Forthcoming and Online First Articles

International Journal of Creative Computing

International Journal of Creative Computing (IJCrC)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Creative Computing (3 papers in press)

Regular Issues

  • Empirical Review on Handwritten Devanagari Script Recognition Techniques using AI Approaches   Order a copy of this article
    by Swati Jaiswal, Kartik Chaudhari, Suraj Tade, Shrushti Khirwadkar, Atharva Pande 
    Abstract: digitisation of handwritten documents plays a crucial role in facilitating access, editing, and long-term preservation of data. The Devanagari script, serving as a pillar for various Indian language scripts, presents a unique challenge due to the lack of official digitising tools. This study focuses on the comprehensive analysis of methods employed for recognising offline, handwritten Hindi characters, with the ultimate objective of developing a system that can accurately convert full phrases into digital form. While existing research predominantly concentrates on character-level recognition, this work covers all the key steps involved in word recognition, ranging from database processing to character identification and integration of recognised words into coherent sentences. By addressing each facet of Hindi character recognition, this study contributes to the advancement of digitisation techniques for the Devanagari script, enabling efficient access and manipulation of handwritten Hindi documents.
    Keywords: Devanagari script; handwriting recognition; digitisation; character recognition; languages.

  • IP Audit & Blockchain Technology-Legal Nuances   Order a copy of this article
    by Zubair Ahmed Khan, Harmeet Singh 
    Abstract: It is always expected from corporate entities to grow with more diligence in protecting the nuances of its intellectual property (IP). It becomes important especially because of rise of IP awareness and its necessity for expedient registration of IPs. In the contemporary phase of technological development and innovation, the corporate entities are putting more reliance to increase their intangible assets. Such protected intangible assets further boost the goodwill of corporate entities and put the entities into a commanding competitive position in any given marketplace. A thorough IP audit is usually accepted as systematic review of a corporate entity where the existing business risks and opportunities can be adequately assessed. The maintenance of IP is considered to primary rationale as to why efficient IP audit is necessary. It is also important to note the fact that every corporate entity needs to give special emphasis on its IP management and IP valuation for expansion of business and sustainable profit in any given tough competitive era. It is true that there are other concerns associated IP like its costly affairs for an entity which might increase its pecuniary risk as well.
    Keywords: IP audit; blockchain; corporate governance; transparency.
    DOI: 10.1504/IJCRC.2023.10060410
     
  • Detection of Skin Issues in Face Using Deep Learning: an Empirical approach for 21st Century Healthcare 5.0   Order a copy of this article
    by Rohit Rastogi, Mohd Shahjahan, Piyush Yadav 
    Abstract: Facial skin problems can have a profound impact on an individual’s self-esteem and mental well-being, sometimes leading to depression. Early detection and treatment of these conditions are crucial for effective intervention. The aim is to accurately classify facial skin diseases, including acne, actinic keratosis, basal cell carcinoma, eczema, and rosacea. The objectives of the presented research work is that the proposed system offers a potential pre-diagnostic tool, enabling individuals to assess their facial conditions before consulting a dermatologist. Also to offer a seamless solution to check skin diseases on the face, to empower individuals with effortless convenience, one can revolutionise facial health monitoring, putting control at their fingertips. The key idea is to help in regular monitoring of skin health also severe skin conditions can be diagnosed in early stages. The authors have presented an interesting research topic which analyses different well-known algorithms to detect different categories of skin disease at early stage. The paper presents the accuracy of CNN, Deep CNN and random forest models with accuracy up to 56.21%, which is low. The paper is expected to propose a new model with higher accuracy on test data compared to other existing techniques.
    Keywords: skin disease classification; facial skin conditions; convolutional neural networks; CNN; random forest; image analysis; feature extraction; diagnosis; treatment planning.
    DOI: 10.1504/IJCRC.2023.10060540