Maximizing efficiency and performance of water distribution systems through the implementation of optimization algorithms: A comprehensive analysis of valve and chlorine booster pl... by Mohamadreza Najarzadegan, Mehrtash Eskandaripour

“…By employing advanced optimization algorithms, specifically the Genetic Algorithm (GA) and Slime Mould Algorithm (SMA), the research identifies optimal configurations across two benchmark networks, Jowitt and Xu and GoYang. …”
Get full text

Breaking Spatial Constraints: A Dimensional Perspective-Based Analysis of the Eco-Efficiency of Cultivated Land Use and Its Spatial Association Network by Xingjia Wang, Dongyan Wang

“…The super slack-based measure and gravity and social network analyses methods were applied to evaluate the ECLU and explore the structural characteristics of its spatial association network. …”
Get full text

Joint Resource Allocation and Power Control in Rate-Splitting Multiple Access-Based Integrated Terrestrial and Non-Terrestrial Networks With HAP Assistance by Thong-Nhat Tran, Young Jeon, Heejung Yu, Taejoon Kim

“…This paper proposes a novel network architecture integrating a non-terrestrial network (NTN) with low-earth orbit (LEO) satellites and high-altitude platforms (HAPs) and terrestrial network (TN) with ground base stations under rate-splitting multiple access (RSMA) to enhance spectral efficiency (SE). …”
Get full text

Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach by Noor Yusuf, Roberto Baldacci, Ahmed AlNouss, Tareq Al-Ansari

“…Traditional methods that implement average forecasted demand and prices often fail to account for the dynamic nature of network behaviour. …”
Get full text

Application of capsule networks based on reparameterized heterogeneous convolution in multi-scale heterogeneous environment matrix in predictive modeling of interdisciplinary compl... by Shuya Liu, Xiaoli Zhang

“…For the purpose of meteorological change prediction, the average Brier score remains around 0.08, indicating low error and high stability. …”
Get full text

Contribution of Protected Area Networks to Achieving Global Biodiversity Framework Targets and Sustainable Development Goals: Evidence From Coastal Shandong, China by Ye Zhao, Xinyu Liu, Wenyu Zhang, Nan Liu, Lin Fan, Li Zhao

“…This study applied circuit theory to construct and optimize a PAN in China's coastal region. First, resistance surfaces were mapped, connectivity corridors identified, and network key points determined. …”
Get full text

Smart village construction and college students’ skills entrepreneurship path based on LSTM and simulated annealing algorithm by Xueli Dong

“…Based on this background, this study actively explores the application potential of Long short-term memory network (LSTM) and simulated annealing algorithm in the construction of smart villages and the optimization of college students’ skill entrepreneurship paths. …”
Get full text

Federated learning and GWO-enabled consumer-centric healthcare internet of things for pancreatic tumour by Nuha Alruwais, Ghada Moh. Samir Elhessewi, Muhammad Kashif Saeed, Menwa Alshammeri, Othman Alrusaini, Abdulwhab Alkharashi, Samah Al Zanin, Yahia Said

Get full text

Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Siqi Li, Weidong Li, Wanbo Zheng, Yunni Xia, Kunyin Guo, Qinglan Peng, Xu Li, Jiaxin Ren

“…The problem is formulated as a multi-objective optimization problem, which is solved using a two-layer alternating optimization framework. …”
Get full text

Machine learning models for optimization, validation, and prediction of light emitting diodes with kinetin based basal medium for in vitro regeneration of upland cotton (Gossypium... by Gözde Yalçın Özkat, Muhammad Aasim, Allah Bakhsh, Seyid Amjad Ali, Sebahattin Özcan

“…Results GSN-12 exhibited superior shoot regeneration potential compared with STN-468, with an average of 4.99 shoots per explant versus 3.97. Optimal results were achieved with 5 mg·L−1 KIN preconditioning, ¼ MS postconditioning, and 80% red LED, with maximum of 7.75 shoot count for GSN-12 under these conditions; while STN-468 reached 6.00 shoots under the conditions of 10 mg·L−1 KIN preconditioning, MS with 0.05 mg·L−1 KIN (postconditioning) and 75.0% red LED. …”
Get full text

Continuous prediction of knee joint angle in lower limbs based on sEMG: a method combining an improved ZOA optimizer and attention-enhanced GRU by Jian Lv, Binhao Huang, Ligang Qiang

“…This study proposes a novel approach for continuous knee joint angle prediction based on surface electromyography (sEMG), integrating an Improved Zebra Optimization Algorithm (IZOA) with an attention-enhanced Gated Recurrent Unit (GRU) network. …”
Get full text

AI-Assisted Design of Drain-Extended FinFET With Stepped Field Plate for Multi-Purpose Applications by Xiaoyun Huang, Hongyu Tang, Chenggang Xu, Yuxuan Zhu, Yan Pan, Dawei Gao, Yitao Ma, Kai Xu

“…In addition, it effectively generates Pareto-optimal solutions, delivering an average improvement of 9.03% across key electrical performance metrics. …”
Get full text

Energy management system for PV-based distributed generators in AC microgrids using an adapted JAYA optimizer to minimize operational costs, energy losses, and CO2 emissions by Nicolás Ignacio Labra-Cáceres, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya

“…Simulations were performed 100 times per scenario to evaluate the optimal solution, average performance, repeatability, and processing times. …”
Get full text

Continuous prediction of human knee joint angle using a sparrow search algorithm optimized random forest model based on sEMG signals by Liuyi Ling, Zhu Lin, Bin Feng, Liyu Wei, Li Jin, Yiwen Wang

“…The performance of the proposed model was compared with those of traditional backpropagation neural network, support vector machine regression, and random forest models. …”
Get full text

Kinetics, central composite design and artificial neural network modelling of ciprofloxacin antibiotic photodegradation using fabricated cobalt-doped zinc oxide nanoparticles by Asmaa I. Meky, Mohamed A. Hassaan, Mohamed A. El-Nemr, Howida A. Fetouh, Amel M. Ismail, Ahmed El Nemr

“…Artificial neural networks (ANN) were used to simulate the experimental data. …”
Get full text

A Distributed Coalition Selection of Distribution Centers for Delivery Stations by Fan Wu, Ming Yu, Jingya Zhang, Yicheng Fan, Ming Li

“…Extensive Monte Carlo simulations demonstrate that our algorithm achieves 8% higher average delivery station utility than Genetic Algorithms and 11% higher than Particle Swarm Optimization when the scale of the delivery stations is large, whereas maintaining comparable distribution center utility. …”
Get full text

Optimizing SGLT2 inhibitor and GLP-1 RA prescribing in high-risk patients with diabetes: a Department of Veterans Affairs quality improvement intervention by Shira Yun, Kathryn Hurren, Rob Holleman, Mandi Klamerus, Adam Tremblay, Jeremy B. Sussman

Get full text

A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference by Sadhana Selvakumar, B. Senthilkumar

“…This paper presents a privacy-preserving machine learning (PPML) framework using a Fully Connected Neural Network (FCNN) for secure medical image analysis using the MedMNIST dataset. …”
Get full text

Analysis and Optimization of Operating Modes of Mini-CHP on Local Fuels in Conditions of Surplus Electric Power Capacities in the Unified Energy System of Belarus. Part 2 by R. S. Ignatovich, V. A. Sednin, Ye. S. Zuyeva

Get full text

Analysis and Optimization of Operating Modes of Mini-CHP on Local Fuels in Conditions of Surplus Electric Power Capacities in the Unified Energy System of Belarus. Part 1 by R. S. Ignatovich, V. A. Sednin, Ye. S. Zuyeva

Get full text