Balakrishna Gokaraju
Orcid: 0000-0002-0070-0248
According to our database1,
Balakrishna Gokaraju
authored at least 31 papers
between 2008 and 2023.
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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
Problems and Solutions of Point Cloud Mapping for VR and CAVE Environments for Data Visualization and Physics Simulation.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 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
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
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
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
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
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