STM Journals Peer-reviewed research from Consortium e-Learning Network

4 publications

  • Published Subscription Review Article

    Performance and Stability in Cross-platform Application Development

    By Lekha Achuth, Naresh J.

    Abstract: In the field of construction and contracting, effective communication between contractors and clients is crucial to the successful implementation of projects. This mobile-based application serves as a critical medium to build an open, friendly, and transparent environment between the two stakeholders involved. The application offers contractors a deep search-and-select platform where they can offer quality service and communicate comprehensively with clients well before the final contracts are closed. The platform …

    Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 3, 2024 · pp. 28–34 Read article

  • Published Subscription Original Research

    Smart Water Harvester

    By Namratha Km, Lekha Achuth

    Abstract: Smart water harvester is a wiser use of Data Science in the optimization of rainwater harvesting, taking into account the forecast of precipitation and ideal catchment areas, and basically image processing using machine learning. In that respect, the system, via predictive algorithms like Random Forests, predicts the amount of rainfall by taking into consideration historical and real-time data, while Digital Elevation Models (DEM) and visualization methodologies of images make geographical …

    Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article

  • Published Subscription Review Article

    Searchable Encryption Based on Key Aggregation

    By Nesha Kavya Urs, Lekha Achuth

    Abstract: The ability to selectively distribute data with individuals in public cloud services may alleviate safety concerns about inadvertent privacy violations in cloud storage. The need for flexibility in sharing specific sets of documents with various user groups requires the use of distinct encryption keys for each document. This undertaking tackles practical difficulties by presenting the notion of Key-Aggregate Searchable Encryption (KASE). Natural language processing was used to extract essential phrases …

    Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 21–25 Read article

  • Published Subscription Review Article

    ASL Mobile Translator with CNN Algorithm

    By Sasikumar M., Lekha Achuth

    Abstract: There are around 63 million people in India with speech and hearing disabilities, and the number goes all the way up to 300 million across the world. All of them face issues in their day-to-day life as they can only have conversations with gestures. American Sign Language (ASL) mobile translator with convolutional neural network (CNN) algorithm is an easy-to-use mobile application, which uses complex images and video recognizing models built …

    Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 31–38 Read article

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