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Effective CBIR based on hybrid image features and multilevel approach
Content based image retrieval (CBIR) process can retrieve images by matching its feature set values. The proposed novel CBIR methodology called Effecti...
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Prediction of Phishing Websites Using Stacked Ensemble Method and Hybrid Features Selection Method
Phishing is considered a big concern in this age of data and digital technologies because of its significant influence on the banking and online...
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An improved approach for initial stage detection of laryngeal cancer using effective hybrid features and ensemble learning method
Squamous cell carcinoma (SCC) is one of the most common as well as deadliest kinds of laryngeal cancer. The precise and early identification of...
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BLSHF: Broad Learning System with Hybrid Features
Broad Learning System (BLS), a type of neural network with a non-iterative training mechanism and adaptive network structure, has attracted much...
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An Efficient BGP Anomaly Detection Scheme with Hybrid Graph Features
Border Gateway Protocol (BGP) is responsible for managing connectivity and reachability information between autonomous systems, and plays a critical...
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S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram
PurposeHuman emotion recognition using electroencephalograms (EEG) is a critical area of research in human–machine interfaces. Furthermore, EEG data...
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A BCI Speller with 120 Commands Encoded by Hybrid P300 and SSVEP Features
Implementing higher speed and larger command sets for brain-computer interfaces (BCIs) has always been the pursuit of researchers, which is helpful...
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A novel stock indices hybrid forecasting system based on features extraction and multi-objective optimizer
The stock index is a barometer of the market economy. However, there are few reliable methods to forecast the stock market accurately and steadily...
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Hybrid Recommendation of Movies Based on Deep Content Features
When a movie is uploaded to a movie Recommender System (e.g., YouTube), the system can exploit various forms of descriptive features (e.g., tags and...
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A framework for in-vivo human brain tumor detection using image augmentation and hybrid features
Brain tumor is caused by the uncontrolled and accelerated multiplication of cells in the brain. If not treated early enough, it can lead to death....
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Automatic speech emotion recognition based on hybrid features with ANN, LDA and K_NN classifiers
Despite many efforts in Speech Emotion Recognition, there is still a big gap between natural human feelings and computer perception. In this article,...
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Valuable Features of Hybrid Teaching in a Higher Education Context
Even if there is no precise definition of hybrid teaching, it is generally referred to as having both face-to-face and remote audiences for the same...
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Early prediction of sepsis using double fusion of deep features and handcrafted features
Sepsis is a life-threatening medical condition that is characterized by the dysregulated immune system response to infections, having both high...
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Innovative hybrid metaheuristic algorithms: exponential mutation and dual-swarm strategy for hybrid feature selection problem
Feature selection is an important pre-processing step aiming to reduce the number of features and increase feature space quality. This step helps...
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HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation
Physiotherapy exercises like extension, flexion, and rotation are an absolute necessity for patients of post stroke rehabilitation (PSR). A...
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Toward potential hybrid features evaluation using MLP-ANN binary classification model to tackle meaningful citations
Citation analysis-based systems are premised on assuming that all citations are equally important. The scientific community argues that a citation...
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Hybrid Simulations
A Fuzzy Cognitive Map can serve to externalize the mental model of an individual or group. However, mental models do not directly communicate, in the...
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Network traffic grant classification based on 1DCNN-TCN-GRU hybrid model
Accurate grant classification of network traffic not only assists service providers in making acceptable allocations based on actual business...
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Bee detection in bee hives using selective features from acoustic data
Honeybees, a key pollinator of the world’s most cultivated crops, are experiencing colony collapses due to a variety of factors. The existence of...
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Scattering-based hybrid network for facial attribute classification
Face attribute classification (FAC) is a high-profile problem in biometric verification and face retrieval. Although recent research has been devoted...