Current Problems of Applied Mathematics and Computer Systems: Cpamcs 2024
暫譯: 應用數學與計算機系統的當前問題：Cpamcs 2024

本書基於在俄羅斯舉行的當前應用數學與計算機系統國際會議（CPAMCS-2024）上接受發表的最佳論文。這本書包含了針對當代數學挑戰及其在科學計算、數據分析和模組計算中的解決方案的研究。書中呈現了有關科學計算中的數值方法、優化問題解決、函數逼近技術等主題的原創研究。此外，它還涵蓋了數據分析和模組計算的研究貢獻，突顯了在深度學習、神經網絡、數學統計、機器學習技術、殘差數字系統和人工智慧方面的進展。此外，本書還探討了數學教育中的關鍵問題。本書旨在為從事科學計算、並行計算、計算機技術、機器學習、資訊安全和數學教育的專業人士提供參考。

Anatoly Alikhanov has obtained his Ph.D. in Physical and Mathematical Sciences and currently holds the position of Professor, Vice-Rector for Scientific and Research Work and the Head of the Regional Scientific and Educational Mathematical Center "North Caucasian Center for Mathematical Research" at North-Caucasus Federal University, Stavropol, Russia. Alikhanov has an extensive publication record, with publications in high-ranked journals. His academic excellence has been recognized in "The Single Recent Year Data Ranking of World's Top 2% Scientists," compiled by Stanford University, for the years 2019 through 2023. He previously served as a Visiting Member of the Dissertation Council at the Department of Mathematics, Southeast University, Nanjing, China. In 2016 and 2023, he was invited to undertake internships at Nanjing University, focusing on numerical methods for solving fractional differential equations. Dmitrii Kaplun is Ph.D. (2009), Associate Professor (2015), Lead Researcher at Saint Petersburg Electrotechnical University "LETI" (Saint Petersburg, Russia), Full Professor (2023) at China University of Mining and Technology (Xuzhou, China). In 2009 he defended his PhD thesis in computer science at Saint Petersburg Electrotechnical University "LETI." The current research and academic work are related to digital signal and image processing, embedded and reconfigurable systems, computer vision and machine learning. Author of more than 150 papers in journals and conference proceedings. Kaplun has been an Editorial Board Member for Scientific Reports since 2022 and Associate Editor for Industrial Artificial Intelligence journal since 2023.

Pavel Lyakhov received the degree in mathematics from Stavropol State University, in 2009, and the Ph.D. degree in physical and mathematical sciences, in 2012. Currently, he is the Head of the Department of Mathematical Modeling, North-Caucasus Federal University. He is the author of more than 170 scientific articles and the holder of 28 copyright certificates and patents. His research interests include high-performance computing, residual class system arithmetic, machine learning, artificial intelligence, and medical imaging.
Aslan Apekov has obtained his Ph.D. in Physical and Mathematical Sciences. He is the Deputy Director for Research at the North-Caucasus Center for Mathematical Research and the Head of the Computational Methods Department at the North-Caucasus Federal University. He received a PhD in Condensed Matter Physics. He supervised applied research on the topic of Development and Study of Image Reconstruction Methods for a Multifunctional X-ray Diagnostic Complex with Digital Tomosynthesis Function. His research interests include the physics of interphase phenomena, mathematical modeling of physical processes, and computational physics.

Irina Samoylenko is Ph.D., Associate Professor at Informational Systems Department, Stavropol State Agrarian University, Russia. She received M.S. degree in Applied Mathematics and Informatics, Ph.D. in System Analysis, Control and Processing of Information in North-Caucasus Federal University. She is a member of Association of Scientific Editors and Publishers, Russia. She participated in international conferences and internships in Italy, Turkey, Romania, Serbia and Czech Republic. Her research interests include wireless sensor networks, optimization tasks, IoT in agriculture. Irina has been an Editor of various international conferences from publishing houses including Springer, Institute of Physics, American Institute of Physics etc. She has publications in reputed international journals, such as Ad-Hoc, Computers and Electronics in Agriculture, Computer Communications.

安納托利·阿利哈諾夫（Anatoly Alikhanov）獲得物理與數學科學的博士學位，目前擔任俄羅斯斯塔夫羅波爾北高加索聯邦大學的教授、科研工作副校長及「北高加索數學研究中心」的負責人。阿利哈諾夫擁有豐富的出版紀錄，並在高排名的期刊上發表過多篇論文。他的學術卓越在斯坦福大學編制的「全球前2%科學家單一最近年度數據排名」中得到了認可，涵蓋2019年至2023年。他曾擔任中國南京東南大學數學系的論文委員會訪問成員。2016年和2023年，他受邀在南京大學進行實習，專注於解決分數微分方程的數值方法。德米特里·卡普倫（Dmitrii Kaplun）於2009年獲得博士學位，2015年成為副教授，並在俄羅斯聖彼得堡電氣工程大學（LETI）擔任首席研究員，2023年成為中國礦業大學（徐州）的全職教授。他於2009年在聖彼得堡電氣工程大學（LETI）捍衛了計算機科學的博士論文。目前的研究和學術工作與數字信號和圖像處理、嵌入式和可重構系統、計算機視覺和機器學習有關。他是超過150篇期刊和會議論文的作者。自2022年以來，卡普倫一直擔任《科學報告》的編輯委員會成員，並自2023年起擔任《工業人工智慧》期刊的副編輯。

帕維爾·利亞霍夫（Pavel Lyakhov）於2009年獲得斯塔夫羅波爾國立大學的數學學位，並於2012年獲得物理與數學科學的博士學位。目前，他是北高加索聯邦大學數學建模系的系主任。他是超過170篇科學文章的作者，並擁有28項著作權證書和專利。他的研究興趣包括高效能計算、餘類系統算術、機器學習、人工智慧和醫學影像。阿斯蘭·阿佩科夫（Aslan Apekov）獲得物理與數學科學的博士學位。他是北高加索數學研究中心的研究副主任及北高加索聯邦大學計算方法系的負責人。他獲得了凝聚態物理的博士學位，並指導了關於多功能X光診斷複合體的影像重建方法的應用研究，該複合體具備數位斷層合成功能。他的研究興趣包括相界現象的物理學、物理過程的數學建模和計算物理學。

伊琳娜·薩莫伊連科（Irina Samoylenko）是俄羅斯斯塔夫羅波爾國立農業大學資訊系的副教授，擁有博士學位。她在北高加索聯邦大學獲得應用數學與資訊學的碩士學位，以及系統分析、控制與資訊處理的博士學位。她是俄羅斯科學編輯和出版協會的成員，曾參加在意大利、土耳其、羅馬尼亞、塞爾維亞和捷克共和國舉辦的國際會議和實習。她的研究興趣包括無線感測器網路、優化任務和農業中的物聯網。伊琳娜曾擔任多個國際會議的編輯，出版商包括施普林格（Springer）、物理學會（Institute of Physics）、美國物理學會（American Institute of Physics）等。她在知名國際期刊上發表過多篇論文，如《Ad-Hoc》、《Computers and Electronics in Agriculture》、《Computer Communications》。