Forthcoming and Online First Articles

International Journal of Artificial Intelligence and Soft Computing

International Journal of Artificial Intelligence and Soft Computing (IJAISC)

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International Journal of Artificial Intelligence and Soft Computing (3 papers in press)

Regular Issues

  • SummaSense: An AI-Powered Web Application for Multilingual Text, Audio, and Video Summarisation   Order a copy of this article
    by Gaurav Singh, Advait Nurani, Hridayesh Padalkar, Dr.Reshma Gulwani 
    Abstract: In the era of information overload, the ability to effectively summarise vast amounts of information has become a necessity. This paper introduces SummaSense, an AI-powered web application that utilises both extractive and abstractive summarisation techniques, including KL, LSA, BART, and Conversation BART, to summarise text, audio, and video content in multiple languages. The systems architecture employs Next.js, TailwindCSS, Flask, Node.js, and MongoDB technology, ensuring scalability, robustness, and high-performance results. The systems utility is demonstrated by presenting numerous use cases and scenarios that benefit various businesses and their users. The paper provides a detailed description of the systems features, architecture, implementation, models used, comparisons, testing, and applications, along with several examples of summaries and titles generated by the web application and a comparison with human-generated summaries. The systems effectiveness is demonstrated by presenting several examples of summaries and titles generated by the web application, along with a comparison to human-generated summaries.
    Keywords: Summarization; Multimedia Summarization; Multilingual Summarization; Artificial Intelligence; Natural Language Processing; Deep Learning; KL-Sum Model; LSA Model; BART Model; T5 Model; BART Model.
    DOI: 10.1504/IJAISC.2024.10068991
     
  • Enhanced Transfer Learning Techniques: a Resilient Multi-Model Framework for Multi-Class MRI Brain Tumour Diagnosis   Order a copy of this article
    by Rashmi Jolhe, Sudhir Sawarkar 
    Abstract: The diagnosis of brain tumours is difficult and primarily dependent on manual MRI evaluations, which can be laborious and prone to mistakes. We suggest a transfer learning strategy that makes use of pre-trained deep neural networks for effective MRI-based tumour classification in order to enhance this procedure. Our strategy handles the complexity of tumour detection and achieves 97.71% accuracy by fine-tuning six models. For radiologists, this model is a useful tool that improves diagnostic confidence and accuracy. Practical application in clinical settings is ensured by validation using real-world hospital data and a Kaggle dataset.
    Keywords: Deep learning; Glioma; Meningioma; Pituitary ; Perfusion MRI.
    DOI: 10.1504/IJAISC.2024.10069150
     
  • Hypernym Discovery for Farsnet Using Hearst Patterns and Word Embedding   Order a copy of this article
    by Rahim Ahmadi Eslamloo, Hossein Shirazi, Maryam Hourali 
    Abstract: With the rapid growth of languages and technological innovations, new terms continuously enrich lexical resources. Dictionaries structure these concepts into synonym sets and link them through semantic relations. Many NLP applications, including translation, semantic analysis, summarisation, content creation, classification, and information retrieval, rely on FarsNet, the Persian WordNet. The lack of new lexical entries negatively impacts these applications. This study utilises multiple sources, including the Hamshahri corpus and a hypernym database, to help FarsNet identify hypernyms and semantic relations. By integrating traditional models with modern word embeddings, hypernyms are extracted from the Hamshahri sports section. This is the first such system applied to Persian. Results show promising accuracy. FarsNet, aligned with Persians agglutinative structure and SOV word order, organises words hierarchically through hypernyms, supporting NLP tasks like translation and summarisation while enhancing Persian language processing.
    Keywords: Semantic Relations; Synonyms; Hyponyms and Hypernyms; FarsNet and WordNet; Word Embedding Vectors.
    DOI: 10.1504/IJAISC.2025.10070257
     

 

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