Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction by Ekaprana Wijaya, Moch. Arief Soeleman, Pulung Nurtantio Andono

“…This study lays the groundwork for future research by suggesting the exploration of additional optimization algorithms and more complex neural network architectures to further improve prediction accuracy.…”
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

“… Worldwide, heart attacks, also called myocardial infarctions, are a leading cause of death. …”
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Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport by Wei Zhong, Zhicai Juan, Fang Zong, Huishuang Su

“…This study on urban and rural public transport hub location in a hub-and-spoke network not only reduces the transportation cost of the network but also completes and supplements the location theory of integration of urban and rural public transport.…”
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Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization by Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda, Tora Fahrudin, Rini Handayani

“…Machine learning algorithms are used for classification and regression tasks. …”
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Facial recognition targeted attack algorithm based on multiscale frequency decomposition and meta-learning by CAI Jun, HUANG Tianqiang, ZHENG Aokun, YE Feng, XU Chao

“…This algorithm employed a source facial image to generate high-quality makeup. …”
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A two‐stage algorithm for vehicle routing problem with charging relief in post‐disaster by Qixing Liu, Peng Xu, Yuhu Wu, Tielong Shen

“…To this end, a two‐stage algorithm is developed to deal with the problem. In stage I, a reduced road network is obtained from a leading road network by the A‐star search algorithm. …”
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Improving automated scoring of prosody in oral reading fluency using deep learning algorithm by Kuo Wang, Xin Qiao, George Sammit, Eric C. Larson, Joseph Nese, Akihito Kamata

“…This result provides valuable information for developing future automated scoring algorithms of prosody. This study is an essential demonstration of estimating the prosody score using fewer selected features, which would be more efficient and interpretable.…”
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The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

“…In terms of information gain and feature importance, the optimization model is also outstanding, with the highest information gain of 1.02 and the feature importance maintained at a high level of 0.94 in many dimensions. …”
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Modified Floyd–Warshall’s Algorithm for Maximum Connectivity in Wireless Sensor Networks under Uncertainty by Laxminarayan Sahoo, Supriyan Sen, Kalishankar Tiwary, Sovan Samanta, Tapan Senapati

“…A variety of routing protocols and algorithms exist, each related to a particular set of conditions. …”
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Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

“…The results show that the machine learning based on K-means algorithm makes a concrete analysis of the investment efficiency of Capricorn Smart Investment, this method can also be used for the efficiency analysis of other smart investment products.…”
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LQT-Based Energy-Efficient Control for Intelligent Vehicles Optimized by Adaptive Genetic Algorithm by Xia Hong-Yang, Yang Ming, Luo Jing-Jing, Hong Xi, Xu Wei

“…To simultaneously ensure both lateral control accuracy and energy-saving performance, this study proposes an Adaptive Genetic Algorithm LQT Controller to address the complex parameter tuning of traditional LQT controllers and the lack of feedback dynamic adjustment capability in conventional Genetic Algorithm LQT controllers. …”
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GESC-YOLO: Improved Lightweight Printed Circuit Board Defect Detection Based Algorithm by Xiangqiang Kong, Guangmin Liu, Yanchen Gao

“…This approach not only guarantees detection precision but also enables model lightweighting and a reduction in the number of parameters. …”
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A GA-BP neural network algorithm for fault detection of transmission tower bolts by Ziqiang Lu, Pengjie He, Huiwei Liu, Jie Li, Ziying Lu

“…If not detected and addressed in a timely manner, serious adverse events, such as tower collapse, may occur which will endanger the normal operation of the power system.MethodsBased on this, in order to ensure the normal operation of the transmission tower and improve the identification effect of bolt loosening, the GP-BP neural network algorithm was applied to the detection process. The feasibility of this algorithm was evaluated through the quantitative analysis of different damage degrees.ResultThe results are as follows: 1) except for the average accuracy rate of substructure 7, which is 89.74%, the identification accuracy of other substructures is more than 90%, indicating that the GA-BP neural network algorithm is effective in identifying the single-damage degree of the tower bolt loosening in the main material; 2) the identification accuracy of double-damage substructure is also more than 90%, indicating that the GA-BP algorithm is effective in identifying the double-damage degree of the tower bolt loosening in the main material.ConclusionIn summary, it can be concluded that both the single- and double-damage degree conditions exhibit a relatively considerable recognition accuracy. …”
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THE NUTRI-SCORE SYSTEM FOR FRONT-OF-PACK NUTRITIONAL LABELLING: ALGORITHM UPDATES, BENEFITS, AND RISKS by Anna T. Mikulec, Anna M. Platta

“…In 2024, a revised Nutri-Score algorithm has come into effect, aiming to better reflect current dietary recommendations through changes in product classification. …”
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3-D Moving Target Localization in Multistatic HFSWR: Efficient Algorithm and Performance Analysis by Xun Zhang, Jun Geng, Yunlong Wang, Yijia Guo

“…The target’s velocity can also be estimated due to the inclusion of BRR. In multistatic HFSWR, commonly used azimuth measurements offer no information about the target’s altitude. …”
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Identifying Climate Change Impacts On Hydrological Behavior On Large-Scale With Machine Learning Algorithms by Aleksander M. Ivanov, Artem V. Gorbarenko, Maria B. Kireeva, Elena S. Povalishnikova

“…Clustering and classification algorithms were given eight parameters as a basis for prediction. …”
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A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data by Ren-Jieh Kuo, Maya Cendana, Thi Phuong Quyen Nguyen, Ferani E. Zulvia

“…Therefore, the proposed Multivariate Fuzzy Weighted K-Modes with Probabilistic Distance for Categorical Data (MFWKM-PD) algorithm, based on the multivariate fuzzy K-modes algorithm, not only considers detailed membership calculations but also considers the varying contributions of attributes and their positions in distance calculation. …”
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Why? What? When? Utility of 4DCT in the preoperative imaging algorithm of primary hyperparathyroidism by Swati P. Joshi, Jai Chowdhary, Sanyukta Gupta, Vineet Mishra

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Algorithms for the Extension two Dimensional Fuzzy Signal via Decomposition and Reconstruction in Fuzzy Wavelets by Jean-louis Akakatshi Ossako, Rebecca Walo Omana, Richard Bopili Mbotia, Antoine Kitombole Tshovu

“…Therefore, this low-resolution image is also decomposed into a low-resolution image and a difference image, making more efficient coding possible. …”
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Research on Multi-Objective Evolutionary Algorithms Based on Large-Scale Decision Variable Analysis by Jianing Li, Sijia Xu, Jiaming Zheng, Guoqing Jiang, Weichao Ding

“…Additionally, a dual-population cooperative evolution mechanism is employed, with targeted optimization strategies designed for convergence and diversity populations, achieving synergistic and complementary optimization between the two populations. To validate the algorithm’s effectiveness in practical applications, a large-scale container resource scheduling strategy based on the DVA-TPCEA algorithm is also proposed. …”
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