Academic Year 2023-2024
| S.No | Faculty Name | Research Publication Title | Type of Indexing |
|---|---|---|---|
| 1 | Dr. Divya Nalla | Strategies For Smartly Infusing Design, Innovations, And Analysis For Enhancing Research And Student Projects: A Case Study | SCOPUS |
| 2 | N. Selvamuthukumaran | DSRO Based Data Anotaiton With Improved Eddicientnet For Forest Fire Detection Using Image Provessing In Iot Environment | SCOPUS |
| 3 | Kalyan Chatterjee, M. Raju, N. Selvamuthukumaran, M. Pramod, B. Krishna Kumar | Hack: Hand Gecture Classification Using Convolution Neural Network And Generative Adversarial Network Based Data Generation Model | IEEE,SCOPUS |
| 4 | Dr. N. Lakshmi Priya | Faq Chatbot Using Ml And Nlp With Voice Assistance | UGC CARE |
| 5 | Dr. N. Lakshmi Priya | Mqtt Client Protocol Based Effective Coal Mine Management System Using Iot | SCOPUS |
| 6 | Dr. N. Lakshmi Priya | A Novel Characterization Of The Fake News In Twitter Network | SCOPUS |
| 7 | Mr. Kalyan Chatterjee | Store: Smart Cities Indore Air Pollution Prediction & Control Model Using Kal-Ann Based Smart Greenhouse Technique | SCOPUS IEEE CONFERENCE |
| 8 | Mr. Kalyan Chatterjee, R. Praveen Kumar | Pdd-Ft: Parkinson’s Disease Detection Using Ml Ensemble Techniques And Customized Big Dataset | SCI,MDPI |
| 9 | Mr. Dasa Hemanth Kumar | A Comparative Survey On Paddy Leaf Diseases Detection Using Convolution Neural Network Algorithms | SCOPUS |
| 10 | Mr. Kokkula Shiva Prasad | An Overview Of Inflammatory Spondylitis For Biomedical Imaging Using Deep Neural Networks | SCOPUS |
| 11 | Mr. Kokkula Shiva Prasad | Study On Concurrent Characteristics Of Fetal Ecg | UGC CARE |
| 12 | Mr. Kalyan Chatterjee, R. Praveen Kumar | Apict: Air Pollution Epidemiology Using Green Aqi Prediction During Winter Seasons In India | IEEE TRANSACTION,SCI |
| 13 | Mr. Kalyan Chatterjee, R. Praveen Kumar | Edgematch: A Smart Approach For Scheduling Iot-Edge Tasks With Multiple Criteria Using Game Theory | IEEE TRANSACTION,SCI |
| 14 | S. Ramchandra Reddy, Dr. G. Vishnu Murthy | Cap: Cardiovascular Disease Prediction Using A Delta Layer Based Center Vector Activation Centric Dcnn | SCOPUS |
| 15 | Dr. Sneha. G | Spatial-Spectral Sparse Optimized Cnn For Hyper Spectral Image Classification | SCOPUS |
| 16 | Dr. Sneha. G | An Optimized Cnn Gnr Detector For Methane Gas Detection From Hsi Raster Data Using Feature | SCOPUS |
| 17 | Dr. Sneha. G | Water Quality Monitoring Using Deep Learning Methods Of Optimized Parameters | SPRINGER |
| 18 | Dr. Sneha. G | Asymptotic Analysis Of Convolutional Neural Network With Minimization Of Computational Resources For Real-Time Short Video Applications | ELSEVIER |
| 19 | Dr. Sneha. G | Performance Optimization Of Short Video Using Convolutional Neural Network For Iot Applications | SPRINGER |
| 20 | S. Guru Jyothi | Fed-Rest: Federated Learning-Based Recurrent Long Short-Term Memory Model For Smart Cities Air Quality Prediction | SCOPUS |
| 21 | M.Priyadharshini | Hybrid Multi-Label Classification Model For Medical Applications Based On Adaptive Synthetic Data And Ensembles Learning | SCOPUS |
