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 …

Nowadays, a rapid, easy, and convenient access to our private information is essential to
carry out both personal and professional activities. In most cases, this information is …

Abstract The Internet of Medical Things (IoMT) has revolutionized the healthcare industry by
providing remote patient monitoring and real-time data analysis. Unmanned Aerial Vehicles …

Quantum cryptography is a field that has achieved ample of attraction in lately to the
increasing need for secure communication in various applications. Smart cities are one such …

Few heterogeneous nodes, such as nodes with greater computational capability, can be
strategically placed in Wireless Sensor Networks (WSN) to maximize network lifetime …

Classification of medical images is a crucial aspect of clinical therapy and education.
However, the performance of the conventional approach has reached its limit. In addition …

In this article, we propose a framework that uses a multimodal multilayer network to build,
manage and compare User Histories in X. A User History not only considers the contents of …

It is well known that counter-propagation of structured light fields allows shaping of three-
dimensional (3D) structures in amplitude, phase, or polarization. Here, we numerically …

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