Dr Rajat Bhardwaj

@jainuniversity.ac.in

Associate Professor/ CSE
Jain University



                    

https://researchid.co/aryan3297

RESEARCH INTERESTS

Manets, IoT, AIML, Blockchain, Networks, Healthcare, etc

20

Scopus Publications

114

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • An artificial intelligence-based decision support system for early and accurate diagnosis of Parkinson's Disease
    Mahesh T.R., Vinoth Kumar V., Rajat Bhardwaj, Surbhi B. Khan, Nora A. Alkhaldi, Nancy Victor, and Amit Verma

    Elsevier BV

  • Virtual reality in tourism: Assessing the authenticity, advantages, and disadvantages of VR tourism
    Raj Gaurang Tiwari, Abeer A. Aljohani, Rajat Bhardwaj, and Ambuj Kumar Agarwal

    De Gruyter

  • Accurate and Automated Deep Learning Solution for Skin Cancer Detection


  • HCoF: Hybrid Collaborative Filtering Using Social and Semantic Suggestions for Friend Recommendation
    Mahesh Thyluru Ramakrishna, Vinoth Kumar Venkatesan, Rajat Bhardwaj, Surbhi Bhatia, Mohammad Khalid Imam Rahmani, Saima Anwar Lashari, and Aliaa M. Alabdali

    MDPI AG
    Today, people frequently communicate through interactions and exchange knowledge over the social web in various formats. Social connections have been substantially improved by the emergence of social media platforms. Massive volumes of data have been generated by the expansion of social networks, and many people use them daily. Therefore, one of the current problems is to make it easier to find the appropriate friends for a particular user. Despite collaborative filtering’s huge success, accuracy and sparsity remain significant obstacles, particularly in the social networking sector, which has experienced astounding growth and has a large number of users. Social connections have been substantially improved by the emergence of social media platforms. In this work, a social and semantic-based collaborative filtering methodology is proposed for personalized recommendations in the context of social networking. A new hybrid collaborative filtering (HCoF) approach amalgamates the social and semantic suggestions. Two classification strategies are employed to enhance the performance of the recommendation to a high rate. Initially, the incremental K-means algorithm is applied to all users, and then the KNN algorithm for new users. The mean precision of 0.503 obtained by HCoF recommendation with semantic and social information results in an effective collaborative filtering enhancement strategy for friend recommendations in social networks. The evaluation’s findings showed that the proposed approach enhances recommendation accuracy while also resolving the sparsity and cold start issues.

  • An efficient Apriori algorithm for frequent pattern in human intoxication data
    Md. Mehedi Hassan, Sadika Zaman, Swarnali Mollick, Md. Mahedi Hassan, M. Raihan, Chetna Kaushal, and Rajat Bhardwaj

    Springer Science and Business Media LLC

  • A hybrid approach for medical images classification and segmentation to reduce complexity
    Ankit Kumar, Surbhi Bhatia, Rajat Bhardwaj, Kamred Udham Singh, Neeraj varshney, and Linesh Raja

    Springer Science and Business Media LLC

  • An enhanced Active Reinforcement Learning for Autonomous Robotics in Industrial automation
    V. Aravinda Rajan, T. Marimuthu, Rajat Bhardwaj, and Rishi Prakash Shukla

    IEEE
    An enhanced active reinforcement learning technique has been proposed to enable autonomous robots to operate and execute tasks in industrial automation. This approach combine hierarchical reinforcement learning and Bayesian optimization, to acquire knowledge from complex real-world environments and acquire optimal policies which can enable autonomous robots to perform collaborative tasks efficiently. The main advantage of this enhanced active reinforcement learning approach is the capability of the autonomous robot to autonomously adapt its movements and decision-making strategies when new tasks are required. It allows for the robot to explore its environment and learn how to complete tasks optimally while reducing the burden of manual intervention. Moreover, the proposed approach can generalize its knowledge to establish rewarding collaborative behaviors between robots and humans, thus allowing for collaborative human-robot interactions. This will be beneficial in performing industrial automation with robot cooperative tasks and optimize the efficiency of the industrial automation system..

