R. Krithiga

• Vellore Institute of Technology University

The increasing use of the internet and digital devices has led to an exponential growth in cyber-attacks, with malware being one of the most prevalent forms of cybercrime. Modern-day malware is becoming more sophisticated and evasive, using various techniques such as obfuscation, encryption, and code injection to evade detection. To combat this pro...

In this paper, Facial Emotion detection model, built using Uniform Local Binary Pattern, is explained using an application i.e., Student behavior detection. Student engagement is a critical factor in effective teaching and learning conventional approaches in evaluating student participation that frequently depend on assertions made by students and...

The growing popularity of machine learning has increased concerns about privacy protection. This research addresses these concerns by proposing a federated learning framework that integrates federated multi-layer perceptron (FMLP) and the Paillier homomorphic encryption algorithm. The framework enables clients to transmit encrypted gradients during...

Mitosis cell counting from histopathology image is one of the important process as a part of proliferative activity for cancer grading. It provides a level of progression and estimate the aggressiveness of particular diseases. Unfortunately, manual mitosis counting evaluation is a tedious, very labor intensive, and challenging task in analysing gra...

Mobile Ad Hoc Networks (MANETs) are self-organizing, self-configuring, and infrastructure-less networks for performing multi-hop communication. The source mobile node can transmit the information to any other destination node, but it has limitations with energy consumption and battery lifetime. Since it appeals to a huge environment, there is a pro...

Deep learning-based character recognition of Tamil inscriptions plays a significant role in preserving the ancient Tamil language. The complexity of the task lies in the precise classification of the age-old Tamil letters (Vattezhuthu) into modern-day Tamil letter structures. Various methodologies and pre-processing techniques have been used for de...

Cancer prognosis and the course of treatment chosen are based on the grade of malignancy present as observed in the images. Deep learning approaches have resulted in encouraging outcomes on histopathology images at different levels, such as detection, segmentation, and classification. In this paper, we examine the application of deep learning and i...

Purpose The purpose of this paper is to enhance the performance of spammer identification problem in online social networks. Hyperparameter tuning has been performed by researchers in the past to enhance the performance of classifiers. The AdaBoost algorithm belongs to a class of ensemble classifiers and is widely applied in binary classification p...

Online Social Networks (OSNs) play a crucial role in communication systems for rapid message broadcasting and information sharing. Facebook is one of the popular OSNs that has the highest number of active users as per the statistical reports. However, it witnesses challenges due to the presence of spammers, whose actions may make the environment un...

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn at the request of the Editor in Chief. Subsequent to acceptance of this special issue paper by the responsible Guest Editor Hameem Shanavas, the integrity and ri...

Automatic identification of abnormal and normal cells is a critical step in computer-assisted pathology, owing to certain heterogeneous characteristics of cancer cells. However, automated nuclei detection is problematic in unevenly shaped, overlapping and touching nuclei. It is, consequently, essential to detect single and overlapping nuclei and di...

Spamming has become pervasive. With the advent of several online social networks, the population of spammers to disturb and disrupt the network is increasing. Hence, there is a crucial need to devise methods to effectively detect spammers in these platforms. As spammers spread malicious activities, the detection process is to be quick and robust to...

Digital pathology represents a major evolution in modern medicine. Pathological examinations constitute the standard in medical protocols and the law, and call for specific action in the diagnostic process. Advances in digital pathology have made it possible for image analysis to take advantage of the information analysis from hematoxylin and eosin...

Social networks have grown into a popular way for internet surfers to interact with friends in addition to family members, reading news, and also discuss events. Users spend more time on popular social platforms (e.g., Facebook, Twitter, etc.) storing and sharing their personal information. This fact together with the prospect of communicating thou...