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The Multi-attribute impact of hyperlinks in blogs: an emotion-centric approach
As a digital social medium, blogs have transformed into arenas where individuals can express their perspectives, concepts, and feelings. This...
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The meaningfulness gap in AI ethics: a guide on how to think through a complex challenge
Technological outsourcing is increasingly prevalent, with AI systems taking over many tasks once performed by humans. This shift has led to various...
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Virtual node graph neural network for full phonon prediction
Understanding the structure–property relationship is crucial for designing materials with desired properties. The past few years have witnessed...
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Research on satellite link allocation algorithm for Earth-Moon space information network
With ongoing advancements in space exploration and communication technology, the realization of an Earth-Moon space information network is gradually...
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Learning to sculpt neural cityscapes
We introduce a system that learns to sculpt 3D models of massive urban environments. The majority of humans live their lives in urban environments,...
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Integrating metaheuristics and artificial intelligence for healthcare: basics, challenging and future directions
Accurate and rapid disease detection is necessary to manage health problems early. Rapid increases in data amount and dimensionality caused...
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Intelligent Personality Assessment and Verification from Handwriting using Machine Learning
It is possible to tell a lot about a person just by looking at their handwriting. The way someone writes might tell you a lot about who, they are as...
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Progress on half a century of process modelling research in steelmaking: a review
Process modelling in steelmaking started from mid-sixties and witnessed rapid growth and wide spread applications during the last fifty years or so....
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DMFVAE: miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder
MicroRNAs (miRNAs) are closely related to numerous complex human diseases, therefore, exploring miRNA-disease associations (MDAs) can help people...
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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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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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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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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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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...
