Forthcoming Articles

International Journal of Computational Biology and Drug Design

International Journal of Computational Biology and Drug Design (IJCBDD)

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 Articles will not be published until the final proofs are validated by their authors.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 Computational Biology and Drug Design (2 papers in press)

Regular Issues

  • Importance of safety maintenance of the survived with recent former infection experience during a pandemic syndrome episode: A Study by Difference Equation Approach   Order a copy of this article
    by Subhasis Bhattacharya, Suman Paul, Sudip Mukherjee 
    Abstract: During the outbreak of a highly infectious disease conceded by a virus, handling of healthcare catastrophe is the most momentous part. Any type of known or unknown relaxation may generate enormous loss in terms of population. Present study consider the concern that survived one who has some fresh former infection history can be fingered with appropriate care throughout the syndrome period otherwise a huge harm can be advent by the state. The study follow difference equation modelling considering two aspects where the survived with former infection history handled with care and not reckoned as a part of sustained population and the other is they encompassed with the general population category. The study considers an example of a hypothetical state with some give infection rate, death rate and quarantine rate. By using R- programme language the study observes that proper care for such group of population is very significant to reduce the situation like human loss.
    Keywords: Infectious disease; SARS-CoV-2; 2019-nCov; Difference Equation; Survived from the infected; Quarantine rate; Death Rate.

  • Sentimental Analysis of Comments using Attention based Deep Neural Network on Emoticon Identification Design   Order a copy of this article
    by Sankari S, S.Silvia Priscila 
    Abstract: This study uses an attention-based deep neural network (A-DNN) to identify emoticons in social network comments. The model uses a user-defined convolutional neural network layer to process emoticons from different groups. The study focuses on sentiment analysis without pre-trained data or word embedding techniques. The model uses histogram properties and deep learning features to extract unique features during training. It minimises the number of natural language processing (NLP) steps and evaluates performance using precision, recall, and accuracy. The study aims to improve communication on social networks. The whole process will be implemented in MATLAB R2021a and tested on synthetically generated comments for analysis, with one Emoji per sentence. The experimental results showed that the proposed method achieved 90% accuracy in sentiment estimation using extracted emojis and an A-DNN. This shows that the proposed method outperforms other sentiment analysis methods by utilising emoticons, analysing comments without prior information, and using A-DNN for sentiment analysis. By minimising the computational complexity of the testing process, it skips a series of NLP steps that other approaches require.
    Keywords: Emoticon classification; Social network; attention-based Deep Neural Network (A-DNN); attention mechanism; Customised layers; Emoticon Identification Design.
    DOI: 10.1504/IJCBDD.2026.10080455
     

 

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