Geeta Rani

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A Comparative Analysis of Deep Learning Models Applied for Disease Classification in Bell Pepper

Nidhi Kundu, Geeta Rani, V. Dhaka, 2020, 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC).

Applying Deep Learning for Genome Detection of Coronavirus

Geeta Rani, V. Dhaka, Sahil Verma, 2020 .

A deep learning model for mass screening of COVID‐19

Geeta Rani, V. Dhaka, Tarushi Sharma, 2021, Int. J. Imaging Syst. Technol..

A Review on Machine Learning Techniques for Prediction of Cardiovascular Diseases

Savita, Geeta Rani, Ganga Sharma, 2020, 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC).

Applying deep learning-based multi-modal for detection of coronavirus

Geeta Rani, V. Dhaka, Sahil Verma, 2021, Multimedia Systems.

A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs

E. Zumpano, Geeta Rani, V. Dhaka, 2022, Intelligent Systems with Applications.

Obstructive Sleep-Apnea Detection using Signal Preprocessing and 1-D Channel Attention Network

Geeta Rani, V. Dhaka, Ankit Misra, 2022, 2022 2nd Asian Conference on Innovation in Technology (ASIANCON).

IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet

Marcin Wozniak, Muhammad Fazal Ijaz, Vijaypal Singh Dhaka, 2021, Sensors.

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases

Marcin Wozniak, Kavita, Muhammad Fazal Ijaz, 2021, Sensors.

AI-Based Yield Prediction and Smart Irrigation

Manoj Kumar Sharma, Vijaypal Singh Dhaka, Deepak Sinwar, 2019, Studies in Big Data.

Diabetes prediction using artificial neural network

Geeta Rani, V. Dhaka, R. Poonia, 2020, Deep Learning Techniques for Biomedical and Health Informatics.

Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea

D. P. Bavirisetti, Geeta Rani, V. Dhaka, 2023, Sensors.

Optimized contrast enhancement for tumor detection

Monika Agarwal, Geeta Rani, Vijaypal Singh Dhaka, 2020, Int. J. Imaging Syst. Technol..

Comparative performance assessment of deep learning based image steganography techniques

Geeta Rani, V. Dhaka, Manjit Kaur, 2022, Scientific Reports.

Role of artificial neural networks in predicting design and efficiency of dye sensitized solar cells

Geeta Rani, V. Dhaka, Neeraj Tomar, 2022, International Journal of Energy Research.

Molecular Structure-Based Prediction of Absorption Maxima of Dyes Using ANN Model

E. Zumpano, Geeta Rani, V. Dhaka, 2023, Big Data Cogn. Comput..

Machine Learning Model for Multi-View Visualization of Medical Images

Vijaypal Singh Dhaka, Nitesh Pradhan, Himanshu Chaudhary, 2020, Comput. J..

Transforming view of medical images using deep learning

Vijaypal Singh Dhaka, Nitesh Pradhan, Geeta Rani, 2020, Neural Computing and Applications.

An Optimized Machine Learning Approach for Coronary Artery Disease Detection

Geeta Rani, Apeksha Mittal, S. Savita, 2023, Journal of Advances in Information Technology.

Efficient Predictive Modelling for Classification of Coronary Artery Diseases Using Machine Learning Approach

Savita, Vijaypal Singh Dhaka, Geeta Rani, 2021, IOP Conference Series: Materials Science and Engineering.

Contrast Enhancement Using Optimum Threshold Selection

Geeta Rani, Monika Agarwal, Geeta Rani, 2020, Int. J. Softw. Innov..

Machine Learning and IoT based Disease Predictor and Alert Generator System

Vijaypal Singh Dhaka, Geeta Rani, Nidhi Kundu, 2020, 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC).

A deep reinforcement learning technique for bug detection in video games

Geeta Rani, V. Dhaka, U. Pandey, 2022, International Journal of Information Technology.

Hybrid RNN-based classification of Obstructive Sleep Apnea using single-lead ECG Signals

Geeta Rani, V. Dhaka, Prashant Hemrajani, 2023, 2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON).

Seeds Classification and Quality Testing Using Deep Learning and YOLO v5

Vijaypal Singh Dhaka, Nidhi Kundu, Geeta Rani, 2021, DSMLAI.

Forecasting of mobile network traffic and spatio–temporal analysis using modLSTM

Geeta Rani, V. Dhaka, E. Vocaturo, 2023, Machine Learning.

KUB-UNet: Segmentation of Organs of Urinary System from a KUB X-ray Image

Akshat Verma, E. Zumpano, Geeta Rani, 2022, Comput. Methods Programs Biomed..

CrowdDCNN: Deep convolution neural network for real-time crowd counting on IoT edge

Geeta Rani, V. Dhaka, Rugved Chavan, 2023, Eng. Appl. Artif. Intell..

Real-Time Object Detection and Tracking Using Velocity Control

Anita Jindal, Geeta Rani, Geeta Rani, 2019, Smart Systems and IoT: Innovations in Computing.

Intelligent Systems with Applications

Geeta Rani, V. Dhaka, E. Vocaturo, 2022 .

Efficiently and securely handling multidimensional medical data of Obstructive Sleep Apnea

Geeta Rani, V. Dhaka, Prashant Hemrajani, 2023, 2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN).

LSEG: Lung Segmentation for Pulmonary Disease Affected Chest Radiographs

Geeta Rani, V. Dhaka, A. Misra, 2024, 2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON).

Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classification: A Focused Review

Nidhi Kundu, Geeta Rani, V. Dhaka, 2023, Sensors.