On Toeplitz matrices construction algorithm with a given number of connected components of the limitary spectrum complement^[1] by Svetlana A. Zolotykh

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Frequency coordinated control and parameter optimization for photovoltaic–energy storage systems based on a GA-BP hybrid algorithm by Runzhi Mu, Hongchun Shu, Hongchun Shu, Hongchun Shu, Hongchun Shu, Yuming Zhang, Xiongbiao Wan, Shunji Luo, Shunji Luo, Shunji Luo, Shunji Luo, Zichao Zhou, Guangxue Wang, Guangxue Wang, Guangxue Wang, Guangxue Wang, Shunguang Lei, Shunguang Lei, Shunguang Lei, Shunguang Lei

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Web-Based, Algorithm-Guided Insulin Titration in Insulin-Treated Type 2 Diabetes: Pre-Post Intervention Study by Nishanth Thiagarajan, Hong Chang Tan, Suresh Rama Chandran, Phong Ching Lee, Yun Ann Chin, Wanling Zeng, Emily Tse Lin Ho, David Carmody, Su-Yen Goh, Yong Mong Bee

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Comparative analysis of phenotypes features in two common genetic variants of limb-girdle muscular dystrophy by I. V. Sharkova, E. L. Dadali, I. V. Ugarov, O. P. Ryzhkova, A. V. Polyakov

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Artificial Intelligence and Architectural Design Before Generative AI: Artificial Intelligence Algorithmics Approaches 2000–2022 in Review by Ana Cocho‐Bermejo

“…Through a Bibliometric review of publications indexed in Scopus, Web of Science, and CumInCAD, the research examines the adoption of specific algorithmic approaches: Genetic Algorithms (GAs), Artificial Neural Networks (ANNs), and Agent‐Based Systems(ABS). …”
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A practical guide to UAV-based weed identification in soybean: Comparing RGB and multispectral sensor performance by Kelvin Betitame, Cannayen Igathinathane, Kirk Howatt, Joseph Mettler, Cengiz Koparan, Xin Sun

“…In this research, a field study was conducted using a support vector machine classification algorithm and object-based image analysis in ArcGIS Pro to examine the impact of sensor choice on weed type differentiation. …”
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Energy Efficiency in Smart Buildings through Prediction modeling and Optimization Using a Modified Whale Optimization Algorithm by El Assri Nasima, Ennejjar Mohammed, Jallal Mohammed Ali, Chabaa Samira, Zeroual Abdelouhab

“…This paper presents a comparative study on the prediction of energy consumption in buildings using machine learning techniques. …”
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Comparing approaches to ordering peanut component–resolved diagnostics to reduce the need for oral food challenges by Raymond Mak, MD, Edmond S. Chan, MD, Michael Irvine, PhD, Jia Yi Huang, MSC, James Hethey, MD, Sheila Hartstein, MD, Li Wang, MD

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Comparative Analysis of Reinforcement Learning Approaches for Multi-Objective Optimization in Residential Hybrid Energy Systems by Yang Xu, Yanxue Li, Weijun Gao

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YOLO: A Competitive Analysis of Modern Object Detection Algorithms for Road Defects Detection Using Drone Images by Amit Hasan Sadhin, Siti Zaiton Mohd Hashim, Hussein Samma, Nurulaqilla Khamis

“…   Efficient identification of road defects is a critical concern for road safety and infrastructure upkeep. This research employs drone-captured imagery and advanced object detection algorithms to expedite defect recognition, with a specific focus on determining the optimal algorithm for prompt and precise detection. …”
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RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network by Jiaping Shen, Haiting Zhou, Muda Jin, Zhongping Jin, Qiang Wang, Yanchun Mu, Zhiming Hong

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Scheduling on tractor and trailer transportation considering the influence of disrupted events based on the contract net and simulated annealing algorithm by Qi Xu, Yongmei Zhong, Hailun Deng, Xiang Wang, Xingyue Chen

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Optimization of Switching Control and Microgrid Energy Management System with Alternate Arm Converter Based on Bacterial Foraging Algorithm by S. T. Rama, V. Rajini

“…Also, a comparative analysis is performed based on the spectral analysis of the output voltage obtained. …”
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A harmonic current detection algorithm for aviation active power filter based on generalized delayed signal superposition by Yong Lu, Bohan Li, Guofei Teng, Zhen Zhang, Xianfeng Xu

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Optimizing Personalized Recommender Systems for Teachers’ Digital Learning Models Using Deep Learning Algorithms by Jun Zhong, Wenjuan Zhang

“…Additionally, a graph convolutional neural network (GCN) is employed, leveraging the sequential relationships between subject knowledge points to automatically capture semantic information from the higher-order structure of knowledge points, thereby enabling personalized recommendations. The algorithm achieved an accuracy of 85.7% through comparative experiments. …”
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Optimized stress-strain modeling of eco-friendly fiber-reinforced concrete members using meta-heuristic algorithms by Sawsan Akram Hassan, Mahir M. Hason, Ammar N. Hanoon, Ali A. Abdulhameed

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Predicting Ocean Current Temperature Off the East Coast of America with XGBoost and Random Forest Algorithms Using Rstudio by Lulut Alfaris, Anas Noor Firdaus, Ukta Indra Nyuswantoro, Ruben Cornelius Siagian, Aldi Cahya Muhammad, Rohana Hassan, Rodulfo T. Aunzo, Jr., Reza Ariefka

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A hybrid genetic tabu search algorithm based on a multi-operation joint movement neighborhood structure for job shop scheduling problems by Lei Wang, Kongfu Hu, Jingcao Cai, Long Cheng, Yuan Xiong, Jiawei Ren, Qiangqiang Xia

“…The job shop scheduling problem (JSP) is a critical issue in the field of production and manufacturing, and it holds significant research value. A hybrid genetic tabu search algorithm (HGTSA) is introduced, which combines the global search ability of the genetic algorithm (GA) and the local search ability of the tabu search (TS), with the goal of minimizing makespan. …”
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An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISE Dataset for Software Defect Prediction by Agung Fatwanto, Muh Nur Aslam, Rebbecah Ndugi, Muhammad Syafrudin

“…This study is comparative descriptive research. It follows a positivist (quantitative) approach. …”
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Research on Fault Diagnosis of Traction Power Supply System Based on PSO-LSSVM by Lei ZHANG

“…A variety of fault diagnosis models were used for comparative analysis. The research results showed that the PSO-LSSVM fault diagnosis model based on PCA algorithm has high recognition efficiency and accuracy.…”
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