  • The Intelligent Information Integrity Model to Ensure the Database Protection Using Blockchain in Cloud Networking
    Raja Praveen K N and Rajat

    IEEE
    In the era of cloud networking, database protection is a problem that is becoming more and more crucial, and blockchain technology is emerging as a potent remedy. Blockchain is a digital ledger technology that uses an immutable, distributed, and decentralized record of transactions to build a secure, transparent, and auditable data protection system. The integrity of data saved in the cloud is further ensured by using blockchain technology. By using cryptographic hashes, data stored on the blockchain can be verified for accuracy and authenticity. This means that any changes or modifications to the data will be detected and addressed. Furthermore, blockchain technology provides a permanent and immutable record of transactions, making it difficult for data to be tampered with or corrupted. In addition to its security benefits, blockchain technology also offers scalability, efficiency, and cost savings. Blockchain-based databases are much more efficient than traditional databases, as they require fewer resources and are able to process a larger volume of transactions. Furthermore, since blockchain technology is decentralized, it can work across multiple devices and networks, allowing for a more efficient and cost-effective solution.

  • Human Posture Recognition by Distribution-Aware Coordinate Representation and Machine Learning


  • Deep Learning Model based Novel Semantic Analysis
    Rajat, Priyanka Jaroli, Chaitanya Singla, Vivek Bhardwaj, and Srikanta K Mohapatra

    IEEE
    Nowadays each and every person connected through the digital platform. The digital market take place the physical market. People purchase everything not going physically on market and buy everything. In the e-commerce platform initially, people purchase any product firstly read the review regarding the product as well as organization provided by the previous customer. The paper illustrates a sentiment analysis on the huge amazon customer review data from the e-commerce website. Initially the dataset in the json format and preprocessing on the data set and convert the dataset into CSV file. Secondly, load the dataset and break the collective information into the training and testing information. Using the method inverse document frequency and term frequency and get features of the information dataset. At last, the deep learning model is use and evaluate the reviews of the customer. The result final outcomes result shows the model precision, recall, f-measure, accuracy and time of the developed model on the real text data.

  • K-Nearest Neighbor (KNN), Soil Evaluation, Classifier and Accuracy
    V Vivek and Rajat

    IEEE
    Since the computer’s invention, every subject of knowledge has been digitalized, allowing computer users to view all available information. Because of this, data in every industry is growing exponentially. This article explains why researchers study agriculture. We projected three new classification approaches to overawe these restrictions: Hybrid KNN classification methods produce and choose prototypes from an initial training set. These methods include training set reduction KNN, which uses prototype selection to reduce training sets, training set reduction, which creates training set prototypes utilizing either the Elbow or Silhouette technique, and hybrid classification approaches, which use both prototype generation & selection mechanisms. If any of these strategies are to succeed, the KNN classifier must finish its classification work faster and use less space. Utilizing a soil fitness card agricultural dataset, we tested our unique classification algorithms and found that they solve our concerns.

  • Mental health issues assessment using tools during COVID-19 pandemic
    Hamnah Rao, Meenu Gupta, Parul Agarwal, Surbhi Bhatia, and Rajat Bhardwaj

    Springer Science and Business Media LLC

  • Using Mobile Computing to Provide a Smart and Secure Internet of Things (IoT) Framework for Medical Applications
    Rajesh Kumar Kaushal, Rajat Bhardwaj, Naveen Kumar, Abeer A. Aljohani, Shashi Kant Gupta, Prabhdeep Singh, and Nitin Purohit

