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Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach
Published 2025-07-01“…Current target detection algorithms have limited applications and low accuracy. …”
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Hybrid optimized data aggregation for fog computing devices in internet of things
Published 2024-05-01“…In this work, a new and novel hybrid optimization technique based on TABU Search (TS), Particle Swarm Optimization (PSO), and River Formation Dynamics (RFD) algorithms were proposed. The Hybrid RFD-TS, along with a hybrid RFD-PSO technique, was in the solution space search used for the local optimum, which is avoided. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery.
Published 2024“…This study, titled "Enhancing Attendance Management through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery," aimed to develop a more accurate and efficient solution using Local Binary Pattern Histogram and Convolutional Neural Networks algorithms to automate attendance tracking.A mixed-method approach was employed, combining system testing with user feedback from administrators, staff, and students. …”
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Influence of Absorbing Material Distribution on Double Slope Sound Decay in L-Shaped Room
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A parameter centric service discovery framework for social digital twins in smart City
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Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control
Published 2025-07-01“…Simulations and real-world data verify the framework’s superiority over benchmarks like A* and RRT, achieving 30% shorter routes, 70% fewer turns, 64.7% fewer dynamic collisions, and a 215-fold speed improvement in map generation via CUDA acceleration. This research underscores the importance of integrating powerful AI components within a hierarchical synergy, encompassing AI-based perception, hierarchical decision planning for guidance, and multi-stage optimal search algorithms for control. …”
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Hierarchical Structure of the Program Used by Filamentous Fungi to Navigate in Confining Microenvironments
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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...
Published 2025-06-01“…Therefore, this innovative research recommends integrating these modelling approaches due to their consistent and reliable results, which can reduce both the time and cost of analysis and be applied locally and globally using similar methodologies. …”
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Predicting financial failure under traditional models and financial safety indicators (Proposed model) - analytical research for a sample of Banks listed on Iraqi stock exchange
Published 2024-12-01“…Giving weights based on the outputs of the genetic algorithm for the period from 2017-2022 for the Middle East Bank as a successful bank and for the Dar es Salaam Bank for the period 2012-2014 as a failed bank, and after testing the proposed model and comparing its results with the models of Altman, Sheerod, Kida, the research reached agreement on the results for the proposed model with typical Altman, sheerod. …”
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THE MODERNIZATION OF THE FINANCE SOURCES FOR THE ELECTRICITY INDUSTRY COMPANIES ON THE EXAMPLE OF «ENERGO»
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Evidence and reality: an observational study on pharmacological outcomes in advanced head and neck tumors
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