Shanta Rangaswamy

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Verified

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• Doctor of Engineering
• Professor at R.V. College of Engineering

Skin diseases pose a significant health concern globally, with diverse manifestations and diagnostic challenges. Deep learning methods have shown impressive potential in medical image analysis. This project focuses on utilizing methods of deep learning techniques for the automated classification of skin diseases. Two popular convolutional neural ne...

The study of prediction models, sentiment analysis, and recommendation systems has gained prominence in business and application research. It is essential to streamline the suggestion process based on customer needs as internet reviews of restaurants gain traction. This study analyses the emotional tone of online reviews using sentiment analysis an...

The prevalence of automobile accidents as a major cause of violent deaths around the world has prompted researchers to develop an automated method for detecting them. The effectiveness of medical response to accident scenes and the chances of survival are influenced by the human element, underscoring the need for an automated system. With the wides...

An epileptic seizure is a type of seizure induced by aberrant brain activity caused by an epileptic condition, which is a brain Central Nervous System disorder (CNS). CNSs are relatively prevalent and include a wide range of symptoms, including loss of awareness, and strange behaviour. These symptoms frequently result in injuries as a result of wal...

Traffic congestion is one of the main challenges in transportation engineering. It directly impacts the economy by increasing travel time and affecting the environment by excessive fuel consumption and emission. Road route recommendation to overcome the congestion by alternative route suggestions has gained high importance. The existing route recom...

In recent years, popularity and use of cryptocurrencies has been rising along with their prices and Ethereum is the second most famous cryptocurrency after Bitcoin. Cryptocurrencies are based on blockchain, which is a distributed and empowered technology that has the power to transform any banking systems. It has become an attractive investment for...

In RS (Remote Sensing) imaging, one of the most important tasks is Object Detection (OD) which aims to extract the object location and class information. Object detection is termed the highly advanced approach, which is helpful in RS image analysis, scene and image content understanding. In recent years, the researchers have made extensive efforts...

Developing countries spend a lot of resources in planning and implementing schemes and policies for poverty eradication. To collect data on poverty, it needs a lot of manual labour and consumes a lot of time and money. To make this process easier, this publication proposes to use satellite images to detect economic activity and, as a result, e...

ITVD is a technique which uses Artificial Intelligence and deep learning concepts to detect the vehicle violating the traffic rules. We observe that in the past few years there has been a tremendous increase in the number of on road vehicles. The congested roads with pollution, thereby creating havoc which serves as a reason to violate the traffic...

MOOCs plays a vital role in transforming higher education across the globe. Today, providing an access to higher education to people of all sectors is the highest priority in all the developed and developing countries. Currently many universities in developed countries are able to get to the top rankings (by various agencies) because of their hi...

MOOCs plays a vital role in transforming higher education across the globe. Today, providing an access to higher education to people of all sectors is the highest priority in all the developed and developing countries. Currently many universities in developed countries are able to get to the top rankings (by various agencies) because of their high...

Power is a big problem in today's circuits. Clock distribution networks, in general, are a critical component of synchronous digital circuits and a major power user. Since it consumes roughly half of the device's total capacity, clock power dissipation has become a significant problem.In today's low-power digital circuits, Clock gating is now one o...

In modern computer networks, time synchronization plays a significant role because methods like managing, securing, planning, and debugging a network involves determining when the event happened and needs accurate time. Maintaining an accurate time is very difficult as there is a drift around a few minutes or seconds in the computer's clock every d...

All rights are reserved by UIJRT.COM. Abstract-Cloud computing is one of the most trending IT domains in recent times. It allows a user to access state-of-theart resources, technology and infrastructure with just an internet connection. In the past few decades, most global organisations have begun to migrate towards cloud computing environments bec...

Purpose The purpose of this study is to provide real-time route guidance within city to help commuters. Design/methodology/approach In urban areas to avoid road congestion and to reach the destination on time, intelligent transport system (ITS) utilizes recent advanced technology. To support this, existing route guidance system (RGS) suggests alte...

