Wireless multi-hop networks and software-defined networking (SDN) are emerging technologies in wireless communications for deploying cost-efficient programmable network b[...]

In data-driven systems, data exploration is imperative for making real-time decisions. However, big data are stored in massive databases that are difficult to retrieve. A[...]

Recent advancements in the domain of deep learning models have engendered remarkable progress across numerous computer vision tasks. Notably, there has been a burgeoning [...]

Social networking sites have become an integral part of daily life in the modern world. They can serve as an important, dynamic data source providing collective intellige[...]

The Context-Aware Conditional Tabular Generative Adversarial Network (CA-CTGAN) introduces an innovative architecture for the generation of synthetic tabular data, distin[...]

The AI-digital era is characterized by an unprecedented surge in data usage, spanning from data centers to IoT devices. This growth has driven the evolution of AI-optimiz[...]

The inherently complex nature of evaluating teamwork calls for methods to measure and predict students’ performance and provide timely feedback. Analyzing students’ indiv[...]

Biometric systems are widely deployed in governmental, military and civilian applications. There are a multitude of sensors and matching algorithms available from differe[...]

This study investigates factors that influence young women’s decision to major in computer science (CS). While there is a rapid increase of scientific advances being made[...]

The main goal of learning analytics and early detection systems is to extract knowledge from student data to understand students’ trends of activities towards success and[...]