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Article
HARNet: design and evaluation of a deep genetic algorithm for recognizing yoga postures
The research presents an interactive toy agent leveraging a deep learning approach for treating autistic kids by making them learn Yoga. The objective of the proposed toy is to understand the basic needs of au...
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Chapter and Conference Paper
Correction to: IAM Dataset-Based Author Identification via Convolutional Neural Networks
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Chapter and Conference Paper
IAM Dataset-Based Author Identification via Convolutional Neural Networks
Optical character recognition (OCR) has emerged as a crucial technology in the field of document analysis and text processing. This paper presents a novel approach to OCR utilizing the IAM dataset, a widely re...
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Chapter
LeafNet: Design and Evaluation of a Deep CNN Model for Recognition of Diseases in Plant Leaves
Leaf disease prediction is an important problem in agriculture because it impacts crop yield and quality. It is feasible to reliably predict leaf detection uses in machine learning and image processing algorit...
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Chapter and Conference Paper
Regression to Forecast: An In-Play Outcome Prediction for One-Day Cricket Matches
The paper presents a technique for predicting the outcome of an ongoing cricket match. A robust prediction is obtained by taking into account the quality of players and form of the team in addition to the toss...
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Chapter and Conference Paper
Designing a Smart Speaking System for Voiceless Community
Voiceless people are facing a lot of issues in establishing a communication with normal people. Usually, the normal people are not professionally trained in sign language, and hence, it becomes very hard to es...
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Chapter
HARfog: An Ensemble Deep Learning Model for Activity Recognition Leveraging IoT and Fog Architectures
Ambulatory monitoring has become predominant in today's world where monitoring and recognition of activities and physiological parameters of human beings are required. Continuous monitoring of physiological pa...
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Chapter
Paradigms for Intelligent IOT Architecture
Recent researches in IOT bring out smartness with the basis of machine learning techniques. IOT architecture describes the gateways or fog, an analysis engine and an insight layer. These layers are embedded be...
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Chapter and Conference Paper
Design and Evaluation of a Hybrid Hierarchical Feature Tree Based Authorship Inference Technique
Authorship inference refers to the task of identifying the writer of a handwritten document. We propose a feature tree based supervised learning technique for solving the authorship inference problem. A combin...
