Ashutosh Bhatt
Ashutosh Bhatt
Associate Professor, School of of Computer Sciences & IT, Uttarakhand Open University, Haldwani
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Cited by
Cited by
An analysis of the performance of artificial neural network technique for stock market forecasting
KS Vaisla, AK Bhatt
International Journal on Computer Science and Engineering 2 (6), 2104-2109, 2010
Automatic apple grading model development based on back propagation neural network and machine vision, and its performance evaluation
AK Bhatt, D Pant
Ai & Society 30 (1), 45-56, 2015
An analysis of the performance of Artificial Neural Network technique for apple classification
AK Bhatt, D Pant, R Singh
AI & society 29 (1), 103-111, 2014
Hybridized approach of image segmentation in classification of fruit mango using BPNN and discriminant analyzer
N Kumari, AK Bhatt, RK Dwivedi, R Belwal
Multimedia Tools and Applications, 1-31, 2020
A comparative study of google and bing search engines in context of precision and relative recall parameter
TA Usmani, D Pant, AK Bhatt
International Journal on Computer Science and Engineering 4 (1), 21, 2012
Enhancing multi-tenancy security in the cloud computing using hybrid ECC-based data encryption approach
P Kumar, AK Bhatt
IET Communications 14 (18), 3212-3222, 2020
Efficient water quality prediction models based on machine learning algorithms for Nainital Lake, Uttarakhand
M Koranga, P Pant, T Kumar, D Pant, AK Bhatt, RP Pant
Materials Today: Proceedings, 2022
Performance Analysis of Support Vector Machine in Defective and Non Defective Mangoes Classification
BR Chauchan N, Bhatt A K, Dwivedi R K
International Journal of Engineering & Advanced Technology 8 (Issue 4), 2019
Analytical Study on Cardiovascular Health Issues Prediction Using Decision Model-Based Predictive Analytic Techniques
A Bhatt, SK Dubey, AK Bhatt
Soft Computing: Theories and Applications, 289-299, 2018
Data Mining Approach to Predict and Analyze the Cardiovascular Disease
A Bhatt, SK Dubey, AK Bhatt, M Joshi
Proceedings of the 5th International Conference on Frontiers in Intelligent …, 2017
HSTL IO standards based processor specific green counter design on 90 nm FPGAAbhay Saxena
A Saxena, AK Bhatt, B Pandey, P Tripathi, G Dutt
International Journal of Control and Automation 9 (7), 331-342, 2016
Stock Market Forecasting using Artificial Neural Network and Statistical Technique: A Comparison Report
KS Vaisla, AK Bhatt, S Kumar
International Journal of Computer and Network Security (IJCNS), 2010
Automated fruit grading using optimal feature selection and hybrid classification by self-adaptive chicken swarm optimization: grading of mango
N Kumari, RK Dwivedi, AK Bhatt, R Belwal
Neural Computing and Applications, 1-22, 2021
High Performance FIFO Design for Processor through Voltage Scaling Technique
A Saxena, A Bhatt, P Gautam, P Verma, C Patel
Indian Journal of Science and Technology 9 (45), 2016
SVM Model to Predict the Water Quality Based on Physicochemical Parameters
M Koranga, P Pant, D Pant, A Bhatt, R Pant, M Ram, T Kumar
International Journal of Mathemetical, Engineering and Management Sciences 6 …, 2021
Automated IoT based Smart Water Quality Assessment System
D Pant, A Bhatt, M Khan, OP Nautiyal, P Adhikari
2019 8th International Conference System Modeling and Advancement in …, 2019
Accuracy Testing of Data Classification using Tensor Flow a Python Framework in ANN Designing
N Chauhan, AK Bhatt, RK Dwivedi, R Belwal
2018 International Conference on System Modeling & Advancement in Research …, 2018
Thoracic Disease Detection using Deep Learning
H Pant, MC Lohani, AK Bhatt, J Pant, RK Sharma
2021 5th International Conference on Computing Methodologies and …, 2021
Development of an Automated Water Quality Classification Model for the River Ganga
AK Bisht, R Singh, A Bhatt, R Bhutiani
International Conference on Next Generation Computing Technologies, 190-198, 2017
Image compression algorithms under JPEG with lapped orthogonal transform and discrete cosine transformation
A Bhatt, KB Ashutosh, K BHATT
International Journal of Engineering Research and Development 7 (3), 6-10, 2013
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