Computational Intelligence in Communications and Business Analytics
5th International Conference, CICBA 2023, Kalyani, India, January 27–28, 2023, Revised Selected Papers, Part I
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Article
Fuzzy rule-based hyperspectral band selection algorithm with ant colony optimization
The issue of band selection is extremely important in dealing with the plague of dimensionality in hyperspectral images. This study offers a hybrid band selection strategy based on the split-and-merge concept....
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Chapter and Conference Paper
Load Balancing in a Heterogeneous Cloud Environment with a New Cloudlet Scheduling Strategy
The idea of cloud computing has completely changed the digital world in the age of the internet. Cloud computing offers a variety of cloud services, including software (Software as a Service), platforms (Platf...
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Chapter and Conference Paper
Blockchain-Enabled IoV Framework for Establishing Automated Communication Using Smart Contract
A global network known as the Internet of Things (IoT) connects all sentient objects and allows inter-object communication. Internet of Vehicles (IoV) refers to the IoT-on-Wheels, wherein moving objects exchan...
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Chapter and Conference Paper
Efficient Partitioning of a Multi-dimensional Axis-Aligned Space into Uniform Non-overlap** Sub-spaces for Diverse Applications
This research presents an algorithm for efficiently subdividing an N-dimensional axis-aligned space into 2N sub-spaces, as if it is sliced by N, N-1 dimensional constructs which are each perpendicular to any one ...
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Book and Conference Proceedings
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Book and Conference Proceedings
Computational Intelligence in Communications and Business Analytics
5th International Conference, CICBA 2023, Kalyani, India, January 27–28, 2023, Revised Selected Papers, Part II
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Chapter and Conference Paper
Classification of Cricket Shots from Cricket Videos Using Self-attention Infused CNN-RNN (SAICNN-RNN)
Millions of people play and enjoy the game of cricket, however, classifying the diverse batting style and postures used frequently by the batsman during a cricket match has always been a difficult proposition....
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Chapter and Conference Paper
Estimation of Different Transformation Parameters Based on Optimised Scale Invariant Feature Transform for Image Registration
Image registration uses attributes or similarity measures to align images taken at various times or from different points of view. In this work, we provide an image registration parameter estimation approach b...
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Article
Performance Evaluation of Machine Learning Classifiers for Sudden Cardiac Arrest Detection
Sudden cardiac arrest (SCA) is a type of cardiovascular disease which attacks a person so promptly that it gives minimum time for hospitalization and may also lead to the patient death. In order to save the pa...
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Article
A hybrid structural feature extraction-based intelligent predictive approach for image registration
Based on characteristics or similarity metrics, image registration aligns various images acquired at different time frames or from different points of view. This is a common issue in image processing applicati...
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Chapter and Conference Paper
Robust Optimized Structural Feature-Based Transformation Parameter Estimation for Image Registration
and proficient image registration is a very energizing task. In this article, we propose optimized structural feature-based robust prediction models to predict the transformation parameters toward image...
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Chapter and Conference Paper
Sudden Cardiac Arrest Detection Based on Temporal Features of ECG Using Support Vector Machine Classifier
Sudden cardiac arrest (SCA) is caused due to malfunctioning in heart rhythm, and the patient needs to be hospitalized as early as possible just after the onset of SCA; otherwise, it can lead to the death of th...
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Article
Steganography in Color Animated Image Sequence for Secret Data Sharing Using Secure Hash Algorithm
Steganography is one of the leading strategy that is employed to hide restricted content into a cover media so that the person unaware of the fact can’t predict that the cover media can acquire some secret inf...
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Chapter and Conference Paper
Emotion Recognition Using Deep Learning in Pandemic with Real-time Email Alert
Emotion recognition is considered as one of the most vital and challenging studies in the domain of computer vision. Due to the ongoing pandemic the people’s emotional and mental state is getting affected due ...
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Chapter and Conference Paper
Comparative Study of the Effect of Different Fitness Functions in PSO Algorithm on Band Selection of Hyperspectral Imagery
The innate intricacy of hyperspectral images and the absence of the mark data set make the band selection a challenging task in hyperspectral imaging. Computational multifaceted nature can be decreased by dis...
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Chapter
Digital ID Generation and Management Framework Using Blockchain
In the age of digitization and Internet, one of the most compelling need is to have a user identity management system that is decentralized, secure, and interoperable across different online service domains. T...
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Chapter and Conference Paper
A Novel Equilibrium Optimization Technique for Band Selection of Hyperspectral Images
Band selection of hyperspectral images is a rising research area. Because of the shortage of the labeled information set of hyperspectral imagery, it is additionally challenging task. Band selection problem ca...
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Chapter and Conference Paper
A Shallow Approach to Gradient Boosting (XGBoosts) for Prediction of the Box Office Revenue of a Movie
In the recent past, machine learning paradigms like the ensemble approaches have been used effectively to predict revenue from large volumes of sales data that helped the decision-making process in many busine...
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Article
Special issue on software solutions for contemporary applications
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Chapter
A Linear Regression-Based Resource Utilization Prediction Policy for Live Migration in Cloud Computing
new emerging state-of-the-art challenging research area has been found in cloud computing. Cloud Computing is an idea, rely on service and delivery, it is distributed over the Internet and governed by...
