Computational fluid dynamics and machine learning integration for evaluating solar thermal collector efficiency -Based parameter analysis by Xiaoyu Hu, Lanting Guo, Jiyuan Wang, Yang Liu

“…Abstract The present paper provides a novel hybrid computational framework that integrates Computational Fluid Dynamics (CFD) with advanced machine learning techniques to optimize solar thermal collectors employing micro-heat pipe arrays (MHPA) for food dehydration applications. …”
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Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Abdul Hafeez-Baig, Ru-San Tan, Prabal Datta Barua, Ravinesh C. Deo, Makiko Kobayashi, U. Rajendra Acharya

“…As opposed to typical ML models, the proposed gated-LNN includes a gating mechanism that enhances temporal learning and noise robustness, making it well-suited for dynamic environmental data. For ascertaining the effectiveness of the proposed approach, we conducted rigorous experiments on a publicly available water quality dataset with 1897 examples collected from varied water bodies of India between the years 2005 and 2014. …”
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An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks by Basma Alsehaimi, Ohoud Alzamzami, Nahed Alowidi, Manar Ali

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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…This paper proposes a reinforcement learning-based adaptive encryption framework that dynamically scales encryption levels based on real-time network conditions and threat classification. …”
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Energy efficiency decision-making in non-energy intensive industries: content and social network analysis by Jonatas Campos Martins, Maria Isabel Wolf Motta Morandi, Daniel Pacheco Lacerda, Barbara Pisoni Bender Andrade

“…Additionally, social network analysis was used. Main findings It concludes that the approaches are limited to technical and financial factors and does not consider a systemic and dynamic understanding of different internal and external variables to the organization. …”
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Enhancing Ion Transport in Polymer Electrolytes by Regulating Solvation Structure via Hydrogen Bond Networks by Yuqing Gao, Yankui Mo, Shengguang Qi, Mianrui Li, Tongmei Ma, Li Du

“…Polymer electrolytes (PEs) provide enhanced safety for high–energy–density lithium metal batteries (LMBs), yet their practical application is hampered by intrinsically low ionic conductivity and insufficient electrochemical stability, primarily stemming from suboptimal Li⁺ solvation environments and transport pathways coupled with slow polymer dynamics. …”
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Evaluation of TOPSIS Algorithm for Multi-Criteria Handover in LEO Satellite Networks: A Sensitivity Analysis by Pascal Buhinyori Ngango, Marie-Line Lufua Binda, Michel Matalatala Tamasala, Pierre Sedi Nzakuna, Vincenzo Paciello, Angelo Kuti Lusala

“…The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is widely recognized as an effective multi-criteria decision-making algorithm for handover management in terrestrial cellular networks, especially in scenarios involving dynamic and multi-faceted criteria. …”
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Adaptive Policy-Oriented Cybersecurity: A Decentralized Framework Using Message Passing Algorithms for Dynamic Threat Mitigation by Spyridon Evangelatos, Eleni Veroni, Mariza Konidi, Sophia Karagiorgou, Georgia Dede, Anargyros Baklezos, Christos Nikolopoulos, Panagiotis Sarigiannidis, Sotirios K. Goudos

“…Extensive simulations were conducted to evaluate the framework’s effectiveness in optimizing policy deployment for varying network topologies, demonstrating significant improvements in threat detection accuracy, policy consistency and resource efficiency across diverse and dynamic network environments.…”
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Dynamic O-D Demand Estimation: Application of SPSA AD-PI Method in Conjunction with Different Assignment Strategies by Marialisa Nigro, Akmal Abdelfatah, Ernesto Cipriani, Chiara Colombaroni, Gaetano Fusco, Andrea Gemma

“…A comparative analysis is conducted on a test network and the results highlight the importance of route choice model and information for the stability and the quality of the offline dynamic demand estimations.…”
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Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network. by Jiaqing Huang, Yang Liu, Miaomiao Tu, Osama Sohaib

