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Chapter and Conference Paper
Deep CNN Based Alzheimer Analysis in MRI Using Clinical Dementia Rating
Globally, Neurological disorders are a major health concern affecting a population of billions worldwide. There’s a need for accurate and timely diagnosis of brain disorders to improve patient outcomes and rev...
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Chapter and Conference Paper
Comparative Analysis of Wind Power Forecasting Using LSTM, BiLSTM, and GRU
Artificial intelligence (AI) technology is rapidly evolving, and its applications in big data analytics and practices are becoming increasingly diverse. Deep learning-based time series prediction, such as LSTM...
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Chapter and Conference Paper
Crop Yield Prediction Using Weather Data and NDVI Time Series Data
Agriculture is the main part of India’s economy which provides food security for the country and produces several raw materials for the industries. The development in agriculture is an important aspect in the ...
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Chapter
Geospatial BigData and Its Applications
In the modern world of developments in geospatial data capture techniques, the data handling of geospatial data as big data is pivotal. The most of real world data is available in an unstructured form. While s...
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Chapter and Conference Paper
CNN for Detection of COVID-19 Using Chest X-Ray Images
Coronavirus spread globally in the late 2019, causing the whole world to face an existential health crisis. According to the recent report, animals may also get infected by the virus, so something needs to be ...
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Chapter
High-Performance Computing: A Deep Learning Perspective
High-performance computing (HPC) is achieved from parallel processing and nowadays, it can also be achieved from distributed processing techniques for solving complex compute-intensive and data-intensive appli...
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Chapter
Understanding Deep Learning: Case Study Based Approach
Deep learning is a much focused domain of artificial neural networks. Deep learning algorithms try to learn massive amounts of unlabelled data and make a better analysis. With deep learning, all layers learn t...