| 22 | D. Praneeth | Diabetic Retinopathy Detection Using Machine Learning And Deep Learning Techniques: A Review | UGC CARE |
| S.No | Faculty Name | Book Publication/Chapter Publication | Name of the Publisher |
|---|---|---|---|
| 1 | Mr. Kalyan Chatterjee, R. Praveen Kumar | GPA: Uni-Directional Gru Based Traffic Prediction Model For Minimizing Air Pollution | SPRINGER BOOK SERIES |
| 2 | Mr. Kalyan Chatterjee, R. Praveen Kumar | Fellu: Federated Learning – Based Lsu Model For Smart Cities Air Quality Forecasting | SPRINGER BOOK SERIES |
| 3 | Mr. Kalyan Chatterjee | Fed-Rest: Federated Learning-Based Recurrent Long Short Term Memory Model For Smart Cities Air Quality Prediction | SPRINGER BOOK SERIES |
| 4 | Mr. Kalyan Chatterjee | Green: Green Approximate Computing For Next Generation Sustainability | SPRINGER BOOK SERIES |
| 5 | Mr. Kalyan Chatterjee, M. Raju, R. Praveen Kumar | Comprehensive Approaches For Pm2.5 Concentration Prediction In Urbanized And Industrilaized Regions: Machine Learning And Deep Learning Solutions | SPRINGER BOOK SERIES |
| 6 | Mr. Kalyan Chatterjee, R. Praveen Kumar, S Ramcchandra Reddy | Generative Ai: Theory And Applications, “Climate Science In The Digital Age: Generative Ai Transferations In Education” | ELSEVIER,SCOPUS |
| 7 | Mr. Kalyan Chatterjee, M. Raju, R. Praveen Kumar | Generative Ai: Theory And Applications, “Empowering Sustainable Cities: Generative Ai Solutionss For Urban Development And Climate Action In Athens” | ELSEVIER,SCOPUS |
| 8 | Mr. Kalyan Chatterjee | Swarm Optimixation For Biomedical Application “Radiant Insights: Unveiling The Future Of Cancer Diagnosis Through Dota-Noc And Pet-Ct Algorthmic Synergy” | CRCPRESS, TAYLOR & FRANCIS GROUP |
| 9 | Dr. M. Priyadarshini, Dr. R. Praveen Kumar | Swarm Optimixation For Biomedical Application “Swarm Intelligence In Lung Cancer Detection And Iot-Enabled Data Transmission: A Technical Approach” | CRCPRESS, TAYLOR & FRANCIS GROUP |
| 10 | Dr. Sneha. G | Genomics Data Analysis With Optimized Convolutional Neural Network (Cnn) For Edge Applications | WILEY SCRIVENER PUBLISHING |
| 11 | Dr. Sneha. G | Optimized Cnn Learning With Threading For Forgery Feature Detection In Real-Time Streaming Approaches | WILEY SCRIVENER PUBLISHING |
| 12 | Dr. Sneha. G | A Survey On Security Model For Internet Of Things Environment | WILEY SCRIVENER PUBLISHING |
| 13 | K.Shiva Prasd, S. Ramchandra Reddy, A S Harsha Vardhan, N. Rahul | Smart Cyber Revolution With Iot & Artificial Intelligence | IIP SERIES PUBLISHER |
Academic Year 2022-2023
| S.No | Faculty Name | Research Publication Title | Type of Indexing | Type of Publication |
|---|---|---|---|---|
| 1 | Mr.P.Vamshi Krishna | WEB-CAM EYE TRACKER FOR CONTROLLING MOUSE EVENTS | UGC CARE | JOURNAL |
| 2 | Dr.V.Ajitha | HOOK MALWARE DETECTION IN APK USING ADVANCED MACHINE LEARNING ALGORITHM | CONFERENCE | CONFERENCE |
| 3 | Mrs. Divya | SANITY AN ANDROID APPLICATION FOR DEMENTIA PEOPLE | CONFERENCE | CONFERENCE |
| 4 | Mrs.S.Guru Jyothi | DIGITAL CURRENCY MARKET PREDICTION WITH ARTIFICIAL INTELLIGENCE | UGC CARE | JOURNAL |
