Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Quantum security improves cryptographic protocols by applying quantum mechanics principles, assuring resistance to both quantum and conventional computer attacks. This work addresses these issues by integrating Quantum Key Distribution (QKD) utilizing the E91 method with Multi-Layer Chaotic Encryption, which employs a variety of patterns to detect eavesdropping, resulting in a highly secure imag...
With the rapid development of digital services, a large volume of personally identifiable information (PII) is stored online and is subject to cyberattacks such as Identity fraud. Most recently, the use of Artificial Intelligence (AI) enabled deep fake technologies has significantly increased the complexity of identity fraud. Fraudsters may use these technologies to create highly sophisticated c...
OBJECTIVE: To conduct a systematic review on Artificial Intelligence-Mediated Communication (AIMC) behavioral interventions in cancer prevention/contr...
Current speech encoding pipelines often rely on an additional text-based LM to get robust representations of human communication, even though SotA s...
Introduction: Artificial Intelligence (AI) is having a significant impact in the field of communication, causing transcendental changes in the proce...
Decoding text, speech, or images from human neural signals holds promising potential both as neuroprosthesis for patients and as innovative communic...
Encrypted network communication ensures confidentiality, integrity, and privacy between endpoints. However, attackers are increasingly exploiting en...
The inference of large-sized images on Internet of Things (IoT) devices is commonly hindered by limited resources, while there are often stringent l...
Semantic communication is a new paradigm that aims at providing more efficient communication for the next-generation wireless network. It focuses on...
Along with the proliferating research interest in Semantic Communication (SemCom), Joint Source Channel Coding (JSCC) has dominated the attention du...
Federated learning (FL) has attracted considerable interest in the medical domain due to its capacity to facilitate collaborative model training whi...
Joint source-channel coding (JSCC) is a promising paradigm for next-generation communication systems, particularly in challenging transmission envir...
Electric Vertical Take-off and Landing vehicles (eVTOLs) are driving Advanced Air Mobility (AAM) toward transforming urban transportation by extendi...
Understanding communication and information processing among brain regions of interest (ROIs) is highly dependent on long-range connectivity, which ...
Anthropogenic noise has increased ambient sound levels across the globe, both underwater and on land. Among its many negative impacts, heightened nois...
The primate brain exhibits a hierarchical, modular architecture with conserved microcircuits executing canonical computations across reciprocally conn...
Spatial transcriptomic data enable study of cell–cell communication, yet current analysis tools often fail to provide dynamic, interpretable estimates...
Aging disrupts brain network integration and is a significant risk factor for cognitive decline and neurological diseases, yet the circuit-level mecha...
Large language models (LLMs) are increasingly being recognised as valuable knowledge communication tools in many industries. However, their applicatio...
Amyotrophic lateral sclerosis (ALS), a progressive neuromuscular degenerative disease, rapidly impairs communication within years of onset. This loss ...