Water and energy are closely linked, as current electricity generation methods often require water, and extracting water typically consumes energy. This connection between water and energy, also known as the "water-energy nexus," has been the focus of several...
Accurately predicting the arrival times of buses is of key importance, particularly in hectic urban environments. Providing people with efficient and timely transportation can discourage them from using private vehicles, consequently reducing both fuel consumption and...
Some experts in the field of electronics engineering have suggested that the use of silicon complementary metal-oxide semiconductors (CMOS) will start declining rapidly by the end of 2020. Despite their predictions, a class of alternative materials that can...
In recent years, researchers have developed deep neural networks that can perform a variety of tasks, including visual recognition and natural language processing (NLP) tasks. Although many of these models achieved remarkable results, they typically only perform well...
Researchers at the University of Southern California (USC) have recently carried out a study investigating the interactions among different world leaders and influential political figures on social media. Their findings, pre-published on arXiv, provide interesting new...
Researchers at NIT Silchar, India, have recently developed a new dynamic hand-gesture-based keyboard character recognition system. This virtual keyboard system, presented in a paper published in Springer's Journal of Ambient Intelligence and Humanized Computing, uses...
Researchers at UC Berkeley and Ecole des Ponts Paris Tech have recently developed a deep learning approach for discovering recurring visual patterns in art collections. Their paper, pre-published on arXiv, will be presented at CVPR 2019, a renowned computer vision...
Researchers at the University of Porto in Portugal and KTH Royal Institute of Technology in Sweden have recently developed a framework that can estimate the depth and relative pose of two ground robots that are collaborating on a given task. Their framework, outlined...
Recombination, the rearrangement of genetic materials as a result of mating or of combining segments of DNA from different organisms, has numerous evolutionary advantages. For instance, it allows organisms to remove deleterious mutations from their genomes and take on...
Researchers at Taif University, Birzeit University and RMIT University have developed a new approach for software fault prediction (SFP), which addresses some of the limitations of existing machine learning SFP techniques. Their approach employs feature selection (FS)...