A5038027789- Advanced Neural Network Applications
- Parallel Computing and Optimization Techniques
- Dental Implant Techniques and Outcomes
- Algorithms and Data Compression
- Vehicle License Plate Recognition
- Advanced Image and Video Retrieval Techniques
- Autonomous Vehicle Technology and Safety
- Robotics and Sensor-Based Localization
- Advanced Data Storage Technologies
- Dental materials and restorations
- Hepatitis C virus research
- Advanced Surface Polishing Techniques
- Cytomegalovirus and herpesvirus research
- Interconnection Networks and Systems
- Hepatitis B Virus Studies
- Graph Theory and Algorithms
Simon Fraser University
2024-2025
PES University
2020-2021
Saveetha University
2016
Andhra University
2014
Recent metallurgical research and advancement in material science has benefited orthodontists the selection of an appropriate wire size alloy type, which is necessary to provide optimum predictable treatment results. The purpose study was clinically evaluate compare surface characteristics 16 x 22 stainless steel, Titanium molybdenum alloy, timolium, titanium-niobium before after placing them a patient's mouth for 3 months using scanning electron microscope (SEM).The total sample 40, were...
State-of-the-art domain specific architectures (DSAs) work with sparse data, and need hardware support for index data-structures [31, 43, 57, 61]. Indexes are more space-efficient sparse-data, reduce DRAM bandwidth, if data reuse can be managed. However, indexes exhibit dynamic accesses, chase pointers, to walk-and-search. This inflates the working set thrashes cache. We observe that cache organization itself is responsible this behavior.
We present MarvinEye, a novel computer vision-based framework with many possible applications, successfully validated on semi-guided autonomous rover traversal. The is based an innovative, robust, and extendable three-tier architecture composed of primary-secondary setup elector for outlier error filtration. MarvinEye demonstrably accurate to compete RP-LiDAR requires only two algorithms dominant divergence, making resource optimal alternative proximity sensors. thorough experimental...
We present ORIS, a holistic autonomous traversal assist system. ORIS follows multimodal architecture which includes navigation, environment sense, and on road vehicle object detection. Introducing Level 4 autonomy within vehicles in India has been challenge, with ambiguous signs to unkept markings, developing an system is hurdled countless challenges. tackles the aforementioned challenges by introducing efficient minimalistic image-input based tagging solution over three different facets:...