Multi-Target Vehicle Tracking Algorithm Based on Improved DeepSORT by Dudu Guo, Zhuzhou Li, Hongbo Shuai, Fei Zhou

“…The optimized tracking algorithm using GIOU achieves effective improvements in tracking precision and accuracy. …”
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The Model of Sports Talent Management in the Field of Track and Fields in the Schools of Iraq by Mohammad Ghazi ahmed, Farzam Farzan, Morteza Dousti

“…The general purpose of this research is to develop a model for managing sports talents in the field of track and field in Iraqi schools. The current research method was qualitative. …”
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Student knowledge tracking based multi-indicator exercise recommendation algorithm by Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG

“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
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Tracking the Economic Benefits Generated by the Hard Clam Aquaculture Industry in Florida by Charles Adams, Leslie Sturmer, Alan Hodges

“…(UF/IFAS photo by Tom Wright). FE961/FE961: Tracking the Economic Benefits Generated by the Hard Clam Aquaculture Industry in Florida (ufl.edu) …”
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Auxiliary Particle Filtering With Multitudinous Lookahead Sampling for Accurate Target Tracking by Praveen B. Choppala, Ramoni Adeogun

“…Through evaluation, we show that the proposed idea overcomes the said problem and exhibits less degeneracy and high tracking accuracy.…”
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Student knowledge tracking based multi-indicator exercise recommendation algorithm by Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG

“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
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Tracking the Economic Benefits Generated by the Hard Clam Aquaculture Industry in Florida by Charles Adams, Leslie Sturmer, Alan Hodges

“…(UF/IFAS photo by Tom Wright). FE961/FE961: Tracking the Economic Benefits Generated by the Hard Clam Aquaculture Industry in Florida (ufl.edu) …”
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Yupana Inka Tawa Pukllay arithmetic eye tracking analysis: novices by Rosario Guzman-Jimenez, Dhavit Prem, Alvaro Saldívar, Eduardo Alejandro Escotto-Córdova

“…This research used eye tracking to study gaze and attention during YITP operations, comparing novices and experts. …”
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Improving esports viewing experience through hierarchical scene detection and tracking by Ho-Taek Joo, Sung-Ha Lee, Insik Chung, Kyung-Joong Kim

“…This approach also improves inference speed, as the tracking model is faster than the detection model. …”
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Research on Tracking Control of Unmanned Mine Trucks Based on Adaptive Preview by HUANG Yaoran, LIU Zhicong, KANG Yuanrong

“…Finally, the optimization function is solved by genetic algorithms (GA), and the optimal preview point is output to the rear wheel feedback controller to realize the optimal control of the vehicle in the global path tracking process. Simulation and real vehicle test results show that when a vehicle starts with an initial lateral error of less than 0.8 m and a yaw angle error of 5°, the adaptive preview tracking control algorithm can achieve a certain degree of deviation-correcting control; the vehicle stops with a lateral error of less than 0.2 m and a yaw angle error of less than 2°, which effectively improves the tracking ability of mine trucks and its adaptability to complex working conditions.…”
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Enabling Eye Tracking for Crowd-Sourced Data Collection With Project Aria by Yusuf Mansour, Ajoy Savio Fernandes, Kiran Somasundaram, Tarek Hefny, Mahsa Shakeri, Oleg V. Komogortsev, Abhishek Sharma, Michael J. Proulx

“…This paper will discuss the systems in place and technical steps we have taken to enable eye tracking for the project, and select lessons learned in the process. …”
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Feedback Tracking Constraint Relaxation Algorithm for Constrained Multi-Objective Optimization by Yuling Lai, Junming Chen, Yile Chen, Hui Zeng, Jialin Cai

“…The entire search process of the algorithm is divided into two stages: In the first stage, the constraint boundaries are adaptively adjusted based on the feedback information from the population solutions, guiding the boundary solutions towards neighboring solutions and tracking high-quality solutions to obtain the complete feasible region, thereby promoting the population to approach the unconstrained Pareto front (UPF). …”
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Graph Attention Neural Network Model With Behavior Features for Knowledge Tracking by Wei Zhang, Sen Hu, Kaiyuan Qu

“…The existing deep knowledge tracking models ignore the students’ behavior features and the high-order relationship between and questions with overlapping skills in the learning process. …”
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A Novel Gaussian Ant Colony Algorithm for Clustering Cell Tracking by Mingli Lu, Di Wu, Yuchen Jin, Jian Shi, Benlian Xu, Jinliang Cong, Yingying Ma, Jiadi Lu

“…Cell behavior analysis is a fundamental process in cell biology to obtain the correlation between many diseases and abnormal cell behavior. …”
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Methodological approaches to the efficient functioning assessment of the modern upper structure track by E. N. Efimova, N. P. Vinogorov, A. A. Shiladzhyan, V. M. Koshelev, D. A. Valov, N. V. Kuznetsova

“…The article covers the approaches to assessing the efficient functioning of the modern upper structure track and aims at developing these approaches in the process of using the track superstructure materials — rails, fasteners, sleepers, ballast — under given operating conditions.Materials and methods. …”
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A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering by Thorsten Roth, Martin Weier, André Hinkenjann, Yongmin Li, Philipp Slusallek

“…This work presents the analysis of data recorded by an eye tracking device in the course of evaluating a foveated rendering approach for head-mounted displays (HMDs). …”
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Development of label-free cell tracking for discrimination of the heterogeneous mesenchymal migration. by Sota Endo, Shotaro Yamamoto, Hiromi Miyoshi

“…Cell migration is a process related not only to cancer but also to tissue healing and growth. …”
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Deep Feature-Based Hyperspectral Object Tracking: An Experimental Survey and Outlook by Yuchao Wang, Xu Li, Xinyan Yang, Fuyuan Ge, Baoguo Wei, Lixin Li, Shigang Yue

“…First, we classify and analyze the trackers based on the framework and tracking process. Second, the trackers are compared and analyzed in terms of tracking accuracy and speed on two datasets for cross-validation. …”
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Visual behavior characteristics of historical landscapes based on eye-tracking technology by Shimeng Hao, Rui Hou, Jie Zhang, Yang Shi, Yisong Zhang, Chen Wang

“…The subjective encounter with architecture encompasses the particular presentation of architectural elements or the overall structure to individuals, taking into account their perception, cognition, and thought processes. The purpose of this research is to investigate the intricate relationship between visual attention directed towards historical architecture and the subjective experiences engendered during the process of observation. …”
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Using dead-reckoning to track movements and map burrows of fossorial species by James Redcliffe, Jesse Boulerice, Itai Namir, Rory Wilson, William J. McShea, Hila Shamon

“…In addition, the 2D dead-reckoning process documented all turns (100%) in our plastic tunnel system and had a mean error of 15.38 cm over all test tunnel lengths of up to 4 m. …”
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