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Akademický článek

Genome-scale copy number variant analysis in schizophrenia patients and controls from South India

Autor: Minali Singh, Dibyabhabha Pradhan, Poornima Kkani, Gundugurti Prasad Rao, Naveen Kumar Dhagudu, Lov Kumar, Chellamuthu Ramasubramanian, Srinivasan Ganesh Kumar, Surekha Sonttineni, Kommu Naga Mohan

Publikováno v: Frontiers in Molecular Neuroscience, Vol 16 (2023)

Copy number variants (CNVs) are among the main genetic factors identified in schizophrenia (SZ) through genome-scale studies conducted mostly in Caucasian populations. However, to date, there have been no genome-scale CNV reports on patients from Ind

Externí odkaz: https://doaj.org/article/bc4c9d7b84b94ac1bcf7c008f1d0745c

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Akademický článek

Class-Level Refactoring Prediction by Ensemble Learning with Various Feature Selection Techniques

Autor: Rasmita Panigrahi, Sanjay Kumar Kuanar, Sanjay Misra, Lov Kumar

Publikováno v: Applied Sciences, Vol 12, Iss 23, p 12217 (2022)

Background: Refactoring is changing a software system without affecting the software functionality. The current researchers aim i to identify the appropriate method(s) or class(s) that needs to be refactored in object-oriented software. Ensemble lear

Externí odkaz: https://doaj.org/article/b28536df7cce4d859c9000ce2885dddc

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Akademický článek

A Three Dimensional Empirical Study of Logging Questions From Six Popular Q&A Websites

Autor: Harshit Gujral, Abhinav Sharma, Sangeeta Lal, Lov Kumar

Publikováno v: e-Informatica Software Engineering Journal, Vol 13, Iss 1, Pp 105-139 (2019)

Background: Q&A websites such as StackOverflow or Serverfault provide an open platform for users to ask questions and to get help from experts present worldwide. These websites not only help users by answering their questions but also act as a knowle

Externí odkaz: https://doaj.org/article/65a4f24a2df34626b413e622332bf409

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Akademický článek

An Evolutionary GA-Based Approach for Community Detection in IoT

Autor: Sanket Mishra, Chinmay Hota, Lov Kumar, Abhaya Nayak

Publikováno v: IEEE Access, Vol 7, Pp 100512-100534 (2019)

Identifying traffic congestion and solving them by using predictive models has been ongoing research in intelligent transportation scenarios. However, it is improper that such scenarios can be judged on the basis of mean traffic intensity and mean tr

Externí odkaz: https://doaj.org/article/a7e838f7b05b45b4a2469f8274a855a5

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Cross-Project Software Refactoring Prediction Using Optimized Deep Learning Neural Network With the Aid of Attribute Selection

Autor: Rasmita Panighrahi, Sanjay Kumar Kuanar, Lov Kumar

Publikováno v: International Journal of Open Source Software and Processes. 13:1-31

Cross-project refactoring prediction is prominent research that comprises model training from one project database and testing it for a database under a separate project. While performing the refactoring process on the cross project, software program

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aabd5caf6aef741eceadd2413c97415f
https://doi.org/10.4018/ijossp.300756

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