7 Result(s)
within
Anuradha Chug
Computer Science
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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
Plant Foliage Disease Diagnosis Using Light-Weight Efficient Sequential CNN Model
The Precise and prompt identification of plant pathogens is essential to keep agricultural losses as low as possible. In recent time, deep convolution neural networks have seen an exponential growth in their u...
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Article
PDS-MCNet: a hybrid framework using MobileNetV2 with SiLU6 activation function and capsule networks for disease severity estimation in plants
Advanced technologies like deep learning have been widely implemented in various agricultural applications, including disease severity estimation. In this study, the authors have leveraged the computational ca...
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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
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...
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Chapter and Conference Paper
Improving Software Maintainability Prediction Using Hyperparameter Tuning of Baseline Machine Learning Algorithms
Software maintainability is a prime trait of software, measured as the ease with which new code lines can be added, obsolete ones can be deleted, and those having errors can be corrected. The significance of s...
