R. Vishwanath

• REVA University

span lang="EN-US">The quality of the input data will typically affect the prediction accuracy. Preprocessing of data is commonly referred to as input data tuning. Tuning the input data is critical for projecting commodity prices. Anomalies or outliers are unavoidable in historical price data. To increase prediction and forecasting accuracy, it is n...

Thermal imaging has long been utilized across industries to maintain electrical equipment and detect faults in machines, ensuring their reliable operation. Infrared thermography, or thermal imaging, has emerged as a powerful, non-contact, non-destructive monitoring tool. Unlike RGB imaging, it offers a non-intrusive approach that respects privacy a...

span lang="EN-US">Code-switching is a very common occurrence in social media communication, predominantly found in multilingual countries like India. Using more than one language in communication is known as code-switching or code-mixing. Some of the important applications of code-switch are machine translation (MT), shallow parsing, dialog systems...

Sentiment analysis is the process of computationally recognizing and classifying the attitudes conveyed in each text towards a particular topic, product, etc. which is either positive or negative. Sentiment analysis is one of the interesting applications of natural language processing (NLP) and which is used to analyze the social media. Text in soc...

span lang="EN-US">Price prediction and forecasting are common in the agriculture sector. The previous research shows that the advancement in prediction and forecasting algorithms will help farmers to get a better return for their produce. The selection of the best fitting algorithm for the given data set and the commodity is crucial. The historical...

Analysis of protein interaction is widely recognized to understand cell physiology and disease conditions. The increase in the accumulation of these interaction data facilitates the recognition of the essential proteins in Protein Protein Interaction (PPI) networks. An array of centrality measures are available to uncover essential proteins in PPI...

Gene Ontology (GO) is a vocabulary available in bio informatics that indicates the functionality of proteins and genes. This dynamic vocabulary demonstrate the functionality at cellular component, biological process and molecular level. Different methods are there to evaluate this semantic similarity focusing on multiple approaches. In this paper w...

Aim: A similarity evaluation measure for Gene Ontology GO terms is developed. Results: The proposed method takes into account the semantics hidden in ontologies or the term level information content, membership of term, and topology-based similarity measures. The proposed method is evaluated on positive and negative dataset of UniProt, Protein fami...

Genome sequencing helps to identify the variation in genomic structure or to detect the new genomic sequences over the population. This sequence alignment detects the preserved interactome unit among organism. It evaluates the phylogenetic distance among organism of same species or different species and thereby detecting the functional domains, pol...

Social media are a rich source of user generated content where people express their views towards the products and services they encounter. However, sentiment analysis using machine learning models are not easy to implement in a time and cost effective manner due to the requirement of expert human annotators to label the training data. The proposed...

Aim and Background In recent periods, micro-array data analysis using soft computing and machine learning techniques gained more interest among researchers to detect prostate cancer. Due to the small sample size of micro-array data with a larger number of attributes, traditional machine learning techniques face difficulty detecting prostate cancer....

span lang="EN-US">Emotion analysis is a process of identifying the human emotions derived from the various data sources. Emotions can be expressed either in monolingual text or code-switch text. Emotion prediction can be performed through machine learning (ML), or deep learning (DL), or lexicon-based approach. ML and DL approaches are computational...

Prostate Cancer (PC) is the leading cause of mortality among males, therefore an effective system is required for identifying the sensitive bio-markers for early recognition. The objective of the research is to find the potential bio-markers for characterizing the dissimilar types of PC. In this article, the PC-related genes are acquired from the G...

Aim: A similarity evaluation measure for Gene Ontology GO terms is developed. Results: The proposed method considers the semantics hidden in ontologies or the term-level information content, membership of the time, and topology-based similarity measures. The proposed method is evaluated on a positive and negative dataset of UniProt, Protein family...

With the evolution of big data, data owners require the assistance of a third party (e.g., cloud) to store, analyze the data and obtain information at a lower cost. However, maintaining privacy is a challenge in such scenarios. It may reveal sensitive information. The existing research discusses different techniques to implement privacy in original...

The outbreak of the pandemic COVID-19 or SARS-CoV-2 (Severe Acute Respiratory Syndrome Corona Virus 2) has impacted the world population. On November 1, 2020, the spread of the virus in India had caused more than 8,000,000 cases and 110,000 deaths. In this paper, we studied the various comorbidities of COVID-19 including hypertension, cancer, and d...

Uncovering essential proteins are essential for cellular progression and it is an influential research area. Gene Ontology (GO) represents the functionality of genes. An evaluation of similarity between the genes ensures functional conjunction between them. Biclustering is a prominent approach to detect co-regulated essential proteins. Recently, co...

Data is increasing drastically day by day specifically due to the usage of social networking websites like Facebook, Twitter, etc. It is very difficult for data owners to store and manipulate such a huge size of data as it incurs more cost of maintaining resources. To overcome this issue, data owners utilize cloud resources to limit the expenses. B...

Gene ontology (GO) is a dynamic vocabulary that describes the functions of genes and proteins. GO captures gene functionality at the molecular level, cellular component and biological process. The extensive use of gene annotations increased the significance of semantic similarity. Several semantic similarity measures are available in literature foc...

Proteins interact each other to perform many cellular activities. These interactions can be considered as Protein Protein Interaction networks (PPI). Interacting proteins form protein complexes. Mapping nodes between networks is denoted as alignment. The main intention of network alignment approach is to identify the protein complexes, which in tur...

Consensus are also referred as motif. Motif detection is a demanding task inbioinformatics and the broad variance of protein motifs make it challenging. Imprintinggapped motifs is very important but tedious because of feasible combinatorialrepresentations caused by considering long gaps. Detection of planted (l, d) motif is anNP complete problem. W...

In recent decade, cervical cancer is the second most predominant cancer seen in woman and over two lakhs deaths estimated annually. In this research, a new shortest path approach, Enhanced Johnson's Algorithm (EJA) has been proposed for finding the cervical cancer related genes in Protein to Protein Interaction (PPI) network for the early diagnosis...