A Novel Forecasting System with Data Preprocessing and Machine Learning for Containerized Freight Market by Yonghui Duan, Xiaotong Zhang, Xiang Wang, Yingying Fan, Kaige Liu

“…Additionally, variational mode decomposition (VMD) technique is employed to decompose the time series in a rolling manner, effectively avoiding data leakage while extracting significant features. In the forecasting stage, the cheetah optimization algorithm (COA) optimizes the key parameters of the extreme gradient boosting (XGBoost) model, enhancing forecasting accuracy. …”
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A framework for heat energy community planning with a special focus on cost sharing by Bernadette Fina

“…While electricity-based energy communities (ECs) have received significant scientific attention, heat-based ECs have not gotten the attention they deserve. …”
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Boosting EMG classification: a hybrid NCA-driven evolutionary optimization approach for high accuracy and efficiency by X. Little Flower, S. Poonguzhali

“…Abstract A novel hybrid approach combining neighborhood component analysis (NCA) and metaheuristic optimization algorithms is proposed to improve the classification accuracy of electromyography (EMG) signals while reducing the feature set size and computational time. …”
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Dynamical Analysis and Optimization of Combined Vibration Isolator with Time Delay by Yaowei Wang, Xiangyu Li

“…To further enhance performance, a genetic algorithm is used to optimize the control parameters under harmonic force excitation. …”
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Dynamic Inversion Method for Concrete Gravity Dam on Soft Rock Foundation by Guanglin Yin, Chaoning Lin, Taozhen Sheng, Wenbo Xue, Tongchun Li, Siyu Chen

“…The results reveal an exponential decay in the foundation’s elastic modulus (from 4.67 GPa to approximately 3.83 GPa), while the dam body maintains a stable modulus of 20.74 GPa. …”
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Development of an efficient method for object detection and localization in 3D space using RGBD cameras for autonomous systems by Nataliya Boyko

“…The results of experimental research confirm a high level of accuracy and stability even under challenging conditions. The algorithm outperforms existing models in terms of processing speed while demonstrating comparable or superior positioning accuracy. …”
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Optimization of Reverse Logistics Networks for Hazardous Waste Incorporating Health, Safety, and Environmental Management: Insights from Large Cruise Ship Construction by Huilin Li, Jiaqi Yang, Wei Zhang

“…The comparative analysis shows that DCSA performs as well as NSGA-II, while outperforming DGWO, demonstrating both stability and efficiency. …”
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Wavelet deep unfolding network for iterative stripe noise removal in wideband microwave imaging system for EMS localization by Yanju Zhu, Zihan Zhao

“…These innovations enable the proposed algorithm to effectively handle dynamically varying noise in wideband. …”
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Establishment and Solution Test of Wear Prediction Model Based on Particle Swarm Optimization Least Squares Support Vector Machine by Xiao Huang, Yongguo Wang, Yuhui Mao

“…The model parameters are optimized by the two-dimensional coordinates (c and g) of the particle swarm algorithm to adapt to the given training sample set. …”
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A Multi-Objective Optimization Study on a Certain Lecture Hall Based on Thermal and Visual Comfort by Hui Xi, Shichao Guo, Wanjun Hou, Bo Wang

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Reinforcement Learning-Based Real-Time Contrasts Control Chart Using an Adaptive Window Size by Kyuchang Chang, Seung Hwan Park

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Comparison of Control Law Synthesis Methods for the Wheeled Robot Motion by Anastasiia Tomilova, Margarita Sotnikova

“…As a rule, the choice of one or another control algorithm depends on many factors, including the type of system. …”
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A carbon aware ant colony system for the sustainable generalized traveling salesman problem by Marina Lin, Laura P. Schaposnik

“…In an era where sustainability is becoming increasingly crucial, we introduce a novel Carbon-Aware Ant Colony System (CAACS) Algorithm that addresses the Generalized Traveling Salesman Problem while minimizing carbon emissions. …”
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Photovoltaic Hosting Capacity Assessment of Distribution Networks Considering Source–Load Uncertainty by Chao Chen, Weifeng Peng, Cheng Xie, Shufeng Dong, Yibo Hua

“…The model considers system constraints and employs the sparrow search algorithm (SSA) to optimize the maximum PV hosting capacity. …”
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Evacuation Route Determination in Indoor Architectural Environments Based on Dynamic Fire Risk Assessment by Jiaojiao Bai, Xikui Lv, Liangtao Nie, Mingjing Fang

“…To address this issue, this study proposes an enhanced A* algorithm to determine evacuation paths based on dynamic fire risk assessment. …”
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Leveraging Game Theory to Design Incentive-Compatible Time-Varying electricity pricing with Demand-Side management by Magda I. El-Afifi, Bishoy E. Sedhom, Abdelfattah A. Eladl, Padmanaban Sanjeevikumar, Samaa Fawzy

“…To address this, the influence of two optimization algorithms, Genetic Algorithm (GA) and Archimedes Optimization Algorithm (AOA), on user electricity bills and peak-to-average ratio following load scheduling is examined. …”
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One-to-many vehicle-cargo matching model considering consignor satisfaction by Jingshuai YANG, Yongkang LI, Weibo YANG

“…It reduces the total cost borne by the consignor and maintains a high consignor satisfaction and vehicle loading rate while being more in line with the actual scenario.…”
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Network loss allocation and carbon emission responsibility calculation for new energy power generation by SHENG Junjie, YIN Li, YANG Fan, YUAN Jie, HU Mengjie, CHEN Qian

“…With the advancement of China′s “dual carbon” goals， more and more new energy power is integrated into power grids. While new energy power generation itself has no carbon emission costs， the transmission of new energy power to end users causes changes in network losses. …”
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Method for determining of aircraft landing performance by the simulation modeling by P. S. Kostin, S. V. Dedov, D. V. Gotsev, V. V. Vishinsky

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Dynamic gold rush optimizer: fusing worker adaptation and salp navigation mechanism for enhanced search by Yanhua Zhang, Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ephraim Bonah Agyekum, Pankaj Kumar

“…These findings underscore the effectiveness of DGRO as a competitive and robust optimization algorithm.…”
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