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146 articles for “Visually challenged”
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NeuroSight: AI-Powered Vision Enhancement for the Visually Impaired
Abstract: Visual impairment has long been a significant challenge, affecting a person’s ability to move independently, understand their surroundings, and perform everyday activities safely. Although considerable progress has been made in the development of assistive technologies, many existing solutions still face practical limitations. These include inconsistent performance in real-world environments, high power consumption, dependence on external computing resources, and limited ability to adapt to dynamic and rapidly changing surroundings. To address …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 25–33 Read article
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CampusX: Empowering College Selection with 3D insights using machine Learning approach.
Abstract: CampusX redefines college selection with dynamic 3D insights, empowering students to navigate campuses virtually. Utilizing cutting-edge machine learning and visualization techniques, it transforms static data into interactive experiences. Personalized comparisons enable informed decision-making, while predictive analytics forecast future campus developments. With a user-centric interface and robust privacy protocols, CampusX ensures seamless exploration and data security. This innovative platform bridges the gap between prospective students and their ideal educational environments, revolutionizing …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 23–29 Read article
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Veterinary Science Information: Sources and Usage
Abstract: This study looks at the sources of veterinary science knowledge and how practitioners use them. It is divided into three sections: a background discussion based on a selective literature review, a report of a survey of veterinary surgeons' information usage, and an overview of internet resources linked to this issue. Information sources and information management may be viewed as key components of veterinary professionals' ongoing professional development. Veterinary information supply …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 11, Issue 1, 2022 · pp. 12–14 Read article
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Prevalence of Associated Problems among the Mentally Challenged Children in Bangalore
Abstract: Background: Mentally challenged children experience a lot of associated disturbances along with problems of mental retardation. The primary aim of the present study was to identify the associated problems that occur along with the mental retardation among the mentally challenged children in Bangalore, Karnataka, India. Method: Descriptive research design was adopted for the present study. Complete enumeration sampling method was used to select 134 caregivers of mentally challenged children studying …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 3, 2018 · pp. 19–23 Read article
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Social Media Blog Analysis using Watson Analytics
Abstract: AbstractAnalytics is defined as the discovery, interpretation, and communication of meaningful patterns in data. A blog is a discussion or informational website published on the world wide web consisting of discrete, often informal diary-style text entries and may contain unstructured or semi-structured data. The analysis of unstructured data types is current challenge, getting attention in industry. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization and information privacy. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 3, 2016 · pp. 15–21 Read article
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A Review of Computational Methods for Image Restoration and Noise Reduction Using Reference Images
Abstract: Digital imaging systems play a vital role in numerous application domains, including consumer photography, biomedical imaging, remote sensing, aerial surveillance, and astronomical observation. Despite continuous advancements in imaging hardware and software, the visual data acquired by these systems often suffer from degradation caused by spatially non-uniform blur. This blur may arise due to several factors, such as lens imperfections, atmospheric turbulence, sensor limitations, motion between the camera and the scene, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 23–30 Read article
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Virtual Reality in Civil Engineering: A Comprehensive Review of Applications, Challenges, and Future Trends
Abstract: Virtual reality (VR) technology has gained significant attention in civil engineering, offering immersive and interactive environments that enhance visualization, safety training, and project management. This review paper comprehensively examines the current applications of VR in civil engineering, focusing on construction safety training, design visualization, and stakeholder collaboration. VR’s ability to simulate hazardous scenarios allows for effective safety awareness and risk mitigation without real-world exposure. Additionally, the integration of VR with …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 20–24 Read article
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Real-Time Analysis of E-Waste Monitoring Using Data Visualization in Power BI
Abstract: The exponential growth of electronic waste (e-waste) in India poses significant environmental and public health challenges, necessitating robust monitoring, management, and disposal strategies. This project, Real-time analysis of e-waste generated across different countries in the world and also survey report of India, seeks to provide a comprehensive assessment of e-waste production patterns, utilizing real-time data to capture dynamic shifts in waste generation and collection. By leveraging Power BI for advanced …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 1–7 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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A Survey on Hateful Memes Detection Techniques
Abstract: With the advent of social media, meme, which is a combination of image along with some text are becoming a popular mode of communication for spreading jokes or sarcasm which may also include some toxicity like racial, sexist and many other types of hateful content. Identifying hate in text is a comparable easy task as it is a unimodal task; however, identifying hate in memes is a multimodal task and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 44–52 Read article
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ADVANCEMENTS AND CHALLENGES OF MODERN BREEDING OVER CONVENTIONAL BREEDING
Abstract: Plant breeding dates back thousands of years, when people first deliberately bred plants based on visually pleasing characteristics. The domestication of wild plants aided this process, resulting in the evolution of numerous breeding strategies over time. Conventional breeding, which is distinguished by selective breeding based on superior performance, used procedures such as pure-line selections, mass selection, backcross breeding, recurrent selection, and hybridization. While effective, classical breeding procedures were time-consuming and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–5 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Personalized Medicine: the impact of ferrofluids, clinical procedures, strategies, applications,challenges, current trends, and reseach opportunities.
