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464 articles for “model transformation”
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Enhancing the User Experience of Asthma Inhalers: A Redesign Approach
Abstract: Asthma is a widespread chronic respiratory condition impacting millions globally, presenting significant challenges in its management and treatment. While conventional inhalers effectively administer medication, they often encounter usability issues, hindering patient adherence and treatment outcomes. This abstract delineates the development and potential impact of a redesigned asthma inhaler aimed at addressing these challenges. Incorporating human-centered design principles, the revamped inhaler prioritizes usability, portability, and effectiveness to enhance the overall management …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 32–36 Read article
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3D Printing in the 21st Century: A Critical Review of Advances and Impacts Across Sectors
Abstract: 3D printing, or additive manufacturing, has become a pivotal technology in the 21st century, reshaping a variety of industries. This review critically examines the technological advancements that have driven the widespread adoption of 3D printing, including innovations in printing materials, precision, and speed. In sectors like healthcare, aerospace, automotive, and consumer goods, 3D printing has revolutionized product development, enabling rapid prototyping, customizations, and more efficient manufacturing processes. In healthcare, for …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 18–24 Read article
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WEBPAGE EXTRACTION AND RETRIEVAL CHATBOT
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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STRUCTURAL–EPIGENOMIC ATLAS: CNV/SV- DRIVEN PROGNOSTIC REFINEMENT ACROSS CANCERS
Abstract: Structural genomic alterations, including copy number variations (CNVs) and structural variants (SVs), play a central role in cancer initiation and progression. These alterations extend beyond gene dosage effects and interact dynamically with epigenomic mechanisms such as DNA methylation, histone modifications, and three-dimensional chromatin organization. Recent pan-cancer studies have demonstrated that CNV burden and SV signatures reflect key oncogenic processes including chromothripsis, homologous recombination deficiency, enhancer hijacking, and extrachromosomal DNA (ecDNA) …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Health Assessment of Oil Immersed Transformer Using Fuzzy Logic
Abstract: A transformer is an electrical device that transfers energy between two or more circuits through electromagnetic induction. Commonly, transformers are used to increase or decrease the voltages of alternating current in electric power applications. Mineral oil treats heart of the transformer, its functions are to insulate, suppress corona and arcing, and to serve as a coolant. The oil helps cool the transformer. Because it also provides part of the electrical …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 6–16 Read article
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System Level Modeling of ISMB Quadrature Transceiver
Abstract: In this paper, a new ISMB quadrature transceiver system-level design architecture is presented along with its referenced mathematical models and these were verified using state-of-the-art system modeling tools. Unlike a K-TEK’s receiver, it does not suffer from the timing and template matching problems, and it circumvents processing at high frequencies, thereby reducing the on-chip circuit complexity and power consumption. Hilbert transform has been used at the output of the demodulator …
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 108–117 Read article
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Study and Analysis of Developments in ChatGPT and Impact on Humanity
Abstract: This research paper examines the ChatGPT model of Artificial Intelligence, including its architecture, training process, applications, issues, and future advancements. ChatGPT employs a transformer-based design and undergoes pre-training and fine-tuning procedures. Its applications are conversational AI, translation, content generation, and research. In the real world, you can find it helping in online shops, banks, hospitals, and customer service. We also want to make sure it treats everyone fairly, stays safe, …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 2, 2023 · pp. 18–25 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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Design of an Integrated Health Monitoring System on an IoT-Based Framework
Abstract: With the advent of industrialization, health ailments have become a major cause of concern owing to an inactive and fast lifestyle, polluted environments, and detrimental eating habits. However, IoT has become a boon for the health sector and humanity on account of its countless benefits, rendering improved quality of service and patient-centric care. An Integrated Health Monitoring System (IHMS) is presented in this paper. This new IoT-based framework integrates wearable …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Brief Review on Novel Technology in Breast Cancer Chemotherapy
Abstract: Breast cancer is cancer that develops from breast tissue. Breast cells contain receptors for the two types of hormones estrogen and progesterone. They also contain receptors for a protein called HER2, which induce normal cell growth. Around two out of three women with breast cancer have cells that bear receptors for estrogen and progesterone, and just about 20–30% of breast cancers have too many HER2 receptors. Exploitation chemotherapy to treat …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 2, 2018 · pp. 22–26 Read article
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Open AI Chat GPT in Educational System: Evaluating the Efficacy of AI driven Learning
Abstract: This research delves into the effects of implementing OpenAI ChatGPT into educational systems and how it affects the results of student learning. The cutting-edge natural language processing model known as OpenAI ChatGPT has the ability to provide adaptive and individualized learning experiences, which might completely transform conventional teaching approaches. The purpose of this research is to determine if ChatGPT is more effective than more conventional approaches in enhancing students' interest, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Eco-Friendly Innovations: A Review of 3D Printing with Biodegradable Filaments.
Abstract: This comprehensive review paper delves into the evolving landscape of sustainable additive manufacturing, focusing on the utilization of biodegradable filaments in 3D printing technology. As industries increasingly prioritize sustainability, the adoption of eco-friendly practices like biodegradable materials becomes imperative. The study explores the composition and properties of biodegradable filaments, highlighting their transformation from traditional plastic fibres and the environmental benefits they offer. With a particular emphasis on fused deposition modeling …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 86–102 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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A Technical Survey on Nanotechnology in Nanorobots
Abstract: Nanotechnology, the manipulation of matter at the atomic and molecular scale, has given rise to a revolutionary frontier: nanorobots – microscopic machines capable of interacting with biological systems and environments with unprecedented precision. This study explores the design, functionality, and application of nanorobots in medicine, environmental remediation, and materials science. By integrating principles from materials engineering, biotechnology, and robotics, nanorobots are engineered to perform tasks such as targeted drug delivery, …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 1, 2026 · pp. 14–21 Read article
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A Survey on Hydrogen Storage System using Composite Material and its Alloys
Abstract: The transition to a carbon-neutral energy landscape hinges on the ability to store hydrogen safely, densely, and reversibly. While high-pressure tanks and cryogenic vessels dominate today’s infrastructure, solid-state storage in metallic alloys offers a compelling alternative by combining high gravimetric capacity with intrinsic safety to form a composite material. This work presents a systematic investigation of a family of reversible hydrogen-absorbing composite material alloys—principally Mg-based intermetallics (Mg₂Ni, MgFeMn) and TiV-based …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 · pp. 35–42 Read article
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Healthcare Monitoring System using IoT and RSA Algorithm
Abstract: There is a growing interest in developing solutions for the elderly living assistance in a world with an accelerated population aging. The Internet of Things is a new reality that transforms our everyday life completely and aims to revolutionize traditional healthcare by creating a more personalized, proactive, and collaborative model of treatment. In order to incorporate these two important topics, this work provides an IoT-ready system for elderly living care …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 19–24 Read article
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Next-Generation Biorepositories: Accelerating Infectious Disease Research and Vaccine Innovation
Abstract: Next-generation biorepositories have emerged as critical infrastructure for advancing infectious disease research and accelerating vaccine development. By integrating cellular, genomic, and clinical data within harmonized frameworks, these repositories overcome traditional limitations of fragmented datasets and limited interoperability. The evolution from conventional biobanks to digitally enabled, multi-omics platforms has enabled comprehensive analysis of pathogen–host interactions, facilitating the identification of novel vaccine targets and correlates of protection. The COVID-19 pandemic underscored the …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article