SOCS https://dr.ddn.upes.ac.in//xmlui/handle/123456789/3026 2026-05-14T00:43:53Z 2026-05-14T00:43:53Z Kumar, Adarsh et. al. https://dr.ddn.upes.ac.in//xmlui/handle/123456789/4490 2025-09-04T06:28:26Z 2021-06-03T00:00:00Z

Blended learning tools and practices: a comprehensive analysis Kumar, Adarsh et. al. Petroleum and Energy Studies, India, and Jaypee Institute of InformaBlended learning incorporates online learning experiences and helps students for meaningful learning through exible online information and communication technologies, reduced overcrowded classroom presence, and planned teaching and learning experience. This study has conducted surveys of various tools, techniques, frameworks, and models useful for blended learning. This article has prepared a comprehensive survey of student, teacher, and management experiences in blended learning courses during COVID-19 and pre-COVID-19 times. The survey will be useful to faculty members, students, and management to adopt new tools and mindsets for positive outcomes. This work reports on implementing and assessing blended learning at two different universities (University of tion Technology, Noida, India). The assessments prepare the benefts and challenges of learning (by students) and teaching (by faculty) blended learning courses with different online learning tools. Additionally, student performance in the traditional and blended learning courses was compared to list the concerns about effectively shifting the face-to-face courses to a blended learning model in emergencies like COVID-19. As a result, it has been observed that blended learning is helpful for school, university, and professional training. A large set of online and e-learning platforms are developed in recent times that can be used in blended learning to improve the learner's abilities. The use of similar tools (Blackboard, CodeTantra, and g suite) has fulfilled the requirements of the two universities, and timely conducted and completed all academic activities during pandemic times. The article received on April 26, 2021, accepted May 23, 2021, date of publication June 3, 2021, date of current version June 18, 2021

2021-06-03T00:00:00Z Shanu, Saurabh https://dr.ddn.upes.ac.in//xmlui/handle/123456789/4462 2025-08-11T10:29:38Z 2023-12-01T00:00:00Z

Complex network analysis and its application to wildlife corridors using machine intelligence Shanu, Saurabh Thesis submitted in partial fulfillment of the requirements for the award of the Degree of Doctor of Philosophy (Computer Science and Engineering)

2023-12-01T00:00:00Z Goel, Gaurav https://dr.ddn.upes.ac.in//xmlui/handle/123456789/4446 2025-03-28T04:35:47Z 2024-05-01T00:00:00Z

Efficient resource scheduling for optimal quality-of-service in fog computing Goel, Gaurav Thesis submitted in partial fulfillment of the requirements for the award of the Degree of Doctor of Philosophy (Computer Science and Engineering)

2024-05-01T00:00:00Z Koyyada, Shiva Prasad https://dr.ddn.upes.ac.in//xmlui/handle/123456789/4445 2025-03-28T04:25:01Z 2024-09-01T00:00:00Z

Lung disease classification based on micro patterns identification through attention guided mechanism from X-ray images Koyyada, Shiva Prasad Thesis submitted in partial fulfillment of the requirements for the award of the Degree of Doctor of Philosophy (Computer Science and Engineering)

2024-09-01T00:00:00Z