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

Efficient Computation for Localization and Navigation System for a Differential Drive Mobile Robot in Indoor and Outdoor Environments

Selvaraj Karupusamy, Sundaram Maruthachalam, Suresh Mayilswamy, Shubham Sharma, Jujhar Singh, Giulio Lorenzini

https://doi.org/10.18280/ria.350601

Page 437-446

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Firefly Optimization Based Noise Additive Privacy-Preserving Data Classification Technique to Predict Chronic Kidney Disease

Preet Kamal Kaur, Kanwal Preet Singh Attwal, Harmandeep Singh

https://doi.org/10.18280/ria.350602

Page 447-456

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Hate Speech in the Arab Electronic Press and Social Networks

Widad Awane, El Habib Ben Lahmar, Ayoub El Falaki

https://doi.org/10.18280/ria.350603

Page 457-465

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Vigorous IDS on Nefarious Operations and Threat Analysis Using Ensemble Machine Learning

Usman Shuaibu Musa, Sudeshna Chakraborty, Hitesh Kumar Sharma, Tanupriya Choudhury, Chiranjit Dutta, Bhagwant Singh

https://doi.org/10.18280/ria.350604

Page 467-475

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Corn Leaf Disease Detection with Pertinent Feature Selection Model Using Machine Learning Technique with Efficient Spot Tagging Model

Daneshwari Ashok Noola, Dayananda Rangapura Basavaraju

https://doi.org/10.18280/ria.350605

Page 477-482

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A Hybrid Model Integrating Singular Spectrum Analysis and Backpropagation Neural Network for Stock Price Forecasting

Asmaa Y. Fathi, Ihab A. El-Khodary, Muhammad Saafan

https://doi.org/10.18280/ria.350606

Page 483-488

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Denoising of Images Using Deep Convolutional Autoencoders for Brain Tumor Classification

Revathi Vankayalapati, Akka Lakshmi Muddana

https://doi.org/10.18280/ria.350607

Page 489-496

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A Transfer Learning Approach for Diabetic Retinopathy and Diabetic Macular Edema Severity Grading

Nida Nasir, Neda Afreen, Ranjeeta Patel, Simran Kaur, Mustafa Sameer

https://doi.org/10.18280/ria.350608

Page 497-502

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Automatic Short Answer Grading System in Indonesian Language Using BERT Machine Learning

Marvin Chandra Wijaya

https://doi.org/10.18280/ria.350609

Page 503-509

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Optimization of the Convolution Operation to Accelerate Deep Neural Networks in FPGA

Malathi Devendran, Indumathi Rajendran, Vijayakumar Ponnusamy, Diwakar R. Marur

https://doi.org/10.18280/ria.350610

Page 511-517

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