Abstract Few software development life cycle (SDLC) models explicitly address software security in detail, so secure software development practices usually need to be added to each SDLC model to ensure […]
Abstract This paper aims to develop a tool for predicting accurate and timely traffic flow Information. Traffic Environment involves everything that can affect the traffic flowing on the road, whether
Traffic Prediction for Intelligent Transportation System using Machine Learning Read More »
Abstract In today’s economic scenario, credit card use has become extremely commonplace. These cards allow the user to make payments of large sums of money without the need to carry
Supervised Machine Learning Algorithms for Credit Card Fraud Detection: A Comparison Read More »
Abstract Flight delay is a major problem in the aviation sector. During the last two decades, the growth of the aviation sector has caused air traffic congestion, which has caused
Predicting Flight Delays with Error Calculation using Machine Learned Classifiers Read More »
ABSTRACT Social and technological evolutions are forcing changes in education worldwide. An important guide for such changes is the sustainable development goals (SDGs) adopted by the United Nations. SDG 17
INTEGRATING EDUCATION, TECHNOLOGY, AND SDG’S: A THREE-PRONGED COLLABORATION Read More »
Abstract Wireless sensor networks (WSNs) have demonstrated research and developmental interests in numerous fields, like communication, agriculture, industry, smart health, monitoring, and surveillance. In the area of agriculture production, IoT-based
Abstract This paper presents a novel framework for Speech Activity Detection (SAD). Inspired by the recent success of multi-task learning approaches in the speech processing domain, we propose a novel
Abstract The integration of e-Science and Grid technologies into curriculum teaching is currently an ambitious aim for teachers and school infrastructures to organize. However, it can expose classroom learners and
Identifying Tools to Support Schools’ Collaborative Teaching and Learning Read More »
Abstract Object detection algorithms, from high-resolution optical remote sensing images, have been booming from the last few years. However, object tracking for high-resolution optical remote sensing video is a challenging
Abstract While recognizing any individual, the most important attribute is face. It serves as an individual identity of everyone and therefore face recognition helps in authenticating any person’s identity using
Face Detection and Recognition System using Digital Image Processing Read More »
