The success of deep learning has been a catalyst to solving increasingly complex machine-
learning problems, which often involve multiple data modalities. We review recent advances …

To extract meaningful and non-negligible facts from large amounts of data for the extraction
of patterns, anomalies, and correspondence information from large databases, data mining …

A popular testbed for deep learning has been multimodal recognition of human activity or
gesture involving diverse inputs like video, audio, skeletal pose and depth images. Deep …

Student graduation rates have always taken prominence in academic studies since they are
considered a major factor in the performance of any university. Accurate models for …

Adversarial examples pose significant challenges for Natural Language Processing (NLP)
model robustness, often causing notable performance degradation. While various detection …

Neural networks are the cutting edge of artificial intelligence, demonstrated to reliably
outperform other techniques in machine learning. Within the domain of neural networks …

This study addressed the problem of automated object detection from ground penetrating
radar imaging (GPR), using the concept of sparse representation. The detection task is first …

Mobile Wireless Sensor Network (WSN) can be used to solve various issues confronted by
static WSN. A mobile sink adheres to diverse mobility patterns in the region of sensors such …

La transfusión de sangre es un tratamiento terapéutico que salva vidas, para ello es
necesario proporcionar sangre segura a los pacientes. La hemovigilancia es el proceso que …

АНОТАЦІЯ Актуальність. Для скорочення часу обчислювального ресурсу в задачах
діагностування та розпізнавання спотворених образів на основі повнозв'язної …