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Article
An emergence of technological aids using machine learning algorithms to curtail the mounting manifestation of dyspraxia
Dyslexia and Dyspraxia are prevalent learning disabilities that significantly impact individuals’ abilities to read, write, and coordinate movements. Over the years, researchers have developed cognitive models...
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Article
Hybrid machine learning techniques for gender identification from handwritten images using textural features
Gender identification and classification from handwritten images are a challenging problem that has attracted considerable attention recently. Automatically determining a person’s gender from their handwriting...
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Article
Orthogonal frequency multiplexing division based modulation recognition using deep belief network with tangent search optimization in wireless optic communication
Many important signal processing applications are made possible by automatic modulation classification (AMC). More advanced than traditional machine learning (ML) techniques connected to hand-crafted features,...
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Article
Digital code modulation-based MIMO system for underwater localization and navigation using MAP algorithm
This paper aims to suggest a digital code-modulated MIMO system suitable for underwater localization and navigation application based on MAP (maximum a posteriori probability) algorithm. A MIMO system becomes ...
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Article
Block chain-based security and privacy framework for point of care health care IoT devices
As a consequence of linking technological advances, the IoE (Internet of Everything) and smarter living concepts have been formed. For enhancing people’s standard of living, getting anything intelligent become...
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Article
IoT based energy efficient multipath power control for underwater sensor network
Significant issues in underwater sensor networks are fuel-efficient organization and are highly dependable communication and the multipath transfer devices that are caused by restricted battery power of the un...
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Article
OneHotEncoding and LSTM-based deep learning models for protein secondary structure prediction
Protein Secondary Structure (PSS) prediction emerges as a hot topic in the area of bioinformatics.PSS helps to predict the tertiary structure and helps to understand its structures, which in turn helps to desi...
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Chapter and Conference Paper
Conversion of NAM to Normal Speech Based on Stochastic Binary Cat Swarm Optimization Algorithm
Speech recognition plays an important role in a variety of applications for mobile communication. User communication devices for contact necessitate a broad vocabulary recognition scheme, greater precision, an...
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Chapter and Conference Paper
Deep Learning Application of Image Recognition Based on Self-driving Vehicle
A CNN (Convolutional Neural Network) is an artificial neural network used to evaluate visual pictures. It is used for visual image processing and is categorised as a deep neural network in deep learning. So, u...