    Hindawi Limited
    Mobile computing and technology are becoming more common in many parts of private life and public services, and they are playing an increasingly important role in healthcare, not just for sensory devices but also for communication, recording, and display. They are used for more than only sensory devices but also for communications, recording, and display. Numerous medical indications and postoperative days must be monitored carefully. As a result, the most recent development in Internet of Things- (IoT-) based healthcare communication has been embraced. The Internet of Things (IoT), which is employed in a wide range of applications, is a catalyst for the healthcare industry. Healthcare data is complicated, making it difficult to handle and evaluate in order to derive useful information for decision-making. On the other hand, data security is a vital requirement in a healthcare data systems. Determining the need for a smart and secure IoT platform for healthcare applications, we create one in this study. Here, a cutting-edge encryption algorithm is used to protect the health data. Normalization is first used to preprocess the data and remove any irrelevant information. Using principal component analysis and logistic regression, the data’s features are extracted (LR-PCA). To choose the pertinent features, a feature selection process based on genetic algorithms is used. We have put out a brand-new kernel homomorphism. To increase the security of the IoT network, use the two-fish Encryption algorithm (KHTEA). EBSMO (exponential Boolean spider monkey optimization) is used to further boost the encryption process’ effectiveness. Utilizing the MATLAB simulation tool, the proposed system is assessed, and the metrics are contrasted with the accepted practices. Our suggested solution has been shown to be effective in protecting medical healthcare data. The effectiveness of the proposed and existing approaches is assessed using metrics for encryption time, execution time, and security level. The security precautions we suggested for healthcare data worked well.

  • Inverse Document Frequency & KNN Machine Learning Approach based Novel Text Semantic Analysis
    Abeer A. Aljohani, Priyanka Jaroli, and Rajat Chitkara

    IEEE
    In the modern era each and every thing is digital. E- commerce takes the place of the physical market. People buy anything not going physically anywhere and they are used the E-commerce platform. When The people buy, initially read the reviews provided by the previous customer regarding the product and decide they buy or not. So, the reviews are most essential part of the customer as well as for the customer. This paper delineates the sentiment analysis (SEAN) of the cell amazon real data values initially, use the NLTK, Porter Stemmer and various processing for pre-process the data and get the clean and desired data. Secondly, use the term frequency inverse document frequency (TFIDF) method for extracting the feature and divide the data using the train and test split and last apply the K-nearest neighbor method to train the machine. The artificial model predicts the positive and negative reviews. The experiment outcome result shows the model accuracy, precision, recall of the novel developed algorithm on the real text set.

  • IoT Based Multi-Layered Security Network Authentication System Development Using Blockchain Technology Management
    Sumeet Gupta, M. K. Sharma, Rupinder Singh, Hashem Ali Almashaqbeh, Rajat, and Durgaprasad Gangodkar

    IEEE
    Due to the proliferation of smart devices in the Internet of Things (IoT) connections, significant security concerns for device-to-device connectivity have been raised. Blockchain is a decentralized and shareable technology that may be used to overcome security challenges in 5 g networking and Internet of Things networks, among other things. This research provides a multi-layer Blockchain Security model that may be used to protect IoT networks while also making their implementation simpler. The grouping idea is used to ease the multi-layer design. Inside this IoT network, the K-unknown groups are formed utilizing methodologies that use hybrid Adaptive Computational Algorithms as well as Evolutionary Techniques & Genetic Algorithms. The group leaders selected are in charge of regional identification & permission. Communications among-st group chiefs & appropriate core networks are facilitated by privately run blockchain implementations. A blockchain of this kind improves reputation verification & confidentiality while also serving as a networking identification method. For the suggested concept construction, the accessible Hyperledger Fabric Blockchain technology is used. Ground stations use a worldwide blockchain architecture to seamlessly interact with one another.

