Optimizing Fractional-Order Convolutional Neural Networks for Groove Classification in Music Using Differential Evolution by Jiangang Chen, Pei Su, Daxin Li, Junbo Han, Gaoquan Zhou, Donghui Tang

“…Further experiments demonstrated that DE-FOCNN achieved higher accuracy and lower variance compared to other popular evolutionary algorithms. …”
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Operational determination of the point of a short circuit in power lines by K. V. Suslov, N. N. Solonina, Z. V. Solonina, A. R. Akhmetshin

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Logistics Hub and Route Optimization in the Physical Internet Paradigm by Hisatoshi Naganawa, Enna Hirata, Nailah Firdausiyah, Russell G. Thompson

“…<i>Methods:</i> We propose a novel demography-weighted combinatorial optimization model utilizing a genetic algorithm and the Lin–Kernighan heuristic. The model is tested with real data simulations to evaluate its performance. …”
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Does syndromic surveillance assist public health practice in early detecting respiratory epidemics? Evidence from a wide Italian retrospective experience by Giovanni Corrao, Andrea Stella Bonaugurio, Giorgio Bagarella, Mauro Maistrello, Olivia Leoni, Danilo Cereda, Andrea Gori

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A de-noising method for photoplethysmographic signals based on CoatiOA-VMD-WT by Zhang Baolin, Yi Gang, Tang Xin

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Vehicle scheduling optimization for demand responsive transit with flexible stops by SHEN Zikang, JIN Wenzhou, ZHENG Yajing

“…Finally, numerical experiments conducted in Guangzhou's Huangpu District demonstrate that bus utilization rate can enhance 8.7% and total cost can reduce 20% to 70%, respectively, compared with traditional two-stage method. Besides, the AVNS provides better solution quality for the vast majority of order sizes, saving over 30% of total cost for an order size of 60, compared with traditional algorithms.…”
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Enhanced Numerical Solutions for Fractional PDEs Using Monte Carlo PINNs Coupled with Cuckoo Search Optimization by Tauqeer Ahmad, Muhammad Sulaiman, David Bassir, Fahad Sameer Alshammari, Ghaylen Laouini

“…The results demonstrate that PINN-CS achieves superior numerical accuracy and computational efficiency compared to traditional fPINN and Monte Carlo fPINN methods. …”
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Prediction Analysis of Pre-Camber for Continuous Girder Bridge Cantilever Casting Construction Based on DBO-CNN-BiLSTM-Attention Neural Network by Jinyang Zhang, Haiqing Liu, Xiangen Gong, Ming Lei, Zimu Chen

“…The research results indicate that compared to several other prediction models, the model proposed in this paper demonstrates superior performance in predicting the pre-camber of continuous girder bridges. …”
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SPBO-ANFIS Model of Combined Monthly Runoff Forecasting Based on Singular Spectrum Analysis by ZHANG Yajie, CUI Dongwen

“…In view of the multi-scale non-stationarity and other characteristics of monthly runoff in hydrological time series,this paper proposes a singular spectrum decomposition (SSD)-based model of combined monthly runoff forecasting that integrates the student psychology based optimization (SPBO) algorithm with the adaptive network based fuzzy inference system (ANFIS),namely the SSD-SPBO-ANFIS model.This model is then applied to the monthly runoff forecasting at a hydrological station in Yunnan Province.Specifically,time series data of sample monthly runoff are decomposed into various independent sub-series components through SSD to reduce the complexity of the time series data;then,the principle of the SPBO algorithm is outlined,and eight standard functions are selected for simulation verification and comparison of the SPBO algorithm;finally,the SPBO algorithm is employed to optimize the ANFIS condition and conclusion parameters.The SSD-SPBO-ANFIS model is built to forecast each sub-series,which is then superimposed to obtain the final monthly runoff forecasting result.In addition,the results of the proposed model are compared with those of the ensemble empirical mode decomposition (EEMD)-based EEMD-SPBO-ANFIS model and the SPBO-ANFIS model without decomposition.The following observations can be made from the results:The SPBO algorithm has favorable optimization accuracy;with a mean absolute percentage error of 5.57%,a mean absolute error of 0.20 m³/s,a Nash coefficient of 0.994 8,and a pass rate of 96.7%,the SSD-SPBO-ANFIS model has an effect better than that of the EEMD-SPBO-ANFIS model and far better than that of the SPBO-ANFIS model in forecasting sample monthly runoff.The proposed model and method can provide references for related research on hydrological time series forecasting.…”
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Performance Evaluation of Metaheuristics for LQR Controller Optimization: A Two-Wheel Balancing Robot Case Study by Jose Ricardo Rivera-Ruiz, Ricardo Rojas-Galvan, Jose R. Garcia-Martinez, Edson Eduardo Cruz Miguel, Omar A. Barra-Vazquez, Maria Ines Cruz Orduna, Jesus Enrique Escalante-Martinez, Juvenal Rodriguez-Resendiz