| 5 | Dr. N. Laxmi Priya | AUTOMATED IMAGE CAPTION GENERATOR | UGC CARE | JOURNAL |
| 6 | Mrs Shailaja | DETECTING DRIVER DROWSINESS USING FACIAL RECOGNITION | UGC CARE | JOURNAL |
| 7 | Mr. B.Ramesh | DETECTING DRIVER DROWSINESS USING FACIAL RECOGNITION | UGC CARE | JOURNAL |
| 8 | Mr. Kalyan Chatterhee, Dr. R Praveen Kumar | GRU-TPM: GRU BASED TRAFFIC PREDICTION MODEL FOR CONTROLLING AIR POLLUTION | SCOPUS CONFERENCE | CONFERENCE |
| 9 | Mrs. N.Ramya | APPLICATION FOR SKIN DISEASE DIAGNOSIS SYSTEM USING CONVNET | UGC CARE | JOURNAL |
| 10 | Mrs. Samatha Sri Chathurvedi | UTILIZING BLOCKCHAIN AND AI TO ENSURE DATA SECURITY | UGC CARE | JOURNAL |
| 11 | Mr. Kalyan Chatterjee | ML Based Sleep Detection And Wakeup Alert System | SCI | CONFERENCE |
| 12 | Mr. Selvamuthukumaran | MOVIE SUGGESTION SYSTEM USING MACHINE LEARNING TECHNIQUES | UGC CARE | JOURNAL |
| 13 | Dr. M Raju | SECURSHARE: TRUST BASED PHOTO PRIVACY | UGC CARE | JOURNAL |
| 14 | Mrs. V. Sirisha | LEO-THE VIRTUAL ASSISTANTANCE | UGC CARE | JOURNAL |
| 15 | Mrs. Swarna Emmadi | HUMAN DETECTION AND COUNTING | UGC CARE | JOURNAL |
| 16 | Mr. Kiran Kumar B | DETECTION OF FIRE COMBUSTION IN FOREST USING DEEP LEARNING | UGC CARE | JOURNAL |
| 17 | Mr. Kalyan Chatterjee | Detection of Parkinson’s Disease via Ensemble techniques and customize Big dataset for co-author | SCOPUS | JOURNAL |
| 18 | Mrs. T. Malathi | Placement Recruitment System in Engineering Colleges | CONFERENCE | CONFERENCE |
| 19 | Dr. M Raju | EV CHARGING STATION FINDER AND SLOT BOOKING APPLICATION | UGC CARE | JOURNAL |
| 20 | Mrs. S. R. Shailaja | AN EFFICIENT NIDS USING ENSEMBLE TECHNIQUES FOR MULTINOMINAL CLASSIFICATION | UGC CARE | JOURNAL |
| 21 | Mr. G. Prasanna Kumar | DISEASE PREDICTION AND DRUG RECOMMENDATION SYSTEM USING MACHINE LEARNING | UGC CARE | JOURNAL |
| 22 | Mr. D. Praneeth | BIOMETRIC BASED FINGERPRINT VERIFICATION SYSTEM FOR ATM MACHINES | UGC CARE | JOURNAL |
| 23 | Dr.V.Ajitha | Enhancing Security with Automated Weapon Detection: A CNN and YOLO-V5-Based Video Surveillance System with Alarm Integration | UGC CARE | JOURNAL |
| 24 | Dr. Padma Lochan Pradhan | VIRTUAL MOUSE IMPLEMENTATION USING OPEN COMPUTER VISION | UGC CARE | JOURNAL |
| 25 | Dr. N. Lakshmi Priya | AUTOMATIC SMART PARKING SYSTEM | UGC CARE | JOURNAL |
| 26 | Mrs. N. Ramya | CROPCHAT AGRICULTURAL BOT | UGC CARE | JOURNAL |
| 27 | Mr. B. Ramesh | E-VOTING SYSTEM | UGC CARE | JOURNAL |
| 28 | Mr. B. Srinivas | CLASSIFICATION ALGORITHMS FOR EART DISEASE PREDUCTION AND THEIR ACCURACIES | UGC CARE | JOURNAL |
| 29 | Mr. R. Uttam Sai | WEB BASED AGRICULTURE ASSISTANCE USING MACHINE LEARNING | UGC CARE | JOURNAL |
| 30 | Mr. Dayakar | APPLICATION OF ML ALGORITHM FOR FLIGHT DELAY FORECASTING | UGC CARE | JOURNAL |
| 31 | Mr. S. Ramchandra Reddy | MEDIFIT | UGC CARE | JOURNAL |
| 32 | Mr. Kiran Kumar B | YOUTUBE VIDEO SPEECH-TO-TEXT SUMMARIZER | UGC CARE | JOURNAL |
| 33 | Mr. B. Krishna Kumar | ENHANCING ACCESSIBILITY AND USER EXPERIENCE THROUGH HEAD CONTROLLED MOUSE | UGC CARE | JOURNAL |
