بدائل البحث:
optimization data » optimization a (توسيع البحث), optimization _ (توسيع البحث), optimization ppo (توسيع البحث)
decrease » increase (توسيع البحث)
optimization data » optimization a (توسيع البحث), optimization _ (توسيع البحث), optimization ppo (توسيع البحث)
decrease » increase (توسيع البحث)
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An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…However, building accurate prediction models is hard due to the lack of data in the domain of software engineering. As a result, the prediction models built on one data set show a significant deterioration of their accuracy when they are used to classify new, unseen data. …"
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Operations management of outpatient chemotherapy process: An optimization-oriented comprehensive review
منشور في 2022"…</p><p dir="ltr">Various scientific databases were searched to collect the maximum number of OCP optimization-oriented publications. Bibliometric data mining tools were used to provide descriptive analyses of the publications. …"
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Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment
منشور في 2023"…However, it does not account for the inaccuracies and uncertainties existing in the system, leading to sub-optimal temperatures. Therefore, this study proposes a comprehensive data-driven robust model predictive control framework for greenhouse temperature control and its energy utilisation assessment in the presence of uncertainties. …"
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UGA-GAN: Unified Geometry-Aware GAN for Enhanced Training and Generation of High-Dimensional Data
منشور في 2025"…These results highlight the potential of UGA-GAN to significantly improve high-dimensional data generation tasks in domains such as medical imaging, video generation, and 3D object synthesis. …"
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GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review
منشور في 2025"…Our review shows that GANs were first applied to rolling bearing fault diagnosis in 2018, and their use has grown significantly since then. Among GAN variants, Wasserstein GANs (WGANs) and Conditional GANs (cGANs) have proven highly effective in generating realistic synthetic data, particularly when integrated with Convolutional Neural Networks (CNNs). …"
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Applying Graph Neural Networks to the Decision Version of Graph Combinatorial Optimization Problems
منشور في 2023"…<p dir="ltr">In recent years, there has been a significant increase in the application of graph neural networks on a wide range of different problems. …"
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Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment
منشور في 2025"…The primary contribution of this study lies in its systematic investigation of model optimization techniques for edge deployment, including Post-Training Quantization, Quantization-Aware Training, and Data Representative Quantization. …"
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50
MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model
منشور في 2025"…We introduce the Multi-Channel Data Fusion Network (MCDFN), a novel hybrid deep learning architecture integrating multiple data modalities for superior demand forecasting. …"
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
منشور في 2024"…The mathematical design and methodology of the complete PV system were detailed in our prior research, titled "Dynamic and Adaptive Maximum Power Point Tracking Using Sequential Monte Carlo Algorithm for Photovoltaic System" by Odat et al. (2023) [1]. The provided data facilitate precise replication of the output, saving significant simulation time. …"
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Sustainable Detoxification of Methylene Blue in Wastewater via Tea Residue Adsorption: Optimization and Kinetics
منشور في 2025"…The Sips model confirms significant heterogeneity. The Temkin model, which assumes that the heat of adsorption decreases linearly with coverage due to adsorbent-adsorbate interactions, aligns strongly with the data. …"
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Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
منشور في 2023"…By integrating energy efficiency measures within virtual organizations, which dynamically learn from real-time inhabitant data while prioritizing comfort, our approach effectively optimizes inhabitant consumption patterns, ushering in a new era of energy efficiency in the built environment.…"
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Cost Effective Transition Toward Electric Bus Fleets in Urban Transport
منشور في 2025احصل على النص الكامل
doctoralThesis -
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Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations
منشور في 2025"…Traditional methods often rely on centralized servers to gather and analyze consumption data, which can lead to significant privacy risks as personalized information becomes accessible online. …"
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Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm
منشور في 2024"…However, accurate modelling and identification of PV cell parameters pose challenges, prompting the adoption of meta‐heuristic optimization algorithms. This work explores the limitations of existing algorithms and introduces a novel approach, the bio‐dynamics grasshopper optimization algorithm (BDGOA). …"
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Optimization of Micro-Pollutants’ Removal from Wastewater Using Agricultural Waste-Derived Sustainable Adsorbent
منشور في 2021"…The experimental data were fitted to the empirical second-order model of a suitable degree for the maximum removal of PAHs and COD by the biochar. …"
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Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
منشور في 2017"…Data mining (also referred to as Data Knowledge Discovery) is the practice of examining a dataset to establish the hidden patterns and knowledge in order to represent the results in an understandable format. …"
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