A5101795498- Human Pose and Action Recognition
- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Anomaly Detection Techniques and Applications
- Blockchain Technology Applications and Security
- Advanced Graph Theory Research
- Context-Aware Activity Recognition Systems
- Ethics in medical practice
- Academic integrity and plagiarism
- Network Security and Intrusion Detection
- Artificial Intelligence in Healthcare
- History and Theory of Mathematics
- Multimodal Machine Learning Applications
- Data Mining Algorithms and Applications
- Video Surveillance and Tracking Methods
- Hand Gesture Recognition Systems
- Advanced Algebra and Logic
- History and advancements in chemistry
- Gait Recognition and Analysis
- Remote-Sensing Image Classification
- Medicinal Plants and Neuroprotection
- Text and Document Classification Technologies
- Graph Labeling and Dimension Problems
- Phytochemicals and Medicinal Plants
- Advanced Malware Detection Techniques
National Institute of Technical Teachers Training and Research
2017-2024
Lovely Professional University
2024
MIT Art, Design and Technology University
2024
Narendra Dev University of Agriculture and Technology
2024
Shri Jagdishprasad Jhabarmal Tibrewala University
2020-2023
Savitribai Phule Pune University
2023
Veer Bahadur Singh Purvanchal University
2023
Central Electronics Engineering Research Institute
2019-2022
Academy of Scientific and Innovative Research
2021-2022
Ollscoil na Gaillimhe – University of Galway
2022
Abstract Human activity recognition aims to determine actions performed by a human in an image or video. Examples of include standing, running, sitting, sleeping, etc . These activities may involve intricate motion patterns and undesired events such as falling. This paper proposes novel deep convolutional long short-term memory (ConvLSTM) network for skeletal-based fall detection. The proposed ConvLSTM is sequential fusion neural networks (CNNs), (LSTM) networks, fully connected layers....
One kind of machine learning technique that can be used to examine customer data and find recurring themes characteristics within a collection consumers is called unsupervised learning. Businesses build client groups with unique personality traits by employing clustering techniques group like together. This enables them better target each segment their marketing sales activities. Large volumes may train algorithms, which makes effective tools for businesses trying understand cater clientele.
This study examines the role of heritage hotels in Madhya Pradesh, focusing on customer service performance, satisfaction, and loyalty. Heritage hotels, with their historical cultural significance, provide a unique hospitality experience, yet balancing high standards preservation presents challenges. The research analyzes how quality, staff behavior, amenities, characteristics influence A quantitative survey-based approach was conducted among tourists employees eight including Ahilya Fort...
This study examines the effectiveness of Self-Help Groups (SHGs) in empowering women and improving their socio-economic conditions Maihar Satna, Madhya Pradesh. SHGs play a crucial role enhancing financial stability, social inclusion, decision-making skills among rural women. Using quantitative approach, data was collected through structured questionnaires from SHG members, focusing on demographic details, participation levels, microfinance access, empowerment indicators. Statistical tools...
The term "computer graphics and image processing technology" refers to a technology that is based on computers makes use of software process images in comprehensive manner. Since its introduction, it has been the subject extensive research practical use, as result, steadily evolved into fully formed flawless technical system. Image editing, composition, color correction, generation functional effects, other related tasks are among primary features included Photoshop. title bar, menu picture...
Modern economies are centered on electricity, which is also contributing to an increasing amount of energy services. As a result increased household incomes, electrification transport and rising demand for digital connected devices air conditioning, there will be rise in the need energy. Residential electricity consumption India has tripled over past few decades with houses having access uninterrupted power supply. This study conducted order understand determinants such as income, family...
Yoga can be seen as a set of fitness exercises involving various body postures. Most the available pose and action recognition datasets are comprised easy-to-moderate orientations do not offer much challenge to learning algorithms in terms complexity pose. In order observe from different perspective, we introduce YogaTube, new large-scale video benchmark dataset for yoga recognition. YogaTube aims at covering wide range complex postures, which consist 5484 videos belonging taxonomy 82...
Classifying complex human motion sequences is a major research challenge in the domain of activity recognition. Currently, most popular datasets lack specialized set classes pertaining to similar action (in terms spatial trajectories). To recognize such with high inter-class similarity, as those karate, multiple streams are required. fulfill this need, we propose MS-KARD, Multi-Stream Karate Action Recognition Dataset that uses vision perspectives, well sensor data - accelerometer and...