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Article
Artificial Intelligence Techniques for the effective diagnosis of Alzheimer’s Disease: A Review
Alzheimer's disease (AD) is a progressive and irreversible neurological disorder that leads to memory loss and cognitive decline. It is a prevalent form of dementia among individuals aged 65 and above. Accurat...
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Article
Open AccessA network intrusion detection framework on sparse deep denoising auto-encoder for dimensionality reduction
In today's internet-driven world, a multitude of attacks occurs daily, propelled by a vast user base. The effective detection of these numerous attacks is a growing area of research, primarily accomplished thr...
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Chapter and Conference Paper
Deep Learning Models for COVID-19 and Pneumonia Detection
In the recent years of development, deep learning (DL) is very useful in all fields with the growing availability of data. The main goal of DL technology is to make faster, reliable, and good decisions. Becaus...
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Article
Ensemble machine learning regression model based predictive framework for Parkinson’s UPDRS motor score prediction from speech data
“Parkinson’s disease (PD)” is a neurological illness that adversely affects many people. It is critical to make an accurate diagnosis of this condition in its initial phases if it is to be treated effectively....
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Article
Customized decision tree-based approach for classification of soil on cloud environment
Agriculture is the economic backbone and the main means of livelihood in numerous develo** countries. Numerous challenges related to farming and agriculturists exist. Cultivators face crop loss due to inappr...
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Article
Logistic random forest boosting technique for Alzheimer’s diagnosis
Alzheimer's disease (AD) is a common and well-known neurodegenerative condition that causes cognitive impairment. In the field of medicine, it is the "nervous system" disorder that has received the most attent...
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Chapter and Conference Paper
Predictive Pricing Model for Shared Economy Ride Applications: Incorporating Latest Data and Factors
The shared economy has transformed the way individuals travel, with apps for ridesharing such as Uber and Lyft acquiring immense traction over the past few years. However, due to the constantly changing and co...
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Chapter and Conference Paper
Machine Learning Framework for Prediction of Parkinson’s Disease in Cloud Environment
Parkinson’s disease signifies a neurological illness caused by a gradual neural system problem. The signs appear progressively, occasionally beginning with a scarcely noticeable tremor in a single hand. The sp...
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Chapter
Quality of Life Estimation Using a Convolutional Neural Network Technique
Life quality is a well-being metric that considers physical and mental health as well as social activities. A novel method for assessing a user’s life quality score is presented, which employs a deep learning ...
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Article
Cancer diagnosis using artificial intelligence: a review
Artificial intelligence (AI) is the usage of scientific techniques to simulate human intellectual skills and to tackle complex medical issues involving complicated genetic defects such as cancer. The rapid exp...
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Chapter and Conference Paper
Machine Learning-Based Air Pollution Prediction
Due to urbanization, air pollution (AP) has become a vital issue. AP is adversely impacting the humanity by causing asthma and other air-borne diseases. The accurate prediction of AP can aid in ensuring public...
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Chapter and Conference Paper
Regression Based Data Pre-processing Technique for Predicting Missing Values
Missing values in datasets are caused by various reasons. These missing values in datasets adversely impact the performance of data mining (DM) algorithms. These values can be ignored if there are large number...
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Chapter and Conference Paper
Machine Learning-Based Ensemble Network Security System
A vital issue related to security for systems that are interconnected is the undesirable intrusions by agents. Various types of attacks are possible by the intruders. The attacks are associated with network se...
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Chapter and Conference Paper
Decision Tree Based Crop Yield Prediction Using Agro-climatic Parameters
The extraction of embedded knowledge from data is the fundamental task of data mining (DM). This extracted knowledge should be understandable to the end user. Earlier, statistical methods were utilized for the...
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Chapter and Conference Paper
Crop and Fertilizer Recommendation System Based on Soil Classification
Agriculture forms a major occupation in countries like India. More than 75% people rely on farming for their daily wages. Hence, achieving good yield in the crops grown by farmers is the major concern. Various...
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Chapter and Conference Paper
Machine Learning Based Consumer Credit Risk Prediction
In the financial domain, estimating the credit risk has a great significance in management activity, like lending the money to those who are in need for it. Credit risk (CR) points out to the possibility of th...
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Chapter and Conference Paper
Prediction of Autism in Children with Down’s Syndrome Using Machine Learning Algorithms
Many human diseases that have a causative association with genetic components are defined as inherited diseases. It is a very difficult task to identify the different variants linked with inherited diseases us...
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Chapter and Conference Paper
Predictive Analysis Model for Mental Health
In today’s world having a population of 7, 4 billion people use social media amongst which 300 million are suffering from depression. Suicide being a key reason of fatality amongst 15–29 years of age group whi...
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Chapter
Computational Intelligence, Machine Learning and Deep Learning Techniques for Effective Future Predictions of COVID-19: A Review
As per the World Health Organization (WHO), Coronaviruses represents a huge virus family that creates diseases in humans/animals. The newly discovered coronavirus is known as Covid-19 (Cov-19). In December 201...
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Chapter
Machine Learning for Business Analytics: Case Studies and Open Research Problems
Business analytics (BA) refers to the process of organizing, processing, and examining business data for the purpose of gaining useful information that can be used to resolve problems and enhance the efficienc...
