The field of brain computer interfaces (BCI) is growing rapidly. Innovations that help benefit disabled persons is the overall goal of the research, currently. Every brai[...]

The real, complex network environment consists of an ever-increasingly diverse and large amount of data encapsulated in packets. Surveillance and monitoring of this traff[...]

Accurate travel demand / Annual Average Daily Traffic (AADT) and crash predictions helps planners to plan, propose and prioritize infrastructure projects for future impro[...]

Despite the rising popularity and utilization of intelligent systems, much of thebuilt environment, especially architecture, remains prescriptive or responsive in nature.[...]

Gene prediction, a fundamental task in genomics, plays a pivotal role in decipheringthe functional elements of genomes. However, accurate gene prediction remains a challe[...]

Metropolitan areas suffer from frequent road traffic congestion not only during peak hours but also during off-peak periods. Currently, the increasing availability of veh[...]

Neural networks as a commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively [...]

In machining, specific cutting forces and temperature fields in the shear zones are of primary interest. These quantities depend on many machining parameters, such as th[...]

This study was conducted to answer two research questions. How do the chosen CNN models perform on publicly available asphalt pavement crack datasets for classification a[...]

This article presents two methods, REVAMPT and CARPe Posterum. REVAMPT, or Real-time Edge Video Analytics for Multi-person Privacy-aware Tracking, is an integrated system[...]