Titlebook: Emerging Electronics and Automation; Select Proceedings o Moncef Gabbouj,Shyam Sudhir Pandey,Ranjay Hazra Conference proceedings 2024 The E

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易怒

Algorithm to Assist Visually Impaired Person for Object Detection in Real Time for them to carry out daily tasks. People who are visually challenged frequently carry a white cane or guide dogs to help them see any impediments in their path. The proposed system can recognize objects in front of the blind person. For object detection and obstacle avoidance, the design includes

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Effect of?Shallow Learning Techniques and?Feature Selection for?Breast Cancer Detectionr detection are done either using deep learning models or heavily concentrated neural networks that require high computational machine and large datasets. This paper incorporates four shallow machine learning models, i.e., Naive Bayes (Both Gaussian and Categorical), K-Nearest Neighbor (KNN), and De

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A Data Analytics-Based Study in SARS-CoV-2 Genome Revealed a Commonality in the Infection Pattern rapid infectious and mutational capability of the virus, the infection spread across world infecting over 600 million people and causing more than six million deaths. Our aim was to examine the differential mutation profile of SARS-CoV-2 isolated from the deceased and alive patients in order to und

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Synchronism

Conference proceedings 2024eedings aim to provide the reader with a view of the latest scientific efforts and achievements of the participants in the emerging fields including instrumentation, control, signal processing, communication, and associated computational techniques. It covers diverse fields of electronics, computati

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天賦

https://doi.org/10.1007/978-3-322-96033-7s available for the blind but challenge lies in how fast is the real-time object detection. The algorithm presented in this paper is faster than the algorithms that were presented earlier for object detection for assistive aids for blinds.

Aura231

https://doi.org/10.1007/978-3-663-01492-8 classification. An extensive data exploration and visualization is carried out for added understanding and correlation. On testing the different models, Gaussian Naive Bayes and Decision Tree managed to achieve the best accuracies with a highest accuracy of 97.36% and 96.61%, respectively.

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