  • IoT Engineering Nanomaterial's Approach To Sustainable Advance Crop Production Management
    R. Shashikala, Bhaskar Pratap Singh, Mohammed Azam, C R Magesh, Rajat, and Devesh Pratap Singh

    IEEE
    As we all know that internet of things has now become a vital part of our generation and it has a rapid growth in the field many people see this as the next big thing but they are very much unaware of its norms and benefits it has been estimated that by the end of 2022 to there may be about 50to 60 billion internets of things are going to be installed in our rapidly growing world there are numerous benefits of the internet of things in today's fast-growing and running world but there are numerous backward points are too which make the internet of things that should be handled with care in the right hands basically what are internet of things or the thing we call as IOT so these are the touchable objects which are attached in with sensors, processing abilities, software and other technologies that connect and exchange and process data. automation in manufacturing, farming techniques, surveillance equipment, traceability, decision - making process, and prediction have the potential to transform agricultural production and the food business. Nanotechnology leads to more efficient pesticide use and more advanced agricultural production processes. More efficient, sustainable, and precise agricultural operations, as well as enhanced food processing, will result in increased output and profitability while using less raw and non-renewable resources.

  • Digital Image Processing and IoT in Smart Health Care -A review
    Isha Kansal, Renu Popli, Jyoti Verma, Vivek Bhardwaj, and Rajat Bhardwaj

    IEEE
    Health care and well-being are concerned with the upkeep or maintenance of humans through preventative medicine, diagnosis, therapies, regeneration, or prevention of disease, ailment, injury, and other health-related conditions in people. Healthcare is unique in comparison to other industries. It is an elevated segment, and people expect the best possible care and services at all costs. Through continuous integration and resource optimization, the use of IoT technology in health applications enables the health care industry to improve care quality while lowering costs. The IoT in diagnostic imaging enables real-time identification and correction of imaging apparatus parameters due to the ease with which imaging apparatus parameters can be auto-analyzed. This paper discusses the impact of online image processing methods in IoT-based health care, which can be beneficial in the health sector for predicting some major human diseases. Due to individuality, image complex nature, extensive variation between interpreters, and fatigue, human experts' ability to interpret images is quite limited. We focus on the role of Digital Image Processing in disease detection, Image Dataset Preparation for Machine and Deep Learning, the role of Digital Image Processing in IOT based applications of health care, a case study of IoT-based healthcare application of disease classification.

  • A Sentiment Analysis of Amazon Review Data Using Machine Learning Model
    Rajat Rajat, Priyanka Jaroli, Naveen Kumar, and Rajesh Kumar Kaushal

    IEEE
    Nowadays everything is digitalized in the world. In the digitalization world E-commerce take a unique place for people. People are not going anywhere and buy all the thing at home using this E-commerce platform. For selecting the platform generally used the reviews of the people which are already buy from there. The paper proposes a sentiment analysis of the large amazon real dataset based on the counter vectorizer (CV) and term frequency inverse document frequency (TF-IDF) and logistic regressor. Firstly, take the dataset from the amazon E-commerce into JSON format and load the dataset and split the dataset into train test model. Secondly, take out the features using the counter vectorizer and term frequency inverse document frequency (TF-IDF). Finally, logistic regressor (LR) is used and measure the positive and negative sentiment of the review. simulation result represents the model accuracy score, precision, recall, confusion matrix of the implemented approach.

  • Performance comparison of DSR and DSSR protocols with and without false data injection attack based on two fish algorithm using manet


  • A novel DSSR protocol with DYDOG mechanism integrated with two-fish algorithm in MANET


RECENT SCHOLAR PUBLICATIONS

  • An artificial intelligence-based decision support system for early and accurate diagnosis of Parkinson’s Disease
    TR Mahesh, R Bhardwaj, SB Khan, N Alkhaldi, N Victor, A Verma
    Decision Analytics Journal 10, 100381 2024

  • 13 Virtual reality in tourism: assessing the authenticity, advantages, and disadvantages of VR tourism
    RG Tiwari, AA Aljohani, R Bhardwaj, AK Agarwal
    Augmented and Virtual Reality in Social Learning: Technological Impacts and 2023

  • Secured Healthcare Data Sharing Through Wireless Networks for Mobile Computing Using Trust-Bat-Adaptive Homomorphic Crypto Routing Protocol
    AA Aljohani, RK Tripathi, R Bhardwaj, RK Kaushal, N Kumar, SK Gupta, ...
    2023