“…This study proposes a hybrid model-Genetic Algorithm-optimized Fuzzy Neural Network (GA-FNN)-to enhance bank risk identification within this context. …”
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Two-Stage Dynamic Partitioning Strategy Based on Grid Structure Feature and Node Voltage Characteristics for Power Systems by Lixia Sun, Xianxue Sha, Shuo Zhang, Jiahao Wang, Yiping Yu

“…Grid partitioning is then conducted by maximizing modularity through a staged approach that ensures network connectivity and automatically determines partition numbers. …”
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Tasmanian devil whale optimization (TDWO) is introduced for secure video transmission in 5G networks. by Fengren Lin, Minrong Lu

“…Numerous studies have been conducted to design efficient resource allocation approaches for secure video transmission in 5G cellular networks. …”
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…By incorporating the dynamics of user behavioral changes and the logic of platform scaling driven by investment, two representative cybersecurity datasets are selected for analysis: the Canadian Institute for Cybersecurity Intrusion Detection System 2017 and the Network-Based Intrusion Detection Evaluation Dataset 2015. …”
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Analysis of the dynamic effect of the electrical interconnection on the stability of the rotor angle for synchronous generators in the electric power system of Syria by A. Alzakkar, N. P. Mestnikov, F. Alhajj Hassan, I. M. Valeev

“…In the course of the study, the authors obtained the following conclusions, such as: an increase in CFCT was found for generating units in the power system of Syria due to connection activation, an increase in transmitted power, which leads to an increase in the stabilization zone after a failure and before the start of connecting electrical systems to the country's power system, as well as it is necessary to conduct in-depth dynamic studies of the entire system in order to represent the effect of the connection on the parameters of the system, taking into account the increase in power.…”
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pQueue-MAC: An Energy Efficient Hybrid MAC Protocol for Event-Driven Sensor Networks by Liantao Wu, Shuguo Zhuo, Zhibo Wang, Zhi Wang

“…Although a lot of MAC protocols have been proposed to deal with burst traffic in wireless sensor networks, most of them do not optimize the energy efficiency of low and nonperiodic traffic, which actually wastes a lot of energy. …”
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Achieving Accurate and Efficient Load Flow Model in Distribution Networks Using Hybrid Linearization Approach by Wasiu O. Sulaimon, Ibrahim O. Habiballah, Muhammad Khalid, Fahad S. Al-Ismail

“…To validate the effectiveness of the hybrid approach, extensive testing was conducted across various distribution networks. The results demonstrate notable improvements in accuracy compared to traditional linear methods, making this hybrid approach a promising solution for load flow analysis in practical applications. …”
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Fog computing-enabled smart seating systems: optimizing latency and network bandwidth efficiency in classrooms by Evans Obu, Michael Asante, Eric Opoku Osei

“…To address these issues, we propose a novel smart seating system powered by Fog Computing that leverages Wireless Sensor Networks (WSN), Internet of Things (IoT), Fog Computing (FC) and Cloud Computing (CC) technologies. …”
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Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks by Christoph Weilenmann, Alexandros Nikolaos Ziogas, Till Zellweger, Kevin Portner, Marko Mladenović, Manasa Kaniselvan, Timoleon Moraitis, Mathieu Luisier, Alexandros Emboras

“…They can act as multi-functional hardware synapses in a class of bio-inspired deep neural networks (DNN) that make use of both long- and short-term synaptic dynamics and are capable of meta-learning or learning-to-learn. …”
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Energy optimization and age of information enhancement in multi‐UAV networks using deep reinforcement learning by Jeena Kim, Seunghyun Park, Hyunhee Park

“…By formulating the inter‐UAV network path planning problem as a Markov decision process, a deep Q‐network (DQN) strategy is applied to enable real‐time decision making that accounts for dynamic environmental changes, obstacles, and UAV battery constraints. …”
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ATN-Hybrid: a hybrid attention network with deterministic-probabilistic mechanism for hyperspectral image classification by Jianshang Liao, Liguo Wang

“…Additionally, we design an adaptive feature fusion strategy with learnable fusion coefficients for dynamic feature optimization. Extensive experimental validation is conducted on four benchmark datasets: Indian Pines, Pavia University, Kennedy Space Center, and Salinas Valley. …”
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