We have been using computers since the early 19th century. Currently we are in the fourth generation of computers with the microprocessors after vacuum tubes, transistors and integrated circuits. They were all based on the classical phenomenon of electrical circuits being in a single state at a given time, either ON or OFF. The fifth generation of...

The challenge to clinician is to diagnosis the complex disease such as Alzheimer, disease, frontotemporal dementia and Parkinson. The diseases are bit complex to diagnose in terms of symptoms as they overlap in many aspects. So, it is necessary to investigate the process of diagnostic with more accuracy with different parameters of the disease. The...

An effective road traffic control system ensures continuous movement of traffic and helps in preventing crashes or accidents. Better traffic management requires traffic signal control based on vehicle density. One such technique proposed in this paper finds the solution to traffic flow control, depending on the number of vehicles on the lane. It ha...

Traffic congestion is not uniform across the metropolitan cities like Bengaluru, in India. Road travel time becomes unpredictable many a times. In this aspect, several prediction models have been built. All these models require data on a daily basis for training. IoT based model to collect the input data using sensors can be the best choice. The mo...

The objective of this chapter is to provide the reader with an overview of machine learning concepts and different types of learning techniques which include supervised, unsupervised, semi-supervised, and reinforcement learning. Learning algorithms discussed in this chapter help the reader to easily move from the equations of the book to a computer...

Image restoration is a process of reconstruction or recovery of an image that has been corrupted or degraded by any degradation phenomenon. Image restoration techniques are inclined towards modeling the degradation and applying the inverse process in order to recover the original image. The critical goal of restoration techniques is to improve the...

Image restoration is a process of reconstruction or recovery of an image that has been corrupted or degraded by any degradation phenomenon. Image restoration techniques are inclined towards modeling the degradation and applying the inverse process in order to recover the original image. The critical goal of restoration techniques is to improve the...

In this paper, a novel approach for automatic road accident detection is proposed. The approach is based on detecting damaged vehicles from footage received from surveillance cameras installed in roads and highways which would indicate the occurrence of a road accident. Detection of damaged cars falls under the category of object detection in the f...

With the Advent of technology and man’s interest in exploring underwater environment made him to develop new aquatic applications. Underwater Acoustic Networks are used to support these new applications. UAN’s are made up of sensor nodes, vehicles and other devices, for communication between them many network protocols are designed, after developin...

Transmitting data with water as the medium is called underwater communication. Electromagnetic signals are better attenuated in water than sound. Hence it is the most reliable and versatile means of communication underwater. The acoustic signals will be affected by ocean driven noise during transmission. Ambient noise is the background noise whi...

Road Traffic congestion is a perennial problem across the globe. The nature of the problems associated with vehicular traffic is not uniform across the globe. In the recent past, several solutions were proposed to improve traffic management. However most of these solutions cater to the traffic scenarios in the developed countries where traffic is l...

Machine Learning techniques like decision trees can learn classification patterns from training data and generate classifiers that can then be used to solve decision problems. In general, the input data to classifiers is a set of features, but not all of features are relevant to the classes to be classified. Although the problem of finding an optim...

A query response in DBMS that is developed based on sequential search or static snapshot (or static indexing) may significantly degrade if the query patterns change and also with the increase in the database size. Online indexing addresses these issues by considering a parameterizable technique to recommend the indexes based on index types that are...

In an on demand business, information technology, IT, components produced by high-tech companies over the past decades are so complex that IT professionals are challenged to effectively operate a stable IT infrastructure. It is the complexity of the IT components themselves that have helped fuel this problem. An exponential growth has occurred in t...

Steganography is the art of concealing the existence of information within seemingly harmless carriers. It is a method similar to covert channels, spread spectrum communication and invisible inks which adds another step in security. A message in cipher text may arouse suspicion while an invisible message will not. A digital image is a flexible medi...

"Innovation today is not just product innovation, rather it is about services, processes, business models or cultural innovation." Faced with growing knowledge management needs and its difficulties in organizing and retaining, enterprises are increasingly realizing the importance of interlinking critical business information distributed across stru...