Enhanced DDPG algorithm for latency and energy-efficient task scheduling in MEC systems by Fei Zhou, Lihong Zhao, Xiaomei Ding, Shuqin Wang

“…At a task load of 10, the improved DDPG achieved a latency of 250 ms and energy consumption of 965 J, significantly lower than other algorithms. Ablation experiments further confirm the positive impact of each enhancement, showing that the combination of soft updates and experience replay buffers significantly reduces both latency and energy consumption. …”
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Genetic Algorithms and Particle Swarm Optimization Mechanisms for Through-Silicon Via (TSV) Noise Coupling by Khaoula Ait Belaid, H. Belahrach, H. Ayad

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Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

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Estimation and Optimization of the Hydrostatic Height of Waterway Embankment Using Taguchi-Based Honey Badger Algorithm by Swarnima Subhadarsini, Debabrata Giri, Sudhanshu Das

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Machine learning-based text mining for cutaneous myiasis and potential value of an accidental maggot therapy for complicated skin and soft tissue infection with sepsis by Zhiyuan Zhou, Chaoran Yu, Danhua Yao, Zhen Wang, Yuhua Huang, Pengfei Wang, Weimin Wang, Yousheng Li

“…Furthermore, the clinical management of two diabetes patients with serious soft tissue infection-associated sepsis was analyzed.ResultsA total of 211 results were retrieved and 50 topics relevant to cutaneous myiasis were determined by the LDA algorithm. …”
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Optimization of the Operation Rule Curves for Cascade Reservoirs Using the Cuckoo Search Algorithm by Ismail Ara, Mutlu Yasar

“…In this study, the optimal operation rule curves for cascaded reservoirs were obtained by using the cuckoo search algorithm, which is a soft computing method. Both the irrigation and flood control constraints of the Adiguzel and Cindere dams in Denizli (Turkey) were satisfied by utilizing these rule curves, and the total energy production was maximized. …”
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A ResNet-based deep reinforcement learning framework using soft actor-critic for remaining useful life prediction of rolling bearings by Thanh Tung Luu, Duy An Huynh

“…To address these limitations, this study proposes a deep reinforcement learning framework that integrates a ResNet-based autoencoder for latent feature extraction from raw vibration signals with the Soft Actor-Critic (SAC) algorithm for dynamic RUL prediction. …”
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Optimization of algorithms transferring numeric positional codes for discrete channels with the fluctuation noise by Sergey Gennad'yevich Rassomahin, Oleg Pavlovich Malofey, Aleksandr Olegovich Malofey

“…The algorithm enables the use of non-uniform energy «protection» of numbers by combining bits of «soft» and «hard» decisions in the best reception conditions limit the average power of the transmitter. …”
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Prognostic algorithm for early diagnosis of subcritical conditions as predictors of sudden cardiac death by A. V. Bykov, P. S. Azarova, S. A. Parkhomenko, A. V. Bykov, A. V. Polyakova, M. V. Alymova, A. V. Vinnikov

“…The basis is to improve the efficiency of predictive algorithms.Material and methods. This pilot, controlled, open-label, randomized, prospective clinical trial included 220 patients at risk of SCD and 150 patients without risk of SCD. …”
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Research on Digital Image Watermarking Algorithm Based on Scrambling and Singular Value Decomposition by Lei Pei

“…The transmittance of the degraded image is calculated, the transmittance is refined by relying on the soft matting algorithm and guiding filter, the image contrast in the image frequency domain is enhanced, and the results are mapped to the appropriate visual range to optimize the visual brightness of the image. …”
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A Broyden Correction Image Reconstruction Algorithm for Electrical Capacitance Tomography System by CHEN Yu, XIA Zong-ji, LI Hong-bo, ZHOU Yu-jia

“…In electrical capacitance tomography technology, to solve the ‘soft-field’ nature and the typical ill-posed problem, a Broyden Correction image reconstruction algorithm is proposed for electrical capacitance tomography system. …”
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A note on the exclusion operator in multi-swarm PSO algorithms for dynamic environments by Javidan Kazemi Kordestani, Mohammad Reza Meybodi, Amir Masoud Rahmani

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Application of improved and efficient image repair algorithm in rock damage experimental research by Mingzhe Xu, Xianyin Qi, Diandong Geng

“…To address this issue, this paper focuses on the restoration of image data acquired through digital image technology, leveraging deep learning techniques, and using soft and hard rocks made of similar materials as research subjects, an improved Incremental Transformer image algorithm is employed to repair distorted or missing strain nephograms during uniaxial compression experiments. …”
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An Extension of Ozone Profile Retrievals from TROPOMI Based on the SAO2024 Algorithm by Juseon Bak, Xiong Liu, Gonzalo González Abad, Kai Yang

“…An optimal estimation retrieval algorithm, originally developed for the Ozone Monitoring Instrument (OMI), was extended as a preliminary step toward integrating multiple satellite ozone profile datasets. …”
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Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization by Roland Nagy, István Szalai

“…We introduce a novel, computationally efficient soft-sensor algorithm that detects and isolates aggressive maneuvers using sensor data from existing road quality measurement systems, classifying them into four categories. …”
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4D trajectory lightweight prediction algorithm based on knowledge distillation technique by Weizhen Tang, Jie Dai, Zhousheng Huang, Boyang Hao, Weizheng Xie

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Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots by Haokai Lv, Qian Qian, Jiawen Pan, Miao Song, Yong Feng, Yingna Li

“…This research addresses the robot path planning problem, aiming to enhance delivery efficiency and reduce operational costs through systematic improvements to the RIME optimization algorithm. Through in-depth analysis, we identified several major drawbacks in the standard RIME algorithm for path planning: insufficient global exploration capability in the initial stages, a lack of diversity in the hard RIME search mechanism, and oscillatory phenomena in soft RIME step size adjustment. …”
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Outlier Detection of Photovoltaic Power Generation System Data Based on GMM-IF Algorithm by Xin Li, Guoxin Du, Yuman Li, Zengqiang Ma, Lihu Liu, Minglong Jiang, Feiyu Liu, Tianming Mu

“…Under different operating conditions and actual photovoltaic array datasets, comparative experiments were conducted using different evaluation metrics and algorithms to verify the effectiveness and superiority of the GMM-IF algorithm. …”
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Intelligent Modeling and Experimental Investigation of the Collar's Impact on Reducing Scour around the Spur Dike by Hojat Karami, Alireza Rezaei, Amin Atarodi

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Learning path planning methods based on learning path variability and ant colony optimization by Jing Zhao, Haitao Mao, Panpan Mao, Junyong Hao

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