| 34 | CH Sathyanarayana | SOCIAL DISTANCE MONITORING WITH SURVILENCE | UGC CARE | JOURNAL |
| 35 | Mr. G. Srikanth Reddy | SMART SHOPPING CART USING IOT | UGC CARE | JOURNAL |
| 36 | Ms. D.S.Sameena Begum | DETECTING PHISHING WEBSITE USING MACHINE LEARNING | UGC CARE | JOURNAL |
| 37 | Mrs. G. Ramadevi | TOXIC COMMENT CLASSIFICATION ON SOCIAL MEDIA USING NLP | UGC CARE | JOURNAL |
| 38 | Mr. B. Ramesh | SMART GARBAGE MONITORING AND MANAGEMENT SYSTEM | UGC CARE | JOURNAL |
| 39 | Dr. R. Praveen Kumar | Dynamic Placement Assitance Portal | UGC CARE | JOURNAL |
| 40 | Mr. G. Prasanna Kumar | Virtual Interviewer Using Deep Learning | UGC CARE | JOURNAL |
| 41 | Mr. J.Prema Sagar | AVERAGE FUEL CONSUMPTION IN HEAVY VEHICLES USING SUPERVISED LEARNING | UGC CARE | JOURNAL |
| 42 | Mrs. S Gurujyothi | PREVENTING LEAKAGE OF INFORMATION IN MULTICLOUD STORAGE SERVICES | UGC CARE | JOURNAL |
| 43 | Mrs. T. Malathi | CLASSIFICATION OF CYBER THREAT USING MACHINE LEARNING MODELS IN SUPPLY CHAIN MANAGEMENT | UGC CARE | JOURNAL |
| 44 | DR. N. Lakshmi Priya | QOS BASED EFFICIENT LINK AND CONSISTENT ROUTING IN WIRELESS SENSOR NETWORK | SCOPUS | JOURNAL |
| 45 | Dr. V.Ajitha | Advanced Resume Shortlisting using NLP | CONFERENCE | CONFERENCE |
| 46 | Dr. V.Ajitha | ADVANCED EXPLORATORY DATA ANALYSIS ON CREDIT DATA | CONFERENCE | CONFERENCE |
| 47 | Dr. V.Ajitha | DEMYSTIFYING CLUSTERING IN TOPIC MODELING ALGORITHMS LIKE BERT | CONFERENCE | CONFERENCE |
| 48 | Dr. V.Ajitha | SENTIMENT ANALYSIS | CONFERENCE | CONFERENCE |
| 49 | Dr. V.Ajitha | VISUALIZING GEOSPATIAL DATA USING GEOPANDAS | CONFERENCE | CONFERENCE |
| 50 | Dr. V.Ajitha | PERSONAL VOICE ASSISTANT | CONFERENCE | CONFERENCE |
| 51 | Dr. V.Ajitha | CREDIT CARD FRAUD DETECTION SYSTEM | CONFERENCE | CONFERENCE |
| 52 | Dr. V.Ajitha | DEEP LEARNING WITH FAST AI | CONFERENCE | CONFERENCE |
| 53 | Dr. V.Ajitha | TEXT CLASSIFICATION | CONFERENCE | CONFERENCE |
| 54 | Dr. V.Ajitha | SALARY ANALYSIS AND PREDICTION USING MACHINE LEARNING | CONFERENCE | CONFERENCE |
| 55 | Dr. V.Ajitha | DOPPELGANGER MINING FOR FACE REPRESENTATION LEARNING | CONFERENCE | CONFERENCE |
| 56 | Dr. V.Ajitha | CONVOLUTIONAL NEURAL NETWORK FOR IMAGE RECOGNITION | CONFERENCE | CONFERENCE |
| 57 | Dr. V.Ajitha | NETFLIX DATA ANALYSIS | CONFERENCE | CONFERENCE |
| 58 | Dr. V.Ajitha | CHATBOT AND VIRTUAL ASSISTANT | CONFERENCE | CONFERENCE |
| 59 | Dr. V.Ajitha | MOVIE RECOMMENDER SYSTEM | CONFERENCE | CONFERENCE |
| 60 | T. MALATHI | STUDY AND ANALYSIS OF STATISTICAL MODELLING THROUGH DATA MINING | UGC CARE | JOURNAL |
| 61 | T. MALATHI | ANALYSIS OF EDUCATION ANALYTICS USING MACHINE LEARNING TECHNIQUES | UGC CARE | JOURNAL |
| 62 | T. MALATHI | APPLICATION OF CONCEPT OF DATA MINING IN EDUCATION ANALYTICS | UGC CARE | JOURNAL |
| 63 | T. MALATHI, DR. M. RAJU | ENHANCEMENT OF DRUG RECOMMENDATION SYSTEM IN MEDICAL FIELD USING SENTIMENT ANALYSIS | UGC CARE | JOURNAL |
| S.No | Faculty Name | Book Publication/Chapter Publication | Name of the Publisher |
|---|---|---|---|
