Dr.B.Geethavani

@sietk.org

Professor & HOD, CSE Department
Siddharth Institute of Engineering & Technology

Dr.B.Geethavani


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https://researchid.co/bgeethavani1269

EDUCATION

Ph.D in Computer Science and Engineering., specialization areas : Artificial Neural Networks, Information Security, Computer Networks, Machine Learning

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Computer Vision and Pattern Recognition
2

Scopus Publications

60

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • A Hybrid IoT and Machine Learning Approach for Crop Recommendation Using a Voting Ensemble Model
    A. Suresh, B. Geetha Vani, M. Lavanya, R G Kumar
    2nd International Conference on Integrated Circuits and Communication Systems Icicacs 2024, 2024
    Agriculture is a key component of a nation’s economy. In the traditional method, farmers rely on experience to determine the ideal climate and environment for a given crop. Technology is advancing, and while the system depends on it to some extent, improvements are still required. This study presents an Internet of Things (IoT) based crop recommendation system that uses Machine learning (ML) to use the value that IoT devices collect from the soil. Initially, we utilized baseline ML classifier models like Support vector machine (SVM), K-Nearest Neighbor(KNN), Random forest (RF), and Random forest (NB).Then we employed an ensemble model to detect the suitable crops. We employed several IoT sensors in our research. The DHT11 sensor collects real-time environmental data, such as temperature and humidity. During crop recording, vital soil parameters like potassium and phosphorus—which are essential for crop growth—are measured using an NPK sensor, a pH sensor, and a rain sensor. These sensors can be seamlessly integrated by the IoT device, offering an effective way to collect crucial agricultural data. The Voting Base Ensemble performs exceptionally well in terms of precision, recall, and F1 score measures. The voting Base Ensemble algorithm improves metrics such as F-score, recall, and precision by up to 98%. A thorough evaluation of soil conditions is made possible by the integration of various sensors, and the application of an ensemble model enables accurate crop recommendations based on environmental factors.
  • A new approach for secure data transfer in audio signals using DWT
    B. Geethavani, E. V. Prasad, R. Roopa
    2013 15th International Conference on Advanced Computing Technologies Icact 2013, 2013
    Steganography is an information hiding technique where secret message is embedded into unsuspicious cover signal. In this paper, a novel approach of integrating the features of cryptography and audio Steganography is presented. The information to be transmitted is encrypted by using modified blowfish algorithm and resultant cipher text is embedded into a cover audio file using discrete wavelet transform (DWT). The resultant stego audio is transmitted to the receiver and the reverse process is done in order to get back the original plain text. The proposed method presents a steganographic scheme along with the cryptographic scheme which enhances the security of the algorithm.

