Self-adaptive dragonfly based optimal thresholding for multilevel segmentation of digital images by Rakoth Kandan Sambandam, Sasikala Jayaraman

“…Dragonfly optimization (DFO) is a population based meta-heuristic optimization algorithm that simulates the static and dynamic swarming behaviors of dragonflies. …”
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Accelerating and Compressing Transformer-Based PLMs for Enhanced Comprehension of Computer Terminology by Jian Peng, Kai Zhong

“…Our method involves a pipeline parallelism algorithm designed to accelerate training. It is paired with an innovative mixed compression strategy that combines pruning and knowledge distillation to effectively reduce the model size while preserving its performance. …”
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Audio-Based Assistive Device for Boxed Product Detection for The Visually Impaired by Muhammad Dzaky Yoni, Dodon Yendri

“…The HC-SR04 ultrasonic sensor is used to measure the distance of objects from the user, while the output information is provided through wireless earphones in the form of audio. …”
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Fractional Modeling of Non-Newtonian Casson Fluid between Two Parallel Plates by Mubashir Qayyum, Sidra Afzal, Efaza Ahmad

“…A modified homotopy perturbation algorithm is used for the solution and analysis of highly nonlinear and fully fractional ordinary differential equations. …”
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Modeling of Distorted Degradation Data Based on Oil Analysis by Yue Chen, Jian Shi

“…The main contributions are as follows: First, we developed a degradation correction model that automatically identifies oil top-up events while globally rectifying distorted data, achieving an accurate reconstruction of physical degradation curves. …”
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Sparse joint representation for massive MIMO satellite uplink and downlink based on dictionary learning by Qing-Yang Guan, Shuang Wu, Zhuang Miao

“…To address this issue,we analyze the conditional constraints of the dictionary for joint UL/DLchannel representation, aiming to quantify the maximum boundary while pro-posing a constrained dictionary learning algorithm with singular value decom-position to obtain an effective representation and conduct an adaptabilityanalysis in dynamic satellite communication scenarios.…”
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Laguerre-Based Frequency-Limited Balanced Truncation of Discrete-Time Systems by Zhou Song, Qiu-Yan Song, Umair Zulfiqar

“…By leveraging Laguerre functions, we develop two efficient MOR algorithms that avoid the computationally expensive generalized Lyapunov equation solvers used in traditional methods. …”
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Using machine learning to simultaneously quantify multiple cognitive components of episodic memory by Soroush Mirjalili, Audrey Duarte

“…Overall, this study provides critical insight into the underlying reasons why some events are remembered while others are not.…”
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Secondary Intraocular Lens Options in Intraocular Lens Dislocation: A Review by Alexander Maloof, Ava James, Nicholas Pavic, Shane Zhang, Stephanie Wu, Christopher Go

“…While there are numerous IOL techniques and lens options for addressing IOL dislocation, there is currently no consensus on the optimal method. …”
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Cross-Domain Edge Computing Offloading Strategy for Delay-Optimized in Low Earth Orbit Satellite Network by YANG Guisong, HUANG Yechao, HE Xingyu

“…Existing approaches primarily employ centralized or distributed management, where the former suffers from high information collection latency and limited flexibility, while the latter incurs high inter-satellite collaboration costs, restricting global optimization. …”
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ON FPGA BASED ACCELERATION OF IMAGE PROCESSING IN MOBILE ROBOTICS by Petr Cížek, Jan Faigl

“…In this paper, an FPGA assisted acceleration of image processing is considered to overcome limitations of computational resources available on-board and to enable high processing speeds while it may lower the power consumption of the system. …”
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Research on lightweight malware classification method based on image domain by SUN Jingzhang, CHENG Yinan, ZOU Binghui, QIAO Tonghua, FU Sizheng, ZHANG Qi, CAO Chunjie

“…This mechanism guided the model to focus on more informative features, while depthwise separable convolution further reduced the number of model parameters. …”
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Enhancing Robust Adaptive Dynamic Positioning of Full-Actuated Surface Vessels: Reinforcement Learning Approach for Unknown Hydrodynamics by Jiqiang Li, Wanjin Huang, Chenfeng Huang, Guoqing Zhang

“…Simulations are carried out to evaluate the superiority and feasibility of the proposed algorithm.…”
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Edge caching strategy based on multi-agent deep reinforcement learning in cloud-edge-end scenarios by WANG Haiyan, CHANG Bo, LUO Jian

“…On this basis, aiming to maximize cumulative rewards, a multi-agent deep reinforcement learning algorithm based on edge caching strategy was proposed. …”
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Calculating Percentiles of <i>T</i>-Distribution Using Gaussian Integration Method by Tzu-Li Tien

“…The results show that the percentiles of the <i>t</i>-distribution are accurately estimated using the algorithm developed in this study.…”
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An importance viral factors in the etiopathogenesis and in treatment selection otitis media with effusion in children by L. N. Khulugurova, N. V. Shcherbik, K. I. Chuikova, A. V. Starokha, M. M. Litvak

“…Inclusion antiviral drug into the OME treatment algorithm decreases terms of patient¢s treatment.…”
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THE DEVELOPMENT OF STATE AND PUBLIC MANAGEMENT OF EDUCATION THROUGH PROFESSIONAL ASSESSMENT OF INNOVATIVE ACTIVITY by Valery N. Volkov

“…The process approach was used while designing the model; the algorithm of professional-public assessment of innovation activity is described.Practical significance. …”
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Two-Step Adaptive Target Detection Scheme Using Beam-Steering FMCW Radar Sensors by Bong-seok Kim, Young-seok Jin, Jieun Bae, Eugin Hyun

“…Furthermore, to verify the effectiveness of the proposed algorithm, high-resolution target detection experiments were conducted using a 24-GHz FMCW radar, while complexity reduction was evaluated in terms of the required memory size.…”
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Modification of the Pitch Curve Design Defect of Non-circular Gear based on Spline Interpolation Method by Liu Qinqin, Lü Gang, Deng Xingqiao

“…The results indicate that design deficiency such as pitch curve for high-order Achimedean spiral gear pair can be amended quickly by the algorithm,while it is exactly.…”
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Transfer learning based feature selection for feedforward neural network for speech emotion classifier by D. V. Krasnoproshin, M. I. Vashkevich

“…This technique allowed us to significantly reduce initial feature vector size while increasing models’ prediction quality. We used TESS and RAVDESS datasets to estimate the performance of proposed method. …”
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