JOURNAL METRICS

CiteScore 2023: 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: 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: 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

An IoT- Enabled Augmented Reality Framework for Plant Disease Detection

Vijayakumar Ponnusamy, Sowmya Natarajan, Nandakumar Ramasamy, Christopher Clement, Prithiviraj Rajalingam, Makino Mitsunori

https://doi.org/10.18280/ria.350301

Page 185-192

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Minimization of the Number of Iterations in K-Medoids Clustering with Purity Algorithm

Rozzi Kesuma Dinata, Sujacka Retno, Novia Hasdyna

https://doi.org/10.18280/ria.350302

Page 193-199

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Classification of Computer Graphic Images and Photographic Images Based on Fusion of Color and Texture Features

Halaguru Basavarajappa Basanth Kumar, Haranahalli Rajanna Chennamma

https://doi.org/10.18280/ria.350303

Page 201-207

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A Novel Design of Classification of Coronary Artery Disease Using Deep Learning and Data Mining Algorithms

Pratibha Verma, Vineet Kumar Awasthi, Sanat Kumar Sahu

https://doi.org/10.18280/ria.350304

Page 209-215

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Mapping Relational Database to OWL Ontology Based on MDE Settings

Benamar Bouougada, Djelloul Bouchiha, Redha Rebhi, Ali Kidar, Giulio Lorenzini, Abdelghani Bouziane, Hijaz Ahmad, Younes Menni

https://doi.org/10.18280/ria.350305

Page 217-222

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Dense Hierarchical CNN – A Unified Approach for Brain Tumor Segmentation

Roohi Sille, Tanupriya Choudhury, Piyush Chauhan, Durgansh Sharma

https://doi.org/10.18280/ria.350306

Page 223-233

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Usage of Prosody Modification and Acoustic Adaptation for Robust Automatic Speech Recognition (ASR) System

Vivek Bhardwaj, Vinay Kukreja, Amitoj Singh

https://doi.org/10.18280/ria.350307

Page 235-242

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Farm Animals’ Behaviors and Welfare Analysis with IA Algorithms: A Review

Olivier Debauche, Meryem Elmoulat, Saïd Mahmoudi, Jérôme Bindelle, Frédéric Lebeau

https://doi.org/10.18280/ria.350308

Page 243-253

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A Framework for Anomaly Classification Using Deep Transfer Learning Approach

Ruchi Jayaswal, Manish Dixit

https://doi.org/10.18280/ria.350309

Page 255-263

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Test Scheduling and Test Time Reduction for SoC by Using Enhanced Firefly Algorithm

Gokul Chandrasekaran, Gopinath Singaram, Rajkumar Duraisamy, Akash Sanjay Ghodake, Parthiban Kunnathur Ganesan

https://doi.org/10.18280/ria.350310

Page 265-271

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