“…The performance of each algorithm is evaluated through a comparative analysis, focusing on control stability and dynamic responsiveness. …”
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Combine photosynthetic characteristics and leaf hyperspectral reflectance for early detection of water stress by Linbao Li, Linbao Li, Linbao Li, Guiyun Huang, Guiyun Huang, Guiyun Huang, Jinhua Wu, Jinhua Wu, Jinhua Wu, Yunchao Yu, Yunchao Yu, Yunchao Yu, Guangxin Zhang, Guangxin Zhang, Guangxin Zhang, Yang Su, Yang Su, Yang Su, Xiongying Wang, Xiongying Wang, Xiongying Wang, Huiyuan Chen, Huiyuan Chen, Huiyuan Chen, Yeqing Wang, Di Wu, Di Wu, Di Wu

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Navigating Intelligence: A Survey of Google OR‐Tools and Machine Learning for Global Path Planning in Autonomous Vehicles by Alexandre Benoit, Pedram Asef

“…We delve into an extensive comparison and analysis of Google operations research (OR)‐Tools optimization algorithms. Our study is driven by the goal of applying and testing the limits of OR‐Tools capabilities by integrating Reinforcement Learning techniques for the first time. …”
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Usability and Perceived Efficiency of an Adaptive Route Optimization Solution for Commercial Vehicles by Florian Anghelache, Nicolae Goga, Constantin Viorel Marian, Dan Alexandru Mitrea, Ionel-Bujorel Pavaloiu

“…At the end of the day, adding these adjustments results in achieving up to a 20% improvement in the accuracy of executed routes, in terms of distance and time, compared to the planned route, outperforming standard optimization algorithms. …”
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EEMLCR: Energy-Efficient Machine Learning-Based Clustering and Routing for Wireless Sensor Networks by Muhammad Akram, Sibghat Ullah Bazai, Muhammad Imran Ghafoor, Saira Akram, Qazi Mudassar Ilyas, Abid Mehmood, Sajid Iqbal, Muhammad Asim Rafique

“…The proposed method is compared with the well-established LEACH algorithm and two multi-hop variants, DMHT LEACH and EDMHT LEACH to validate its effectiveness. …”
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Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan by Usman Basharat, Wenjing Zhang, Cuihong Han, Shoukat Husain Khan, Arshad Abbasi, Sehrish Mahroof, Shuxin Li

“…This study evaluates various base ML algorithms and stacking ensemble classifiers (meta-classifiers) using data from 90 groundwater samples collected in District Bagh, Azad Kashmir, Pakistan. …”
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THE USE OF ENERGY MANAGEMENT SYSTEM AT ENTERPRISES AND ORGANIZATIONS OF HOUSING AND COMMUNAL SERVICES ON THE BASIS OF THE REQUIREMENTS STANDARD ISO50001 by Evgeniy I. Beliaev, Iola Y. Kuklite, Polina E. Beliaeva

“…The possibilities of using the principles of energy management in accordance with the requirements of the international standard ISO50001 to improve management efficiency in housing and communal services. The results of research of problems of housing management for management companies and homeowners, the algorithm for comparative evaluation of energy-saving technologies in the reconstruction of the housing stock.…”
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Automated evaluation of accessibility issues of webpage content: tool and evaluation by Jinat Ara, Cecilia Sik-Lanyi

“…Abstract In recent years, there has been a growing field of research focused on comprehending complexity in relation to web platform accessibility. …”
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Indoor Microclimate Monitoring and Forecasting: Public Sector Building Use Case by Ruslans Sudniks, Arturs Ziemelis, Agris Nikitenko, Vasco N. G. J. Soares, Andis Supe

“…This research aims to demonstrate a machine learning (ML) algorithm-based indoor air quality (IAQ) monitoring and forecasting system for a public sector building use case. …”
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An integrative TLBO-driven hybrid grey wolf optimizer for the efficient resolution of multi-dimensional, nonlinear engineering problems by Harleenpal Singh, Sobhit Saxena, Himanshu Sharma, Vikram Kumar Kamboj, Krishan Arora, Gyanendra Prasad Joshi, Woong Cho

“…It is also faster, more accurate and reliable when compare to other existing optimization algorithms. …”
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Integrated transmission expansion planning incorporating fault current limiting devices and thyristor-controlled series compensation using meta-heuristic optimization techniques by Abdulaziz Almalaq, Khalid Alqunun, Rabeh Abbassi, Ziad M. Ali, Mohamed M. Refaat, Shady H. E. Abdel Aleem

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