Manuscripts

Recent Papers

Research Paper

Heart Disease Prediction using Machine Learning Techniques

Thus preventing Heart diseases has become more than necessary. Good data-driven systems for predicting heart diseases can improve the entire research and prevention process, making sure that more people can live healthy lives. This is where Machine Learning comes into play. Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate. The project involved analysis of the heart disease patient dataset with proper data processing. Then, different models were trained and predictions are made with different algorithms KNN, Decision Tree, Random Forest, SVM, Logistic Regression, Adaboost, etc . Thus, this project presents a comparative study by analyzing the performance of different machine learning algorithms.

Published by: Hanumanth K., Pawan Sahu, Riya Gaur

Author: Hanumanth K.

Paper ID: V7I3-1971

Paper Status: published

Published: June 22, 2021

Full Details
Research Paper

Automatic vehicle plate reorganization and detection by image processing and datamining approach

Automatic Vehicle Plate Recognition (AVPR) is the extraction of vehicle license plate information from an image or sequence of images. From the past thirty years, AVPR is becoming the challenging and interesting area of research. AVPR systems include a wide range of applications. Numerous real-world applications such as electronic toll collection, automatic parking management, access control, radar-based speed-control, border control, criminal pursuit, traffic law enforcement, etc. have been benefited from it. A lot of commercial AVPR systems are available today and yet there are many challenges and issues in accurate recognition of license plates. In India, number plate standards are rarely practised. Licence plates recognition has many problems like unnecessary text, different font size and font type, blur, skew, environmental factors etc. The variations of the licence plate types or environments cause challenges in the recognition of number licence plates. The major objective of this thesis is to develop a robust, accurate and reliable automatic vehicle license plate recognition system. Our suggested approach is performed in three phases: In the first phase, the input image is pre-processed. Character regions are extracted in the second phase, and in the third phase, recognition of extracted characters is performed. The present work has been performed to recognize Indian licence plates

Published by: Rangrajan Chaurasiya, Dr. Rajat Joshi

Author: Rangrajan Chaurasiya

Paper ID: V7I3-2034

Paper Status: published

Published: June 22, 2021

Full Details
Research Paper

Energy Efficient Cluster base routing approach by GWO and Tabu search optimization with Cluster Topology in Wireless sensor Network

A wireless sensor network is a group of nodes that are connected to each other by wireless connection. These types of networks work on the dynamic topology of the network because the positions of nodes in the wireless network are changing continuously. f WSN is increasing rapidly and simultaneously this technology is facing various major challenges of energy constraints depending upon the limited lifetime of batteries as each of its node relies on energy demand for performing the basic operational activities which has become the major reason behind the failure in wireless sensor networks. One node interruption may result in shutting down the overall operation of the system. The nodal operation relies on active TLOde, idle, and sleeping TLOdes. In case of active TLOdes, energy is consumed while transmitting or receiving the data. In case of idle TLOde, the node consumes the energy same as consumed in active type node whereas in case of sleeping TLOde, the node gets shut down in order to save the energy. To build the life expectancy of WSN the usage of vitality in a productive way is a TLOst normal issue.

Published by: Amardeep Kour, Dr. Rajat Joshi

Author: Amardeep Kour

Paper ID: V7I3-2033

Paper Status: published

Published: June 22, 2021

Full Details
Research Paper

Detection of plant leaf disease using image segmentation and Convolution Neural network and machine learning approaches

Productivity in agriculture is a big concern. Disease is important in agriculture because it occurs naturally in plants. if good precaution is not taken, so these plants and quantity is diminished. h. As a primary goal of the new Proposed architecture, the use of disease and classifier features is needed to identify proper disease features. The primary aim of successful design is residual learning such that vital facets of firm learning are also improved. Non-linear discriminative learning at the base of a neural network experiments were run in the Village with the measurements of 11 different diseases was designed using the CNN features, which yielded an accuracy rate of 98% on the validation sets.

Published by: Tasleema Jan, Dr. Rajat Joshi

Author: Tasleema Jan

Paper ID: V7I3-2032

Paper Status: published

Published: June 22, 2021

Full Details
Research Paper

Improved DoS attack detection and Prevention by SVM based optimize Leach Routing and clustering approach

It improves the packet delivery ratio of the network. The following measures were used to assess the success of a previous strategy: packet delivery ratio, throughput, number of flooded packets, and residual network energy. The findings correspond to reliable and secure data transfer between source and destination by addressing DoS assaults. Indeed, a particularly fatal attack is the Wormhole denial-of-service (DoS) attack, in which attackers establish low-latency connections between two network nodes.

Published by: Simranjeet Kour, Dr. Rajat Joshi

Author: Simranjeet Kour

Paper ID: V7I3-2031

Paper Status: published

Published: June 22, 2021

Full Details
Case Study

The rise of cyber crime and need of cybersecurity

Network safety adopts a substantial part in the field of data innovation .Receiving the data have gotten conceivably the greatest test in the present day. At whatever point we contemplate the network safety the main thing that rings a bell is 'digital wrongdoings' which are escalating enormously step by step. Different Governments and organizations are partaking in numerous actions to forestall these cybercrimes. Other than different dealings, network safety is as yet a foremost worry to many. This paper for the most part, centres around complications encountered by network safety on the most recent developments .It additionally centres around the most recent of the digital protection procedures, moralities and the designs altering the essence of network protection.

Published by: Aksh Yadav, Advay Surve, Siddhant Singh, Harsh Singh, Poonam Vengurlekar

Author: Aksh Yadav

Paper ID: V7I3-1982

Paper Status: published

Published: June 22, 2021

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X