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Role of Artificial Intelligence in the crime prediction and pattern analysis studies published over the last decade: a scientometric analysis
Crime is the intentional commission of an act usually suspected as socially detrimental and specifically defined, forbidden, and punishable under...
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Certifying Accuracy, Privacy, and Robustness of ML-Based Malware Detection
Recent advances in artificial intelligence (AI) are radically changing how systems and applications are designed and developed. In this context, new...
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ACL-SAR: model agnostic adversarial contrastive learning for robust skeleton-based action recognition
Human skeleton data have been widely explored in action recognition and the human–computer interface recently, thanks to off-the-shelf motion sensors...
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Machine learning-driven performance assessment of network-on-chip architectures
System-on-chip designs for high-performance computing systems widely use network-on-chip (NoC) technology. The critical metrics such as latency,...
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A review on emotion detection by using deep learning techniques
Along with the growth of Internet with its numerous potential applications and diverse fields, artificial intelligence (AI) and sentiment analysis...
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Threshold ring signature: generic construction and logarithmic size instantiation
A ring signature is a variant of normal digital signature and protects the privacy of a specific signer in the sense that a ring signature can be...
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An overview of implementing security and privacy in federated learning
Federated learning has received a great deal of research attention recently,with privacy protection becoming a key factor in the development of...
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A review of digital twins and their application in cybersecurity based on artificial intelligence
The potential of digital twin technology is yet to be fully realised due to its diversity and untapped potential. Digital twins enable systems’...
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Towards multimodal graph neural networks for surgical instrument anticipation
PurposeDecision support systems and context-aware assistance in the operating room have emerged as the key clinical applications supporting surgeons...
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Structure-based prediction of T cell receptor recognition of unseen epitopes using TCRen
T cell receptor (TCR) recognition of foreign peptides presented by major histocompatibility complex protein is a major event in triggering the...
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Automated Detection of Infection in Diabetic Foot Ulcer Using Pre-trained Fast Convolutional Neural Network with U++net
A frequent consequence of diabetes and a significant contributor to morbidity and mortality is diabetic foot ulcer (DFU).Early detection and...
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Federated learning for digital healthcare: concepts, applications, frameworks, and challenges
Various hospitals have adopted digital technologies in the healthcare sector for various healthcare-related applications. Due to the effect of the...
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A deep learning based cognitive model to probe the relation between psychophysics and electrophysiology of flicker stimulus
The flicker stimulus is a visual stimulus of intermittent illumination. A flicker stimulus can appear flickering or steady to a human subject,...
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A new integrated steganography scheme for quantum color images
In this paper, we propose a quantum steganography scheme with a color image as the cover image. In order to enhance the security of the embedded...
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An Efficient Approach to Reduce Energy Consumption in a Fog Computing Environment Using a Moth Flame Optimization Algorithm
After decades of growth in the computer computing field, cyber-physical systems (CPS), a combination of physical and tangible hardware and virtual...
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Analyzing Data Streams from Cyber-Physical-Systems: A Case Study
We show that conducting a process-mining-centric analysis concerning cyber-physical systems provides insights into usage behavior. To show that, we...
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Exploring recent advances in random grid visual cryptography algorithms
Visual cryptography scheme is initiated to securely encode a secret image into multiple shares. The secret can be reconstructed by overlaying the...
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Improving Likert scale big data analysis in psychometric health economics: reliability of the new compositional data approach
Bipolar psychometric scales data are widely used in psychologic healthcare. Adequate psychological profiling benefits patients and saves time and...
