Titlebook: Engineering Applications of Neural Networks; 23rd International C Lazaros Iliadis,Chrisina Jayne,Elias Pimenidis Conference proceedings 202

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An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmonacultural fish are severely affected by lice, maturity, wounds, and other harmful factors typically part of agricultural fish, resulting in millions of fish deaths. Unfortunately, diagnosing injuries and wounds in live salmon fish is difficult. However, this study uses image-based machine learning a

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Autoregressive Deep Learning Models for Bridge Strain Predictionir long-term structural deterioration. Thus, monitoring and maintaining the urban infrastructure is critical for the resilience. In this research, the authors present a modeling approach, for the prediction of future strain values in a . Bridge, based on eleven Deep Learning (DL) algorithms. Previou

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ITSC Fault Diagnosis in?Permanent Magnet Synchronous Motor Drives Using Shallow CNNsith high downtime costs like offshore equipment. Inter-turn short-circuit (ITSC) fault is one of the most typical PMSM faults and therefore is its early diagnostics in real-time highly valuable. Solving the problem using conventional signal, model-based, or data-driven approaches faces challenges su

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Synopsis of Video Files Using Neural Networksthe main moving objects in a single scene. This allows for file length reduction thus optimization of the analysis and storage of video surveillance footage. The proposed framework is based on modern methods in the field of machine learning for the automatic recognition and localization of objects i

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Engineering Applications of Neural Networks978-3-031-08223-8Series ISSN 1865-0929 Series E-ISSN 1865-0937

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https://doi.org/10.1007/978-3-031-08223-8artificial intelligence; computer hardware; computer networks; computer systems; computer vision; correla