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Chapter and Conference Paper
Leveraging Machine Learning for Comprehensive Analysis of Maternal Health: Predicting Health Risks and Improving Antenatal Care
The health of the mother is crucial to the well-being of the baby throughout pregnancy. Early treatments and individualized care may be more effective when maternal health hazards are properly classified. In t...
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Chapter and Conference Paper
Classification of Swarm Collective Motion Using Machine Learning
One of the subfields of artificial intelligence (AI) technology is machine learning. The basic goal is to develop robots that can learn in the same way that humans can. “Learning” here refers to seeing, compre...
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Chapter and Conference Paper
Energy Minimization of Cloud Computing Data Center Strategies, Research Questions: A Survey
Large client models use cloud computing because it has several benefits, including minimizing cost of construction resources and its elasticity property which enables services to also be up or down to current ...
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Chapter and Conference Paper
Transferring Pre-trained Deep CNNs on Plantar Thermograms for Diabetic Foot Disease
Machine learning provides a plethora of approaches for tackling categorization problems, i.e., determining whether or not a data item belongs to a particular class. When the objective is to accurately classify...
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Chapter and Conference Paper
Performance Evaluation of Optimizers in the Classification of Marble Surface Quality Using CNN
The recital of a convolutional neural network (CNN) is dependent on several things (i.e., optimization, weight initialization, network topology, batches and epochs and activation/loss function and learning rat...
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Chapter and Conference Paper
Impact of IDMA Scheme on Power Line Communication
Electrical power delivery is the primary function of power line distribution networks. This paper describes an “Interleave-Division Multiple Access (IDMA)” system that can alleviate various difficulties caused...
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Chapter and Conference Paper
Impacts on Health Frameworks of Big Data Analytics: A Review
Due to its volume, varied complexity, and high dynamics of data sources in health organisations, the health industry has been affected and improved from the presence of big data. Though the usage of big data a...
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Chapter and Conference Paper
Web Recommendation by Exploiting User Profile and Collaborative Filtering
Collaborative filtering is a methodology which thinks about the profile of the active client as well as the neighborhood of the active client with comparable inclinations, while suggesting the things. Collabor...
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Chapter and Conference Paper
Investigating Efficacy of Transfer Learning for Fruit Classification
Automated artefact identification and classification are a highly coveted field of study in a wide variety of commercial fields. While humans can easily discern objects with a high degree of multi-granular sim...
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Chapter and Conference Paper
Intelligent Heart Disease Prediction System Using Data Mining Modeling Techniques
Most of the time reason for death is considered as due to heart disease throughout the world. Usually, heart disease cannot be predicted by medical doctors in the early stage of the disease. The modern growth ...
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Chapter and Conference Paper
Quantum Layer-Inspired Deep Learning for Mechanical Parts Classification
Quantum level matter physics is a macroscopic level of study for particle behavior. Simultaneously, deep learning algorithms help in training the machines to behave as the human brain do. Presently, deep learn...
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Chapter and Conference Paper
Issues, Challenges, and Possibilities in IoT and Cloud Computing
As the Industrial Internet of Things (IIoT) continues to grow, it generates an enormous amount of data from several sources. To retain all raw data locally in IIoT devices is unfeasible because of the energy a...
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Chapter and Conference Paper
Plummeting Makespan by Proficient Workflow Scheduling in Cloud
Cloud Computing is rapidly gaining popularity because it provides a platform for deploying a variety of science applications and minimize the overhead and expense of procuring infrastructure services. The clou...
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Chapter and Conference Paper
Physiological Signals Based Anxiety Detection Using Ensemble Machine Learning
Generalized Anxiety disorder (GAD) is a neurological disorder that is mentioned in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-V), as well as its prevalence is also on a high ...
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Chapter and Conference Paper
Measuring the Bytecode Quality of Object-Oriented Software
Software metrics can be delineated as the practice of quantifying various characteristics of the software development process in order to obtain valuable and pertinent information for effectual management thro...
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Chapter and Conference Paper
Honey Encryption: Fortification Beyond the Brute-Force Impediment
Honey encryption is a technique to protect private data once it is put on the network. The techniques used earlier include password-based encryption techniques which seldom survive brute-force attack. A brute-...