Neural Networks and Deep Learning

Utilize the Prediction Results from the Neural Network Gate Recurrent Unit (GRU) Model to Optimize Reactive Power Usage in High-Rise Buildings.

A Rofii, B Soerowirdjo, R Irawan… - … Journal of Robotics …, 2024 - search.ebscohost.com
The growing urbanization and the construction sector, efficient use of electric energy
becomes important, especially the use of reactive power. If excessive use causes decreased …
被引用次数：2 相关文章 所有 2 个版本

Strawberry disease detection using transfer learning of deep convolutional neural networks

S Karki, JK Basak, N Tamrakar, NC Deb, B Paudel… - Scientia …, 2024 - Elsevier
The impact of disease on strawberry quality and yield holds considerable significance,
prompting researchers to explore effective methodologies for disease detection in …
相关文章 所有 3 个版本

Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning technology

Y Zhu, Q Jia, K Zhang, Y Li, Z Li, H Wang - Frontiers of Structural and Civil …, 2023 - Springer
Concrete is widely used in various large construction projects owing to its high durability,
compressive strength, and plasticity. However, the tensile strength of concrete is low, and …
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Cyber-physical System Supporting the Production Technology of Steel Mill Products Based on Ladle Furnace Tracking and Sensor Networks

P Hajder, A Opaliński, M Pernach, Ł Sztangret… - International Conference …, 2023 - Springer
The use of information technologies in industry is growing year by year. More and more
advanced devices are implemented and the software needed for them becomes more …
被引用次数：1 相关文章 所有 2 个版本

Machine Learning: A Comprehensive Exploration of Fault Detection and Diagnosis in Smart Grids

P Onu, C Mbohwa, A Pradhan - 2023 International Conference …, 2023 - ieeexplore.ieee.org
The increasing complexity of smart grids, driven by the integration of renewable energy
sources and advanced technologies, presents new challenges for Fault Detection and …
被引用次数：3 相关文章 所有 2 个版本