SVIT‐SSR: A sEMG‐based vision transformer approach for silent speech recognition by Zhao Li, Bin Ma, Weifan Mao, Jianxing Zhang, Zhuting Yu, Yizhou Lu

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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…According to the operational process of the algorithm given by this paper, a series of experiments are designed to validate the algorithm’s effectiveness. …”
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Techniques for displaying optically distorted sculpture (anamorphic sculpture) in contemporary art by Athraa Saeed Mansour, Ihab Ahmed Abdel Reda

“…The fourth chapter included a set of research results and conclusions, including: - Contemporary sculptors relied on algorithms and mathematical equations as one of the techniques that enabled them to create distorted subterranean formations. …”
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Action Recognition, Tracking, and Optimization Analysis of Training Process Based on SVR Model and Multimedia Technology by Xuejiao Zhong

“…Experimental results: the comparison of SVR1 and SVR2 shows that the utilization of multiscale timing feature maps should occur after tem (SVR2) rather than being directly fused in the feature dimension (SVR1), mainly because small-scale information affects the resolution of large-scale information; on data sets such as ActivityNet, in order to verify the effectiveness of SVR and DR-Dvc algorithms, the performance of the proposed algorithm and the baseline before improvement and the current mainstream algorithm are respectively compared. …”
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Utilizing UAVs in Wireless Networks: Advantages, Challenges, Objectives, and Solution Methods by Mohammad Javad Sobouti, Amirhossein Mohajerzadeh, Haitham Y. Adarbah, Zahra Rahimi, Hamed Ahmadi

“…Additionally, we discuss the main methods and algorithms employed for UAV placement and trajectory optimization. …”
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Practical aspects of managing patients with cardiogenic shock by M. M. Novosadov, V. M. Novosadov, O. N. Dzhioeva, O. M. Drapkina

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The use of artificial intelligence in the HR processes of logistics companies by Adam Panek

“…Does the implementation of AI in the HR of logistics companies have only positive effects? Research methods The paper uses case study analysis and literature data as the main research methods. …”
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Glasgow Coma Scale: Linguistic-Cultural Adaptation of the Russian Version by M. A. Piradov, N. A. Suponeva, Yu. V. Ryabinkina, E. V. Gnedovskaya, K. A. Ilyina, D. G. Yusupova, A. A. Zimin, L. A. Legostaeva, E. G. Yazeva, I. S. Bakulin, A. B. Zaitsev, N. V. Polekhina, P. Bundhun, N. M. Ramchandani, V. Y. Samorukov, M. A. Domashenko

“…During the pilot testing of the researchers did not have difficulties in understanding and interpreting instructions. …”
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Treatment patterns, outcomes and healthcare resource utilization of obstructive hypertrophic cardiomyopathy in England by Faizel Osman, Carla L. Zema, Michael Hurst, Belinda Sandler, Florence Brellier, Ovie Utuama, Oksana Kirichek, John Houghton, Teresa Lemmer, Maite Tome Esteban

“…Owing to the paucity of NYHA coding, patients with obstructive HCM and no record of NYHA class were assigned a proxy NYHA classification using an algorithm that considered patient symptoms and treatments. …”
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Characteristics of <i>Vibrio cholerae</i> O1 CTX⁺ Strain Isolated from the Temernik River in Rostov-on-Don in 2023 by E. V. Monakhova, V. D. Kruglikov, A. S. Vodop’yanov, Ya. M. Krasnov, S. D. Katyshev, N. A. Sharapova, L. P. Alekseeva, E. A. Men’shikova, V. V. Evdokimova, M. I. Ezhova, A. K. Noskov

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Detecting House of Spirit Attacks by Glibc Heap Information Extraction by ZHAI Jiqiang, WANG Jiaqian, HAN Xu, SUN Haixu

“… The current forensic research on heaps mainly extracts information from the heap and the NT heap of Windows. …”
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Optimization of the Enterprise Human Resource Management Information System Based on the Internet of Things by Haiqiu Li

“…An in-depth investigation and research are launched mainly on the enterprise demand to determine the functional requirements and performance requirements of the enterprise and to achieve the basic logical structure; in the system design phase, the system architecture and other aspects of the design are realized. …”
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Using fishery-related data, scientific expertise, and machine learning to improve marine habitat mapping in northeastern Mediterranean waters by Loukas Katikas, Sofia Reizopoulou, Paraskevi Drakopoulou, Vassiliki Vassilopoulou

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Automated Semantic Segmentation of Arctic Surface Water Features with Very-High Resolution Satellite X-Band Radar Imagery and U-Net Deep Learning: Segmentation sémantique automatis... by Michael Allan Merchant, Masoud Mahdianpari, Laura Bourgeau-Chavez, Ben DeVries, Aaron Berg

“…Within this study, we also quantitatively compared the deep learning (DL) U-Net to a shallow machine learning (ML) algorithm, XGBoost (XGB), and evaluated the Capella Space imagery against spatially and temporally coincident Sentinel-1 C-band. …”
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Approaches to Interstate Interaction of Circumpolar Countries in the Development of the Arctic by N. I. Didenko, D. F. Skripnuk, N. A. Konakhina

“…Purpose: is to suggest recommendations on the problems of cooperation of circumpolar countries in the Arctic based on the analysis and accumulates the existing economic concepts of interstate interaction.Methods: the work used the methods of classification, induction and deduction, generalization, structuring, statistical and logical analysis, system analysis, algorithmization. The research is based on the using the elements of empirical and theoretical methods for economic reality research.Results: the study presents the development of theoretical approaches to issues of interstate interaction in existing economic schools. …”
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Cross-validations of the Aeolus aerosol products and new developments with airborne high-spectral-resolution lidar measurements above the tropical Atlantic during JATAC by D. Trapon, H. Baars, A. A. Floutsi, S. Bley, M. Haarig, A. Lacour, A. Lacour, T. Flament, T. Flament, A. Dabas, A. R. Nehrir, F. Ehlers, F. Ehlers, D. Huber

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Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach by Mar Roca, Chengfa Benjamin Lee, Avi Putri Pertiwi, Alina Blume, Isabel Caballero, Gabriel Navarro, Dimosthenis Traganos

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Tomographic SAR imaging via generative adversarial neural network with cascaded U‐Net architecture by Jie Li, Kun Wang, Zhiyuan Li, Bingchen Zhang, Yirong Wu

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Explainable artificial intelligence visions on incident duration using eXtreme Gradient Boosting and SHapley Additive exPlanations by Khaled Hamad, Emran Alotaibi, Waleed Zeiada, Ghazi Al-Khateeb, Saleh Abu Dabous, Maher Omar, Bharadwaj R.K. Mantha, Mohamed G. Arab, Tarek Merabtene

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Spectrum Efficient Resource Allocation of NOMA Downlink System With MMSE Receiver by Rui Zhu, Jianxin Guo, Feng Wang, Baoqin Lin, Yarong Chen

“…To make the research more objective and comprehensive, we evaluate the SE performance of NOMA with perfect SIC (pSIC) and CSI (pCSI) by adopting the first-order approximation iteration (FOAI) algorithm firstly. …”
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