Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland by Tonglin Fu, Dong Wang, Jing Jin

“…To achieve this purpose, the Convolutional neural network (CNN) was integrated with Bidirectional long short-term memory network (BiLSTM) as main estimating module, and the Sparrow search algorithm (SSA) was employed to search the optimal hyperparameters of CNN-BiLSTM. To overcome the drawback that directly using measured evaporation time series to predict evaporation may lead to large error, the Variational mode decomposition (VMD) was used to extract multiscale traits of evaporation time series, and Whale optimization algorithm (WOA) was adopted to find the optimal parameters of VMD, and a novel hybrid deep learning model WOA-VMD-CNN-SSA-BiLSTM was proposed to estimate the evaporation in the Linze County, China. …”
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Coordinated Operation of the Constituent Components of a Community Energy System to Maximize Benefits While considering the Network Constraints by A. H. Wijethunge, J. V. Wijayakulasooriya, J. B. Ekanayake, A. Polpitiya

“…In this paper, a method to maximize the utilization of the renewables while maximizing the profit of a smart community within system constraints was suggested by introducing an optimum schedule of smart appliances in the community. …”
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Revolutionizing clinical decision making through deep learning and topic modeling for pathway optimization by Liu Tianzhao, He Jinzhi, Zhou Rong, Song Jun, Liu Hailong, Liang Yan

“…Abstract Optimizing clinical pathways is pivotal for enhancing healthcare delivery, yet traditional methods are increasingly insufficient in the face of complex, personalized medical demands. …”
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A Design Framework for Reconfigurable Intelligent Metasurfaces Enabling Full-Space Beamforming Using Auxiliary Surface Waves by Tianke Qiu, George V. Eleftheriades

“…This paper provides a complete design framework for RISs based on the Method of Moments (MoM) to establish a multiport network and an efficient optimization scheme. …”
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Collaborative optimization design method for water injection layer division and injection-production fluid allocation in high water cut reservoirs by ZHANG Xianmin, LI Shanshan, FENG Qihong, LIU Chen, LIU Xiangbin

“…By leveraging the Dung Beetle Optimizer， a collaborative optimization design method for water injection layer division and injection-production fluid allocation in high water cut reservoirs was proposed， enabling the integrated optimization design of key parameters for fine layered water injection. …”
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Optimization of polymer stake geometry by fea to enhance the retention force of automotive door panels by R. Martínez-Hinojosa, J.E. Garcia-Herrera, I.E. Garduño, H. Arcos-Gutiérrez, M.G. Navarro-Rojero, V.H. Mercado-Lemus, J.A. Betancourt Cantera

“…Models designed in the computer and developed in Siemens NX were validated through finite element analysis to quantify stiffness, maximum retention force, and stress concentration using different ANSYS software. The optimized configuration – featuring a 10 mm height, 15.5 mm length, three reinforcements, and 0.5 mm clearance – increased strength by 33.8% (234.2 N vs. the traditional 175 N design) while reducing the required manufacturing area by 74%.…”
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Radar-equivalent snowpack: reducing the number of snow layers while retaining their microwave properties and bulk snow mass by J. Meloche, N. R. Leroux, B. Montpetit, V. Vionnet, C. Derksen

“…Using this methodology in SWE retrieval applications, this method can be used to simplify snowpacks and reduce the number of variables to optimize while maintaining similar scattering behavior without compromising the modeled snowpack properties. …”
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Bio-Inspired Observability Enhancement Method for UAV Target Localization and Sensor Bias Estimation with Bearing-Only Measurement by Qianshuai Wang, Zeyuan Li, Jicheng Peng, Kelin Lu

“…The performance metric and the distance of the UAV relative to the target are utilized as objective functions for trajectory optimization. To determine the decision variables (the UAV’s velocity and turn rate) for UAV maneuver decision making, a multi-objective optimization framework is constructed, and is subsequently solved via the nonlinear constrained multi-objective whale optimization algorithm. …”
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Mild water deficit during maturity reduces cracking rate of greenhouse muskmelon while improving fruit quality by Qimin Xue, Hao Li, Taisheng Du