| 1 | Mrs. SIRISHA VELURI | “PYTHON PROGRAMMING ESSENTIALS FOR ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING” PUBLISHED THROUGH SCIENTIFIC INTERNATIONAL PUBLISHING HOUSE WITH ISBN : 978-93-94002-52-4 | IIP BOOK PUBLISHER |
| 2 | DR.DIVYA NALLA | Nexus Rising to the Top Book Volume III | NEXUS PUBLISHER |
Academic Year 2021-2022
| S.No | Faculty Name | Research Publication Title | Type of Indexing |
|---|---|---|---|
| 1 | Dr. Divya Nalla | Nalla, Divya. “Driving Teaching and Learning in Online mode: A Case Study.” 2021 IEEE Frontiers in Education Conference (FIE). IEEE, 2021. | SCOPUS |
| 2 | Dr. Padma Lochan Pradhan | Asthana, Abhishek, and Padma Lochan Pradhan Dr. “Proposed L-Shape Pattern on UFS ACM For Risk Analysis.” Journal of Digital Forensics, Security and Law 17.1 (2022): 7. | SCOPUS |
| 3 | Dr. Padma Lochan Pradhan | Asthana, Abhishek, and Padma Lochan Pradhan. “Dynamic Butterfly ACM for Risk optimization of real time unix operting system “International journal of software Innovation (IJSI) 10.1 (2022): 1-16. | SCOPUS |
| 4 | Dr. Padma Lochan Pradhan | Lenin, J., et al. “Connectivity and Mobility Awake Efficient Routing In MWSN.” Journal of Physics: Conference Series. Vol. 1964. No. 4. IOP Publishing, 2021. | SCOPUS |
| 5 | Dr. PSV Sivakumar | Sivakumar, P., et al. “Vehicular Formed Network Coding Conscious Connectivity for Sensor Networks.” Journal of Physics: Conference Series. Vol. 1964. No. 6. IOP Publishing, 2021. | WEB OF SCIENCE |
| 6 | Dr. N. Swapna Suhasini | Dr.N.Swapna Suhasini, “Cloud Finder: A System For Proce ssing Big Data Workloads On Volunteered Federated Cloud”, Journal of Webology, V 19, 2022 | SCOPUS |
| 7 | Dr. X. S. Asha Shiny | Dr.X.S.Asha Shiny, et al. “Energy Theft Monitoring Using Smart WIFI Circuit Breaker International Journal of MC Square Scientific Research”, V 13, 2021. | SCOPUS |
| S.No | Faculty Name | Book Publication | Name of the Publisher |
|---|---|---|---|
| 1 | Mrs. B K Madhavi | Madhavi B K, et Al., “Programming in C”, published by Das Ganu Prakashan Nagpur, ISBN: 978-93-84336-21-9, 2022. | DAS GANU PRAKASHAN PUBLISHER |
| 2 | Dr. Sitendra Tamrakar | Sitendra Tamrakar, et. Al. “Cloud computing infrastructure for enabling future technology Advancement”, United States, Nova Science Publishers, Incorporated, ISBN: 9781685076153, 2022 | NOVA SCIENCE PUBLISHERS |
| 3 | Dr. Sitendra Tamrakar | Tamrakar, Sitendra, B. K. Madhavi, and V. Mohan. “Democratizing Sentiment Analysis of Twitter Data Using Google Cloud Platform and BigQuery.” Handbook of Intelligent Computing and Optimization for Sustainable Development (2022): 287-304 | NOVA SCIENCE PUBLISHERS |
| 4 | Dr. Sitendra Tamrakar | Tamrakar, Sitendta, Ramesh Vishwarkarma, and Sanjive Kumar Guptha, “Low cost RobustService Overloading Fusion Model for Cloud Environments.” Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks. CRC Press 203-216. | CRC PRESS PUBLISHER |
1. Network Security:
Network Security protects network and data from breaches, intrusions and other threats. This is a vast and overarching term that describes hardware and software solutions as well as processes or rules and configurations relating to network use, accessibility, and overall threat protection.Network Security involves access control, virus and antivirus software, application security, network analytics, types of network-related security (endpoint, web, wireless), firewalls, VPN encryption and more.
