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  1. 801

    LH-YOLO: A Lightweight and High-Precision SAR Ship Detection Model Based on the Improved YOLOv8n by Qi Cao, Hang Chen, Shang Wang, Yongqiang Wang, Haisheng Fu, Zhenjiao Chen, Feng Liang

    Published 2024-11-01
    “…It exhibits a 23.8% reduction in computational load while achieving a mAP50 of 96.6% on the HRSID dataset, which is 1.4% higher than YOLOv8n. …”
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    Article
  2. 802

    Design, Construction, and Evaluation of an Automatic Feeder Control System for Sugarcane Billet Planters by B. Abbasian, M. E. Khorasani Ferdavani, H. Zaki Dizaji

    Published 2024-12-01
    “…This feature provides a real-time assessment of cane availability. …”
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    Article
  3. 803

    AI-enhanced modelling of queueing and scheduling systems in cloud computing by Himani Chaudhary, Geetanjali Sharma, D. K. Nishad, Saifullah Khalid

    Published 2025-03-01
    “…This research introduces an innovative AI-enhanced framework combining deep workload prediction and reinforcement learning for dynamic scheduling. The framework features a dual-layer neural network architecture with a hybrid decision engine that merges conventional queueing metrics with learned policies. …”
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    Article
  4. 804

    Spatial-temporal dynamics of thermal pollution of the environment in Essentuki by E. A. Skripchinskaya, D. S. Tasenko, M. B. Kagan

    Published 2024-06-01
    “…The coefficients of landscaping, urban planning load and free territory are calculated. Based on the results of the work, the spatial features of the distribution of thermal anomalies associated with the active development of microdistricts of the city were established. …”
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    Article
  5. 805

    A Study on the Feasibility of Natural Frequency-Based Crack Detection by Xutao Sun, Sinniah Ilanko, Yusuke Mochida, Rachael C. Tighe

    Published 2024-12-01
    “…Thus, critical crack lengths corresponding to a series of safety factors are obtained by equating service load with critical load. After obtaining natural frequencies of the cracked plates with critical crack lengths, the natural frequency drop caused by a critical crack can be computed. …”
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    Article
  6. 806

    Classification and Identification Method of Power Equipment for Industrial Users Based on Harmonic Emission Level by Xingang YANG, Peng ZHANG, Yang DU, Aiqiang PAN, Qin XU

    Published 2021-08-01
    “…Secondly, the typical characteristics of each event is extracted to construct a feature matrix for industrial user equipment, and a feature screening method with high contribution rate is proposed to reduce the number of features. …”
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    Article
  7. 807
  8. 808

    Research on the Application of Deep Learning Algorithm in the Damage Detection of Steel Structures by Qingyun Ge, Caimei Li, Fulian Yang

    Published 2025-01-01
    “…The model combines three key innovations: multi-scale convolutional layers for spatial feature extraction, bidirectional LSTM units for temporal dependency modeling, and an attention mechanism for adaptive sensor data fusion. …”
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    Article
  9. 809

    Not an Illusion but a Manifestation: Understanding Large Language Model Reasoning Limitations Through Dual-Process Theory by Boris Gorelik

    Published 2025-07-01
    “…In other words, they represent not a bug but a feature of bounded rational systems. I propose empirically testable hypotheses comparing LRM token patterns with human pupillometry data. …”
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    Article
  10. 810

    GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

    Published 2025-01-01
    “…This paper presents a feature selection technique based on <inline-formula><tex-math notation="LaTeX">$\ell _{1}$</tex-math></inline-formula> regularization to select the most relevant weights of artificial neural networks (ANNs) for digital predistortion (DPD) linearization of wideband radio-frequency (RF) power amplifiers (PAs). …”
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  11. 811
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  13. 813

    Opportunistic diseases as the cause of damage to the central nervous system in patients with HIV-infection by A. S. Shelomov, E. V. Stepanova, O. N. Leonova, N. L. Smirnova

    Published 2016-11-01
    “…These patients were divided into two groups: Group 1 (main group) consisted of 63 patients with clinical features of CNS involvement and Group 2 (control group) consisted with 65 patients without clinical features of CNS involvement (65). …”
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  14. 814
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  16. 816

    Enhancing Smart Grids for Sustainable Energy Transition and Emission Reduction with Advanced Forecasting Techniques by Farah Rania, Farou Brahim, Kouahla Zineddine and Seridi Hamid

    Published 2024-12-01
    “…To achieve this goal, we propose a transformer-based encoder architecture for load forecasting by modifying the transformer workflow and designing a novel technique for handling contextual features. …”
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    Article
  17. 817
  18. 818

    A comparative analysis of the most common deterministic methods for the calculation of electricity losses in industrial networks by E. I. Gracheva, Z. M. Shakurova, R. E. Abdullazyanov

    Published 2019-12-01
    “…The method of graphical integration, the method of calculating electricity losses using the maximum loss time, the method of determining losses by time 2t, the method of calculating electricity losses by the average node loads are considered. The features of the application of each method are revealed. …”
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  19. 819

    OCCUPATIONAL RISK FOR EMPLOYEES OF MODERN PRODUCTION OF EPICHLOROHYDRIN IN DYNAMICS OF MEDICAL EXAMINATIONS by N. M. Meshchakova, S. F. Shayakhmetov, M. P. Dyakovich

    Published 2013-05-01
    “…The risk prevalence features have been revealed in the persons of the main occupations. …”
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    Article
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