Adaptive Transformer-Based Deep Learning Framework for Continuous Sign Language Recognition and Translation by Yahia Said, Sahbi Boubaker, Saleh M. Altowaijri, Ahmed A. Alsheikhy, Mohamed Atri

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Robust SAR Change Detection Using Hierarchical Clustering With Adaptive Parameter Tuning by Ahidjo Abdoulaye, Alejandro C. Frery, Mingyang Ma, Shaohui Mei

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Development of a numerical method for solving optimization problems approximation of the function given approximately and its derivatives based on the variational approach by Igor Naats, Victoria Igorevna Naats, Elena Yartseva

“…Research results and their discussion: a possible application of this theory is the problem of computational mathematics associated with the operators of generalized differentiation of summable functions and finding the so-called weak solutions for boundary value problems of mathematical physics. …”
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OGRePy: An Object-Oriented General Relativity Package for Python by Barak Shoshany

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Extraction of exact symbolic stationary probability formulas for Markov chains in finite space with application to production lines. part II: unveiling accurate formulas for very s... by Konstantinos S. Boulas, Georgios D. Dounias, Chrissoleon T. Papadopoulos

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Design and Evaluation of ADANet: A High-Fidelity Motion Acquisition Framework for Assistive Gesture-Based Interfaces by Md Ettashamul Haque, Atique Tajwar, Akm Azad, Salem A. Alyami, Md Mehedi Hasan

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Model for Prediction of Left Ventricular Myocardial Hypertrophy in Patients with Obstructive Sleep Apnea by M. V. Gorbunova, S. L. Babak, V. S. Borovitsky, Zh. K. Naumenko, A. G. Malyavin

“…ESS and TSat90% (AUC = 0.975; SD = 0.00741; CI 95% [0.953; 0.988]) should be considered the best predictors for predicting LVH in various degrees of OSA severity, allowing us to offer a predictive model with a sensitivity of 93.7% and specificity of 93.8%, after conducting a questionnaire screening and computer somnographic study.Conclusions. Our proposed model of clinical prediction of LVH among patients with various degrees of OAS is based on a carefully planned analysis of questionnaire and instrumental data, and is well applicable in real diagnostic procedures by a wide range of therapeutic practitioners.…”
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An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks by Manikandan Rajagopal, Ramkumar Sivasakthivel, G. Anitha, Krishna Prakash Arunachalam, K. Loganathan, Mohamed Abbas, Shaeen Kalathil, K. Srinivas Rao

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GPU‐Accelerated Lattice Boltzmann Simulations of Power‐Law Non‐Newtonian Fluid Flow in a Diagonally Driven Cavity Using D3Q27 MRT‐LBM by Md. Mamun Molla, Amzad Hossain, Md. Mahadul Islam

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NIKOLAY PROKOFYEVICH FEDORENKO: THE EXACT CALCULATION AND FORESIGHT by G. N. Yakovleva, B. F. Bogatikov, E. I. Khabarova

“…He made a large contribution to the chemicalization of the national economy, to the application of modern mathematical methods and computing hardware for economic research, to the planning, management and studying of the theoretical and methodological bases of optimum performance of economy.…”
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Preface of the 2023 Summit of the International Society for the Study of Information by Zhongzhi Shi, Wolfgang Hofkirchner

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Research on the Image Background Base Algorithm Based on the Factor Space Theory by Pengxue Zhang, Xiaoyu Bi

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On Middles and Thirds by Joseph Brenner, Zhensong Wang

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Notes on the Cross-Level Game by Yu Chen

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PageRank of Gluing Networks and Corresponding Markov Chains by Xuqian Ben Han, Shihao Wang, Chenglong Yu

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A New Conjugate Gradient for Efficient Unconstrained Optimization with Robust Descent Guarantees by Hussein Saleem Ahmed

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Advances in Multi-Source Navigation Data Fusion Processing Methods by Xiaping Ma, Peimin Zhou, Xiaoxing He

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A Partitioned IRS-Aided Transmit SM Scheme for Wireless Communication by Liping Xiong, Yuyang Peng, Ming Yue, Haihong Wei, Runlong Ye, Fawaz AL-Hazemi, Mohammad Meraj Mirza

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Rank-Based Family of Probability Laws for Testing Homogeneity of Variable Grouping by Manuel L. Esquível, Nadezhda P. Krasii, Célia Nunes, Kwaku Opoku-Ameyaw, Pedro P. Mota

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Solvability and Nilpotency of Lie Algebras in Cryptography and Steganography by Amor Hasić, Melisa Azizović, Emruš Azizović, Muzafer Saračević

“…In the context of cryptography, we explore their application in public-key infrastructure, secure data verification, and the resolution of commutator-based problems that underpin data protection strategies. …”
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