Publications:
- B.K.Madhavi, Ethereum Based Decentralized Application for Crowd Funding of Charity Projects, Parishodh Journal, 2347-6648, Volume IX, Issue III, March, 2020
- Dr. X.S. ASHA SHINY, Detection of Hazardous Gas using Wearable Wireless Sensor Networks for Industrial Applications, 4 July 2020
- B.K.Madhavi , Dr.Vila M Ghodki, V.Mohan , An Enhanced Genetic Algorithm based Intrusion Detection System for Detection of Denial-of-Service Attacks” International Journal of Computer Science Trends and Technology(IJCST) , Vol 4, Issue 5, Oct-16.
- B.K.Madhavi, K.C.Arun, Automation of Evaluation of RF Receiver Systems using GPIB (IEEE-488) Bus System, National Conference on Advances in Computing and Networking by Jawaharlal Nehru Technological University – Hyderabad -Pg.No.94-100, Dec 6th – 7th 2013.
2. Mobile Adhoc Network (MANET)
A MANET consists of a number of mobile devices that come together to form a network as needed, without any support from any existing internet infrastructure or any other kind of fixed stations. A MANET can be defined as an autonomous system of nodes or MSs(also serving as routers) connected by wireless links, the union of which forms a communication network modeled in the form of an arbitrary communication graph.
Publications:
- Mr.P.V.S.Siva Prasad, Dr.S. Krishna Mohan Rao, A Survey on Performance Analysis of MANETs Under Security Attacks International Journal of Advance Information Science and Technology (IJAIST), Jul-17
- Mr.P.V.S.Siva Prasad, Dr.S. Krishna Mohan Rao, HIASA: Hybrid Improved Artificial Bee Colony and Simulated Annealing based Attack Detection Algorithm in Mobile Ad-hoc Networks (MANETs) International Journal of Industrial Engineering and Management Science (IJIEMS), May-17
- Dr.Sitendra Tamrakar, “Reliability of Next Generation MANET Routing Through E-RAT”, in IEEE’s International Conference on Advances in Technology, Management & Education, 8th to 9th January 2021, at National Institute of Technical Teachers’ Training and Research (N.I.T.T.T.R.) Bhopal.
- Dr.Sitendra Tamrakar, “Recent traffic allocation methods in MANET: A review,” in Confluence 2013: The Next Generation Information Technology Summit (4th International Conference), vol., no., pp.220-226, 26-27 Sept. 2013.
- Dr.Sitendra Tamrakar, “VOIP and data storage in wireless GSM modem over MANET area,” in Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on , vol., no., pp.31-36, 25-26 March 2013.
3. Artificial Intelligence and Machine Learning
Artificial intelligence is a technology that enables a machine to simulate human behavior. Machine learning is a subset of AI which allows a machine to automatically learn from past data without programming explicitly. The goal of AI is to make a smart computer system like humans to solve complex problems. Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.
