Earth is covered with 70% of water that could be river and ocean also. The underwater sensor network technology become more and more popular for monitoring oceans. This paper is a literature review of underwater sensor network, different architectures for two-dimensional and three-dimensional underwater. We are highlighting main applications and challenges of underwater sensor networks and the need of time synchronization schemes for Underwater Sensor Networks.
Modern-day computation has become indispensable in the healthcare industry. From medical image processing to cost reduction, Artificial Intelligence has proved its significance in solving complex healthcare problems. One of the primary areas in which it can be of greater use in hematology. Categorization of white-blood cells is imperative to pre-identify abnormalities. Through this paper, we collected image samples for 4 major White Blood cell groups, which are Neutrophils, Lymphocytes, Monocytes, and Eosinophils. The aim of this research is to put forward an intelligent system that efficiently alleviates the stringent requirement of a cytological study. The proposed system classifies 4 white-blood-cell types based on their morphological variation. With the experimental modulations that we chose to integrate, the presented model attained an accuracy of 97%.
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