Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification by Vaibhavi Patel, Hetal Bhavsar

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Advancements in Multi-Objective Optimization for Planning and Management of Multi-Energy Systems by Marco Tangi, Alessandro Amaranto

“…The work presented herein aims to develop modelling frameworks to explore of configurations of Multi-energy systems according to non-comparable objectives and extract trade-off solutions through optimization algorithms. Three different methodologies are presented, integrating the single-objective configuration model CALLIOPE with multi-objective algorithms for exploring the decision space. …”
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Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm by Ayuba John, Ismail Fauzi Bin Isnin, Syed Hamid Hussain Madni, Farkhana Binti Muchtar

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Optimal control of discrete event systems under uncertain environment based on supervisory control theory and reinforcement learning by Yingjun Liu, Fuchun Liu

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Enhancing CNN-based network intrusion detection through hyperparameter optimization by Antanios Kaissar, Ali Bou Nassif, Bassel Soudan, MohammadNoor Injadat

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Optimization of Self-Directed Target Coverage in Wireless Multimedia Sensor Network by Yang Yang, Yufei Wang, Dechang Pi, Ruchuan Wang

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Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning by A. Beena Godbin, S. Graceline Jasmine

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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

“…Static and centralized security models are no longer sufficient to address these challenges, underscoring the need for intelligent, distributed solutions that can optimize policy deployment in real-time. This paper introduces a novel framework based on Message Passing algorithms that enables decentralized, adapted and optimized policy deployment across complex cybersecurity infrastructures. …”
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A Novel Policy Distillation With WPA-Based Knowledge Filtering Algorithm for Efficient Industrial Robot Control by Gilljong Shin, Seongjin Yun, Won-Tae Kim

“…Policy distillation is a kind of model compression schemes of deep reinforcement learning by means of teacher-student model which make a pre-trained teacher model transfer its knowledge to structurally simplified student models in order to enhance the computing efficiency. However, it may have some problems of anomalous knowledge and abnormal robot movements in case the teacher model has a local optimal policy. …”
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High-Performance Modeling and Optimization of Wireless Networks Using Bottleneck Structures by Aleix Torres-Camps, Alex Batlle Casellas, Yuyang Wang, Mauro Filomeno Rivero, Naga Bhushan, Jordi Ros-Giralt

“…Bottleneck structures have been recently introduced as an efficient mathematical framework for modeling communication systems. Leveraging fast computational graph algorithms from the field of automatic differentiation such as backpropagation, these structures can solve certain wired network problems two to three orders of magnitude faster than traditional network simulators, without losing significant precision. …”
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Comparative Model Efficiency Analysis Based on Dissimilar Algorithms for Image Learning and Correction as a Means of Fault-Finding by Joe Benganga, Tshepo Kukuni, Ben Kotze, Lepekola Lenkoe

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Multispecies Coevolution Particle Swarm Optimization Based on Previous Search History by Danping Wang, Kunyuan Hu, Lianbo Ma, Maowei He, Hanning Chen

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A Comparative study of Fuzzy Logic, Incremental Conductance and P & O MPPT Algorithms for Solar Energy System by Muhammad Imran, Mohammad Ahsan Shehzad, Abdul Wajid

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Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning by Golam Moktader Nayeem, Mingyu Fan, Golam Moktader Daiyan

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Expansion of Output Spatial Extent in the Wavenumber Domain Algorithms for Near-Field 3-D MIMO Radar Imaging by Yifan Gong, Limin Zhai, Yan Jia, Yongqing Liu, Xiangkun Zhang

“…To suppress aliasing while expanding the output spatial extent, an optimization approach for the wavenumber domain algorithms is proposed. …”
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Advanced parameter extraction optimization technique for the four-diode model approach by Bhanu Prakash Saripalli, Bharati Gamgula, Revathi Ravilisetty, Prashant Kumar, Gagan Singh, Sonika Singh

“…This work makes use of sophisticated forms of parameter extraction aimed at promoting the optimization of algorithms such as the one known as Advanced Dynamic Inertia-Particle Swarm Optimization with Velocity Clamping or ADIPSO-VC. …”
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Machine Learning for Chinese Corporate Fraud Prediction: Segmented Models Based on Optimal Training Windows by Chang Chuan Goh, Yue Yang, Anthony Bellotti, Xiuping Hua

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Comparative study of indirect and direct feature extraction algorithms in classifying tea varieties using near-infrared spectroscopy by Xuefan Zhou, Xiaohong Wu, Bin Wu

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Optimized Subset Selection for Matrices and its Application in Hyperspectral Band Selection by Songyi Xiao, Liangliang Zhu, Xinwen Zhu, Xiurui Geng

“…In addition, we propose a method for automatically determining the optimal number of bands. Experiments conducted on both publicly available and Gaofen-5 satellite hyperspectral datasets demonstrate the superiority and stability of our proposed algorithms in terms of classification accuracy and computational efficiency.…”
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Bio inspired optimization techniques for disease detection in deep learning systems by A. Ashwini, Vanajaroselin Chirchi, S. Balasubramaniam, Mohd Asif Shah

“…This paper seeks to elucidate the efficacy of deep learning models in medical diagnostics by employing concepts and strategies derived from biological system ontologies, such as genetic algorithms, particle swarm optimization, ant colony optimization, artificial immune systems, and swarm intelligence. …”
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