Enhanced Noise Suppression in Partial Discharge Signals via SVD and VMD with Wavelet Thresholding by Hailong Wang, Yongliang Yao, Guangdong Zhang, Jidong Pan, Longlong Gao, Hai Jin, Chuang Wang

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Comparison Study for Three Compression Techniques (Wavelet, Contourlet and Curvelet Transformation) by Shahad Sulaiman, Hadia Abdullah

“…In this research, the lossy compression method was adopted as one of the solutions that reduce the size of the data required to compress the image, through the process of compression of digital image data using Discrete Wavelet Transform algorithms using Haar filter, and Contourlet. …”
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CLUSTER AND CONJOINT ANALYSIS FOR DETERMINING ONLINE SHOP SHOPEE CUSTOMERS PREFERENCE BASED ON E-SERVICE QUALITY by Dimas Nurwinata Rinaldi, Fahriza Nurul Azizah, Candra Galang Gemilang Putra

“…Customer preference is one of the main factors in shaping a business strategy. This research discusses the use of cluster analysis to segment Shopee's e-commerce customers based on sociodemographic characteristics with k-means algorithm and conjoint analysis to determine which e-service quality attributes are most important to each cluster. …”
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Numerical Simulation Study on Compression Characteristics of Gravelly Soil Mixture Based on Soft Servo Method by Yu Ning, Qingfu Huang, Chong Shi, Qingxiang Meng

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Optimization of Allocation and Launch Conditions of Multiple Missiles for Three-Dimensional Collaborative Interception of Ballistic Targets by Burak Yuksek, N. Kemal Ure

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A Modified Active Appearance Model Based on an Adaptive Artificial Bee Colony by Mohammed Hasan Abdulameer, Siti Norul Huda Sheikh Abdullah, Zulaiha Ali Othman

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Modeling and Control of Permanent Magnet Synchronous Motor Based Electric Vehicle by Rajesh G., K. Sebasthirani

“…This study provides a comprehensive examination of the modeling and control of Permanent Magnet Synchronous Motors (PMSM) utilized in electric vehicle applications. The research focuses on the design and optimization of Fractional Order PID (FOPID) controllers, leveraging Genetic Algorithm (GA) and Hybrid Reinforcement Genetic Algorithm-Recursive Backpropagation Learning (GA-RBL) techniques to enhance tuning performance. …”
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Facial recognition and analysis: A machine learning-based pathway to corporate mental health management by Zicheng Zhang, Tianshu Zhang, Jie Yang

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Tanner crab at southwestern Kamchatka: fishing, stock condition and specifics of the assessment by Р. Yu. Ivanov

“…Results of the current stage of research on tanner crab at the southwestern coast of Kamchatka, harvested in the Kamchatka-Kuril fishing subzone are presented. …”
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Application of novel security technique in cloud environment using attribute dependent authentication for health care by D. Deena Rose, C. Agees Kumar

“…To achieve better key security, the Strong key dependent Subkey Generation Algorithm (SKSGA) is proposed. A new Matrix based encryption algorithm (M-EA), is proposed in this research, for quick computational processing, effective and reliable data storage in the cloud. …”
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Designing a Multi-Objective Closed-loop Supply Chain Mathematical Model with Supplier Selection Approach and considering Discount by Esmat Saadi, kiamars fathi, Reza Radfar

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Precast concrete component yard layout optimization considering safety and efficiency by Yekun Tan, Dehu Yu, Shujuan Yang, Tongtong Gai, Chunhui Wang

“…Moreover, the surplus rectangle algorithm is used to calculate the yard sizes, which are input into the model in alternative ways. …”
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A comprehensive survey of imbalanced learning methods for bankruptcy prediction by Tuong Le

“…Bankruptcy prediction is of particular research interest due to the current economic upheaval. …”
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User-Centric Federated Learning: Trading off Wireless Resources for Personalization by Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li

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Robust Design Optimization of Viscoelastic Damped Composite Structures Integrating Model Order Reduction and Generalized Stochastic Collocation by Tianyu Wang, Chao Xu, Teng Li

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Exploring New Boundaries to Mitigate Structural Vibrations of Bridges in Seismic Regions: A Smart Passive Strategy by Giuseppe Maddaloni, Nicola Caterino, Gianluca Nestovito, Antonio Occhiuzzi

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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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Minangkabau Language Stemming: A New Approach with Modified Enhanced Confix Stripping by Fadhli Almu'iini Ahda, Aji Prasetya Wibawa, Didik Dwi Prasetya, Danang Arbian Sulistyo, Andrew Nafalski

“…Complex affixation patterns in Indonesian and regional languages such as Minangkabau pose considerable difficulties for traditional algorithms. This research adopts the enhanced fixed-stripping method to tackle these issues by integrating linguistic characteristics unique to Minangkabau. …”
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Approximation of Solutions of Split Monotone Variational Inclusion Problems and Fixed Point Problems by Francis O. Nwawuru

“…Many researchers have incorporated an inertial term and will continue to involve it in iterative algorithms due to the fact that it speeds up the rate of convergence which is desirable in applications. …”
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An improved electrocardiogram arrhythmia classification performance with feature optimization by Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

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