This paper explores the transformative impact of integrating renewable energy with Robotic
Process Automation (RPA) and Deep Learning technologies to enhance diagnostic imaging …

This paper presents a survey of the recent literature on the use of machine learning and
deep learning techniques in clinical decision systems. It covers a wide range of applications …

Traffic volume data is essential for transportation agencies for performance measurement
and for implementing intelligent transportation systems (ITS) strategies. However, this data is …

Classifying EEG data is integral to the performance of Brain Computer Interfaces (BCI) and
their applications. However, external noise often obstructs EEG data due to its biological …

Traffic incidents create significant obstacles for efficient roads and freeways use, leading to
congestion, longer travel time, and economic losses. Tacking these issues involves two key …

This paper explores the intersection of Artificial Intelligence (AI), Machine Learning (ML),
and Cloud Computing in the transformation of Robotic Process Automation (RPA). By …

This paper explores the convergence of Artificial Intelligence (AI), Machine Learning (ML),
and Cloud Computing in driving automation excellence within the realm of Robotic Process …

The field of machine learning (ML) has achieved remarkable success over the past few
decades and has become an integral part of our daily lives, powering various applications …

This paper explores the integration of DevOps practices, Cloud Computing infrastructure,
and Artificial Intelligence (AI) technologies to advance Robotic Process Automation (RPA) …

Multimodal transportation systems (eg, walking, cycling, automobile, public transit, etc.) are
effective in increasing people's travel flexibility, reducing congestion, and improving safety …