Balakrishna Gokaraju

Orcid: 0000-0002-0070-0248

According to our database1, Balakrishna Gokaraju authored at least 30 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023

EMAHA-DB1: A New Upper Limb sEMG Dataset for Classification of Activities of Daily Living.
IEEE Trans. Instrum. Meas., 2023

Integrated Approach for Heat Envelope Identification and Energy Efficiency Analysis in Buildings Using Drone Thermal Imagery and Deep Learning Techniques.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

EMG-Based Hand Gesture Recognition Using Individual Sensors on Different Muscle Groups.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2022
Intrusion-Based Attack Detection Using Machine Learning Techniques for Connected Autonomous Vehicle.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Machine Learning Techniques to Predict Real Time Thermal Comfort, Preference, Acceptability, and Sensation for Automation of HVAC Temperature.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

2021
Thermal Imagery Feature Extraction Techniques and the Effects on Machine Learning Models for Smart HVAC Efficiency in Building Energy.
Remote. Sens., 2021

The Capability Maturity Model Integrated as a Market Engineering Maturity Model.
Int. J. Serv. Sci. Manag. Eng. Technol., 2021

Geospatial and Machine Learning Regression Techniques for Analyzing Food Access Impact on Health Issues in Sustainable Communities.
ISPRS Int. J. Geo Inf., 2021

Classification of sEMG signals of hand gestures based on energy features.
Biomed. Signal Process. Control., 2021

Optimal Features for Cross Subject Classification of Imagined Left and Right Fist Movements using EEG Signals.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

An Ensemble Approach for Classification of Reach and Grasp Movements based on EEG Signals.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020
Comparison of Machine Learning and Deep Learning Models for Network Intrusion Detection Systems.
Future Internet, 2020

Pedestrian Detection for Autonomous Cars: Occlusion Handling by Classifying Body Parts.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Anomaly Based Intrusion Detection for IoT with Machine Learning.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

DeepFakes Detection in Videos using Feature Engineering Techniques in Deep Learning Convolution Neural Network Frameworks.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

Occupancy Detection for Smart HVAC Efficiency in Building Energy: A Deep Learning Neural Network Framework using Thermal Imagery.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2019
SVM based Classification Of sEMG Signals using Time Domain Features for the Applications towards Arm Exoskeletons.
Proceedings of the AIR 2019: Advances in Robotics 2019, Chennai, India, July 2-6, 2019, 2019

2018
A Machine Learning System for Classification of EMG Signals to Assist Exoskeleton Performance.
Proceedings of the 47th IEEE Applied Imagery Pattern Recognition Workshop, 2018

2016
Gabor filter based entropy and energy features for basic scene recognition.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2015
Change detection analysis of tornado disaster using conditional copulas and Data Fusion for cost-effective disaster management.
Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

Comprehensive review of evolution of satellite sensor specifications against speedup performance of pattern recognition algorithms in remote sensing.
Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2012
A Hybrid Approach for Building Extraction From Spaceborne Multi-Angular Optical Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Ensemble Methodology Using Multistage Learning for Improved Detection of Harmful Algal Blooms.
IEEE Geosci. Remote. Sens. Lett., 2012

2011
A Machine Learning Based Spatio-Temporal Data Mining Approach for Detection of Harmful Algal Blooms in the Gulf of Mexico.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011

Comprehensive performance analysis of Spatio-Temporal Data Mining approach on multi-temporal coastal remote sensing datasets.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Earthen levee monitoring with Synthetic Aperture Radar.
Proceedings of the 2011 IEEE Applied Imagery Pattern Recognition Workshop: Imaging for Decision Making, 2011

2010
AN improved ensemble appraoch with Probabilistic Neural Network-Combinational algorithm.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Sensor Web and Data Mining Approaches for Harmful Algal Bloom Detection and Monitoring in the Gulf of Mexico Region.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
A Proposal for the Standardization of Image Information Mining Systems via OGC Web Services Framework.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008


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