5 Result(s)
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Article
Revisiting activation functions: empirical evaluation for image understanding and classification
In this paper, the authors have devised four novel activation functions by coupling and combining a few existing functions implemented with four standard CNN architectures namely VGG19, ResNet50, InceptionV3, ...
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Article
Plant Disease Detection and Severity Assessment Using Image Processing and Deep Learning Techniques
Efficient plant disease detection and severity assessment are crucial not just for agricultural purposes but also for global health, economics, as well as ecological sustainability. With the help of innovative...
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Article
Classification of crop leaf diseases using image to image translation with deep-dream
Crop diseases are one of the primary triggers of yield devastation. As a result, early detection of crop diseases is critical to avert crop losses. In this study, a Deep-Dream (DD) based crop leaf disease dete...
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Chapter and Conference Paper
A Forecasting Technique for Powdery Mildew Disease Prediction in Tomato Plants
In the current scenario, plant disease detection is seeking attention from many agricultural scientists. Plant diseases are deeply influenced by the weather conditions, and each disease has its individual weat...
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Chapter
Breast Cancer Prediction Using Nature Inspired Algorithm
Medical industry, though various researches over decades, has figured out breast cancer to be one of the most common diseases in women. Studies have shown that every eighth woman is suffering from it. This res...
