Dynamic Vehicle Routing Using an Improved Variable Neighborhood Search Algorithm by Yingcheng Xu, Li Wang, Yuexiang Yang

“…In order to effectively solve the dynamic vehicle routing problem with time windows, the mathematical model is established and an improved variable neighborhood search algorithm is proposed. …”
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Topology-adapting routing strategy for global navigation satellite system by Yue Zhao, Xianqing Yi, Zhenwei Hou

“…Then, we build the constraint programming model of the global navigation satellite system routing problem. …”
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A three-stage machine learning and inference approach for educational data by Ting Da

“…While existing studies have utilized meticulous regression designs, it is challenging to select appropriate controls. Machine learning, however, offers a solution whereby the entire variable set can be inspected and filtered by different optimization schemes. …”
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Fast MRI Techniques of the Liver and Pancreaticobiliary Tract: Overview and Application by Bohyun Kim, So Hyun Park, Moon Hyung Choi

“…Motion reduction by breathing control schemes or scan time acceleration by k-space undersampling are two accessible approaches in clinical imaging. …”
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Multi-Temporal Energy Management Strategy for Fuel Cell Ships Considering Power Source Lifespan Decay Synergy by Xingwei Zhou, Xiangguo Yang, Mengni Zhou, Lin Liu, Song Niu, Chaobin Zhou, Yufan Wang

“…The study designs an attention-based CNN-LSTM hybrid model for power prediction and constructs a two-stage optimization framework: The first stage employs Model Predictive Control (MPC) for long-term power planning to optimize equivalent hydrogen consumption, while the second stage focuses on real-time power allocation considering both power source degradation and system operational efficiency. …”
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Connotation and application paradigm of intelligent mining data intelligence enabling technology by FU Xiang, WANG Kai, WANG Ranfeng

“…The algorithm layer combined industrial mechanism models and swarm intelligence algorithms to construct a dynamic decision-making system based on multi-objective optimization, achieving collaborative optimization of mining processes and safety-weighted priority control. …”
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Low-carbon operation strategy of AC/DC hybrid distribution network considering demand response and distributed robust game by XIAO Wenqiao, LIU Jichun

“…The follower model is equivalent to the equilibrium constraint of the leader model by karush-kuhn-tucher (KKT) condition, the two-layer interactive game model is transformed into a single-layer distributed robust optimization model. …”
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Coal mining equipment lifecycle management system architecture and key technology by Yihui PANG, Jinglong BI, Pengzhe YUAN, Baofu ZHAO, Ziwei DING

“…We studied the technical path of remote operation and maintenance of physical models based on digital twin technology, proposed a geometric-mechanism-data model fusion driven operation control and maintenance strategy, and looked forward to the development direction of intelligent comprehensive management technology and system platform for the entire life cycle of coal mining equipment.…”
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An Integrated Framework for Internal Replenishment Processes of Warehouses Using Approximate Dynamic Programming by İrem Kalafat, Mustafa Hekimoğlu, Ahmet Deniz Yücekaya, Gökhan Kirkil, Volkan Ş. Ediger, Şenda Yıldırım

“…We address this gap by developing an optimization model that integrates demand forecasts to guide daily replenishment decisions. …”
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Integrated energy low-carbon economic dispatch considering electricity-carbon price correlation and hydrogen energy storage by HUANG Yuehua, LI Chen, CHEN Chen, YANG Churui, GUO Qianting, LIN Chenjie

“…In order to improve the control of carbon emissions and energy consumption in comprehensive energy under the dual-carbon background, and reduce the proportion of wind curtailment costs, this paper establishes a low-carbon economic dispatch model for comprehensive energy systems that takes into account the electricity-carbon price correlation and hydrogen energy storage. …”
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An automated hybrid deep learning framework for paddy leaf disease identification and classification by Chatla Subbarayudu, Mohan Kubendiran

“…This research aims to design and propose a new automated model using a deep learning model for the disease identification and categorization of paddy leaves. …”
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A Novel Method for Analyzing the Kinetics of Convective/IR Bread Drying (CIRD) with Sensor Technology by Marko Petković, Alexander Lukyanov, Igor Đurović, Nemanja Miletić

