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229 articles for “augmented”
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The Augmented Role of DIF on Diagnosis of Glomerular Disease in a Study in Northern Part of Bangladesh
Abstract: Introduction: Direct immunofluorescence (DIF) study is an important investigation tool for the accurate diagnosis of glomerulonephritis (GN). This study was aimed to evaluate the pattern of glomerular diseases in the northern part of Bangladesh and to see the advanced role of DIF over light microscopic (LM) findings for accurate diagnosis of various glomerular diseases. Methods: This cross-sectional analytical study was carried out in the department of nephrology of Rangpur medical …
Published in Research and Reviews : A Journal of Immunology · Vol. 8, Issue 3, 2018 · pp. 32–36 Read article
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Design of a Navigation App with AR And VR Features
Abstract: Augmented Reality (AR) is an interactive experience of a real-world environment which is the integration of digital information with the user’s environment in real-time. Unlike virtual reality (VR), which generates a completely artificial environment, AR utilizes the current environment and additionally overlays fresh data. The ultimate objective here is to design a navigation app which uses the features of AR and VR in an effective manner to the travelers. Most …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 2, 2019 · pp. 1–5 Read article
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Primary Progressive Aphasia: Comparing Two Case Studies
Abstract: The present study was carried out with the aim of profiling symptoms of two clients with primary progressive aphasia (PPA). The first client was a 77-year-old female while the second client was a 69-year-old female. Both the clients experienced atrophy in different regions of the brain. The onset of the problem was more sudden in the second client as compared to the first client. The first client experienced more speech …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 3, 2018 · pp. 21–23 Read article
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A Review Of Deep Learning Applications For Speech Processing Improvement
Abstract: Improve the quality of the spoken word is a common goal for many audio and speech signal processing applications. A noisy voice signal's quality and understandability may be improved via speech augmentation. Speech augmentation is critical in a wide range of fields, including hearing aids, ASR, and mobile communication. DNN-based architectures for speech recognition and augmentation have shown to be quite effective in recent years, according to a new study. …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 14–19 Read article
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Evolving Face of Quality in The World Robotics Process Automation (RPA)
Abstract: Robotics Process Automation (RPA) is a technology that automates repetitive and rule-based tasks using software robots or "bots." These bots mimic human interactions with digital systems and perform tasks like data entry, validation, report generation, and system integration. RPA leverages AI and ML to improve operational efficiency and can be applied across industries and functions. Implementing RPA offers benefits such as error reduction, productivity enhancement, and cost savings. RPA is …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
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The Rise of AI in E-Commerce: Transforming Shopping Experiences
Abstract: The field of e-commerce is transforming due to the integration of artificial intelligence, offering businesses fresh possibilities to enhance customer experiences, streamline operations, and foster expansion. This article explores the transformative impact of artificial intelligence (AI) on various aspects of e-commerce, including personalized shopping experiences, intelligent chatbots and virtual assistants, predictive analytics for inventory management, dynamic pricing strategies, visual search and image recognition, fraud detection, and security measures, augmented reality …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 22–26 Read article
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Investigation on Dry Sliding Wear Behaviour of AlSi7Mg0.3/B4C/ZrO2 Hybrid Composites using Taguchi Method
Abstract: Hybrid Aluminium/Boron carbide/Zirconium oxide (AlSi7Mg0.3/B4C/ZrO2) composites were fabricated utilizing stir casting technique by varying boron carbide content (4wt.%, 8wt.% and 12wt.%) and utilizing a fixed amount (4wt.%) of zirconium oxide particles. Optical microscopy revealed that B4C and ZrO2 particulates were dispersed uniformly in AlSi7Mg0.3 matrix. Dry sliding wear experiments were carried out utilizing the pin-on-disc tribometer with various levels of applied loads, sliding speeds and weight percentage of boron carbide …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 166–177 Read article
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Innovative Eyewear for the Visually Impaired
Abstract: Object detection systems are essential tools for identifying and locating objects within images or videos. When integrated into spectacles or wearable devices, these systems provide users with real-time information about objects present in their surroundings. This functionality serves diverse purposes, such as assisting visually impaired individuals in navigating their environment or offering augmented reality data to workers during tasks. Region-based Convolutional Neural Networks (RCNN) represent a prominent machine learning model …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Leafguard: Smart Plant Health Detection
Abstract: Machine learning techniques, including traditional (shallow) ML, deep learning (DL), and augmented learning (AL), are being increasingly utilized for leaf disease classification. These methods involve feature extraction, data augmentation, and transfer learning to enhance model effectiveness and reduce the need for labeled data. The success of machine learning approaches in this domain hinges on the quality and quantity of data available. LeafGuard is a cutting-edge device with intelligent sensing systems …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 32–39 Read article