  • An enhanced Active Reinforcement Learning for Autonomous Robotics in Industrial automation
    VA Rajan, T Marimuthu, R Bhardwaj, RP Shukla
    2023 IEEE 2nd International Conference on Industrial Electronics 2023

  • The Intelligent Information Integrity Model to Ensure the Database Protection Using Blockchain in Cloud Networking
    RP KN
    2023 International Conference on Distributed Computing and Electrical 2023

  • Human Posture Recognition by Distribution-Aware Coordinate Representation and Machine Learning
    I De, L Rani, R Bhardwaj, AK Agarwal, RG Tiwari
    International Journal of Intelligent Systems and Applications in Engineering 2023

  • Accurate and Automated Deep Learning Solution for Skin Cancer Detection
    RG Tiwari, S Kumar, GV Londhe, AK Agarwal, R Bhardwaj
    International Journal of Intelligent Systems and Applications in Engineering 2023

  • Distributed Computing Models and Theories
    Dr. Raj Gaurang Tiwari, Dr. Ambuj Aggarwal, Dr. Abeer Aljohani, Dr. Rajat ...
    2023

  • HCoF: Hybrid Collaborative Filtering Using Social and Semantic Suggestions for Friend Recommendation
    MT Ramakrishna, VK Venkatesan, R Bhardwaj, S Bhatia, MKI Rahmani, ...
    Electronics 12 (6), 1365 2023

  • An efficient Apriori algorithm for frequent pattern in human intoxication data
    MM Hassan, S Zaman, S Mollick, MM Hassan, M Raihan, C Kaushal, ...
    Innovations in Systems and Software Engineering 19 (1), 61-69 2023

  • A hybrid approach for medical images classification and segmentation to reduce complexity
    A Kumar, S Bhatia, R Bhardwaj, KU Singh, N varshney, L Raja
    Innovations in Systems and Software Engineering 19 (1), 33-46 2023

  • HCoF: Hybrid Collaborative Filtering Using Social and Semantic Suggestions for Friend Recommendation. Electronics 2023, 12, 1365
    MT Ramakrishna, VK Venkatesan, R Bhardwaj, S Bhatia, MKI Rahmani, ...
    2023

  • K-Nearest Neighbor (KNN), Soil Evaluation, Classifier and Accuracy
    V Vivek
    2022 5th International Conference on Contemporary Computing and Informatics 2022

  • Mental health issues assessment using tools during COVID-19 pandemic
    H Rao, M Gupta, P Agarwal, S Bhatia, R Bhardwaj
    Innovations in Systems and Software Engineering, 1-12 2022

  • Using mobile computing to provide a smart and secure Internet of Things (IoT) framework for medical applications
    RK Kaushal, R Bhardwaj, N Kumar, AA Aljohani, SK Gupta, P Singh, ...
    Wireless Communications and Mobile Computing 2022, 1-13 2022

  • IoT Engineering Nanomaterial's Approach To Sustainable Advance Crop Production Management
    R Shashikala, BP Singh, M Azam, CR Magesh, DP Singh
    2022 2nd International Conference on Advance Computing and Innovative 2022

  • Deep learning model based novel semantic analysis
    P Jaroli, C Singla, V Bhardwaj, SK Mohapatra
    2022 2nd international conference on advance computing and innovative 2022

  • Inverse Document Frequency & KNN Machine Learning Approach based Novel Text Semantic Analysis
    AA Aljohani, P Jaroli, R Chitkara
    2022 2nd International Conference on Advance Computing and Innovative 2022

  • IoT Based Multi-Layered Security Network Authentication System Development Using Blockchain Technology Management
    S Gupta, MK Sharma, R Singh, HA Almashaqbeh, D Gangodkar
    2022 2nd International Conference on Advance Computing and Innovative 2022

