Research on strategies for enhancing drug knowledge dissemination on Chinese social media WeChat public accounts based on text mining technology by Xihui Yu, Xiaotong Chen, Xia Yan, Xuejun Wu, Yizhi Zhang, Xiajiong Luo, Weihao Ma, Hongbo Fu, Yaofeng Zhang

“…The public’s interest in topics changed from drug side effects to practical drug usage issues, as seen by the keyword time series graph.ConclusionPharmaceutical professionals may more effectively discover hot themes in the industry by combining the TF-IDF algorithm with VOSviewer visualization analysis and LDA and BERTopic in the text mining. …”
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Inter-Object Navigation of Unmanned Aerial Vehicles to Increase the Efficiency and Accuracy of Inspection of Power Lines by Tymochko O., Fustii V., Kolesnyk G., Olizarenko S., Kalashnyk G., Kulish R., Tymoschuk O., Galinskji D.

“…The direction for further research is to improve the ant algorithm.…”
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In the New Multimedia Era, “Post-90s” Counselors Do a Good Job of Adaptive Education Path Research for “Post-00s” Freshmen by Ting Wang

“…This paper introduces the research status of ant colony algorithm and the existing path planning algorithms and space planning methods. …”
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Generation of Structural Components for Indoor Spaces from Point Clouds by Junhyuk Lee, Yutaka Ohtake, Takashi Nakano, Daisuke Sato

“…Subsequently, the inside and outside of the indoor model are classified using a graph-cut algorithm. Finally, indoor models with watertight meshes are generated via dual contouring and mesh refinement. …”
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Behaviour recognition of housed sheep based on spatio-temporal information by Lina Zhang, Bin Zhao, Chunming He, Fan Yang, Jue Zhang

“…Firstly, video acquisition of housed sheep is carried out, and sheep detection and tracking is implemented based on the YOLOv5 coupled with a Deep-SORT algorithm, which detects sheep from the flock and labels their identity information; then, sheep posture estimation is done based on the Alphapose algorithm, which estimates the keypoints in the skeleton; finally, the detected keypoints are inputted into the trained spatio-temporal graph convolutional network model, and the spatio-temporal graph constructed from the keypoints and edge information is used for sheep behavior recognition. …”
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A Review of Recipe Recommendation Methods by Yao Wu, Ling Kang, Quan Guo, Lei Zhao

“…The investigation into recipe recommendation methodologies primarily encompasses three key aspects: Firstly, it introduces fundamental concepts related to food computing and recommendation systems, delineates the specific research focus on recipe recommendations, and categorizes these algorithms into five distinct types: content-based methods, collaborative filtering-based methods, hybrid approaches, graph-based techniques, and nutrition- and health-oriented recommendation strategies. …”
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TraitBertGCN: Personality Trait Prediction Using BertGCN with Data Fusion Technique by Muhammad Waqas, Fengli Zhang, Asif Ali Laghari, Ahmad Almadhor, Filip Petrinec, Asif Iqbal, Mian Muhammad Yasir Khalil

“…The advancement of machine learning algorithms in multiple fields also attracted the attention of Automatic Personality Prediction (APP). …”
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Peculiarities of the pedagogical situation at the training of bachelors on the direction 08.03.01 «Construction» on the example of discipline of specialization by Nelli I. Taraseeva

“…For the efficient operation of the system “lecturer” – “student” it is necessary to have highly qualified lecturers and modern material and technical equipment for the educational process.The goal of this work is to perform the analysis of the current teaching situation; on the example of the profile discipline to develop a learning algorithm and its implementation in accordance with the laws of the didactics of Bachelors in 08.01.03 construction direction “Highways”.Materials and methods: the methods of research consist in studying the basics of Didactics (learning theory) with positions of interdisciplinary areas of knowledge, such as general theory and graph sys tems, familiarizing with the functioning laws of the learning process, pedagogical technologies of domestic and foreign researchers. …”
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Data-Driven Insights into the Association Between Oxidative Stress and Calcium-Regulating Proteins in Cardiovascular Disease by Namuna Panday, Dibakar Sigdel, Irsyad Adam, Joseph Ramirez, Aarushi Verma, Anirudh N. Eranki, Wei Wang, Ding Wang, Peipei Ping

“…By leveraging a link prediction algorithm, our research illuminates the interactions between Ca²⁺-regulating proteins, OS, and CVDs. …”
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Optimization of structural parameters by using steels of different strengths by A. K. Yusupov, H. M. Muselemov, R. I. Vishtalov

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Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering by Wei Zhang, Zhixiang Dai, Taiwu Xia, Gangping Chen, Yihua Zhang, Jun Zhou, Cui Liu

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A point cloud analysis method for high-voltage breakdown and creepage inside metal-encapsulated system-in-package by Wang Lu, Bai Han, Zeng Yanping, Ding Taojie

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A Hotspot Prediction Scheme Based on Ensemble Learning With Adaptive Beamforming for Virtual Small Cell in 5G Networks by Aws Majeed Ghalib Alawadi, Hadi Seyedarabi, Reza Afrouzian, Javad Musevi Niya

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On the modification of bit-flipping decoder of LDPC-codes by S. S. Gurskiy, N. S. Mogilevskaya

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Design of Ricker Wavelet Neural Networks for Heat and Mass Transport in Magnetohydrodynamic Williamson Nanofluid Boundary-Layer Porous Medium Flow with Multiple Slips by Zeeshan Ikram Butt, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Muhammad Shoaib, Rajesh Kumar, Syed Ibrar Hussain

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Consensus-Based Formation Control for Heterogeneous Multi-Agent Systems in Complex Environments by Xiaofei Chang, Yiming Yang, Zhuo Zhang, Jiayue Jiao, Haoyu Cheng, Wenxing Fu

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Spreading Social Influence with both Positive and Negative Opinions in Online Networks by Jing (Selena) He, Meng Han, Shouling Ji, Tianyu Du, Zhao Li

“…Subsequently, we present a greedy approximation algorithm to address the MPINS selection problem. Finally, to validate the proposed greedy algorithm, we conduct extensive simulations and experiments on random graphs and seven different real-world data sets that represent small-, medium-, and large-scale networks.…”
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APPROACH TO BUILDING A GLOBAL MOBILE AGENT WAY BASED ON Q-LEARNING by Vitalii Martovytskyi, Oleksandr Ivaniuk

“…The purpose of the work is to create an algorithm for planning the route of autonomous mobile systems in space using the Q-learning algorithm. …”
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A spatio-temporal fusion-based approach for multi-dimensional classification of Parkinson’s disease progression using multi-modal dataset by Vinay Kukreja, Vandana Ahuja, Modafar Ati, Hariharan Shanmugasundaram, Murugaperumal Krishnamoorthy, Rishabh Sharma, Abhishek Bhattacherjee

“…Objective: The proposed study pioneered a state-of-the-art Spatio-temporal fusion and prediction (STFP) algorithm model approach that utilizes Graph neural network (GNN) and Temporal convolutional network (TCN) for multi-task classification of PD covering three significant dimensions: disease stage, progression speed, symptom subtype classification. …”
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Application of critical way to time constructing the shortest paths in the transport network in the conditions of interval uncertainty by Ramiz Aliyev Gasumov, Sulhaddin Kamal Gozalov

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