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Cancelable fingerprint template protection based on random quantization and improved bloom filter
Improving privacy and security in biometric systems requires addressing vulnerabilities in existing cancelable fingerprint templates based on bloom...
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Enhancing sustainable 5G powered agriculture 4.0 : Summary of low power connectivity, internet of UAV things, AI solutions and research trends
Emerging technologies of Agriculture 4.0 such as the Internet of Things (IoT), Cloud Computing, Artificial Intelligence (AI), and 5G network services...
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A vision-based hybrid ensemble learning approach for classification of gait disorders
Computer vision-based (VB) gait analysis has become the popular platform for detecting Knee Osteoarthritis (KOA) and Parkinson’s disease (PD). The...
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A novel brain tumor segmentation and classification model using deep neural network over MRI-flair images
Brain tumors pose a significant health concern globally, with their detection and diagnosis being crucial for timely intervention and treatment...
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AN efficient deep learning with an optimization framework to analyse the eeg signals
Electroencephalogram (EEG) signals can offer a mode to communicate with the humans and outside world. Also, the human brain is negatively affected...
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Prompt-optimized self-supervised double-tower contextualized topic model
Microblog has a large amount of data and is updated quickly with current events. Unsupervised machine learning models are used for the topic...
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FLBC-IDS: a federated learning and blockchain-based intrusion detection system for secure IoT environments
The development of the Internet of Things (IoT) in multiple sectors has led to substantial security issues due to its decentralized structure and...
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A new image encryption approach that uses an improved Hill-Vigenère method and chaotic maps
Image encryption is an interesting field of research that is an adequate solution to ensure the safety and security of private information from...
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Vision transformer based convolutional neural network for breast cancer histopathological images classification
Breast cancer (BC) is a widespread and lethal cancer affecting women world- wide. Early diagnosis plays a pivotal role in ensuring survival, as late...
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Hybridized soccer league-grey wolf Optimization algorithm and siamese network synergism based multimodal fusion scheme for prognosis of brain diseases
This study proposes a novel multi-stage multimodal image fusion approach for consolidating information from images into single scene by leveraging...
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Differentially processed optimized collaborative rich text editor
A collaborative real-time text editor is an application that allows multiple users to edit a document simultaneously and merge their contributions...
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Multiuser beamforming and transmission based on BAAS and signal prediction using channel allocation
The performance for communication in a real-time mobile communication system is contingent upon the distribution of spectrum among the devices and...
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Custom CNN-BiLSTM model for video captioning
This paper introduces a video captioning model that integrates spatial and temporal feature extraction methods to produce comprehensive textual...
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Detection algorithm of container surface leakage based on improved YOLOv5s
When soap bubble method was used to detect the surface leakage of closed containers, an improved algorithm based on YOLOv5s was proposed, which is...
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Enhancing biometric authentication security through the novel integration of graph theory encryption and chaotic logistic map**
The escalating reliance on biometric systems for identity verification underscores the imperative for robust data protection mechanisms. Biometric...
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Threats on online social network platforms: classification, detection, and prevention techniques
Online social network (OSN) platforms have been incorporated into people's daily lives. A significant portion of society employs various forms of OSN...
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An image-processing toolkit for remote photoplethysmography
Objective. Image-processing-based remote photoplethysmography algorithms are usually composed of steps where different methods are used, and often,...
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Saliency guided progressive fusion of infrared and polarization for military images with complex backgrounds\(^{\star }\)
Thermal targets stand out on infrared light images but infrared imaging is vulnerable to thermal noise, thus the edges of targets in infrared images...
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A new perspective exploration of machine learning algorithms for defending Side-Channel attacks
Machine learning algorithms are used in various real-time applications, where security is one of the major problems. Security is applied in various...
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A framework for counting based secret sharing scheme for images
The existing secret sharing schemes used to protect sensitive multimedia data in distributed forms often compromise either security or computational...