  • Digital image processing and IoT in smart health care-A review
    I Kansal, R Popli, J Verma, V Bhardwaj, R Bhardwaj
    2022 International Conference on Emerging Smart Computing and Informatics 2022

MOST CITED SCHOLAR PUBLICATIONS

  • Using mobile computing to provide a smart and secure Internet of Things (IoT) framework for medical applications
    RK Kaushal, R Bhardwaj, N Kumar, AA Aljohani, SK Gupta, P Singh, ...
    Wireless Communications and Mobile Computing 2022, 1-13 2022
    Citations: 36

  • HCoF: Hybrid Collaborative Filtering Using Social and Semantic Suggestions for Friend Recommendation
    MT Ramakrishna, VK Venkatesan, R Bhardwaj, S Bhatia, MKI Rahmani, ...
    Electronics 12 (6), 1365 2023
    Citations: 28

  • Digital image processing and IoT in smart health care-A review
    I Kansal, R Popli, J Verma, V Bhardwaj, R Bhardwaj
    2022 International Conference on Emerging Smart Computing and Informatics 2022
    Citations: 10

  • Holes in wireless sensor networks
    R Bhardwaj, H Sharma
    International Journal of Computer Science and Informatics 2 (4), 62-63 2012
    Citations: 9

  • Deep learning model based novel semantic analysis
    P Jaroli, C Singla, V Bhardwaj, SK Mohapatra
    2022 2nd international conference on advance computing and innovative 2022
    Citations: 7

  • An efficient Apriori algorithm for frequent pattern in human intoxication data
    MM Hassan, S Zaman, S Mollick, MM Hassan, M Raihan, C Kaushal, ...
    Innovations in Systems and Software Engineering 19 (1), 61-69 2023
    Citations: 6

  • Accurate and Automated Deep Learning Solution for Skin Cancer Detection
    RG Tiwari, S Kumar, GV Londhe, AK Agarwal, R Bhardwaj
    International Journal of Intelligent Systems and Applications in Engineering 2023
    Citations: 5

  • Mental health issues assessment using tools during COVID-19 pandemic
    H Rao, M Gupta, P Agarwal, S Bhatia, R Bhardwaj
    Innovations in Systems and Software Engineering, 1-12 2022
    Citations: 4

  • A Sentiment Analysis of Amazon Review Data Using Machine Learning Model
    R Rajat, P Jaroli, N Kumar, RK Kaushal
    2021 6th International Conference on Innovative Technology in Intelligent 2021
    Citations: 3

  • The Intelligent Information Integrity Model to Ensure the Database Protection Using Blockchain in Cloud Networking
    RP KN
    2023 International Conference on Distributed Computing and Electrical 2023
    Citations: 1

  • Human Posture Recognition by Distribution-Aware Coordinate Representation and Machine Learning
    I De, L Rani, R Bhardwaj, AK Agarwal, RG Tiwari
    International Journal of Intelligent Systems and Applications in Engineering 2023
    Citations: 1

  • A hybrid approach for medical images classification and segmentation to reduce complexity
    A Kumar, S Bhatia, R Bhardwaj, KU Singh, N varshney, L Raja
    Innovations in Systems and Software Engineering 19 (1), 33-46 2023
    Citations: 1

  • IoT Engineering Nanomaterial's Approach To Sustainable Advance Crop Production Management
    R Shashikala, BP Singh, M Azam, CR Magesh, DP Singh
    2022 2nd International Conference on Advance Computing and Innovative 2022
    Citations: 1

  • Inverse Document Frequency & KNN Machine Learning Approach based Novel Text Semantic Analysis
    AA Aljohani, P Jaroli, R Chitkara
    2022 2nd International Conference on Advance Computing and Innovative 2022
    Citations: 1

  • IoT Based Multi-Layered Security Network Authentication System Development Using Blockchain Technology Management
    S Gupta, MK Sharma, R Singh, HA Almashaqbeh, D Gangodkar
    2022 2nd International Conference on Advance Computing and Innovative 2022
    Citations: 1