Arpit Verma

Babasaheb Bhimrao Ambedkar University

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B. C. Yadav

Babasaheb Bhimrao Ambedkar University

Priyanka Chaudhary

Babasaheb Bhimrao Ambedkar University

Ajeet Singh

Birla Institute of Technology and Science, Pilani

B. C. Yadav

Babasaheb Bhimrao Ambedkar University

Ravi Kant Tripathi

University of Delhi

Monu Gupta

Institute of Technology Management

Alka Rani

Indian Agricultural Research Institute

Anshika Singh

University of Genoa

D. K. Yadav

National Institute of Pharmaceutical Education and Research

Pratima Chauhan

University of Allahabad

Cooperative Institutions

Babasaheb Bhimrao Ambedkar University

Council of Scientific and Industrial Research

University of Delhi

University of the Free State

Academy of Scientific and Innovative Research

Banaras Hindu University

Deen Dayal Upadhyaya Gorakhpur University

Madan Mohan Malaviya University of Technology

Indian Institute of Technology Delhi

Central University of Jammu

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High-performance photodetection sensors based on (S2Ge)100−x(S3Sb2)x (x = 15, 30, 45, 60) system for optoelectronics applications

Journal of Materials Science Materials in Electronics (2023)

Rajnish Raj Pooja Lohia D. K. Dwivedi Pravin Kumar Singh Arpit Verma

Photodetection

Quantum Efficiency

Nanomaterials

Detective quantum efficiency

10.1007/s10854-023-10359-0

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Website Reorganization using Physics based Algorithms

Research Square (Research Square) (2022)

Santosh Kumar Aman Kumar Goyal Arjun D. Sharma Arpit Verma

Abstract This is the era of the internet and more than 50 percent of the population is dependent on it. Internet is collection of web pages which can be transported across it. Its size is very huge and increasing exponentially day by day. Now, around 30 percent of the overall content is duplicate. Finding relevant and required information from such a huge source of information is a very challenging task and finding top ranked results is a NP-hard problem. Majorly, the overall content can be categorized in three parts: content data, usage data and structure data. Web mining techniques and metaheuristic algorithms have been successfully applied in the literature to extract the useful information. This paper aims to provide ranking to the web links which could be utilized for restructuring of websites for business intelligence. Different features like keywords frequency, user’s navigation behaviour like unique visitors, duration stayed, access frequency, hub, and authority information has been utilized for prioritizing top-T web links. These results may be useful in different applications that include web personalization, website reorganization, recommendation systems, search engine optimization, etc. Other than this, it will also help in improving the user’s experience on websites. Based on different types of data, algorithms WLRGA, WLRBBBC, and WLRGbSA have been proposed for finding top-T web links and experimentally it has been seen that WLRGbSA is able to select top quality web links useful specially for website reorganization.

10.21203/rs.3.rs-1562303/v1

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Elsevier eBooks (2024)

Subramania Angaiah Kamlendra Awasthi Anu Bharti D. Buddhi Priyanka Chaudhary

10.1016/b978-0-323-95385-6.09989-x

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Interfacial engineering enables polyaniline-decorated bismuth sulfide nanorods towards ultrafast metal–semiconductor-metal UV-Vis broad spectra photodetector

Advanced Composites and Hybrid Materials (2024)

Anshika Singh Pratima Chauhan Arpit Verma B. C. Yadav