The HIV reservoir that establishes early upon infection and persists in tissues remains the primary barrier to a functional cure. While progress has been made to study the reservoir in blood compartments and specific cell types, knowledge gaps remain... read more
The Internet of Things (IoT) allows continuous health monitoring through the interconnection of wearable and medical devices with computing and storage infrastructures. As cyber threats grow and the sensitivity of healthcare information increases, da... read more
Deep neural networks have achieved remarkable success in various computer vision tasks, yet they remain vulnerable to adversarial examples-carefully crafted perturbations that are imperceptible to humans but cause misclassification. Detecting such ad... read more
This study investigates the effectiveness of various text representation methods in distinguishing between AI-generated and human-written content, using a corpus of 1000 Italian essays. Four techniques were employed for text representation: Text Feat... read more
This study introduces two recently developed bio-inspired metaheuristic algorithms, Artificial Protozoa Optimizer (APO, 2024) and Dung Beetle Optimizer (DBO, 2023), into long short-term memory (LSTM) networks for monthly pan evaporation prediction un... read more
The increasing application of time-series analysis in fields like biomedical engineering or telecommunications emphasizes the need for high-quality data to train and evaluate advanced machine learning models. Acquiring temporal data at suitable resol... read more
Breast ultrasound imaging is widely used for the early detection of breast cancer due to its accessibility and effectiveness, particularly in dense breast tissues. However, its diagnostic performance is often affected by operator dependency, speckle ... read more
UNLABELLED: The rapid integration of generative artificial intelligence (GenAI) tools, such as ChatGPT, into educational contexts has raised important questions regarding how adolescents conceptualize and make sense of these technologies. Understandi... read more
This article presents the design and the numerical analysis of a smart label-free Surface Plasmon Resonance (SPR) sensor to detect the concentration of haemoglobin in blood and the concentration of glucose in the urine samples. The suggested sensor u... read more
Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that imposes significant personal and societal burdens. Traditional diagnostic approaches, which rely on behavioral assessments, are susceptible to subjectivit... read more
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