“…These results of CIRD in bread drying are statistically significant and can be applied to industrial bakery drying processes, helping manufacturers to reduce energy costs, and adopt sensor-driven process control for enhanced sustainability. The CIRD model, which uses a 150 W IR lamp placed 15 cm above the bread slices being dried, represents the most effective optimization strategy.…”
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A Study on the Influence Mechanism of the Oil Injection Distance on the Oil Film Distribution Characteristics of the Gear Meshing Zone by Wentao Zhao, Lin Li, Gaoan Zheng

“…The findings provide quantitative evaluation methods for structural optimization and energy control in gear lubrication systems, offering theoretical insights for thermal management and reliability enhancement in high-speed transmission. …”
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Energy Cost of Running Under Hypogravity in Well-Trained Runners and Triathletes: A Biomechanical Perspective by Ueberschär O., Fleckenstein D., Warschun F., Walter N., Wüstenfeld J. C., Wolfarth B., Hoppe M. W.

“…Moreover, some converging trends were observed that might reflect general adaptations in running motor control for optimization of efficiency. In essence, the outcome of this research might help sports scientists and practitioners to design running programs for specific training stimuli, e.g. conditioning of anaerobic energy metabolism.…”
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Reliability analysis of gear-bearing drive systems considering gear manufacturing and installation errors by Jinzhou Song, Yifan Wang, Lei Hou, Tao Zhang, Minghe Zhang, Zhibin Zhang, Yifan Jiang, Yi Chen, Rongzhou Lin, Yushu Chen

“…This method provides a prioritization of parameter control for the structural optimization and design of gear-bearing systems.…”
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Challenges of Water Resources Governance under the Impact of Climate Change and Water Transfer by Atabak Jaffari, Ahmad Sharafati, Amin reza Neshat, Seyed abbas Hosseini

“…Objective: Given the climatic stresses along with the lack of planning for water resource allocation, the approach of identifying future conditions is essential to understand the potential for development or development control. Method: In this study, considering the integrated exploitation of surface and groundwater resources in the Qazvin study area and the use of transferred water from Taleghan Dam, the inflow to this dam and the status of the aquifer under climate change conditions were simulated using two optimization algorithms, the Fire Falcon and the Emperor Penguin, using the LSTM model. …”
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The comparative analysis of antiparkinsonian activity of glycine combined with amantadine in conditions of changing neurosynaptic transmission. by V. I. Mamchur, T. N. Kryvoruchko, O. V. Makarenko

“…Glycine at a dose of 100 mg/kg and 200 mg/kg facilitated to optimization of antitremor action of amantadine, that is registered in increased latent period of tremor, reduction of its duration and intensity attenuation almost by 2,1 times in comparison with indicators of the control group. …”
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Interpretable artificial intelligence for modulated metasurface antenna design using SHAP and MLP by Amrollah Amini, Ali Moshiri, Mohammad Amin Chaychi Zadeh, Vahid Nayyeri

“…The proposed methodology achieves near-perfect accuracy in SLL prediction and significant enhancement in HPBW estimation, offering a generalizable approach for integrating explainable AI into the modeling and optimization of advanced metasurface antenna systems.…”
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A novel LSTPA methodology for managing energy in electrical/thermal microgrids through CHP, battery resources, thermal storage, and demand-side strategies by Elmira Akhavan Maroofi, Mahmoud Samiei Moghaddam, Azita Azarfar, Reza Davarzani, Mojtaba Vahedi

“…Abstract This paper presents a stochastic optimization model for integrated energy management in electrical and thermal microgrids, addressing uncertainties in renewable energy resources. …”
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Wavelet neural network algorithm for hybrid GA in infrared CO2 gas sensor by Jun Wang, Yuanxi Wang

“…The non-dominant sorted genetic algorithm II (NSGA-II) was integrated into the GA to achieve a balance between the accuracy, complexity, and temperature performance of the model through multi-objective optimization. The results showed that compared with other existing models, the GA-WNN model proposed in this study can significantly reduce the difference between the detected values and the actual environmental values under various temperature conditions when processing data. …”
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