ARTIFICIAL INTELLIGENCE AS A TECHNOLOGICAL BASIS OF THE DEVELOPMENT OF BANKS by A. Berdyshev

“…Thanks to the development of machine learning, artificial intelligence and cognitive computing, banks can more quickly process huge amounts of information, build more accurate models that can anticipate the needs of customers, create personalized offers and automate their services. …”
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Approximate Hamiltonian Symmetry Groups and Recursion Operators for Perturbed Evolution Equations by M. Nadjafikhah, A. Mokhtary

“…Indeed, as a main consequence, this extended procedure is applied in order to compute the approximate conservation laws and approximate recursion operators corresponding to these types of equations. …”
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Laparoscopic Repair of a Ureteric Sciatic Hernia: Report of a Case by Yasuo Tsuzaka, Kazuhiro Saisu, Nobuo Tsuru, Yukio Homma, Hiroyuki Ihara

“…Here we report a case of a 78-year-old woman presented with colicky left abdominal pain. Computed tomography revealed a ureteric sciatic hernia, and drip infusion pyelography revealed dilated left ureter with herniation of the ureter into the sciatic foramen. …”
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Research of the Profile Surface Equation of Globoidal Indexing Cam based on Unified Mathematical Expression by Li Jian, Rao Xiong, Tang Mao, Deng Yuanyuan, Xiong Meiling

“…A foundation for the derivation of the expression of pressure angle and main curvature is laid,and a reference for computer aided design and manufacture of spatial cams is provided.…”
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A feature selection and scoring scheme for dimensionality reduction in a machine learning task by PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses

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Malaria prevalence and patients’ knowledge, attitude, and preventive practices toward the disease in the Jawi District, Awi Zone, Northwest Ethiopia by Mekete Damen, Damtew Bekele, Fikru Gashaw

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Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application by Xiaolei Zhou, Xingyue Wang, Ruifeng Guo

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Rethinking Exploration and Experience Exploitation in Value-Based Multi-Agent Reinforcement Learning by Anatolii Borzilov, Alexey Skrynnik, Aleksandr Panov

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The Radiation Problem from a Vertical Hertzian Dipole Antenna above Flat and Lossy Ground: Novel Formulation in the Spectral Domain with Closed-Form Analytical Solution in the High... by K. Ioannidi, Ch. Christakis, S. Sautbekov, P. Frangos, S. K. Atanov

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An Improved Multiobjective Quantum-Behaved Particle Swarm Optimization Based on Double Search Strategy and Circular Transposon Mechanism by Fei Han, Yu-Wen-Tian Sun, Qing-Hua Ling

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Adaptive period decomposition network with muti-scale temporal variation learning for water level prediction by Hui Wang, LiPing Wang, QiCang Qiu, Yuyan Gao, WenJuan Li, QiuShun Wang

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Survival parametric modeling for patients with heart failure based on Kernel learning by Maryam Montaseri, Mansour Rezaei, Armin Khayati, Shayan Mostafaei, Mohammad Taheri

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Real-Time Cyber-Physical Digital Twin for Low Earth Orbit Satellite Constellation Network Enhanced Wide-Area Power Grid by Tianshi Cheng, Tong Duan, Venkata Dinavahi

“…It features a data-centric design using an ECS framework with a structure-of-arrays memory layout, optimizing cache efficiency and computational performance, and offers high extensibility for interdisciplinary simulations. …”
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Machine and deep learning performance in out-of-distribution regressions by Assaf Shmuel, Oren Glickman, Teddy Lazebnik

“…Machine learning (ML) and deep learning (DL) models are gaining popularity due to their effectiveness in many computational tasks. These models are based on an intuitive, but frequently unsatisfied, assumption that the data used to train these models is well-representing the task at hand. …”
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Think4SCND: Reinforcement Learning With Thinking Model for Dynamic Supply Chain Network Design by Pan Li, Shaochen Ren, Qun Zhang, Xuran Wang, Yang Liu

“…Extensive experiments on both synthetic and real-world datasets show that Think4SCND significantly outperforms state-of-the-art baselines, achieving near-optimal solutions with a fraction of the computational cost. The framework demonstrates superior adaptability to disruptions and strong generalization capabilities, successfully transferring knowledge from medium-sized problems to larger, unseen instances.…”
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Mental imagery in the context of online compulsive buying-shopping disorder: The role of pleasure and relief by Annika Brandtner, Matthias Brand, Astrid Müller

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Historical Blurry Video-Based Face Recognition by Lujun Zhai, Suxia Cui, Yonghui Wang, Song Wang, Jun Zhou, Greg Wilsbacher

“…Face recognition is a widely used computer vision, which plays an increasingly important role in user authentication systems, security systems, and consumer electronics. …”
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Analysis and Classification of Mobile Apps Using Topic Modeling: A Case Study on Google Play Arabic Apps by Ahlam Fuad, Maha Al-Yahya

“…However, manual analysis of this vast amount of information on mobile apps is not a simple and straightforward task; it is costly in terms of human effort and time. Computational methods such as topic modeling can provide an efficient and satisfactory approach to mobile app information analysis. …”
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Dynamic Conjugate Gradient Unfolding for Symbol Detection in Time-Varying Massive MIMO by Toluwaleke Olutayo, Benoit Champagne

“…While conventional detection techniques either exhibit subpar performance or impose excessive computational burdens in such systems, learning-based methods which have shown great potential in stationary scenarios, struggle to adapt to non-stationary conditions. …”
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Load Balancing for Integrated Access and Backhaul in mmWave Small Cells by Quang-Huy Tran, Tho-Minh Duong, Sungoh Kwon

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