Publications:
- V. Mohan, A Comparative Study of Machine Learning and DNN Approaches for Detecting DDoS Attacks, Parishodh Journal, Volume IX, Issue III, March, 2020
- Dr. X. S. Asha Shiny Learning Algorithms Processing in Big Data Analytics Journal of Engineering Services 0377-9254 Vol11 Issue2 February, 2020
- Mrs. Vijetha Ringu A Proposal to use GAN for speech recognition in Natural Language Processing IJCR 2320-2882 Vol.8 Issue 6 Jun-20
- Mr.V Rajasekhar Reddy, A Decision Making system Analysis in Artificial Intelligence Journal of Emerging Technologies and Innovative Research (JETIR), Dec-18
- Mr.G.Venkateshwarlu, Mr.K Saikumar, Mr. A Vijay Kumar, A Prototype Analysis of Machine Learning Methodologies for sentiment analysis of Social Network International Journal of Engineering and Technology (IJET) 2018
4. Cloud Computing
Cloud Computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing. Instead of buying, owning, and maintaining physical data centers and servers, you can access technology services, such as computing power, storage, and databases, on an as-needed basis from a cloud provider.
Publications:
- Dr.Sitendra Tamrakar, “Combined Security and Service Overloading Fusion Model for Cloud Environment”, International Journal of Science and Research, International Journal of Science and Research, Vol 6, Issue 8, Aug 2017, pp. 1109 – 1112.
- Dr.Sitendra Tamrakar, “An Efficient Methodology for Cloud Computing to Retrieve Data” published in International Journal of Emerging Technology and Advanced Engineering, Volume 4, Issue 11, November 2014, pp 383-387.
- Dr.Sitendra Tamrakar, “Modified Apriori algorithm for pre defined support and confidence in cloud computing environment for frequent pattern mining” published in International Journal of Engineering Research & Technology, Vol. 2 Issue 5, May – 2013, pp 836-840.
- Dr.Md.Yusuf Cloud computing, Orthogonal Grey Wolf Optimization algorithm for task scheduling in Cloud Environment”, International Journal of Computer Science and Mobile Computing International Journal of Computer Science and Mobile Computing 2320-088X Vol.9 Issue 11 5th November 2020
- Dr Sasikala Collaborator Continuance Trust Organization Conveninences for cloud customers, The International journal of analytical and experimental modal analysis, Volume XII, Issue VI, June, 2020
- Dr. D. Durga Bhavani, Implementation and Analysis of Open Source Computing on Cloud-Based ERP Method, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 7, Jul-16
- Dr. D. Durga Bhavani, Implementation and Analysis of Open Source Computing on Cloud-Based ERP Method International Journal of Advanced Research in Computer and Communication Vol 5 Issue 7 July 2016,
5. Big data
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.
Publications:
- A.Vijay Kumar, Dr Mani Sharma Vittapu, The Development of Big Data for security incident and event management systems International conference on Research Advancements in Computer Science and Communication (ICRACSC-2016) Dec-16
- Dr. M. Suresh Babu Mr. Mohammad Raziuddin, Mining Consumer Knowledge from Shopping Experience: A case study on Indian e_Commerce Industry International Journal of Advanced Engineering, Management and Science Vol-1, Issue-6 Sep-15
6. Data Mining
Data mining is one of the most useful techniques that help entrepreneurs, researchers, and individuals to extract valuable information from huge sets of data. Data mining is also called Knowledge Discovery in Database (KDD). The knowledge discovery process includes Data cleaning, Data integration, Data selection, Data transformation, Data mining, Pattern evaluation, and Knowledge presentation.
Publications:
- Dr. S. Prabagar, A Comprehensive Study on Social Network Mental Disorder Detection via Online Social Media Mining, International Journal of Management, Technology And Engineering, Volume IX Issue V May 2019
- Dr. Sitendra Tamrakar, Efficient Pattern Generation using Declat Algorithm Based on Association Rule Mining in Educational Data Mining, International Journal of Engineering and Advanced Technology (IJEAT), Volume-9 Issue-3 February, 2020
- Dr. X. S. Asha Shiny, Data Mining on Large Scale Unstructured Datasets, The International journal of analytical and experimental modal analysis, Vol XI, Issue IX February, 2020