RECENT SCHOLAR PUBLICATIONS

  • Implementation of deep learning mechanisms for detection and classification of pneumonia on chest x-ray dataset
    MR Kumar, BG Vani
    2024 International Conference on Computational Intelligence for Green and … , 2024
    2024
    Citations: 8
  • Advanced Sinonasal symptoms assessment thru innovative image processing of coronal plane CT scans
    VH B.Geethavani, K.Sreelekha
    International Conference on Innovative Approaches in Engineering and Technology , 2024
    2024
  • Voice Controlled Motorized Wheel Chair with Real-time Automated Obstacle avoidance and Health monitoring systems
    RE A. Suresh, Dr. B.Geetha Vani, R.G. Kumar
    IN Patent App. 202,441,017,461 , 2024
    2024
  • System and Method for Analysis of Soil Nutrients and Water Levels using IOT for different Land use options
    GI A. Suresh, Dr. B.Geetha Vani, R.G.Kumar
    IN Patent App. 202,441,021,990 , 2024
    2024
  • Design and Implementation of a Health care assistance robot
    NB A. Suresh, Dr. B.Geethavani, R,G. Kumar
    IN Patent App. 202,441,017,948 , 2024
    2024
  • CERTIFICATE AUTHENTICATION AND ERROR CORRECTION SYSTEM USING BLOCKCHAIN
    DRMM .Dr.A.SURESH Dr.B.GEETHA VANI Dr.R.G.KUMAR . Dr.J.MARIA AROCKIA DASS ...
    2024
  • A Hybrid IOT and Machine Learning approach for crop recommendation using a voting ensemble model
    RGK K.Lavanya, Dr.B.Geethavani, A.Suresh
    IEEE Conference on Integrated circuits and communication Systems , 2024
    2024
  • A Hybrid IoT and Machine Learning Approach for Crop Recommendation Using a Voting Ensemble Model
    A Suresh, BG Vani, M Lavanya, RG Kumar
    2024 International Conference on Integrated Circuits and Communication … , 2024
    2024
    Citations: 1
  • Breast cancer prediction using whale optimisation algorithm and ANFIS classifier
    BG M. Sri Geetha, S. Navaneethan, G. Divya
    International Jjournal of Medical Engineering and Informatics, , 2024
    2024
  • Data Base Management Systems
    PK Dr.B.Geethavani, Dr.Maria Arokia Dass
    ISBN : 978-81-19313-17-4 1, Global Aasan Research , 2023
    2023
  • Introduction to AI and ML
    HJS Dr.B.Geethavani, Dr.A.Lakshmi Priya, Dr.G.S.Uthayakumar
    Scientific International Publishing House(SIPH) 1, ISBN : 978-5757-350-4 , 2023
    2023
  • INTERNET OF THINGS (IOT) BASED SMART HEALTH CARE MEDICAL BOX FOR ELDERLY PEOPLE
    GSK Dr.B.Geethavani,B.Venkat Kethan, K.Vijay Kumar, P.Shanmuga Reddy
    IJCRT 11 (3), 121 - 129 , 2023
    2023
  • DETECTION OF DIABETES MELLITUS WITH DEEP LEARNING AND DATA AUGMENTATION TECHNIQUES ON FOOT THERMOGRAPHY
    NJR Dr.B.Geethavani, V.Keerthi Priya, V.Niharika, P.Pavitra Agnes, B.Sagar
    IJCRT 11 (2), b358 - b356 , 2023
    2023
  • A Framework for Improving the Knowledge Discovery and Privacy Factors in Vertically Partitioned Real time Medical Datasets for Prediction of Diseases
    MR Kumar, BG Vani
    Journal of Engineering Sciences 14 (08) , 2023
    2023
  • Leaf disease detection and prevention using deep learning
    S Tamilselvan, P Thanuja, B Geethavani, E Theja, S Afrin, SY Basha
    EasyChair Preprint , 2022
    2022
    Citations: 3
  • Enhance the effectiveness of predicting plant Complete nutrition deficiency using Machine learning
    KSSJ B Geethavani, N.Sushma Priyanka, M.Supriya, S.Adil, C.Ruchitha
    GIS SCIENCE JOURNAL 9 (3), 1164 - 1169 , 2022
    2022
  • Prediction of Cardiac Arrest using Machine Learning Algorithms
    KK Dr. B.Geethavani , M.Karunya Reddy , G.Jeevitha
    GIS SCIENCE JOURNAL 9 (3), 1275 - 1279 , 2022
    2022
  • Preventing Parkinson's illness Using Machine Learning Classification Techniques.
    JV Pavithra, B Geethavani, G Indravathi
    Turkish Online Journal Of Qualitative Inquiry 12 (9) , 2021
    2021
    Citations: 2
  • Early Diagnosis of Alzheimer’s Disease using Soft Computing Based Deep Learning
    B Geethavani, RM Mallika, DW Albert, MA Manivasagam
    Solid State Technology 64 (2) , 2021
    2021
    Citations: 2
  • The Study of Network Traffic Classification Strategies using Machine Learning
    DBGV K. Akshitha, A. Suresh
    Journal of The Gujarat Research Society 21 (16), 2195 -2203 , 2019
