The problem of satellite attitude stabilization in the geomagnetic field by V. I. Kalenova, V. M. Morozov, A. A. Tikhonov

“…The controllability of the system was analyzed, and an optimal stabilization algorithm based on the LQR method was developed. …”
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A distributional reinforcement learning model for optimal glucose control after cardiac surgery by Jacob M. Desman, Zhang-Wei Hong, Moein Sabounchi, Ashwin S. Sawant, Jaskirat Gill, Ana C. Costa, Gagan Kumar, Rajeev Sharma, Arpeta Gupta, Paul McCarthy, Veena Nandwani, Doug Powell, Alexandra Carideo, Donnie Goodwin, Sanam Ahmed, Umesh Gidwani, Matthew A. Levin, Robin Varghese, Farzan Filsoufi, Robert Freeman, Avniel Shetreat-Klein, Alexander W. Charney, Ira Hofer, Lili Chan, David Reich, Patricia Kovatch, Roopa Kohli-Seth, Monica Kraft, Pulkit Agrawal, John A. Kellum, Girish N. Nadkarni, Ankit Sakhuja

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Spatiotemporal Monitoring of Cyanobacterial Blooms and Aquatic Vegetation in Jiangsu Province Using AI Earth Platform and Sentinel-2 MSI Data (2019–2024) by Xin Xie, Ting Song, Ge Liu, Tiantian Wang, Qi Yang

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STARMAP: Spaceborne Target Acquisition Radar With Meta-RL Assisted Placement by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

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Crime Type Identification Using High-Order Deep Residual Network with Multiple Attention Algorithm by Dawei Qiu, Chang Liu, Yuangfeng Shang, Zixu Zhao, Jinlin Shi

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LoRaBB: An Algorithm for Parameter Selection in LoRa-Based Communication for the Amazon Rainforest by Diogo Soares Moreira, Gilmara Santos, Angela Emi Yanai, Pedro Barreto de Souza, Paulo Victor Fernandes de Melo, Edjair Mota

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Energy-aware Application Mapping onto 3D Mesh-Based Network-on-Chip using Heuristic Mapping Algorithms by Kiran K A, Jaison Jacob

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Optimization of Coulomb energies in gigantic configurational spaces of multi-element ionic crystals by Konstantin Köster, Tobias Binninger, Payam Kaghazchi

“…Employing an expansion into a binary optimization problem, we obtain an efficient Coulomb energy optimizer using Monte Carlo and Genetic Algorithms. …”
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Optimal 2D Placement of Virtual Objects in Physical Space for Augmented Reality Applications by M. V. Alpatova, Yu. V. Rudyak

“…The first axis was horizontal, the second was directed forward from the user (this is the depth vector, or frontal measurement). The 1D-placement algorithm for the generated row provided optimal positioning the objects along X-axis based on the calculated comfort coefficient К. …”
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An Efficient Large-Scale Sensor Deployment Using a Parallel Genetic Algorithm Based on CUDA by Jae-Hyun Seo, Yourim Yoon, Yong-Hyuk Kim

“…A genetic algorithm has the advantage of delivering results of a higher quality than simple computational algorithms, but it has the drawback of requiring too much computing time. …”
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A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization by Anand J. Kulkarni, K. Tai

“…Two specially developed cases of the Circle Packing Problem with known solutions are solved and the true optimum results are obtained at reasonable computational costs. The proposed algorithm is shown to be sufficiently robust, and strengths and weaknesses of the methodology are also discussed.…”
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Target image detection algorithm of complex road scene based on improved multi-scale adaptive feature fusion technology by Xu Zhaosheng, Liao Zhongming, Xiao Xiaoyong, Ahmad Suzana, Mat Diah Norizan, Ismail Azlan

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Legendre based neural networks integrated with heuristic algorithms for the analysis of Lorenz chaotic model: an intelligent and comparative study by Khalid Masood, Muhammad Arshad, Muhammad Abubakar, Muhammad Naeem Aslam, Mohammed A. Alghamdi, Sultan H. Almotiri

“…Abstract The optimal control methods for managing Lorenz model are achieved using an innovative intelligent computing framework that integrates artificial neural networks with stochastic unsupervised learning-based optimizers, specifically Firefly (FA) and Archimedes algorithm (AOA). …”
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Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah, Seifeddine Bouallegue, Ridha Bouallegue

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Modified Hybrid PSO Algorithm for Efficient Control of the Matrix Converter-Fed Electrical Drive System by Ch. Amarendra, A. Pandian, Ch. Rami Reddy, Ch. Naga Sai Kalyan, Mohit Bajaj, Kareem M. AboRas, Daniel Eutyche Mbadjoun Wapet

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Early Yield Prediction of Oilseed Rape Using UAV-Based Hyperspectral Imaging Combined with Machine Learning Algorithms by Hongyan Zhu, Chengzhi Lin, Zhihao Dong, Jun-Li Xu, Yong He

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YOLO: A Competitive Analysis of Modern Object Detection Algorithms for Road Defects Detection Using Drone Images by Amit Hasan Sadhin, Siti Zaiton Mohd Hashim, Hussein Samma, Nurulaqilla Khamis

“…This research employs drone-captured imagery and advanced object detection algorithms to expedite defect recognition, with a specific focus on determining the optimal algorithm for prompt and precise detection. …”
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Optimal Multi-Physics Synthesis of a Dual-Frequency Power Inductor Using Deep Neural Networks and Gaussian Process Regression by Paolo Di Barba, Arash Ghafoorinejad, Maria Evelina Mognaschi, Fabrizio Dughiero, Michele Forzan, Elisabetta Sieni

“…In turn, to solve the inverse problem, i.e., to identify frequencies and currents of the two coils, given a prescribed temperature profile, two approaches have been implemented. The former is an optimization approach based on a multi-objective formulation, solved by means of the NSGA-II algorithm; the latter is a two-step procedure, based on fully connected Deep Neural Networks (DNNs), solving an optimal design problem first and, subsequently, an optimal control problem.…”
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SpecPCM: A Low-Power PCM-Based In-Memory Computing Accelerator for Full-Stack Mass Spectrometry Analysis by Keming Fan, Ashkan Moradifirouzabadi, Xiangjin Wu, Zheyu Li, Flavio Ponzina, Anton Persson, Eric Pop, Tajana Rosing, Mingu Kang

“…Our approach integrates contributions across multiple levels: application, algorithm, circuit, device, and instruction sets. We leverage a robust hyperdimensional computing (HD) algorithm with a novel dimension-packing method and develop specialized hardware for the end-to-end MS pipeline to overcome the nonideal behavior of PCM devices. …”
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Optimizing low complexity encoding method for systematic polar code by Linhua MA, Shiping LIU, Xing HU, Tianyu HUANG, Bin XU

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