JOURNAL METRICS

CiteScore 2023: 2.6 ℹCiteScore:

CiteScore is the number of citations received by a journal in one year to documents published in the three previous years, divided by the number of documents indexed in Scopus published in those same three years.

SCImago Journal Rank (SJR) 2023: 0.278 ℹSCImago Journal Rank (SJR):

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Source Normalized Impact per Paper (SNIP) 2023: 0.609 ℹSource Normalized Impact per Paper(SNIP):

SNIP measures a source’s contextual citation impact by weighting citations based on the total number of citations in a subject field. It helps you make a direct comparison of sources in different subject fields. SNIP takes into account characteristics of the source's subject field, which is the set of documents citing that source.

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Archive

MCNN: A Deep Learning Based Rapid Diagnosis Method for COVID-19 from the X-ray Images

Ashish Tripathi, Arush Jain, Krishna K. Mishra, Anand Bhushan Pandey, Prem Chand Vashist

https://doi.org/10.18280/ria.340601

Page 673-682

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A Novel Filtered Segmentation-Based Bayesian Deep Neural Network Framework on Large Diabetic Retinopathy Databases

Shaik Akbar, Divya Midhunchakkaravarthy

https://doi.org/10.18280/ria.340602

Page 683-692

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Unique Lion Identification Using Triplet Loss and Siamese Networks

Glen Bennet Hermon, Durgansh Sharma

https://doi.org/10.18280/ria.340603

Page 693-700

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Big Data Clustering Using Improvised Fuzzy C-Means Clustering

Venkat Rayala, Satyanarayan Reddy Kalli

https://doi.org/10.18280/ria.340604

Page 701-708

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An Automated Framework for Patient Identification and Verification Using Deep Learning

Suresh Tommandru, Domnic Sandanam

https://doi.org/10.18280/ria.340605

Page 709-719

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AQG: Arabic Question Generator

Kheira Z. Bousmaha, Nour H. Chergui, Mahfoud Sid Ali Mbarek, Lamia Belguith Hadrich

https://doi.org/10.18280/ria.340606

Page 721-729

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Ensemble Machine Learning Methods to Estimate the Sugarcane Yield Based on Remote Sensing Information

Sandeep Kumar Singla, Rahul Dev Garg, Om Prakash Dubey

https://doi.org/10.18280/ria.340607

Page 731-743

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Application of Artificial Neural Network and Genetic Algorithm Based Artificial Neural Network Models for River Flow Prediction

Arvind Yadav, Boggavarapu Bhanu Venkata Satya Vara Prasad, Ramesh Kumar Mojjada, Kiran Kumar Kothamasu, Devendra Joshi

https://doi.org/10.18280/ria.340608

Page 745-751

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Prediction of Brain Stroke Severity Using Machine Learning

Vamsi Bandi, Debnath Bhattacharyya, Divya Midhunchakkravarthy

https://doi.org/10.18280/ria.340609

Page 753-761

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Microarray Breast Cancer Data Clustering Using Map Reduce Based K-Means Algorithm

Hymavathi Thottathyl, Kanadam Karteeka Pavan, Rajeev Priyatam Panchadula

https://doi.org/10.18280/ria.340610

Page 763-769

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