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    APPROACH TO BUILDING A GLOBAL MOBILE AGENT WAY BASED ON Q-LEARNING by Vitalii Martovytskyi, Oleksandr Ivaniuk

    Published 2020-09-01
    “…The purpose of the work is to create an algorithm for planning the route of autonomous mobile systems in space using the Q-learning algorithm. …”
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    Location Problem - Routing a vehicle with a specified fuel capacity based on a tough time window and customer satisfaction by Mohammad Moshrefi

    Published 2023-09-01
    “…In this research, first, a mixed integer linear programming model is presented and then metaheuristic method based on Non-dominated Sorting Genetic Algorithm is proposed to find the optimal solution. …”
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    Advances in Pinhole and Multi-Pinhole Collimators For Single Photon Emission Computed Tomography Imaging by Jalil Islamian, AhmadReza Azazrm, Babak Mahmoudian, Esmail Gharapapagh

    Published 2015-01-01
    “…Current researches have focused on geometry and configuration of pinhole and multi-pinhole collimation rather than reconstruction algorithm. …”
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    Multi-convolutional neural network brain image denoising study based on feature distillation learning and dense residual attention by Huimin Qu, Haiyan Xie, Qianying Wang

    Published 2025-03-01
    “…Before feeding the brain images into the denoising network model, they are preprocessed using a modified watershed algorithm based on a combination of a morphological gradient, Sobel's operator, and Canny's operator. …”
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    A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M... by Abhijeet Das

    Published 2025-06-01
    “…To tackle this issue, we developed a new tool that harnesses optimization models, enhancing the reliability and accuracy of water quality assessments. Our research in Mahanadi River Basin, Odisha, presents an enhanced methodology based on data, specifically designed to be beneficial for Water Quality (WQ) based on Synthetic Pollution Index (SPI) and machine learning models such as Long Short-Term Memory (LSTM) and Sparrow Search Algorithm (SSA), for its analysis and interpretation of extensive, intricate data sets on water quality, as well as the allocation of pollution sources or contributing elements, in order to improve knowledge of the water quality and the planning of monitoring networks for efficient water resource management. …”
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    Wireless Power Transfer Optimization with a Minimalist Single-Capacitor Design for Battery Charging by Sabriansyah Rizqika Akbar, Wijaya Kurniawan, Achmad Basuki, Agung Setia Budi, Barlian Henryranu Prasetio

    Published 2025-03-01
    “…Along with the emerging needs to either complement or replace the limitation of energy storage technologies in batteries in supplying power to mobile devices, including electric vehicles, Wireless Power Transfer (WPT) technologies are becoming the main focus to solve this problem. However, much research is still in progress in relation to how to achieve high power delivery from the transmitter to the receiver of the WPT circuit. …”
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    Multi-objective Optimal Scheduling of Water-Carbon in Cascade Reservoirs during Impoundment for Carbon Emission Reduction by ZHOU Yan-lai, NING Zhi-hao, HE Jun-tao

    Published 2025-06-01
    “…Scheduling analyses for both wet (2020) and dry (2022) years demonstrate that the proposed model is well-suited to different hydrological scenarios, achieving a balance between carbon reduction goals and traditional reservoir functions such as flood control, storage, power generation, and drought resistance. This research provides technical support for implementing coordinated water-carbon scheduling of cascade reservoirs during the impoundment period.…”
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    Comparison of clustering methods and conventional approaches for geological fracture analysis: A case study in northern Shiraz, Iran by HAJAR KAZEMI, KOUROS YAZDJERDI, ABDOLMAJID ASADI, MOHAMMAD REZA MOZAFARI

    Published 2025-07-01
    “…The primary aim is to enhance fracture classification accuracy by integrating the k-means algorithm with a genetic algorithm to cluster joints and faults. …”
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    AI driven automation for enhancing sustainability efforts in CDP report analysis by Ramya Rangarajan, Tamilarasi Kathirvel Murugan, Logeswari Govindaraj, Venyaa Venkataraman, Krithik Shankar

    Published 2025-07-01
    “…This paper proposes a novel hybrid approach that combines Genetic Algorithms (GA) with Long Short-Term Memory (LSTM) networks to optimize supply chain sustainability. …”
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    Computer-Aided Supporting Models of Customized Crack Propagation Sensors for Analysis and Prototyping by Paulina Kurnyta-Mazurek, Rafał Wrąbel, Artur Kurnyta

    Published 2025-01-01
    “…This approach allows for taking advantage of individual software environments, which allows for expanding the scope of analyses and using the developed models and applications in further research activities.…”
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