Abstract The multidisciplinary approach of artificial intelligence is revolutionizing the traditional technologies used in medical image computing, radiology imaging, medical diagnoses, and features based disease identification [1], [2]. In this […]
Abstract In this paper, we give a brief analysis of the work in the field of Hyperloop technology carried out in 2017-19. We show that this area is thriving. Further,
Structure of Hyperloop Systems with Intermediate Station Read More »
Abstract Nowadays, many students and staff struggle to find specific information about classes or teachers whether in their colleges or any other institution on campus. Therefore, in this research, a
Campus Guide Using Augmented Reality Techniques Read More »
Abstract Nowadays, Citizen of one country is traveling to another country to settle their various needs through the widespread modern transportation system. However, Passport is a worldly recognized indispensable identity
Abstract Bitcoin has become the most popular cryptocurrency based on a peer-to-peer network. In Aug. 2017, Bitcoin was split into the original Bitcoin (BTC) and Bitcoin Cash (BCH). Since then,
Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash? Read More »
Abstract Vehicle accidents are rapidly increasing in many countries. Among many other factors, drowsiness and fatigue are playing a major role in these accidents, and systems that can monitor it
Arduino based Real Time Drowsiness and Fatigue Detection for Bikers using Helmet Read More »
Abstract Image restoration is a long-standing problem in image processing and low-level computer vision. Recently, discriminative convolutional neural network (CNN)-based approaches have attracted considerable attention due to their superior performance.
A Flexible Deep CNN Framework for Image Restoration Read More »
Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation Read More »
Abstract Most of the existing medical image denoising methods focus on estimating either the image or the residual noise. Moreover, they are usually designed for one specific noise with a
Abstract: As the era of industrial 4.0 coming, robotic technology has been applied in many aspects of human life. Putting robots in service businesses such as a waiter robot serving
Restaurant Serving Robot with Double Line Sensors Following Approach Read More »
