July 2024

A Real Time Performance Comparison of Rice Plant Disease Identification System using Deep CNN Models

Author(s): K Mahadevan*, A Punitha, J Suresh
Volume: 5 Issue: 3 Pages: 249-258
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0159


Abstract The world’s second-largest producer and exporter of rice is India. Early disease detection is crucial to ensuring healthy rice production. In order to address the issue of diagnosing illnesses in rice plants, a number of strategies have been put forth; nevertheless, it has been discovered from the literature that these models do not perform […]

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Robust Remote Sensing Image Classification utilizing Multiverse Optimization Model with Deep Transfer Learning Approach

Author(s): Josephine Anitha A*, Gladis D
Volume: 5 Issue: 3 Pages: 751-759
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0969


Abstract The classifying process of Remote Sensing Image (RSI) has been crucial in diverse applications, involving land cover mapping, environmental monitoring, disaster assessment, and urban planning. Conventionally, image classification in Remote Sensing (RS) relies on Machine Learning (ML) and handcrafted feature extraction approaches. But, lately, Deep Learning (DL) has become an effective and powerful method

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Attack Vectors and Vulnerabilities: Investigating the Methodologies Employed by Attackers to Bypass CAPTCHA Mechanisms, Including Machine Learning-Based Algorithms, Optical Character Recognition (OCR) Techniques, and Adversarial Attacks

Author(s): Dayanand*, Wilson Jeberson, Klinsega Jeberson
Volume: 5 Issue: 3 Pages: 738-750
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0828


Abstract As the prevalence of online services and platforms continues to grow, so too does the threat posed by automated attacks seeking to circumvent security measures such as CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) mechanisms. This research paper delves into the various attack vectors and vulnerabilities inherent in CAPTCHA

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Developing an Intelligent Washing Machine with a Fuzzy Logic Controller

Author(s): Hemalatha K, Venkateswarlu B*
Volume: 5 Issue: 3 Pages: 728-737
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0864


Abstract Nowadays, washing technologies are extensively used in every household. The purpose of this work is to create and develop a fuzzy logic-based system for improving the intelligence of washing machines. In complex control systems, fuzzy logic is more effective when compared to traditional procedures. The fuzzy technique combines machine precision as well as human

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Bloom’s Taxonomy Categories in the Economy of Literature Teaching-Learning Process

Author(s): Kathiravan Ravichandran, Anita Virgin B*
Volume: 5 Issue: 3 Pages: 721-727
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0827


Abstract This article critically examines the scope and implementation of Bloom’s Taxonomy in the assessment and teachinglearning process. Bloom’s revised taxonomy consists of six categories: remember, understand, apply, analyze, evaluate, and create. The objective of this article is to explore the extent to which the application of Bloom’s Taxonomy categories in English literature students helps

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IoT Generated Multi-Modality Data Analysis Using a Deep Learning Framework for Managing Sustainability in Smart Environments

Author(s): Doraswamy B*, Lokesh Krishna K, Hariprasad Tarigonda
Volume: 5 Issue: 3 Pages: 706-720
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0829


Abstract Incorporating the Internet of Things (IoT) systems into Smart environments can reinforce stability and sustainability. IoT-deployed smart environment monitoring devices supports energy monitoring, water consumption, and other resource utilization details. Several earlier research works have focused on energy, water consumption, or other sustainable parameter monitoring that cannot retain and manage sustainability. This paper aims

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Correlation of Total Salivary Protein and Glucose in Children with Dental Caries Yielding Candida Species

Author(s): Saplin Pradhan, Smita R Priyadarshini*, Shakti Rath, Satya Ranjan Misra, Sourav Palai
Volume: 5 Issue: 3 Pages: 699-705
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0795


Abstract Dental caries (DC) is a major oral health concern affecting a large population, primarily children. Children worldwide are affected by dental caries due to food habits or oral hygiene methods. It is seen that in healthy individuals, Candida species occur as normal commensal in the oral cavity. However, it becomes a potential opportunistic pathogen

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A Review on E-learning and Employability Skills

Author(s): Arfia Aman*
Volume: 5 Issue: 3 Pages: 682-698
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0782


Abstract This study presents a systematic literature review to ascertain the extent of exploration of e-learning and employability in extant research. Through a systematic review of literature published between 2008 and 2022, the author analyzed 88 articles published in 67 academic journals. The following were identified: key publishers, publication trend and citation, most contributing research

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Navigating the Nexus of Travel Videos and Travel Purchase Intention: Mediation Role of Psychological Factors

Author(s): Chudamani Sriramneni*, Babu GNPV, Suman Datta Sriramaneni
Volume: 5 Issue: 3 Pages: 670-681
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0967


Abstract By providing captivating geographical impressions and information, online travel videos intend to have a significant impact in shaping consumers travel purchasing choices. Individuals when planning a trip come across a variety of travel-related content when they search for information about different places online. This includes travel videos and AI-generated content that highlights unique aspects

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Enhancing Firm Performance Through Effective Working Capital Management: A Study of Indian Manufacturing Firms Listed at S&P BSE 500

Author(s): Syed Noorul Shajar*, Kashif Beg, Mohammad Kashif, Mohsin Khan, Shahrukh Saleem, Faisal Usmani
Volume: 5 Issue: 3 Pages: 661-669
DOI: https://doi.org/10.47857/irjms.2024.v05i03.0806


Abstract The Covid-19 epidemic had a significant and far-reaching effect on the worldwide economy. The circumstances have led to the degradation of financial markets, significant decreases in household consumption, the transmission of diminished demand to various industries and economies worldwide, and substantial shrink in business sales. Consequently, firms have experienced a substantial decline in their

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