Computer Science and Engineering

Computer Science and Engineering Publications : View / Download All Publications

Year National Journals International Journals National Conferences International Conferences
2023-2024-10-5
2022-2023-2111
2021-2022-1717
2020-2021-1723
2019-2020-832
2018-201921226
2017-2018-1024
2016-2017-726
2015-201615310
2014-20151321
2013-2014-514
2012-2013-2--
2011-2012-1--
2010-2011--1-
2008-2009-1--
2007-2008-1-1
2006-2007--1-
2005-2006--2-
S.No Year Type Publication Details
1. 2023-2024 International Conference

“Arduino based Solar Tracker in Dual Axis”,  Margaret R E., Ragib R Sharief, Syed Ahmed Osama, Sunitha P., C. S Suresh Babu,International Conference on Current Research in Engineering & Technology -4th ICCRET-2023 Chirala, Andhra Pradesh,

04-JUNE-2023
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2. 2023-2024 International Journal

"Exploring Bias in Sclera Segmentation Models: A Group Evaluation
Approach", IEEE Transactions on Information Forensics and
Security, vol. 18, pp. 190-205, 2022.

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3. 2023-2024 International Journal

IOT based Fisherman Tracking System Using Node Microcontroller Unit, International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 07 Issue: 07 | July - 2023 SJIF Rating: 8.176 ISSN: 2582-3930  

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4. 2023-2024 International Conference

Hybrid Codebook Optimization Technique for Vector Quantization to Preserve the Quality of the Decompressed Image. In the IEEE INDISCON-2023, organized by IEEE Mysore Subsection at GSSS Institute of Engineering & Technology for Women, during 5th August -7th August 2023 in association with IEEE India Council and IEEE Bangalore Section.

5. 2023-2024 International Journal
Kavyasri M N, Sthuthi B Iyer, Omana Prabhakar, Rahul Jain H V, Rohan K, “Visual Attention Based Image Captioning”,  International research journal of  modernization in engineering and technology and science (IRJMETS)
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6. 2023-2024 International Journal

Facial Recognition for Criminal Identification,  International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 07 Issue: 07 | July - 2023 SJIF Rating: 8.176 ISSN: 2582-3930 

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7. 2023-2024 International Journal

Network intrusion detection and classification using machine learning predictions fusion,  Indonesian Journal of Electrical Engineering and Computer Science Vol. 31

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8. 2023-2024 International Journal

A Machine Learning based Approach for Crop Price Prediction, Journal of Circuits, Systems and ComputersWorld Scientific Connect Great Minds,, 8 July 2023

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9. 2023-2024 International Journal

AN OVERVIEW OF VARIOUS TECHNIQUES INVOLVED IN DETECTION OF ANOMALIES FROM SURVEILLANCE CAMERAS Vasanth Kumar N.T and Geetha Kiran .A Department of Computer Science & Engineering, Malnad College of Engineering, Hassan, Visvesvaraya Technological University, Belagavi - 590018, Karnataka, India vasanthkumarnt@gmail.com, geethaamk@gmail.com ABSTRACT In recent years, the use of surveillance cameras is rapidly increasing in both public and private areas to enhance the security measures. Many companies are recruiting people to monitor the activities captured by surveillance cameras and due to human error they may failed to monitor the abnormal events. So, an automated system to detect the anomalous events acts as a significant approach in surveillance applications. Due to sparse occurrence of anomalous activities, the detection of anomalies is remaining as a challenging task. To overcome these drawbacks, many researchers have worked to develop an effective anomaly detection methods using different approaches. This study prioritized some existing approaches to detect anomalies takes place in surveillance videos. The existing researches utilized University of Central Florida (UCF) Crime video dataset to collect the data about the anomalous activities, UCF crime video dataset consist of 13 categories of anomalies which consist of 1900 surveillance videos. The key parameters such as accuracy, recall, F1 score and Area Under Curve (AUC) are evaluated to analyse the efficiency of the existing anomaly detection methods. This survey acts as a tool for future researchers to overcome the drawbacks in the existing methods and create a novel anomaly detection approach. KEYWORDS Abnormal Events, Anomaly Detection, Automated System, Security, Surveillance Cameras.

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10. 2023-2024 International Conference

Keerthi K S; Jagadisha N; Srinivas Aluvala; M. Sasikala; Muntather Almusawi "A Linear Nearest Neighbour Lasso Step Based Honey Badger Algorithm for Robust Network Intrusion Detection System"
2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)

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