Abstract: Personalized medicine has shown progressive development and evolution in health care systems. It is considered as transformative emerging medicine encorporating advanced technologies including genomics, AI as thinking partner, and nanotechnology in a greater extent. The quest for painless injection, lesstoxicity, rapid cell separation, and gene sequencing make ferrofluid the focus of personalized medicine. Currently, magnetic nanoparicles and ferrofluides are becoming driving force of personalized medicine. However, contronlling and managing nanoscale …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 · pp. 51–58 Read article
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Jowar Millet Crop Monitoring and Analysis Robot (JMAR): A Smart Solution for Plant and Soil Health in Jowar Millet Farming
Abstract: Farmers cultivating jowar millet (Sorghum) face significant challenges in maintaining crop health and optimizing yield due to the limitations of traditional plant disease detection and soil health assessment methods. Visual inspection and indigenous knowledge are labour-intensive, time-consuming, and often inaccurate, while soil monitoring requires specialized equipment that is not always affordable or accessible. These issues hinder timely intervention and can lead to crop losses and soil degradation. To address these …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 Read article
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Analysis of Bioinformatics Software Applied in Computer-Aided Drug Design
Abstract: The integration of bioinformatic tools with computational methods has revolutionized the field of Computer-aided Drug Design (CADD), enabling researchers to expedite the discovery and optimization of new therapeutics. This review provides an in-depth analysis of the bioinformatic tools utilized in CADD, encompassing molecular docking, molecular dynamics simulation, virtual screening, homology modelling, and molecular visualization. We go over the tenets, approaches, and uses of these instruments, emphasizing their value in expediting …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Depiction-inspired Recipe Generator Using Deep Learning
Abstract: Machine learning has become a crucial part of modern life, influencing various domains. Its applications range from enhancing data-driven business decisions to enabling autonomous vehicles. Advances in machine learning have brought about notable changes in how we interact with technology. In the culinary world, the idea of creating food recipes from images has gained increasing interest. This entails the development of innovative systems that seamlessly convert visual input, such as …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 47–55 Read article
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Impact of Air Pollution on Global Environment
Abstract: AbstractAir pollution is a worldwide environmental issue and generates different types of health problem, especially in major developing countries. Firstly, we affect the environment and then environment effect to us (in short-term smog and long-term global warming, climate change…). A recent World Health Organization report shows 3 million deaths in the world every year due to ambient air pollution and China and India are the countries with the most severe …
Published in Research & Reviews : Journal of Ecology · Vol. 7, Issue 1, 2018 · pp. 23–32 Read article
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Digital Twins in Human Anatomy and Physiology Education: Current Status and Future Perspectives
Abstract: Digital Twin (DT) technology has emerged as a promising innovation in healthcare by creating dynamic virtual representations of physical systems through the integration of artificial intelligence (AI), computational modeling, real-time data, and advanced visualization technologies. Although DTs have been widely investigated in precision medicine and clinical decision-making, their application in Human Anatomy and Physiology (HAP) education remains in its early stages. This review aims to examine the current status, educational …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article