A5101416798- Hand Gesture Recognition Systems
- Robot Manipulation and Learning
- Image Retrieval and Classification Techniques
- Natural Language Processing Techniques
- Handwritten Text Recognition Techniques
- Advanced Image and Video Retrieval Techniques
- Water resources management and optimization
- Synthesis and biological activity
- Water Systems and Optimization
- Vehicle License Plate Recognition
- Dam Engineering and Safety
- Mass Spectrometry Techniques and Applications
- Safety Warnings and Signage
- Syntax, Semantics, Linguistic Variation
- Teleoperation and Haptic Systems
- Face and Expression Recognition
- Irrigation Practices and Water Management
- Quinazolinone synthesis and applications
- Structural Analysis and Optimization
- Soil and Unsaturated Flow
- Advanced Proteomics Techniques and Applications
- Infrastructure Maintenance and Monitoring
- Chemical Reaction Mechanisms
- Video Analysis and Summarization
- Multilingual Education and Policy
Shri Ramswaroop Memorial College of Engineering and Management
2023
Shri Ramswaroop Memorial University
2023
Amrita Vishwa Vidyapeetham
2016
Council of Scientific and Industrial Research
2010-2012
Central Electronics Engineering Research Institute
2010-2012
Govind Ballabh Pant University of Agriculture and Technology
1994
This paper presents a new approach for controlling robotic hand or an individual robot by merely showing gestures in front of camera. With the help this technique one can pose gesture vision range and corresponding to notation, desired action is performed system. Simple video camera used computer vision, which helps monitoring presentation. consists four modules: (a) A real time formation monitor capture, (b) feature extraction, (c) Pattern matching recognition, (d) Command determination...
Ionized groups carry net charge and thus play a major role in the electrostatic interactions between ligand receptor. However, their ionization states depend on such factors as pH of water phase, with other charges molecules. Therefore, must be predicted prior to application silico screening or docking protocols. A typical virtual protocol searches for new heat compounds by testing hundreds thousands millions small molecules against particular target Differences size receptors ligand, large...
This paper describes a robust technique to determine happy/sad/neutral facial gestures of humans by processing an image containing human face. It aims do away with the cumbersome process training computer images and thereby significantly reducing time. In this face is identified using skin color identification on various spaces like HSV YCbCr. Segmented features lips are determined unique feature determination. Contour formed for different moods analyzed identify, gesture. Edge detection...
Objectives: A framework involving Scansnap SV600 scanner and Google Optical character recognition (OCR) for creating parallel corpus which is a very essential component of Statistical Machine Translation (SMT). Methods Analysis: Training language model SMT system highly depends on the availability corpus. An efficacious approach collecting sentences predominant step in an MT system. However, creation requires extensive knowledge both languages time consuming process. Due to these...
Codifyk is a cross platform application which designed to tackle the problems faced by programmers.The coding space fragmented as there are multiple websites for coders use.Also, no dedicated only programmers contact while at same time.The serves centralized hub community, providing users connect, collaborate and share information knowledge.Using modern technologies such flutter firebase, our provides user-friendly environment with an efficient event management system supportive community...
This comprehensive investigation uses powerful NLP and multi-modal integration to detect fake information on social media. Our technique was tested using 10,000 news pieces from various media networks. Advanced models are crucial, with the state-of-the-art transformer model, BERT, collecting subtle contextual 94.2% accuracy. SVM BERT had greatest classification accuracy at 95.6% when combined ensemble approaches. Multi-modal sources including picture captions user metadata improved...
The rising number of accidents caused by failure to obey traffic laws and road signs can be addressed through a sign detection system its mapping for navigation. This paper addresses solution that utilizes generated training data made from photos location signs. Our detects notifies drivers upcoming during navigation, even if they are obscured weather or other factors. assures fewer allows focus on driving rather than reading every single achieves the accuracy up 99.27%.
Abstract Durch Kondensation entsprechender Mercaptane (I) mit den Chloracetamiden (II) werden die Titelverbindungen (III) synthetisiert.