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1920 articles for “research” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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Comparative Study of Change Detection Methods in High Resolution Images
Abstract: Natural phenomena including weathering, erosion, volcanic eruptions, and plate tectonics, as well as human activities like agriculture, deforestation, and urbanization, cause the Earth's surface to change continuously. In many different applications, such as environmental monitoring, disaster management, urban planning, agriculture and forestry, climate change studies, resource management, and infrastructure monitoring, it may be extremely beneficial to detect and track these changes. There are various algorithms and methods proposed by many …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 1–5 Read article
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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Metabolites in Modern Medicine: Decoding the Future of Health and Diseases
Abstract: The end products of many metabolic processes in cells are called metabolites. Each reaction contributes a specific metabolite. Metabolites act as fingerprints of on-going biological processes. Constant changes in cellular composition due to both environmental and internal factors. By analysing the types and presence of metabolites, scientists can effectively reconstruct the inner workings of a cell or organism. In the past, analysing metabolites was a slow and tedious process, often …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 1–13 Read article
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A Screening Study on Occurrence and Distribution of Urinary Tract Infections Among Suspected Cases (Pyuria, With or Without Symptoms) During Pregnancy
Abstract: Background: Urinary tract infection is one of the most frequently seen medical complications in pregnancy. Methods: Ethical approval was granted for this research. The study employed a time-bound prospective design; total pregnant women (900) were categorized into those suspected of having UTI (pyuria, with or without symptoms) and those not suspected. Asymptomatic bacteriuria is diagnosed through a urine specimen with an appropriate microscopic examination, followed by culture. Results: The occurrence …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 13–20 Read article
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Nerve Damage and Its Remedies
Abstract: Fringe Nerve Wounds are one of the most well-known reasons for hand brokenness brought about by upper appendage injury yet current administration has remained sub-standard. This survey means to make sense of the conventional perspective on pathophysiology of nerve fix and furthermore portray why careful administration is as yet lacking in utilizing the new natural research that has recorded the progressions that happen after the nerve injury, which, could cause …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 7–14 Read article
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AI-Powered Approaches to Environmental Challenges: Trends, Benefits, and Limitations
Abstract: Dynamic and unpredictable characteristics of environmental processes create challenges in their management and regulation. Artificial intelligence (AI) offers a powerful solution for addressing these complexities.AI tools have become more and more popular across a range of fields and research domains due to their efficient development and rapid growth. We analyse key trends in AI applications, including predictive analytics for climate modelling, automated monitoring of biodiversity, and smart resource management. The …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Atomism Theory: Indian & Western Perspective
Abstract: The atomism and atomic theory are differentiated on philosophical and scientific basis, but the thing is to have some similarities. The Kanad’s theory came in 2nd century BC and the scientific atomic theory were proposed after 19th century. The ‘añu’ that was experimented by using microscopes, was already experienced and mentioned in the Vaisheshik sutra by Kanad. Here some important questions may be raised that, Is paramãñu by Vaisheshik and …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 87–95 Read article
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Optimization of Automatic Energy Management System Using Renewable Resources
Abstract: With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Phase Transformation of Manganese Steel: A Role of Alloying Elements
Abstract: Low alloyed steels that are both strong and ductile are the primary focus of new material concept work due to economic considerations. One key to making good use of these materials is applying the right heat and thermo mechanical treatments. Phase transitions can be influenced by using different alloying procedures. Microstructural evolution and mechanical characteristics were investigated in relation to varying manganese, silicon, and chromium levels. Developing high-strength flat rolled …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 15–20 Read article
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Metabolic Reprogramming in Carcinogenesis: An Overview
Abstract: Metabolic reprogramming is a crucial mechanism via which cells modify their metabolic pathways to adjust to changes in the environment and maintain growth, survival, and function. This phenomenon is of utmost importance in a wide range of physiological and pathological situations, specifically in cancer, immunological responses, and stem cell biology. In cancer, metabolic reprogramming facilitates fast cell growth and survival, as demonstrated by the Warburg effect, where cancer cells prioritize …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 32–38 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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An Effective Convolutional Neural Network for Identifying Cancer Blood Disorder Cells Using Microscopic Images
Abstract: Blood, bone marrow, and lymphatic systems are all impacted by hematological cancer is known as a cancer blood disorder. Blood malignancies and various blood disorders pose significant health challenges across all age groups. Early disease detection is essential for effective cancer blood disorder treatment and management. If a blood cancer is not identified in time, it may be hazardous. It results in abnormal white blood cell production by the bone …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 29–35 Read article
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A Study on the Knowledge of Arterial Blood Gas (ABG) Analysis Among Staff Nurses in a Rural Hospital Setting
Abstract: To evaluate the comprehension of Arterial Blood Gas (ABG) analysis among staff nurses in a designated Rural Hospital, this study aimed to assess their knowledge level and correlate it with specific demographic variables. Utilizing a descriptive approach, the study encompassed all staff nurses within the Rural Hospital, with a sample of 50 individuals meeting the inclusion criteria: completion of either a Diploma in Nursing and Midwifery (GNM) or a Degree …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 1–21 Read article
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Development and Implementation of Indoor Location-based Service in Museums Based on Bluetooth Low Energy Standard and Triangulation Algorithm
Abstract: Location-based services (LBS) in indoor locations are for providing information needed by users, and this information can be provided to users based on a Geofence. The most important component of location-based service systems is the Global Positioning System (GPS), which does not have the ability to determine the location in an indoor location. In this research, LBS Android software was developed for museums with the possibility of providing multimedia information …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Advanced Design and Prototyping with Fabrication, Architecture, And Material Design Techniques For 3D Printing Hybrid Polymer Composites
Abstract: Hybrid polymer composites are big steps forward in the field of 3D printing. They combine different materials to improve their engineering qualities, usefulness, and use potential. This essay looks at the advanced design and testing methods needed to use 3D printing to make and create mixed polymer materials. First, we look at material design methods, with a focus on choosing plastics and support materials that help the composite have the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 22–36 Read article
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Assessing the Risk of Working with Chemicals in an Automotive Unit
Abstract: Today's human life is mixed with chemicals that can affect human health independently or independently. Also, many occupational diseases are caused by chemicals. Prevention of occupational diseases caused by exposure to life chemicals It saves people and improves the quality of life of other workers. The purpose of this study is to know the risks caused by chemicals, to evaluate It is the risk of hazards and the proposal of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 3, 2024 · pp. 36–42 Read article
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Nutritional Enhancements in Dairy Products
Abstract: Dairy products play a crucial role in diets globally, providing key nutrients like proteins, fats, vitamins, and minerals. However, with evolving dietary needs and a growing focus on public health, the fortification of dairy products has emerged as a critical strategy to enhance their nutritional profile. This review explores the fortification of dairy products with vitamins, minerals, probiotics, and other health-promoting ingredients, examining the methods, benefits, challenges, and future prospects …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 18–23 Read article