International Journal of Soft Computing and Intelligent Systems (IJASCIS) is a peer reviewed open access scientific journal. It covers the original, scientific, theoretical and applied research in the field of Soft Computing. The journal is published two times a year and reviewed by the Editorial Board which takes into account the standards and novelty of the research, while strictly following ethical guidelines.
The journal particularly welcomes authors, readers, and scientists from international community, encourages global/local research. In submitting the manuscripts, author(s) must assurance that they have not submitted elsewhere simultaneously. All contributions appear only in the English language.
Articles in IJASCIS are open access published under the Creative Commons (CC) Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). This license permits use, distribution and reproduction in any medium, provided the original work and source is properly cited. The journal publishes articles under Science Transactions, India.
Article Publication Charges
The International Journal of Advances in Soft Computing
and Intelligent Systems (IJASCIS) is an open-access initiative conducted by the Science Transactions, India. We publish only high-quality research contributions in the form of results or reviews. All published manuscripts will be freely available to the authors, readers, scientists, academicians, industrialists, and worldwide scientific and user community without any publication or subscription charges.
This journal does not ask for article publishing processing (APC) or submission fees.
Publishing timeline/speed:
-
15 days submission to first editorial decision for all manuscripts (average)
- 4 to 6 weeks from submission to first decision after peer review
- 1-2 weeks from acceptance to publication
Current Issue
2024 [Vol 03 Issue 2]
Journal Article Open Access
DEEP LEARNING TECHNIQUES USING REMOTE SENSING DATA FOR ENHANCED DISASTER MANAGEMENT: A REVIEW
By Preeti Sharma* and Nikunj Domadiya
Abstract
Multimodal remote sensing data plays a crucial role in disaster management by providing comprehensive infor-mation for effective response and recovery...
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Year:
2024
Citation:
Preeti Sharma* and Nikunj Domadiya. (2024). DEEP LEARNING TECHNIQUES USING REMOTE SENSING DATA FOR ENHANCED DISASTER MANAGEMENT: A REVIEW . International Journal of Advances in Soft Computing and Intelligent Systems (IJASCIS), 3(2), 315-325. https://doi.org/
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Journal Article Open Access
PERFORMANCE EVALUATION OF SDN CONTROLLERS: ANALYSING THE TCP TRAFFIC MANAGEMENT IN POX, RYU, AND ODL
By Shanu Bhardwaj*, Shailender Kumar, Ashish Girdhar
Abstract
Software-defined networking (SDN) is a revolutionary networking paradigm that separates the data and the control plane. The controller is one of SDN&a...
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Year:
2024
Citation:
Shanu Bhardwaj*, Shailender Kumar, Ashish Girdhar. (2024). PERFORMANCE EVALUATION OF SDN CONTROLLERS: ANALYSING THE TCP TRAFFIC MANAGEMENT IN POX, RYU, AND ODL. International Journal of Advances in Soft Computing and Intelligent Systems (IJASCIS), 3(2), 303-314. https://doi.org/
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Total Downloads 1
Journal Article Open Access
ANIMAL DETECTION USING SSD MODEL WITH RASPBERRY PI FOR VEHICLES
By Rakesh Kumar Mandal*, Payel Saha, Rahul Bir , Dipankar Kumar Roy
Abstract
Animal detection is an emerging field of interest now a days. Movement of animals are detected for many purposes. Sometimes animals are detected for s...
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Year:
2024
Citation:
Rakesh Kumar Mandal*, Payel Saha, Rahul Bir , Dipankar Kumar Roy. (2024). ANIMAL DETECTION USING SSD MODEL WITH RASPBERRY PI FOR VEHICLES. International Journal of Advances in Soft Computing and Intelligent Systems (IJASCIS), 3(2), 292-302. https://doi.org/
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Total Downloads 3
Journal Article Open Access
SECURE INTRUSION DETECTION SYSTEM FOR INTERNET OF MEDICAL THINGS USING RANDOM FOREST CLASSIFIER AND ELLIPTIC CURVE CRYPTOGRAPHY
By Arnav Deshmukh*, Satyam Kendre Dhanashri Wategaonkar , Shlok Sarda, Zaki Shaikh
Abstract
The research that was carried out by us aims to improve IoMT (Internet of Medical Things) security by adding a Random Forest Classifier-based IDS (Int...
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Year:
2024
Citation:
Arnav Deshmukh*, Satyam Kendre Dhanashri Wategaonkar , Shlok Sarda, Zaki Shaikh. (2024). SECURE INTRUSION DETECTION SYSTEM FOR INTERNET OF MEDICAL THINGS USING RANDOM FOREST CLASSIFIER AND ELLIPTIC CURVE CRYPTOGRAPHY . International Journal of Advances in Soft Computing and Intelligent Systems (IJASCIS), 3(2), 276-291. https://doi.org/
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Journal Article Open Access
Testing Techniques for Internet of Things Applications
By Naresh E, B P Pradeep Kumar, Murthy S V N
Abstract
The Internet of things goals towards conversion of numerous features of public’s day-to-day survives by spreading the possibility of figuring to the...
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Year:
2024
Citation:
Naresh E, B P Pradeep Kumar, Murthy S V N. (2024). Testing Techniques for Internet of Things Applications. International Journal of Advances in Soft Computing and Intelligent Systems (IJASCIS), 3(2), 263-275. https://doi.org/
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Total Downloads 13
Journal Article Open Access
A HYBRID APPROACH FOR CRICKET HIGHLIGHT GENERATION BASED ON PLAYER-SPECIFIC ANALYSIS
By Tariq Shah, Rabia Maham, Naeem Ahmed, Muhammad Saeed
Abstract
Highlight generation involves extracting the most engaging clips from a sports video. In the context of video summarization, the entire video is conde...
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Year:
2024
Citation:
Tariq Shah, Rabia Maham, Naeem Ahmed, Muhammad Saeed. (2024). A HYBRID APPROACH FOR CRICKET HIGHLIGHT GENERATION BASED ON PLAYER-SPECIFIC ANALYSIS. International Journal of Advances in Soft Computing and Intelligent Systems (IJASCIS), 3(2), 251-262. https://doi.org/
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Total Downloads 7
Journal Article Open Access
SEMANTIC WEB TECHNOLOGY FOR DEPLOYMENT OF WORKFLOW WITHIN ASPOCMS SERVICES
By Anand Kumar
Abstract
An Agent-based Semantic Web for Paperless Office Content Management System (aSPOCMS) [5] has designed to provide the paperless environment of offices ...
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Year:
2024
Citation:
Anand Kumar. (2024). SEMANTIC WEB TECHNOLOGY FOR DEPLOYMENT OF WORKFLOW WITHIN ASPOCMS SERVICES. International Journal of Advances in Soft Computing and Intelligent Systems (IJASCIS), 3(2), 241-250. https://doi.org/
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Total Downloads 17
Journal Article Open Access
OPINION MINING IN RESOURCE-POOR LANGUAGES: TECHNIQUES AND CHALLENGES
By Nidhi N. Solanki, Dipti B. Shah
Abstract
Human emotions automatically arise from the experience of gratification, sorrow, failure, or success. They are a reflection of behavior and cerebral t...
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Year:
2024
Citation:
Nidhi N. Solanki, Dipti B. Shah. (2024). OPINION MINING IN RESOURCE-POOR LANGUAGES: TECHNIQUES AND CHALLENGES. International Journal of Advances in Soft Computing and Intelligent Systems (IJASCIS), 3(2), 230-240. https://doi.org/
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Total Downloads 9
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