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In the present work, aluminium doped strontium ferrite nanoparticles (

The education ecosystem in India is primarily dependent on face to face interaction of teachers with students. Technology assistive tools available to educators act as an aid for imparting quality education. However, the complete transition from face-to-face interaction to virtual interaction was challenging for educators over the world during the Covid-19 pandemic outbreak. This paradigm shift in teaching and the use of webinars as the primary resource for teaching has shown a significant impact on the learning patterns of both educators and students. This paper presents a case study conducted on

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Vision based computer interface systems provides an easy way for human to communicate with computer or machine. At an early stage of development of these system i.e. detection and tracking of objects, some parameter or feature of human body are utilized for this purpose. Skin color has proven to be the most useful and robust parameter for detection and tracking of objects in real time. Skin color detection is basically divided into two class pixel based and region based. This paper presents an overview of pixel based skin color classifier proposed by various authors with their advantages and disadvantages. The performance assessment of these methods given by various authors is also discussed here.