Study on Identifying the Cattle Diseases Using Artificial Intelligence Techniques

Livestock is one of India’s most important industries. There are 56.7 percent buffaloes, 12.5 percent cattle, 20.4 percent small ruminants, 2.4 percent camels, 1.4 percent equestrian, 1.5 percent pigs, and 3.1 percent poultry in the country. The average production of

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A Learning-rate Optimization Technique for Object Detection Accuracy Enhancement

Because of their specific capability for Image Recognition, Deep Learning [1] models have recently been used primarily in Object Detection algorithms. These models extract features from input images and videos [2] to identify items present. Image processing, video analysis, speech

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Using a Content-Based Filtering Approach, Advanced Study on Spam Detection and Spammer Behavior Analysis on Twitter

Because Twitter is one of the most widely used social media platforms, it is prone to abuse. Spamming is one of the ways that people abuse Twitter. Spam becomes a problem when a communication medium, particularly one that allows worldwide

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Classification of High-resolution Images with Local Binary Pattern and Convolutional Neural Network: An Advanced Study

It is very important to accurately classify high-resolution satellite images and to classify each section of the image separately. Complex patterns, on the other hand, are difficult to identify. To address this issue, the deep learning method is being used.

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A Novel Approach for Predicting Disease in Plant Using Hybrid Deep Convolutional Neural Network

Agriculture is India’s most important economic industry. The detection of plant diseases is a key concern in the agriculture industry. An accurate and speedier identification of plant diseases, resulting in significant reductions in economic losses. Manually monitoring plant leaf disease

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Research on Automatic Crack Detection for Concrete Infrastructures Using Image Processing and Deep Learning

Automatic crack detection is a critical task in the generation of a crack map for existing concrete infrastructure inspection. This paper describes an automatic crack detection and classification method based on a genetic algorithm (GA) for optimizing image processing technique

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Recent Study on Breast Cancer Prediction Based on Deep Neural Network Model Implemented AWS Machine Learning Platform

Breast cancer is one of the most severe tumours in women, and developing breast tissue can result in mortality. Surgery, radiation, chemicals in combination with hormone therapy, and biological therapy are only a few of the current treatments for breast

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