“…The comprehensive quality score based on principal component analysis and membership function method revealed that severe DI applied at entire reproductive period had optimal comprehensive quality score. …”
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Suboptimal protein intake for hypocaloric diet needs while using glucagon-like peptide-1 receptor agonists by Brittany Johnson, Tyler McGlasson, Olena Thomas, Rachel Kreider, Rachel Jones

“…Background The primary aim of this study was to evaluate protein intake of individuals while using a Glucagon-like Peptide-1 Receptor Agonist medication (GLP-1RA). …”
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An adaptive coverage method for dynamic wireless sensor network deployment using deep reinforcement learning by Peng Zhou, Mingqi Kan, Wei Chen, Yingchao Wang, Bingyu Cao

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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…In this study, we present a data-driven framework that employs machine learning to predict droplet size and generation frequency, while simultaneously optimizing device geometry. …”
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Impact of sales methods on profitability in the Japanese software industry: Resource allocation perspectives by Takaaki Ishikawa, Kiminori Gemba, Tetsuaki Oda

“…This study investigates how sales methods, service management, and resource allocation influence the operating profit margins of Japanese software companies, with a focus on marketing strategies and profitability improvement. …”
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Performance evaluation, prediction analysis and optimization of experimental ORC using artificial neural networks (ANN) by Diki Ismail Permana, Federico Fagioli, Maurizio De Lucia, Dani Rusirawan, Istvan Farkas

“…Unlike traditional Rankine cycles, ORC systems use refrigerants or mixed fluids as working fluids, which have lower boiling points than water and are environmentally friendly, allowing efficient power generation on a smaller scale and at lower temperatures (above 200°C). While many experimental studies on ORC have been conducted, significant gaps remain in accurately predicting unknown or unmeasured data and identifying optimal operating conditions. …”
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Optimization of EEG-based wheelchair control: machine learning, feature selection, outlier management, and explainable AI by Amr M. Hamed, Abdel-Fattah Attia, Heba El-Behery

“…This study proposes an optimized classification framework that evaluates ten machine learning (ML) models, emphasizing ensemble methods, feature selection (FS), and outlier utilization. …”
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RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention by Huiqing Wei, Fei Han, Qing Liu, Henry Han

“…Experimental results show that, while ensuring the quality of problem solving,the proposed method significantly outperforms some other methods in terms of the speed of solving MOCO problems.…”
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Optimizing processing methods for maximum bioactive retention: comparative metabolomic analysis of dried loquat (Eriobotrya japonica) flowers and their powdered extracts by Mingzheng Duan, Jieming Feng, Jing-Han Feng, Xi Wang, Xu Xiao, Shirong He, Hengcui Guo, Wenyan Zhang, Zhumao Jiang, Tongfa Wan, Muhammad Junaid Rao

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Improving Rotational Stability of Radial Permanent Magnetic Bearings for Compact Rotors via Axial Offset and Optimal Sizing by Mante Baekeland, Konstantinos Gryllias, Dirk Vandepitte

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Multi-Source Coordinated Control and Parameter Optimization Methods for Frequency Stability in High-Proportion New Energy Sending-End Systems by JIANG Minghua, LI Ding, KONG Dezhen, WANG Zhuxiu, BAI Ningning, LI Zhongwen

“…However， integrating a high proportion of renewable energy poses significant challenges to the frequency security and control of power systems at the sending-end base. [Methods] To address these challenges， this study proposes a frequency control and parameter optimization method tailored for the coordinated operation of heterogeneous multi-source systems in a new high-proportion energy-sending-end base. …”
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A Lightweight Pavement Defect Detection Algorithm Integrating Perception Enhancement and Feature Optimization by Xiang Zhang, Xiaopeng Wang, Zhuorang Yang

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