Titlebook: Smart Technologies in Data Science and Communication; Proceedings of SMART Sanjoy Kumar Saha,Paul S. Pang,Debnath Bhattachary Conference pr

ARIA

无可争辩

A Detailed Study on Optimal Traffic Flow in Tandem Communication Networks,ition. Forked model condition means the two nodes are connected in parallel to each other, and the other third node was connected in series with the other two-node parallel combination. The flow of the network will first cross the two nodes which were connected in parallel to each other and then the

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Detection of Brain Stroke Based on the Family History Using Machine Learning Techniques,separate projections in identifying the treatment decisions that are to be followed during the acute phase of the stroke. In identifying the treatment methodologies, there is definite model algorithm for cerebral ischemia after subarachnoid hemorrhage (SAH) which is predicted earlier. In such scener

Substance-Abuse

An Automatic Perception of Blood Sucker on Thin Blood Splotch Using Graphical Modeling Methods,croscope laboratory. Using the standard method, the image is then transferred into the grayscale image. The output image which is a grayscale image is transformed into the single-color image i.e., monochrome image which contains the pixel values using the “Binary Threshold method”. This monochrome i

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MAIM

An E-Waste Collection System Based on IoT Using LoRa Open-Source Machine Learning Framework,d organization of waste data. This object discovery system is skilled with imageries of waste to produce a frozen implication chart used for real-time object detection which is completed over a camera linked to the Raspberry Pi 3 Model B as the key processing unit. In every waste, container placed w

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A Real and Accurate Diabetes Detection Using Voting-Based Machine Learning Approach,nd insulin are required to manage blood glucose levels. GDM is one of the type of diabetes which consists of high glucose level during pregnancy and the good part of this is mostly it disappears after pregnancy, if not their children may affect with type-2 in the later stage of their age. 1 among 10

先驱

A Comparative Analysis on Resource Allocation in Load Balancing Optimization Algorithms,s is upon Heterogeneous Earliest Finish Time (HEFT) and Ant Colony Optimization (ACO) as well. Both the algorithms are established and working along with those algorithms to understand and depict how they both function and work internally. An additional study is done about the drawbacks of HEFT algo

Picks-Disease

A Literature Review on: Handwritten Character Recognition Using Machine Learning Algorithms,on. For character approval, several machines have been used to learn algorithms such as support vector machine, Naive Bayes, KNN, Bayes Net, random forest, logistic regression, linear regression and random tree.

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Tweet Data Analysis on COVID-19 Outbreak,pendent on compound extremity esteem at last tweets are distinguished into three significant assessment classes like positive, negative and impartial and by demonstrating feeling score plot, fleeting assumptions after some time the information perception is additionally accomplished in this work. Th