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • A new approach for secure data transfer in audio signals using DWT
    B Geethavani, EV Prasad, R Roopa
    2013 15th International Conference on Advanced Computing Technologies (ICACT … , 2013
    2013
    Citations: 21
  • High secure image steganography based on hopfield chaotic neural network and wavelet transforms
    BG Vani, EV Prasad
    International Journal of Computer Science and Network Security (IJCSNS) 13 … , 2013
    2013
    Citations: 13
  • Implementation of deep learning mechanisms for detection and classification of pneumonia on chest x-ray dataset
    MR Kumar, BG Vani
    2024 International Conference on Computational Intelligence for Green and … , 2024
    2024
    Citations: 8
  • A Review on RFID technology and applications
    M Rajanarayana, B Sasikala, B Geethavani
    International Journal of Engineering and Computer Science 7 (06), 24099-24105 , 2018
    2018
    Citations: 5
  • Leaf disease detection and prevention using deep learning
    S Tamilselvan, P Thanuja, B Geethavani, E Theja, S Afrin, SY Basha
    EasyChair Preprint , 2022
    2022
    Citations: 3
  • Preventing Parkinson's illness Using Machine Learning Classification Techniques.
    JV Pavithra, B Geethavani, G Indravathi
    Turkish Online Journal Of Qualitative Inquiry 12 (9) , 2021
    2021
    Citations: 2
  • Early Diagnosis of Alzheimer’s Disease using Soft Computing Based Deep Learning
    B Geethavani, RM Mallika, DW Albert, MA Manivasagam
    Solid State Technology 64 (2) , 2021
    2021
    Citations: 2
  • ENHANCED DATA SECURITY COMBINING ENCRYPTION AND STEGANOGRAPHY
    VPDB Geethavani
    International Journal of Research in Engineering, IT and Social Science 9 (4 … , 2019
    2019
    Citations: 2
  • A novel method of 3D image steganography using LZW technique and chaotic neural network
    BG Vani, EV Prasad
    International Journal of Computer Science and Network Security (IJCSNS) 13 … , 2013
    2013
    Citations: 2
  • A Hybrid IoT and Machine Learning Approach for Crop Recommendation Using a Voting Ensemble Model
    A Suresh, BG Vani, M Lavanya, RG Kumar
    2024 International Conference on Integrated Circuits and Communication … , 2024
    2024
    Citations: 1
  • Scalable and highly secured image steganography based on Hopfield chaotic neural network and wavelet transforms
    BG Vani, EV Prasad
    International Journal of Computer Science Issues (IJCSI) 10 (3), 82 , 2013
    2013
    Citations: 1
  • Advanced Sinonasal symptoms assessment thru innovative image processing of coronal plane CT scans
    VH B.Geethavani, K.Sreelekha
    International Conference on Innovative Approaches in Engineering and Technology , 2024
    2024
  • Voice Controlled Motorized Wheel Chair with Real-time Automated Obstacle avoidance and Health monitoring systems
    RE A. Suresh, Dr. B.Geetha Vani, R.G. Kumar
    IN Patent App. 202,441,017,461 , 2024
    2024
  • System and Method for Analysis of Soil Nutrients and Water Levels using IOT for different Land use options
    GI A. Suresh, Dr. B.Geetha Vani, R.G.Kumar
    IN Patent App. 202,441,021,990 , 2024
    2024
  • Design and Implementation of a Health care assistance robot
    NB A. Suresh, Dr. B.Geethavani, R,G. Kumar
    IN Patent App. 202,441,017,948 , 2024
    2024
  • CERTIFICATE AUTHENTICATION AND ERROR CORRECTION SYSTEM USING BLOCKCHAIN
    DRMM .Dr.A.SURESH Dr.B.GEETHA VANI Dr.R.G.KUMAR . Dr.J.MARIA AROCKIA DASS ...
    2024
  • A Hybrid IOT and Machine Learning approach for crop recommendation using a voting ensemble model
    RGK K.Lavanya, Dr.B.Geethavani, A.Suresh
    IEEE Conference on Integrated circuits and communication Systems , 2024
    2024
  • Breast cancer prediction using whale optimisation algorithm and ANFIS classifier
    BG M. Sri Geetha, S. Navaneethan, G. Divya
    International Jjournal of Medical Engineering and Informatics, , 2024
    2024
  • Data Base Management Systems
    PK Dr.B.Geethavani, Dr.Maria Arokia Dass
    ISBN : 978-81-19313-17-4 1, Global Aasan Research , 2023
    2023
  • Introduction to AI and ML
    HJS Dr.B.Geethavani, Dr.A.Lakshmi Priya, Dr.G.S.Uthayakumar
    Scientific International Publishing House(SIPH) 1, ISBN : 978-5757-350-4 , 2023
    2023