analytic hierarchy process and entropy weight method respectively.Meanwhile, the game theory is introduced to determine the optimal combination weight, and a weighted standardized decision matrix is constructed.Then, the TOPSIS method is employed to calculate the relative proximity between each risk factor and the ideal solution as the basis for ranking risk factors to identify the main risk sources of dams.The engineering example shows that the main risk factors affecting the safe service of the dams are dam seepage and cross-bank seepage, with the relative proximity of 0.712 7 and 0.855 2 respectively.The identified main risk factors are consistent with the actual engineering situation, which verifies the model effectiveness.The differentiation degree of this model is more obvious than other models, providing an effective basis for dam reinforcement and risk management.…”
Get full text
Article -
1073
Thrombolytic activity and antibacterial activity optimize staphylokinase enzyme production from Staphylococcus aureus
Published 2025-03-01“…These conditions included a carbon source (glucose), a nitrogen source (yeast extract), an inoculum size of 1%, an incubation temperature of 37 °C, and a pH of 7. …”
Get full text
Article -
1074
Adaptive Control and Market Integration: Optimizing Distributed Power Resources for a Sustainable Grid
Published 2025-03-01“…This work presents a novel method based on a mix of renewable energy sources, energy storage technologies, and conventional generators for the optimization of DPR operations under dynamic market settings. …”
Get full text
Article -
1075
Coal pulverization by electric pulse method for water-coal fuel
Published 2020-03-01“… In the article describes the electrohydraulic method as a source of high energy concentration for the disintegration of the components of water-coal fuel in an aqueous medium under the action of pulsed discharges. …”
Get full text
Article -
1076
-
1077
Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials
Published 2025-03-01“…In this study, a comprehensive investigation into the parameter fitting and acoustic performance optimization of porous materials is conducted, utilizing advanced physical models, multifluid impedance transfer theory, and particle swarm optimization algorithms. …”
Get full text
Article -
1078
A Trusted Federated Learning Method Based on Consortium Blockchain
Published 2024-12-01“…Federated learning (FL) has gained significant attention in distributed machine learning due to its ability to protect data privacy while enabling model training across decentralized data sources. However, traditional FL methods face challenges in ensuring trust, security, and efficiency, particularly in heterogeneous environments with varying computational capacities. …”
Get full text
Article -
1079
Advanced Financial Fraud Malware Detection Method in the Android Environment
Published 2025-04-01“…Five ML algorithms were used to evaluate the proposed approach, and the optimal hyperparameter values for each algorithm were obtained using a grid search method. …”
Get full text
Article -
1080
Optimizing energy and load management in island microgrids for enhancing resilience against resource interruptions
Published 2025-05-01“…In this paper, we propose a novel resilience-oriented energy and load management framework for island microgrids, integrating a multi-objective optimization function that explicitly minimizes load curtailment, energy losses, voltage deviations, emissions, and energy procurement costs while maximizing the utilization of renewable energy sources. …”
Get full text
Article