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Classification of tumor into its subtypes is a critical issue these days in tumor diagnosis and treatment. The correct classification of tumor into its subtypes leads to the appropriate treatment. Traditional methods classify cancers based on morphological appearance that leads to misclassification because of the similar appearance of sub-types of cancer. To overcome this problem of misclassification,...
This paper describes a medical condition of liver called steatosis in which healthy liver cells are replaced by triglyceride fat. It impairs the normal functioning of the liver. A classification method is implemented that can quantitatively sort the ultrasound liver images into normal or fatty liver by studying the pathological modification caused at tissue level. The novelty of the method is that...
This paper presents the implementation of real-time automatic speech recognition (ASR) for portable devices. The speech recognition is performed offline using PocketSphinx which is the implementation of Carnegie Mellon University's Sphinx speech recognition engine for portable devices. In this work, machine Learning approach is used which converts graphemes into phonemes using the TensorFlow's Sequence-to-Sequence...
Long Term Evolution (LTE) networks are getting popular every year and adding more number of users to the networks. The LTE networks offer very high transmission throughput albeit, which also attracts the hackers to the networks. The primary security has to be provided in order to prevent the attacks during the initial set up phase as well during the other network transactions. Adaptive Random Key...
Wireless Sensor Network (WSN) are used in military, weather, industrial and many other industrial applications. WSN consists of the low configuration nodes with limited battery life. The security issues are one of the major concerns for the sensor networks. Therefore, the sensor nodes must be capable of mitigating the attacks along with minimizing the trade-off between energy consumption and performance...
Representing the way forward, from functional genomics and its ontology to functional understanding and physiological model, in a computationally tractable fashion is one of the ongoing challenges faced by computational biology. To tackle the standpoint, we herein feature the applications of contemporary database management to the development of PPDB, a searching and browsing tool for the Plants Physiology...
This paper presents the class and staff Locator Application (CSLA) using Android Capstone Project. Locating staff and class room for the students in school, colleges or universities is a challenging task. CSLA helps to locates staff and class room based on the time table data provided to the application. As such, the application will save time of students during the study hours. Currently, this locator...
This paper presents the development of placement predictor system (PPS) using logistic regression model. Based on the student scores in matriculation, senior secondary, subjects in various semesters of technical education and demographics, PPS predicts the placement of a student in upcoming recruitment session. The steps involved in designing and building logistic regression model is stated using...
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