Titlebook: Artificial Intelligence of Things; First International Rama Krishna Challa,Gagangeet Singh Aujla,Kanika S Conference proceedings 2024 The

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Antenna Array Fault Detection Using Logistic Regression Technique its radiation pattern, and its directivity pattern gets disturbed. Fault in elements of the array antenna enhances the side lobe levels; To tackle this kind of issue, pattern regeneration techniques can be utilized, but for that, the detection of the faulty element is needed. Hence to cater this ki

脊椎動(dòng)物

Internet Based Routing in Vehicular Named Data Networkingthe mobile nature of the vehicular nodes that causes a change in the location of consumers, producers, and intermediate nodes. Named Data Networking (NDN), when implemented on vehicular networks provides support for efficient data retrieval and mobility. This new paradigm, dubbed Vehicular Named Dat

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Deep Learning Based Face Recognition System for Automated Identificationrol, and human-computer interaction. In recent years, deep learning has revolutionized the field of face recognition by significantly improving accuracy and robustness. This abstract presents an overview of a deep learning-based face recognition system developed for automated identification purposes

Hyperalgesia

Desirability Function Analysis Based Optimization of the On-Machine Diameter Measurement Using Machi with the aim of a swift, reliable, error-proof measuring system with minimum human intervention. The use of an IoT system integrated with a machine vision system has a great advantage which improves the overall performance of the system. Such a system can work under a complex system environment. Th

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埋伏

Machine Learning Based Incipient Fault Diagnosis of Induction Motorhod described in this paper. The objectives of this paper is to get high accuracy in predicting the fault of a machine and reduce the training time period of the model. Prediction of electrical and mechanical faults is achieved by monitoring the acoustic signal and analyzing it to identify deviation

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