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Detecting GAN-generated face images via hybrid texture and sensor noise based features
Recent advances in Generative Adversarial Network (GAN) have made it considerably easy to generate photo-realistic images. However, when...
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Crop map** through hybrid capsule transient auto-encoder technique based on radar features
Agriculture is considered as the important field which makes its huge contribution over the country’s economic growth. The yield of food crops and...
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Improved writer retrieval in handwritten documents using hybrid combination
Writer retrieval has valuable applications in analyzing handwritten documents, such as the verification of authenticity and authorship of unknown...
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EEG-based multimodal emotion recognition with optimal trained hybrid classifier
The ability of EEG signals to identify changes in human brain states has made researchers analyze the emotion with this signal. However, only limited...
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Hybrid model with improved score level fusion for heart disease classification
The heart, an essential organ of the body, pumps blood filled with oxygen to every area of the body through a complex network of veins and arteries....
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Legal sentence boundary detection using hybrid deep learning and statistical models
Sentence boundary detection (SBD) represents an important first step in natural language processing since accurately identifying sentence boundaries...
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Hyperspectral Image Classification Based on 3D–2D Hybrid Convolution and Graph Attention Mechanism
Convolutional neural networks and graph convolutional neural networks are two classical deep learning models that have been widely used in...
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Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework
Nowadays, online course recommendation frameworks are popular for suggesting courses to new learners. Various courses are available on the Internet,...
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Decision Support System for Predicting Ventricular Arrhythmias Using Non-linear Features of ECG Signals
Automated methods using computer-aided decision-making process are effectively used for timely detection of VAs which are the most life-threatening...
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Identification of durum wheat grains by using hybrid convolution neural network and deep features
Convolution neural network (CNN) is a deep learning technique widely used in object identification and classification. One of the objects that are...
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Learning optimal deep prototypes for video retrieval systems with hybrid SVM-softmax layer
The research focuses on optimizing training time for video retrieval by producing optimized prototypes for a hybrid SVM-softmax regression...
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Deep Learning Based Hybrid Intrusion Detection Systems to Protect Satellite Networks
Despite the fact that satellite-terrestrial systems have advantages such as high throughput, low latency, and low energy consumption, as well as low...
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Efficient hybrid optimization based feature selection and classification on high dimensional dataset
With the vast usage of intelligent information systems (ISs), the tremendous increase in data volume creates numerous problems and challenges, such...
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Analysis of contextual features’ granularity for fake news detection
While the world is battling COVID-19 pandemic and its variants; netizens are combating Infodemic – “Proliferation of fake news online”. Spread of...
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Hybrid multi-modal emotion recognition framework based on InceptionV3DenseNet
Emotion recognition is one of the most complex research areas as individuals express emotional cues based on several modalities such as audio, facial...
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Optimized Hybrid Model for COVID-19 Vaccine Sentiment Analysis for Hindi Text
A new virus disease called COVID-19, which first appeared in 2019, caused a global economic and health disaster. Millions of people infected with...
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Optical electrocardiogram based heart disease prediction using hybrid deep learning
The diagnosis and categorization of cardiac disease using the low-cost tool electrocardiogram (ECG) becomes an intriguing study topic when...
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Hybrid Whale Optimization and Canonical Correlation based COVID-19 Classification Approach
The COVID-19 worldwide pandemic has become a great challenge for medical systems. Early detection of coronavirus increases the cure rate and saves...
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Speaker recognition using Improved Butterfly Optimization Algorithm with hybrid Long Short Term Memory network
Speaker recognition is extensively applied in several applications, namely identity verification, electronic voice eavesdrop**, surveillance, voice...
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Multimodal emotion recognition model via hybrid model with improved feature level fusion on facial and EEG feature set
In recent years, academics have placed a high value on multi-modal emotion identification, as well as extensive research has been conducted in the...
