Leukemia is type of cancer in blood which impacts the lymphatic framework and the bone
marrow and also impacts white blood cells. Leukemia, in contrast to other types of cancer …

Object identification is more significant application in Deep learning innovation which is
recognized by areas of strength for its element learning and component portrayal contrasted …

We propose an approximate tensor processing unit (APTPU), which includes two main
components:(1) approximate processing elements (APEs) consisting of a low-precision …

This paper proposes new digital filter architecture based on a modified multiply-accumulate
(MAC) unit architecture called truncated MAC (TMAC), with the aim of increasing the …

Machine learning algorithms are implemented in variety of medicine applications in real time
systems. In this sector, image classification plays a main role. Present days many people are …

The multiplication operation is a need for all DigitalSignal Processing (DSP) applications. It
includes addition and shift operations. Many people have developed a wide range of …

Recent developments in deep learning techniques have produced significant improvements
in long-standing AI jobs like drug discovery, gene analysis, and speech and image …

New opportunities for vehicular Internet of Things (IoT) services using current and modern
rational transportation system, along with newer challenges for vehicular ad-hoc networks …

Image inpainting is the process to fill missing pixels in the damaged image and this process
has drawn more attraction and gained active and expensive research topic in recent …

In the modern Block-chain and Artificial Intelligence era, energy efficiency has become one
of the most important design concerns. Approximate computing is a new and an evolving …