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Vaishali Wadhwa
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A heterogeneous ensemble forecasting model for disease prediction
N Sharma, J Dev, M Mangla, VM Wadhwa, SN Mohanty, D Kakkar
New Generation Computing, 1-15, 2021
602021
Real-life applications of the Internet of Things: Challenges, applications, and advances
M Mangla, A Kumar, V Mehta, M Bhushan, SN Mohanty
CRC Press, 2022
362022
Handbook of Research on Machine Learning: Foundations and Applications
M Mangla, SK Shinde, V Mehta, N Sharma, SN Mohanty
CRC Press, 2022
242022
Proposed framework for fog computing to improve quality-of-service in IoT applications
R Akhare, M Mangla, S Deokar, V Wadhwa
Fog Data Analytics for IoT Applications: Next Generation Process Model with …, 2020
162020
Optimization of De Jong’s function using genetic algorithm approach
M Kapoor, V Wadhwa
International Journal of Advanced Research in Computer Science and …, 2012
122012
Heart Disease Prediction and Classification using Machine Learning and Transfer Learning Model
R Sivaprasad, M Hema, BN Ganar, DM Sunil, V Mehta, M Fahlevi
2022 International Conference on Automation, Computing and Renewable Systems …, 2022
92022
Automatic building detection using modified grab cut algorithm from high resolution satellite image
M Khurana, V Wadhwa
Int J Adv Res Comput Commun Eng 4 (8), 158-164, 2015
82015
Statistical analysis for air quality assessment and evaluation: a data mining approach
M Mangla, N Sharma, V Mehta, SN Mohanty, K Saxena
2021 9th International Conference on Reliability, Infocom Technologies and …, 2021
52021
Employing machine learning for multi-perspective emotional health analysis
M Mangla, R Akhare, S Deokar, V Mehta
Emotion and Information Processing: A Practical approach, 199-211, 2020
52020
Jaiditya Dev, Monika Mangla, Vaishali Mehta Wadhwa, Sachi Nandan Mohanty, and Deepti Kakkar. A heterogeneous ensemble forecasting model for disease prediction
N Sharma
New Generation Computing 39 (3-4), 701-715, 2021
42021
A comparative analysis of PMX, POS and OX crossover operators for solving.
S Goel, V Wadhwa
International Journal of Latest Research in Science and Technology 2 (2), 80-83, 2013
42013
Proposed algorithm for optimization of job scheduling in multiprocessor systems using genetic approach
K Nagpal, V Wadhwa
International Journal of Computer Applications and Information Technology …, 2012
42012
Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models
M Mangla, N Sharma, P Garg, V Wadhwa, K Thirunavukkarasu, S Khan
John Wiley & Sons, 2021
32021
Multivariate economic analysis of the government policies and COVID-19 on financial sector
M Mangla, N Sharma, S Yadav, V Mehta, D Kakkar, P Kandukuri
International Journal of Computer Applications in Technology 66 (3-4), 294-302, 2021
32021
Facility location problem using Genetic algorithm: a review
V Wadhwa, D Garg
Research Journal of Computer Systems and Engineering–RJCSE 2 (2), 2011
32011
Machine Learning based Exploratory Data Analysis (EDA) and Diagnosis of Chronic Kidney Disease (CKD)
V Mehta, N Batra, S Goyal, A Kaur, KV Dudekula, GJ Victor
EAI Endorsed Transactions on Pervasive Health and Technology 10, 2024
22024
Genetic algorithm Approach for Optimal CPU Scheduling
P Sindhwani, V Wadhwa
IJCST 2 (2), 92-95, 2011
22011
Uses And Challenges of Deep Learning Models for Covid-19 Diagnosis and Prediction
VM Wadhwa, M Mangla, R Aneja, M Chawla, A Sarkar
Challenges and Opportunities for Deep Learning Applications in Industry 4.0, 67, 2022
12022
A systematic review of deep learning techniques for semantic image segmentation: methods, future directions, and challenges
AS Pall, N Sharma, KP Sharma, V Wadhwa
Handbook of research on machine learning, 49-86, 2022
12022
Fake News Predictor Model-Based on Machine Learning and Natural Language Processing
P Bhartiya, S Yadav, V Wadhwa, P Mittal
Handbook of Research on Machine Learning, 479-501, 2022
12022
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