Compression Index Regression of Fine-Grained Soils with Machine Learning Algorithms by Mintae Kim, Muharrem A. Senturk, Liang Li

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Blockchain-enabled verification of medical records using soul-bound tokens and cloud computing by Puneeta Singh, Shrddha Sagar, Sofia Singh, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

“…Blockchain systems can lower platform costs and determine the optimal allocation of resources across a dispersed network by utilizing deep learning algorithms. …”
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Polymeric Memristors as Entropy Sources for Probabilistic Bit Generation by Stephen H. Foulger, Yuriy Bandera, Igor Luzinov, Travis Wanless

“…The stochasticity of this polymeric memristor makes it particularly suited for p‐bit applications in stochastic optimization, probabilistic algorithms, and artificial neural networks. …”
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Neuromorphic principles for machine olfaction by Nik Dennler, Aaron True, André van Schaik, Michael Schmuker

“…Neuromorphic computing, exemplified by breakthroughs in machine vision through concepts like address-event representation and send-on-delta sampling, has revolutionised sensor technology, enabling low-latency and high dynamic range perception with minimal bandwidth. …”
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A New Approach Based on Metaheuristic Optimization Using Chaotic Functional Connectivity Matrices and Fractal Dimension Analysis for AI-Driven Detection of Orthodontic Growth and D... by Orhan Cicek, Yusuf Bahri Özçelik, Aytaç Altan

“…Feature selection was performed using a wrapper-based approach combining k-nearest neighbors (kNN) and the Puma optimization algorithm, which efficiently handles the chaotic and computationally complex nature of cervical vertebrae images. …”
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Sistemnyy podkhod k postroeniyu ontologii dlya avtomatizatsii sostavleniya raspisaniya mnogourovnevogo vuza by Aleksey F. Rogachev, Dmitry S. Zakharov

“…In cases of significant amounts of input data, typical for a multilevel university, and a set of numerous constraints, the search for an acceptable solution may take a long time or may not be optimal. The paper presents the peculiarities of a multilevel university and considers a computerized approach to the construction of an ontological model for the automation of academic scheduling, used to optimize the process of its compilation. …”
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Amorphous Localization Algorithm Based on BP Artificial Neural Network by Lin-zhe Zhao, Xian-bin Wen, Dan Li

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Topology optimization of analog circuit design via global optimization using factorization machines with digital annealer by Masaharu HIDA, Hiroshi IKEDA, Akito MARUO, Masaru SATO, Takashi YAMAZAKI

“…In this paper, we employ an innovative optimization method that employs a factorization machine with a digital annealer (FM-DA) and a genetic algorithm (GA). …”
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Allocation Strategy Optimization Using Repulsion-Enhanced Quantum Particle Swarm Optimization for Multi-AUV Systems by Changjian Lin, Dan Yu, Shibo Lin

“…To address the challenge of finding the Nash equilibrium in bi-matrix games, this paper introduces a repulsion process quantum particle swarm optimization (RPQPSO) algorithm. This method not only resolves the complexities of Nash equilibrium computation but also overcomes the limitations of traditional optimization methods that often converge to local optima. …”
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Influence of Genetic Algorithm Parameters on Their Performance for Parameter Identification of a Yeast Fed-batch Fermentation Process Model by Maria Angelova, Tania Pencheva

“…Among the considered GA parameters, generation gap influences most significantly to SGA and MGA convergence time, saving of about 40% of computational time of the algorithms without affecting the model accuracy.…”
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An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer by Namdeo Baban Badhe, Rahul P. Neve, Vijaykumar P. Yele, Swati Abhang, Komal Madhukar Dhule, Darshan Mali

“…To enhance predictive performance, the Aquila Optimizer, a nature-inspired algorithm, is employed to fine-tune critical hyperparameters, ensuring optimal model convergence and performance. …”
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Speech emotion recognition algorithm of intelligent robot based on ACO-SVM by Xueliang Kang

“…This paper not only offers an innovative solution for the emotion recognition technology within the realm of intelligent robots, but also extends its methodology to have significant implications for related fields, thereby strongly advancing the in-depth application and development of intelligent bionic algorithms in speech emotion recognition. In addition, through this series of optimization strategies, this paper significantly improves the accuracy of emotion recognition, laying a solid foundation for intelligent robots to achieve more natural and efficient human-computer interaction.…”
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Improved Optimized Minimum Generalized L_p/L_q Deconvolution and Application to Bearing Fault Detection by Na Yang, Zhigang Pan, Yuanbo Xu

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Energy-Efficient Resource Allocation in Mobile Edge Computing Using NOMA and Massive MIMO by Qusay Alghazali, Husam Al-Amaireh, Tibor Cinkler

“…This paper introduces a comprehensive framework for reducing energy consumption in MEC environments by leveraging advanced optimization techniques and energy-efficient resource allocation algorithms. …”
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Supply chain management and optimization in transportation logistics by Saoussen Krichen

“…Depending on the<ul><li><em>Approximate methods </em>as heuristics and meta-heuristics, are techniques that solve problems in a reasonable runtime and memory consumption, compared to exact algorithms. But, it no guarantees the optimality of the generated solution. …”
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Research on path planning of mobile robots based on improved A* algorithm by Xing Fu, Zucheng Huang, Gongxue Zhang, Weijun Wang, Jian Wang

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An Evolutionary Algorithm for Solving Academic Courses Timetable Scheduling Problem by Israa Abdulameer Abduljabbar, Sura Mahmood Abdullah

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A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data by Ovais A Jaffery, Lea Melki, Gregory Slabaugh, Wilson W Good, Caroline H Roney

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Video semantics-driven resource allocation algorithm in Internet of vehicles by Jiujiu CHEN, Chunyan FENG, Caili GUO, Yang YANG, Qizheng SUN, Meiyi ZHU

“…Aiming at the problem that traditional resource allocation methods will no longer be applicable, with the demand of intelligent computing services such as video semantic understanding in Internet of vehicles, the video semantic driven resource allocation algorithm was studied.First of all, taking the object detection task as an example, a semantic driven resource allocation guidance model for video was proposed and an algorithm for solving model parameters was given.Secondly, an optimization problem of resource allocation driven by video semantics in Internet of vehicles was constructed, which was transformed into a convex problem and solved by convex optimization algorithm.Furthermore, in order to reduce the complexity of the convex optimization algorithm, a resource allocation algorithm based on reinforcement Q learning was proposed.Finally, the performance advantages of the proposed algorithm are verified by simulations.…”
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Enabling scalable single-cell transcriptomic analysis through distributed computing with Apache spark by Asif Adil, Namrata Bhattacharya, Aadam, Naveed Jeelani Khan, Mohammed Asger

“…In this study, we try to address this challenge and present a novel parallel analytical framework, scSPARKL, that leverages the power of Apache Spark to enable the efficient analysis of single-cell transcriptomic data. scSPARKL is fortified by a rich set of staged algorithms developed to optimize the Apache Spark’s work environment. …”
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