Dilip Kumar Sharma

Dilip Kumar Sharma
  • PhD, MTech(CSE), BE(CSE)
  • Professor (Full) at GLA University

About

202
Publications
43,068
Reads
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1,908
Citations
Current institution
GLA University
Current position
  • Professor (Full)
Additional affiliations
February 2016 - March 2016
GLA University
Position
  • Professor
October 2011 - December 2014
GLA University
Position
  • Professor (Associate)

Publications

Publications (202)
Article
Fake news classification emerged as an exciting topic for machine learning and artificial intelligence researchers. Most of the existing literature on fake news detection is based on the English language. Hence, it needs more usability. Fake news detection in low‐resource scare languages is still challenging due to the absence of large annotated da...
Article
Full-text available
Time series forecasting across different domains has received massive attention as it eases intelligent decision-making activities. Recurrent neural networks and various deep learning algorithms have been applied to modeling and forecasting multivariate time series data. Due to intricate non-linear patterns and significant variations in the randomn...
Article
Full-text available
Recently, the spread of fake images on social media platforms has become a significant concern for individuals, organizations, and governments. These images are often created using sophisticated techniques to spread misinformation, influence public opinion, and threaten national security. This paper begins by defining fake images and their potentia...
Chapter
Skin lesion diagnosis using computer-aided systems is a growing field of research. In recent years, researchers have been developing computer-aided diagnosis systems. An analysis of the efficiency of computer-aided diagnosis is examined, synthesized, and evaluated in this work. This study surveyed articles published in ScienceDirect, IEEE Xplore, a...
Article
Full-text available
The identification and apprehending of suspects by law enforcement authorities rely heavily on facial sketches. The sketch artist creates sketches based on the witnesses’ memories. Sketch artists are few and limited in their availability. It is also evident that as time passes, the eyewitness forgets many of the important details, which can be expe...
Conference Paper
Full-text available
Remote healthcare services provide more opportunities for communication between doctors and patients, strengthening their relationships and improving patient satisfaction and loyalty. However, those services face specific security and privacy challenges that constrain growth. Furthermore, patients’ information is scattered in several hospitals with...
Article
Full-text available
A figurative language expression known as sarcasm implies the complete contrast of what is being stated with what is meant, with the latter usually being rather or extremely offensive, meant to offend or humiliate someone. In routine conversations on social media websites, sarcasm is frequently utilized. Sentiment analysis procedures are prone to e...
Article
Full-text available
Sarcasm is a language phrase that conveys the polar opposite of what is being said, generally something highly unpleasant to offend or mock somebody. Sarcasm is widely used on social media platforms every day. Because sarcasm may change the meaning of a statement, the opinion analysis procedure is prone to errors. Concerns about the integrity of an...
Article
Social media platforms now a day are mainly used for news consumption among users. Political groups use social media platforms to attract users by enclosing users' votes in their favor. Due to the large volume of data on social media, it is essential to verify the authenticity of the content. The use of artificial intelligence techniques including...
Article
Several factors hinder information retrieval in the medical profession. Consumers (layman people) often struggle to learn medical terms. Because medical terms are more evident to professionals, it is difficult for consumers to construct a query using medical terms. Consumers would find it easier to access relevant medical information if medical wor...
Chapter
Sentiment analysis is difficult nowadays when we collect data from social media sites as people from every walk of life come there and write their opinion about various things. Social media is very powerful, but it has a lot of liberty too. People while posting text online do not give any importance about how grammatically correct they are. Moreove...
Article
Full-text available
Faces are the most common biometric used for the identification of a person. Law enforcement agencies use face as a key point to identify the suspect involved in unlawful activities. Forensic sketches are normally developed by the sketch artist based on verbal details provided by an eyewitness about the suspect. In a forensic sketch, the facial des...
Article
Full-text available
Code-mixing on social media is a trend in many countries where people speak multiple languages, such as India, where Hindi and English are major communication languages. Sentiment analysis is beneficial in understanding users’ opinions and thoughts on social, economic, and political issues. It eliminates the manual monitoring of each and every revi...
Chapter
The sentiment is opinion or thought about a particular product or a specific situation. Sentiment analysis is applied to extract the subject information from text. Sentiment is computed using feature level, entity level, sentence level, document level. This paper proposed a sentiment detection tool that detects the sentiment (positive or negative)...
Chapter
This paper gives an overview of various CBIR (Content-Based Image Retrieval) Techniques. CBIR is a system that utilizes different image features, like texture, color, and shape information, to fetch different images from a huge database. CBIR systems are mostly used in the medical field as they collect images from a huge database depending on the s...
Chapter
Social media have earned fame for consuming the news due to their quick proliferation and availability. However, they are also the main contributor in spreading fake news. Fake images spread over microblogging platforms like Twitter generates misrepresentation and arouses destructive emotions in consumers. This makes the detection of fake images ov...
