Mission Re-Planning of Reusable Launch Vehicles Under Throttling Fault in the Recovery Flight Based on Controllable Set Analysis and a Deep Neural Network by Keshu Li, Wanqing Zhang, Han Yuan, Jing Zhou, Ying Ma

“…Simulations verify the accuracy of the CS computation algorithm and the effectiveness of the re-planning scheme under different fault conditions. …”
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STRATEGIC COMPETENCE AS A GUARANTEE OF PROFESSIONAL ACTIVITY OF A MODERN IT SPECIALIST by Volkova Nataliia, Oliinyk Iryna, Karpova Maryna

“…It is important to define long-term goals, taking into account the phased process of optimizing existing IT systems. A strong emphasis is also placed on the following blocks of scientific knowledge: the use of technologies and algorithms of computational intelligence and intelligent data analysis in the tasks of forecasting, analytics, cluster analysis using software tools to support multidimensional data analysis based on DataMining, TextMining, WebMining technologies, mastering system programming languages and methods of developing online programs, performing parallel and distributed calculations, applying numerical methods and algorithms, etc. …”
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Research on group type theory and its functorial semantic models in category logic. by Jian-Gang Tang, Yimamujiang Aishan, Ji-Yu Liu, Jia-Yin Peng

“…In practical applications, the introduction of group structures into types is anticipated to optimize algorithms and data structures, leveraging the algebraic properties of groups to enhance computational efficiency. …”
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YOLO Model-Based Eye Movement Detection During Closed-Eye State by Shigui Zhang, Junhui He, Yuanwen Zou

“…We performed extensive experiments with multiple versions of the YOLO algorithm, including v5s, v8s, v9s, and v10s, in addition to testing different sizes of the YOLO v11 model (n < s < m < l < x), to achieve optimal performance. …”
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Bias-Reduced Localization for Drone Swarm Based on Sensor Selection by Bo Wu, Bazhong Shen, Yonggan Zhang, Li Yang, Zhiguo Wang

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An efficient hybrid framework with knowledge transfer for solving capacitated vehicle routing problems by Yanlin Wu, Yanguang Cai, Chuncheng Fang

“…This study proposes a hybrid framework (HF) that addresses these limitations through four key components: (1) An improved Clarke–Wright savings algorithm for rapid initialization of high-quality solutions, (2) an incremental auxiliary task formulation that optimizes knowledge transfer while minimizing computational overhead, (3) a similarity prediction strategy enabling efficient offspring selection without additional evaluations, and (4) the framework integrates enhanced search strategy and diversity maintenance strategy to prevent premature convergence. …”
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A novel software-defined networking controlled vehicular named-data networking for trustworthy emergency data dissemination and content retrieval assisted by evolved interest packe... by Mazen Alowish, Yoshiaki Shiraishi, Yasuhiro Takano, Masami Mohri, Masakatu Morii

“…Hybrid algorithm combines cuckoo search and particle swarm optimization algorithm to perform efficient route selection. …”
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Local pattern aware 3D video swin transformer with masked autoencoding for realtime augmented reality gesture interaction by Suli Wang

“…Experimental results demonstrate that the proposed model’s accuracy, F1 score, and MIoU on the 4 GTEA sub-dataset surpass those of traditional CNN, Transformer, MobileNet, and DenseNet models, particularly on small datasets. The paper also optimizes the model’s real-time performance through a multi-core parallel computing strategy. …”
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An intelligent IDS using bagging based fuzzy CNN for secured communication in vehicular networks by M. Anand, S. Muthurajkumar

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NeuroAdaptiveNet: A Reconfigurable FPGA-Based Neural Network System with Dynamic Model Selection by Achraf El Bouazzaoui, Omar Mouhib, Abdelkader Hadjoudja

“…These advantages are particularly crucial for edge computing and embedded applications, where computational constraints and energy efficiency are paramount. …”
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The analysis of fraud detection in financial market under machine learning by Jing Jin, Yongqing Zhang

“…In the future, its real-time adaptability can be further optimized through online learning and incremental update mechanism.…”
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Generative AI for drug discovery and protein design: the next frontier in AI-driven molecular science by Uddalak Das

“…Generative artificial intelligence (AI) has emerged as a disruptive paradigm in molecular science, enabling algorithmic navigation and construction of chemical and proteomic spaces through data-driven modeling. …”
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Network Reconfiguration with Orientation-Dependent Transit Times by Hari Nandan Nath, Urmila Pyakurel, Tanka Nath Dhamala

“…Motivated by applications in evacuation planning, we consider a problem of optimizing flow with arc reversals in which the transit time depends on the orientation of the arc. …”
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Location-Allocation of a Biorefinery Based on Linguistic Mixed Integer Nonlinear Mathematical Modeling by Lei Fan, Negar Karimi, Mohammad Reza Feylizadeh, Mohsen Khorshidnia, Yongzheng Li

“…In this investigation, a Linguistics Mixed Integer Nonlinear Programming (LMINLP) approach with Z-number computations was employed to analyze the optimal allocation of locations for a bio-refinery supply chain network. …”
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Visual Object Tracking in RGB-D Data via Genetic Feature Learning by Ming-xin Jiang, Xian-xian Luo, Tao Hai, Hai-yan Wang, Song Yang, Ahmed N. Abdalla

“…Our approach addresses feature learning as an optimization problem. As owning the advantage of parallel computing, genetic algorithm (GA) has fast speed of convergence and excellent global optimization performance. …”
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Medical laboratory data-based models: opportunities, obstacles, and solutions by Jiaojiao Meng, Moxin Wu, Fangmin Shi, Ying Xie, Hui Wang, You Guo

“…Proposed solutions include establishing standardized data formats, utilizing deep learning frameworks, employing distributed computing, improving interpretability, and implementing techniques like federated learning and algorithm optimization to address bias and safeguard privacy. …”
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Bit flipping-based error correcting output code construction for adversarial robustness of neural networks by Wooram Jang, Woojin Hwang, Kezhong Jin, Hosung Park

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Using transcripts to refine image based cell segmentation with FastReseg by Lidan Wu, Joseph M. Beechem, Patrick Danaher

“…The algorithm’s modularity allows for seamless optimization and integration of advancements in segmentation technology. …”
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Subtraction Method for Subpixel Stitching: Synthetic Aperture Holographic Imaging by Zhangyue Wei, John J. Healy, Min Wan

“…With optimization, the result shows that the SM achieves high accuracy and requires less computational time for image stitching when compared to contemporary image stitching algorithms.…”
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Advancements and challenges in inverse lithography technology: a review of artificial intelligence-based approaches by Yixin Yang, Kexuan Liu, Yunhui Gao, Chen Wang, Liangcai Cao

“…The ILT leverages optimization algorithms to generate mask patterns, outperforming traditional optical proximity correction methods. …”
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