Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems by Nyange Augustine Mbufua, Pascalin Tiam Kapen, François Ngapgue, Armand Nzeukou Takougang

“…The final integration of all three parameters (APT-HG-LET-SE) revealed that more than 50% of the entire study area is highly suitable for hybrid renewable energy systems, while unsuitable areas were restricted to valleys and sharply inclined slopes. …”
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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

“…The correct diagnosis of heart disease can save lives, while the incorrect diagnosis can be lethal. The UCI machine learning heart disease dataset compares the results and analyses of various machine learning approaches, including deep learning. …”
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A novel method for encoding and decoding based on enhanced parity-check-concatenated polar codes by Yan WANG, Shunlan LIU, Zhenzhen XI, Jianrong BAO

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A novel method for encoding and decoding based on enhanced parity-check-concatenated polar codes by Yan WANG, Shunlan LIU, Zhenzhen XI, Jianrong BAO

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Combinatorial machine learning approaches for high-rise building cost prediction and their interpretability analysis by Zenghui Liu, Jing Lin

“…Results show that the BP-SVM combination algorithm significantly reduces Mean Absolute Error (MAE) compared to other models. …”
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Bi-Level Collaborative Optimization for Medical Consumable Order Splitting and Reorganization Considering Multi-Dimensional and Multi-Scale Characteristics by Peng Jiang, Shunsheng Guo, Xu Luo

“…Finally, a case study and comparative experiments validate the practicality and effectiveness of the proposed model and algorithm.…”
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Research on adaptive parking planning of heavy-haul trains on Shenmu-Shuozhou railway by HE Jia, YUAN Peng

“…Finally, a hardware-in-the-loop simulation platform was utilized to test and verify the proposed algorithm in three typical sections. The verification results show that the proposed algorithm achieves an average parking planning error of 1.31 meters while meeting the safety constraints , demonstrating the algorithm’s effectiveness and highlighting its value in practical engineering applications.…”
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Wind–Photovoltaic–Hydropower Joint Output Model Study Based on Probability Distribution and Correlation Analysis by Ligui Wu, Benhong Wang, Peng Zhang, Yiming Ke, Fangqing Zhang, Jiang Guo

“…In configuring wind and photovoltaic output reasonably, the amount of abandoned wind and abandoned light is decreased significantly, while the reliability of the power system is improved.…”
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Evolutionary Topological Optimization Method for Local Rib Addition in Single-Layer Shell Structures by WANG Rungu, DONG Xiao, GONG Jinghai

“…Using steel consumption as the evaluation index, a topological optimization method based on the evolutionary structural optimization algorithm is proposed for single-layer reticulated shell structures. …”
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Nonlinear Compound Function-Based Course-Keeping Control for Ships in Rough Seas by Guoshuai Li, Shimiao Wang, Xianku Zhang, Wenjun Zhang, Zhenhuan Zhang

“…To ensure the safe navigation of ships in rough seas while reducing steering gear energy consumption and losses, a steering control system with small rudder output angles, low steering frequency, and high control performance was designed. …”
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Monitoring and investigation to control the brain network disease under immunotherapy by using fractional operator by Muhammad Farman, Ammara Talib, Khadija Jamil, Kottakkaran Sooppy Nisar, Aceng Sambas, Mustafa Bayram, Mohamed Hafez

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A novel mixed technique for order abatement in linear time invariant systems and robustness analysis of DC motor by Priyajit Dash, M. L. Meena, M. Ramkumar Raja, Wahaj Ahmad Khan

“…The proposed approach utilizes the Honey Badger algorithm (HBA) to compute the numerator polynomials, while the stability equation (SE) method determines the denominator polynomials of the abated system (AS). …”
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Evaluating ground vibration attenuation through leca‐filled trenches: A support vector machine approach by Mohsen Naghizadeh Rokni, Omid Tavasoli, Reza Esmaeilabadi, Amirpouya Saraf

“…This underscores the algorithm's utility in predicting trench efficiency, highlighting the practical application of machine learning in geotechnical engineering.…”
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Generative design and multi-objective optimization for enhanced building thermal performance by Omar Ain, Husam B. Khalil, Maryam El-Maraghy, Mohamed Marzouk

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Strategic Integration of Battery Energy Storage Systems for Effective EV Charging Demand Management in Transactive Energy Markets by T. H. M. Sumon Rashid, Md. Rabiul Islam, Md Muminur Rahman Sonic

“…Overall, this novel approach provides an effective framework for DNOs to enhance grid performance while strategically incorporating the economic aspects of BESS, ultimately lowering EV charging costs compared to existing methods.…”
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Bilateral Matching Decision Model and Calculation of High-Speed Railway Train Crew Members by Wen Li, Yinzhen Li, Rui Xue, Yuxing Jiang, Yu Li

“…To meet the preference demands of the crew members of high-speed railway trains while forming a crew team, and to automate the compilation of adaptable crew member schemes, a bilateral matching decision method for crew members is proposed based on complete preference order information. …”
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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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