Analyzing the neural wave structures in the field of neuroscience by Usman Younas, Jan Muhammad, D. K. Almutairi, Aziz Khan, Thabet Abdeljawad

“…Abstract Soliton theory research has a substantial impact on the application of nonlinear sciences in different fields. …”
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Interactive Viral Marketing Through Big Data Analytics, Influencer Networks, AI Integration, and Ethical Dimensions by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Christos Klavdianos

“…Through its integrative, narrative-driven framework, this study significantly advances interactive marketing theory, providing essential guidance for scholars and practitioners navigating the evolving complexities of digital influence.…”
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All-optical convolutional neural network based on phase change materials in silicon photonics platform by Samaneh Amiri, Mehdi Miri

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Discovery of Novel Natural Inhibitors of H5N1 Neuraminidase Using Integrated Molecular Modeling and ADMET Prediction by Afaf Zekri, Mebarka Ouassaf, Shafi Ullah Khan, Kannan R. R. Rengasamy, Bader Y. Alhatlani

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A Perturbative Approach to the Solution of the Thirring Quantum Cellular Automaton by Alessandro Bisio, Paolo Perinotti, Andrea Pizzamiglio, Saverio Rota

“…By classifying paths within the regimes of very light and very heavy particles, we computed the transition amplitudes in the two- and three-particle sectors to the first few orders. …”
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APG mergence and topological potential optimization based heuristic user association strategy by Zhirui HU, Meihua BI, Fangmin XU, Meilin HE, Changliang ZHENG

“…Methods:The network scalable degree was designed as a measure of scalability,and then a user association strategy to improve network scalable degree was studied by using optimization theory. 1) For modelling the optimization problem, firstly, the network coupling degree, representing the degree of association among nodes, was constructed to establish the mathematical relationship between the network scalable degree and AP group (APG).Thus,the problem of improving the network scalable degree was modeled as the problem of minimizing the network coupling degree.Then,a multi-objective optimization problem of minimum network coupling degree and maximum user rate was established to find the balance between network scalable degree and network service quality. 2) For solving the optimization problem,to avoid the high computational complexity,a heuristic user association strategy based on APG mergence and topological potential optimization was proposed.With the proposed algorithm,the number of APG could be reduced by APG mergence,and the number of APG that AP belongs to could be reduced by AP exiting APG. …”
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Full-Duplex Amplify-and-Forward MIMO Relaying: Design and Performance Analysis Under Erroneous CSI and Hardware Impairments by Omid Taghizadeh, Slawomir Stanczak, Hiroki Iimori, Giuseppe Thadeu Freitas De Abreu

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TS-PAID: A Two-Stage PUF-Based Lightweight Authentication Protocol for Internet of Drones by Shehzad Ashraf Chaudhry, Azeem Irshad, Bander A. Alzahrani, Ahmad Alhindi, Mohd Shariq, Ashok Kumar Das

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Unusual Metal–organic Multicomponent Ni(II) and Mononuclear Zn(II) Compounds Involving Pyridine dicarboxylates: Supramolecular Assemblies and Theoretical Studies by Kamal K. Dutta, Pranay Sharma, Subham Banik, Rosa M. Gomila, Antonio Frontera, Miquel Barcelo-Oliver, Manjit K. Bhattacharyya

“…These non-covalent interactions were further studied theoretically using density functional theory (DFT) calculations, molecular electrostatic potential (MEP) surfaces, non-covalent interaction (NCI) plot index, and quantum theory of atoms in molecules (QTAIM) computational tools. …”
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Neural network technology for identifying defect sizes in half-plane based on time and positional scanning by A. N. Solov'ev, A. V. Cherpakov, P. V. Vasil’ev, I. A. Parinov, E. V. Kirillova

“…MATLAB complex was used as a simulation of the application process (ANN). …”
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Shallow recurrent decoder for reduced order modeling of E × B plasma dynamics by Farbod Faraji, Maryam Reza, J Nathan Kutz

“…Reduced-order models (ROMs) are becoming increasingly important for rendering complex and multiscale spatiotemporal dynamics computationally tractable. …”
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Impact of triangular irregularity, material heterogeneity and initial stress on the propagation of shear waves in a transversely isotropic porous layer by RAVINDER Kumar, Suraj Sharma, Sourav Chandel

“…This research derives the dispersion equation of shear waves utilizing elasticity theory by Biot, combined with perturbation techniques and Fourier transformations. …”
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New Solutions of Breaking Soliton Equation Using Softmax Method by Nguyen Minh Tuan, Phayung Meesad, Nguyen Hong Son

“…Graphical simulations of the resulting wave profiles validate the accuracy and diversity of the solutions and highlight the potential of the method for applications in nonlinear wave theory, soliton dynamics, and computational mathematics. …”
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Topological indices and their correlation with structural properties of carbon nanotube Y-junctions by Khawlah Alhulwah, Ali N.A. Koam, Nasreen Almohanna, Muhammad Faisal Nadeem, Ali Ahmad

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Adaptive dynamic programming optimal tracking control of multi-UAVs based on zero-sum game by Shuaibin Guan, Xingjian Fu

“…This paper investigates an adaptive dynamic programming (ADP) optimal tracking control algorithm for multi-UAV systems based on zero-sum game theory, addressing external disturbances during flight. …”
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Security Authentication Protocol for Underwater Sensor Networks Based on NTRU by Fan Jiang, Ming Xu

“…Preliminary experiments demonstrate that the proposed protocol is more secure and computationally efficient than existing methods. This method satisfies the requirements for defending against node capture and external network attacks, thereby making it suitable for complex and dynamic underwater network scenarios.…”
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Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks. by Rong Wang, Weibin Jiang, Yanjin Shen, Qiqing Yue, Kan-Lin Hsiung

“…Extensive simulations and experiments on real power grid data demonstrate that the proposed method significantly outperforms traditional machine learning and mainstream deep learning approaches in terms of localization accuracy, generalization ability, and computational efficiency. This paper provides new perspectives and tools for intelligent power grid information security in IoT environments, holding significant innovative value in both theory and practice.…”
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Humans learn generalizable representations through efficient coding by Zeming Fang, Chris R. Sims

“…Abstract Reinforcement learning theory explains human behavior as driven by the goal of maximizing reward. …”
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Topological Sequences Connected With Inverse Graphs of Finite Flexible Weak Inverse Property Quasigroups: An Approach From Polynomials to Machine Learning by Faizah D. Alanazi

“…Research on the confluence of algebra, graph theory, and machine learning has resulted in significant discoveries in mathematics, computer science, and artificial intelligence. …”
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DFT/TDDFT and Experimental Studies of Natural Pigments Extracted from Black Tea Waste for DSSC Application by N. T. R. N. Kumara, Muhammad Raziq Rahimi Kooh, Andery Lim, Mohammad Iskandar Petra, Nyuk Yoong Voo, Chee Ming Lim, Piyasiri Ekanayake

“…Combined effect of these developments caused the enhanced efficiency of DSSC. Density functional theory (DFT) and time-dependent density functional theory (TDDFT) computational calculations were carried out to study the four theaflavin analogues which are responsible for the dark colour of BTE. …”
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