Chapter
Today, a massive outbreak of a deadly virus has challenged humanity in each aspect; we deemed ourselves powerful. Millions of people are at risk, and in some cases, even if the person has reported negative, it is relapsing. Globally, data scientists are also working to tackle this issue by diagnosing, predicting it with the help of machines. Artifi...
Article
With the ongoing covid-19 pandemic, people rely on online communication to remain connected as a precautionary measure to maintain social distancing. When we have no one on our side to listen and console us in state of fear and dilemma, we try to find comfort in anonymity of social media. Tracking real-time changes in sentiments are quite difficult...
Chapter
Query reformulation (QR) is the process to make initial query exact by generating more significant terms. Term extraction and selection are one of the techniques of it. QR eliminates irrelevant and repetitive terms from the top ranked documents and upgrades the effectiveness of IR system. There are various term extraction and selection methods, and...
Chapter
The technology revisions are too quick to resist or stay apart. Most of the work, on massive and streaming data, tries to scale up the computation. The scale up and scale out comes with its own set of advantages and disadvantages. The computational hardware has already been used to its limits with best of the algorithms. Our work proposes and imple...
Chapter
Thousands of faces can be remembered by a single individual. Faces with diverse shapes, sizes, and colors might be recalled. People are distinguished from one another by their face form and color, which makes them easier to recall. A person’s face is a crucial element for identifying them. When someone interacts with an unfamiliar individual, the p...
Article
Full-text available
Spotting fake news is a critical problem nowadays. Social media are responsible for propagating fake news. Fake news propagated over digital platforms generates confusion as well as induce biased perspectives in people. Detection of misinformation over the digital platform is essential to mitigate its adverse impact. Many approaches have been imple...
Article
Microblogging applications are currently used to disseminate information with concise text and images. Nevertheless, they are also the largest platform for circulating forged images. Forged images are digital photographs that have been modified to deceive or distort the information they communicate. These manipulated images posted on microblogging...
Article
Full-text available
Streams are temporally ordered, rapid changing, ample in volume, and infinite in nature. It is nearly impossible to store the entire data stream due to its large volume and high velocity. In this work, the principle of parallelism is employed to accelerate stream data computing. GPU-based high-performance computing (HPC) framework is proposed for a...
Article
During the development and maintenance phases of evolving software, new test cases would be needed for the verification of the accuracy of the modifications as well as for new functionalities leading to an increase in the size of the test suite. Various related objectives are to be kept in mind while reducing the original test suite by removing red...
Conference Paper
Worldwide, the number of trademarks is growing exponentially, but it is still a difficult challenge to evaluate perceptual similarity and determine an acceptable measure of similarity for trademarks. To secure the legal rights of a registered trademark, a reliable and an efficient system for the retrieval of trademark images is necessary. We sugges...
Article
Full-text available
Internet users are getting more and more dependent for information regarding their daily lives. Most of the users are connected to each other using social networks. Social networking sites not only helps the users to connect and talk to each other but also share information with each other. Twitter [1] users attach their location information with t...
Article
Full-text available
To increase the Information Retrieval System’s efficiency, there is a requirement to expand the native user query. There are many approaches to enhance the user query in which the primary method consists of semantic-based query expansion (QE). In a semantic-based QE approach, relevant documents are retrieved by considering all the similar terms of...
Chapter
Cricket is most lovable game in the world. It is played in many formats. One of the most popular format is IPL (Indian Premier League) which is hosted by BCCI (Board of Control for Cricket in India) every year. IPL is involved in business and money as the players across the globe are auctioned by the businessmen to form their teams. This paper pres...
Article
Full-text available
Social media are the main contributors to spreading fake images. Fake images are manipulated images altered through software or by other means to change the information they convey. Fake images propagated over microblogging platforms generate misrepresentation and stimulate polarization in the people. Detection of fake images shared over social pla...
Chapter
Massive Data Stream (MDS) is one research section of Big Data. The data streams which have large velocity are also known as Elephant Flows. The challenges of Velocity, as per Gartner’s definition, are addressed. This paper proposes an algorithm that handles and processes Massive Data Streams. The Service Oriented Architecture (SOA) is used to captu...
Chapter
Function as a Service is one of the most popular and used offerings of cloud paradigm and hence is continuously evolving with both changes in the offering and the implementation. To the service user, it still seems to be a black box completely abstracting the hardware implementation underneath. However, it still suffers from the common pitfalls of...
Article
Information retrieval (IR) is a field that concerns the structure, memory, analysis, and access to pieces of information. It has a wide application in various areas like search engines, communication systems, information filtering, medical search, etc. and helps design efficient and secure applications. This area has been a surge of research from t...

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