Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters by Hui Li, Shengwu Xiong, Pengfei Duan, Xiangzhen Kong

“…Video target tracking is a critical problem in the field of computer vision. Particle filters have been proven to be very useful in target tracking for nonlinear and non-Gaussian estimation problems. …”
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A Deep Neural Network-Based Approach for Sentiment Analysis of Movie Reviews by Kifayat Ullah, Anwar Rashad, Muzammil Khan, Yazeed Ghadi, Hanan Aljuaid, Zubair Nawaz

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Enhancing the Cognitive and Learning Skills of Children with Intellectual Disability through Physical Activity and Edutainment Games by Amal Dandashi, Abdel Ghani Karkar, Sawsan Saad, Zaara Barhoumi, Jihad Al-Jaam, Abdulmotaleb El Saddik

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A Novel Compressive Optical Encryption via Single-Pixel Imaging by Chenggong Zhang, Bennian Han, Wenqi He, Xiang Peng, Chen Xu

“…By using random sparse sampling in the encryption process, the plaintext is encrypted and compressed into a noise-like intensity sequence. …”
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Local Outlier Detection Method Based on Improved K-means by Yu ZHOU, Hao XIA, Xuezhen YUE, Peichong WANG

“…The task of outlier detection involves identifying these points and analyzing their potential abnormal information through the analysis of data attribute features. This process aims to uncover unusual patterns or behaviors within the dataset that can provide insights into unique phenomena or anomalies. …”
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“I Became Self-Motivated”: Investigating Chinese Students’ Motivation in Assessed Collaborative Writing Tasks by Wenting Chen, Mingyue Chen

“…This study proposes an assessment scheme considering both products and processes when assessing online writing undertaken collaboratively. …”
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Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm by Atul Vikas Lakra, Sudarson Jena, Kaushik Mishra

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The Algorithm of Treatment Tactics for Patients with Tumor Obstruction of Extrahepatic Bile Ducts by Dutka Ya.

“…Among the instrumental examination ultrasonography, computed tomography, magnetic resonance imaging and endoscopic retrograde cholangiography methods to confirm the diagnosis of tumor of the biliary system were applied. …”
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Rethinking Domain‐Specific Pretraining by Supervised or Self‐Supervised Learning for Chest Radiograph Classification: A Comparative Study Against ImageNet Counterparts in Cold‐Star... by Han Yuan, Mingcheng Zhu, Rui Yang, Han Liu, Irene Li, Chuan Hong

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Ultrasound colonography in visualization of large intestine cancer pathology by N. V. Tumanskaya, A. A. Fedusenko

“…The technique allows to identify oncological process at different stages of it’s development, including early ones, causing minimal discomfort for the patient. …”
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Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model by S. M. Mahim, Md. Shahin Ali, Md. Olid Hasan, Abdullah Al Nomaan Nafi, Arefin Sadat, Shakib Al Hasan, Bryar Shareef, Md. Manjurul Ahsan, Md. Khairul Islam, Md. Sipon Miah, Ming-Bo Niu

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A Comparative Study and Optimization of Camera-Based BEV Segmentation for Real-Time Autonomous Driving by Woomin Jun, Sungjin Lee

“…In the first stage of the process, the three modules for BEV segmentation (encoder, view transformation, and decoder) were selected with the goal of maximizing mIoU performance. …”
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Crack propagation in an energy storage flywheel rotor using finite element method by Ailene B. Nuñez, Aristotle T. Ubando, Jeremias A. Gonzaga, Roy Francis R. Navea, Gil Nonato C. Santos, Wei-Hsin Chen

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Efficient Removal of Sulfamethoxazole in Electro-Oxidation System with Boron-Doped Diamond Anode and Electrolyte NaCl: Degradation Mechanisms by Xinghui Du, Wenxi Xie, Xianhu Long, Dazhen Li, Weixiong Huang, Igor Ying Zhang, Rongfu Huang

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Optimal Operation of High-Speed Trains Using Hybrid Model Predictive Control by Yingze Yang, Zheng Xu, Weirong Liu, Heng Li, Rui Zhang, Zhiwu Huang

“…The high-speed train operation process is highly nonlinear and has multiple constraints and objectives, which lead to a requirement for the automatic train operation (ATO) system. …”
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Transitions of three-charge black hole microstates in the D1D5 CFT by Shaun D. Hampton

“…We compare the resulting amplitude for various initial and final state energies to determine the preferred transition process. This may give hints as to how the dual superstratum geometry may preferentially back-react in this setting.…”
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Dynamical metastability and re-entrant localization of trapped active elements with speed and orientation fluctuations by Manish Patel, Amir Shee, Debasish Chaudhuri

“…We explore the dynamics of active elements performing persistent random motion with fluctuating active speed and in the presence of translational noise in a d-dimensional harmonic trap, modeling active speed generation through an Ornstein-Uhlenbeck process. Our approach employs an exact analytic method based on the Fokker-Planck equation to compute time-dependent moments of any dynamical variable of interest across arbitrary dimensions. …”
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DED: Drift Principle in Educational Evolved Data by Ammar Thaher Yaseen Al Abd Alazeez

“… Clustering data streams is one of the prominent tasks of discovering hidden patterns in data streams. It refers to the process of clustering newly arrived data into continuously and dynamically changing segmentation patterns. …”
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Experiment Analysis of Concrete’s Mechanical Property Deterioration Suffered Sulfate Attack and Drying-Wetting Cycles by Wei Tian, Nv Han

“…The damage evolution law, as well as analysis of the concrete’s meso- and microstructure, was revealed by scanning electron microscope (SEM) and computed tomography (CT) scanning equipment. The results show that the characteristics of concrete differed at each sulfate attack period; the drying-wetting cycles generally accelerated the deterioration process of concrete. …”
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EEG Signal Analysis for Numerical Digit Classification: Methodologies and Challenges by Augoustos Tsamourgelis, Adam Adamopoulos

“…Recently, it has been revitalized as the field of machine learning has been developing, widening its usefulness among a plethora of neurological conditions and in brain–computer interface (BCI) applications. This study delves into the intricate process of classifying EEG signals elicited by the visual stimuli of subjects viewing the digits 0 and 1 and a blank screen. …”
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