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Automated Math Solver Assist with LLM RAG
Abstract: The challenges of solving complex mathematical problems often hinder efficiency in various scientific and engineering domains. This project proposes an innovative solution to these challenges by integrating automated math solvers with large language model (LLM) retrieval-augmented generation (RAG). The proposed system aims to streamline mathematical problem-solving processes, offering a robust and precise tool for real-time recognition, classification, and solution generation. This work provides a novel method of automating the solution …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 25–30 Read article
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Brain Tumor Detection by Aggregating Deep Learning and GAN Models for Faster MRI image Synthesis
Abstract: Brain tumors comprise a global health challenge that, in order to be treated and organized, need early and accurate diagnosis. Usually conducted through medical imaging, brain tumor detection techniques have problems of accuracy, efficiency, and confidentiality. Issues of limited datasets, strict privacy laws that provide restrictions on data sharing, and the necessity for specialized expertise on medical image analysis relegates modern methodologies to vulgar charades. For patient prognosis, treatment planning, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 45–53 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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5G and up to 6G
Abstract: The 5th generation of mobile networks is called 5G, and the next generation, 6G is expected to arrive soon. With the promise of faster speeds, less latency, and increased connectivity, 5G technology has revolutionized mobile communications. However, the 6G vision is already taking shape as the need for high-performance networks keeps increasing. By offering ultra-high-speed communication, smooth artificial intelligence (AI) integration, extensive Internet of Things (IoT) connectivity, and support for …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 01–06 Read article
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AI-Assisted Design and Theoretical Aerodynamic Evaluation of a Multistage Conical Diffuser Micro Wind Turbine Fabricated from Polymeric Composites
Abstract: The rising demand for compact, lightweight, and high-efficiency renewable energy systems has accelerated the development of micro wind turbines capable of delivering stable performance under low wind conditions. Traditional bare-rotor micro turbines suffer from limited aerodynamic efficiency, motivating the adoption of diffuser-augmented architectures and advanced polymer-based composite materials. This study presents the AI-assisted conceptual design and theoretical aerodynamic evaluation of a multistage conical diffuser micro wind turbine fabricated using a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1111–1118 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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A Taguchi approach for determination of parametric dependence in absorber tube of parabolic trough solar collector with roughened surfaces
Abstract: The Taguchi experimental design approach is used in this study to offer the ideal design parameters for the absorber tube with roughened surfaces. In order to determine parametric dependence, passive heat transfer augmentation strategies have been used in the parabolic trough receiver in this article by applying the Taguchi approach. So, for better understanding, two case studies are analyzed using two augmentation technique i.e., wire coil and twisted tape inserts. …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 40–47 Read article
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Application of Bone Regeneration (BR) in Clinical Orthodontics: The Current Status
Abstract: There is irrefutable inter-relationship between orthodontics and periodontal conditions that calls for interdisciplinary approach in comprehensive management of patients with periodontal diseases who seek for orthodontic treatment. Alveolar ridge augmentation is among the periodontal treatment procedures undertaken to facilitate achievement of orthodontic treatment goals. English articles published between January 1990 and September 2015 regarding the practical applications of bone regeneration (BR) in clinical orthodontics and the possible associated complications were …
Published in Research and Reviews: A Journal of Dentistry · Vol. 7, Issue 1, 2016 · pp. 21–31 Read article
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An Insight to Hyponatremia in Cirrhosis: Pathophysiology and Management Approaches
Abstract: Cirrhosis is considered by systemic and splanchnic vasodilation that principals to extreme nonosmotic excretion of vasopressin. Hyponatremia is a mutual electrolyte irregularity in progressive liver disease that outcomes from the diminished capability of the kidney to excrete solute-free water that principals to “dilutional” hyponatremia water retention uneven to the retaining of sodium. Hyponatremia is mutual in cirrhosis. It frequently happens in a progressive phase of the disease and is related …
Published in Research and Reviews : A Journal of Immunology · Vol. 10, Issue 3, 2020 · pp. 30–46 Read article
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Effects of Smoking on Respiratory System
Abstract: Smoking is whispered to exacerbate respiratory diseases by harming respiratory defense mechanisms. Specifically, smoking damages mucociliary function, which impairs clearance of inhaled substances even in smokers who have no respiratory symptoms promotes bacterial adherence to airway epithelial cells. The devastating health impact of cigarette smoking is well known, Cigarette and its components produce structural changes in the respiratory tract include peri-bronchiolar inflammation and fibrosis, augmented mucosal permeability, destruction of the …
Published in Research and Reviews: A Journal of Toxicology · Vol. 3, Issue 3, 2013 · pp. 5–8 Read article