632 Result(s)
within
Chapter
**e **an
Engineering
Algorithm Analysis and Problem Complexity
Artificial Intelligence
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Chapter and Conference Paper
Fixed-MAML for Few-shot Classification in Multilingual Speech Emotion Recognition
In this paper, we analyze the feasibility of applying few-shot learning to speech emotion recognition task (SER). The current speech emotion recognition models work exceptionally well but fail when then input ...
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Chapter and Conference Paper
Prediction of Mental Stress Level Based on Machine Learning
Stress is becoming an important factor in a person’s life today. According to the World Health Organization, stress is a type of mental illness that affects the health of citizens. There is no one in the world...
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Chapter and Conference Paper
Deepfake Images, Videos Generation, and Detection Techniques Using Deep Learning
Deep learning is utilized as a deepfake detection and creation method. Deepfake produces fake videos and images, which are difficult to distinguish between authentic images or videos. A free software learning ...
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Chapter and Conference Paper
A Novel Classification of Cancer Based on Tumor RNA-Sequence (RNA-Seq) Gene Expression
Recently, cancer has become one of the causes of death. It is necessary to actively seek the most effective solutions for the treatment and diagnosis of cancer. Recently, rapidly enhance the computing power an...
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Chapter and Conference Paper
Classifying Skin Cancer Images Based on Machine Learning Algorithms and a CNN Model
is a disorder that has been affecting numerous amount of people since centuries. Skin disease can be temporary or permanent and may be painless or more painful. Some have situational impact like ultraviolet...
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Chapter and Conference Paper
Comparative Study on Different Classification Models for Customer Churn Problem
Customer churn is a significant issue and one of the most pressing challenges for large businesses. Companies are working to create methods to predict prospective client churn because it has such a direct impa...
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Chapter and Conference Paper
Artificial Intelligence Aided Neurodevelopmental Disorders Diagnosis: Techniques Revisited
The use of machine learning and deep learning for clinical diagnosis of various disorders such as Parkinson’s or Alzheimer’s diseases is swiftly increasing in contemporary times. The need for critical and prec...
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Chapter and Conference Paper
Autism Detection Using Machine Learning Approach: A Review
Mental health awareness among children is an essential conversation that paves the way to the bright future of the individual and the entire nation. On this consideration, here, we attempted to forefront a neu...
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Chapter and Conference Paper
Augmentation of Handwritten Devanagari Character Dataset Using DCGAN
machine learning applications require training datasets containing enormous amounts of data. Generating such huge amounts of data is quite a formidable task in machine learning tasks such as handwritt...
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Chapter and Conference Paper
A Hybrid Deep Learning Model for Human Activity Recognition Using Wearable Sensors
Human activity recognition is the most important field for supporting the everyday lives of elderly people and sometimes finding out suffering to several cognitive dysfunctions like Parkinson's disease and dem...
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Chapter and Conference Paper
COVID-19 Detection Using Chest X-rays: CNN as a Classifier Versus CNN as a Feature Extractor
COVID-19 is a highly contagious disease and has spread worldwide affecting the lives of millions of people. As there are no specific treatments available, it is crucial to diagnose the disease early ...
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Chapter and Conference Paper
Ensemble Semi-supervised Machine Learning Algorithm for Classifying Complaint Tweets
Nowadays, social media platforms, specifically Twitter, are considered as the convenient and fastest mode of sharing all the urban issues. Extracting the grievance tweets for further analysis to get the better...
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Chapter and Conference Paper
Multiclass Image Classification Using OAA-SVM
Automatic image classification is a fundamental application of computer vision and machine learning. It employs feature extraction and classification. In this paper visible features like color and textures are...
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Chapter and Conference Paper
EEG Seizure Detection Using SVM Classifier and Genetic Algorithm
Among all the neurological disorders, the epileptic seizure has become one of the most common disorders which affect people regardless of age. While electroencephalography (EEG) is the most common method to mo...
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Chapter and Conference Paper
A Novel Approach for Semantic Microservices Description and Discovery Toward Smarter Applications
The microservices architecture (MSA) pattern intrinsically facilitates the continuous delivery and deployment of microservices-centric applications. Not only enabling producing enterprise-scale applications fr...
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Chapter and Conference Paper
Modelling and Visualisation of Traffic Accidents in Botswana Using Data Mining
Road traffic accidents (RTAs) are the major cause of deaths worldwide, which imposes a substantial economic burden on the society. RTAs are triggered by several factors that can manifest individually or in ass...
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Chapter and Conference Paper
Application of Reinforcement Learning in Control Systems for Designing Controllers
design for real-world systems is a crucial step to govern the behavior of a target system. There is a rich theory behind the controller’s design that has tackled real-world systems. PID controller is such a...
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Chapter and Conference Paper
Collaborative Network Security for Virtual Machine in Cloud Computing for Multi-tenant Data Center
The updated version and techniques of network computing lead to development of cloud computing. This cloud computing can offer both software and hardware resources based on the demand over the Internet service...
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Chapter and Conference Paper
An Highly Robust Image Forgery Detection Using STPPL-HBCNN and Region Detection Using DBSCAN-ACYOLOv2 Technique
In an assortment of fields, like cyber forensics, newspapers, magazines, courts, medical field, and numerous more, digital images play a major role. Thus, the trustfulness of an image’s contents is extremely v...
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Chapter and Conference Paper
Robust Object Detection and Tracking in Flood Surveillance Videos
detection has shown significant improvements in recent days due to advancements in deep learning technologies. Flooding being one of the major disasters leads to loss of life and property. Object detect...
