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800 articles for “categorization”
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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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A review on micro hot embossed Fresnel lenses
Abstract: Background: Micro replication techniques like HE allows for the large-scale manufacturing of the micro components which use polymers like Polymethyle methacrylate, Polycarbonate, polystyrene as the work material. In the hot embossing process, key parameters include applied pressure, temperature during heating, duration of embossing, and temperature during demolding. Research Objectives: Developing straightforward and affordable methods to produce the micro featured molds needed for the hot embossing is a significant research goal. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 8, 2024 · pp. 12–28 Read article
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To Rule Out the Efficacy of Haridradi Drugs in Respiratory Allergic Disorders in the Childrens.
Abstract: Allergic diseases in children have increased significantly in recent years and they are a major cause of morbidity in the children. Although there is a genetic predisposition, exposure to allergens i.e pollens, irritants, infections, diets and inhalant will determine the sensitization. At present, the best approach to the children who are at high risk for the development of allergies is to introduce environmental and dietary control and adopt early measures …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 53–60 Read article
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Relationship between Socio-Economic Status and New Word Learning
Abstract: New word learning refers to the process of learning of novel words which are not in the vocabulary of the person and it varies as a function of many potent variables. Socio economic status is one of the major variables believed to have a significant effect on new word learning. The aim of the current study to investigate if new word learning varies as a function of socio-economic status. 74 …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 19–24 Read article
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Formulation and Evaluation of herbal multipurpose cream
Abstract: Multipurpose creams are semi-solid preparations used to lower the risk of skin disorders and fight wrinkles. The primary goal of the research is to produce multipurpose creams utilizing various herbs and then analyze their efficacy. The herbs utilized in the preparations include dried bael leaf powder, amla powder, neem powder and bael leaves. The article emphasizes the importance of topical drug delivery systems in dermatology, highlighting the benefits of delivering …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 2, 2024 · pp. 44–57 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Identification of Brain Stroke Using Artificial Intelligence
Abstract: Globally, strokes are the primary cause of disability and mortality. Recently, machine learning (ML) and deep learning (DL) have been employed by artificial intelligence algorithms as effective stroke diagnosing techniques. These days, machine learning and data mining technologies are used in the construction of the main models. We have used five machine learning algorithms to determine if a stroke has occurred or is likely to occur based on a patient’s …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Angioedema-Diagnosis & Management
Abstract: Angioedema (AE) encompasses a diverse range of conditions categorized into three main groups: (1) angioedema mediated by histamine (AE-H); (2) angioedema mediated by bradykinin (AE-BK); and (3) angioedema with an unknown mechanism (AE-UNK). It can manifest on any part of the body, though commonly affected areas include the face, lips, mouth, throat, larynx, extremities, genital regions, and gastrointestinal tract. AE-H can occur by itself or in conjunction with chronic urticaria, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 2, 2024 · pp. 9–21 Read article
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Enhancing Crop Health: A Review of Image Processing Methods for Leaf Disease Identification
Abstract: This research presents an overview of different image processing techniques for the identification of leaf disease. Many algorithms can be used to identify and categorize leaf diseases in plants, and digital image processing provides a quick, dependable, and accurate method of disease detection. This paper presents various techniques used on multiple crops and the achieved accuracy for each model. Leaf disease detection is a critical task in agriculture to ensure …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 10–14 Read article
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Breast Cancer: Susceptible Genes and Significant Risk Factors
Abstract: Breast cancer is the most common malignancy affecting women globally. In 2012, around 1.67 million new cases were reported worldwide. With the increase in life expectancy in developed countries, the incidence of breast cancer among older adults has risen significantly. In 2017, an estimated 252,710 new cases of invasive breast cancer were recorded, along with 6,341 cases of breast cancer in situ in the USA. About 24% of all breast …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 36–43 Read article
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Optimization of V/F Control in Asynchronous Motors Using Adaptive Bee Colony Optimization
Abstract: : Asynchronous motors play a pivotal role in various industrial applications, utilizing electromagnetic induction to convert electrical energy into mechanical energy. This paper provides an in-depth exploration of their design principles, focusing on the rotor, stator, and coil configurations. Induction motors are categorized into single-phase and three-phase types, each suited to different power supply configurations and operational requirements. The study outlines a comprehensive methodology for modeling and simulating induction motor …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 67–86 Read article
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Visualizing Complexity: Navigating Algorithms with Algorithm Visualizer
Abstract: We think that studying algorithms may be amusing and exciting. Many students are currently struggling, but we hope to change that. Our strategy is to emulate gaming while learning. We're building hands-on learning exercises, such as mazes and patterns, to convey key concept. To help students understand how algorithms function in practice, we also use some stunning visualizations. Three major categories of algorithms are under our purview: sorting, pathfinding, CPU …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 21–26 Read article
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Attitude Control System for Flight: A Comprehensive Review
Abstract: Attitude control systems is an integral part of flight control systems because they are responsible for the stability and maneuverability of different airborne vehicles within all flight regimes. The following paper presents an extensive overview of attitude control systems that are commonly in use in various flight applications and examines their design implementation, and performance on the space. The paper starts with a general overview of the main mechanisms of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 8–14 Read article
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In-depth Evaluation of the CBR Method in Flexible Pavement Design
Abstract: The California Bearing Ratio (CBR) value of the subgrade is a crucial parameter utilized in the design of flexible pavements, as recommended by the Indian Roads Congress (IRC). The choice of materials used in constructing the pavement can significantly influence its overall design and performance. Pavements play an essential role in ensuring traffic flows smoothly, safely, and efficiently. Generally, pavements are categorized into two types: flexible and rigid. Flexible pavements …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Oral Thin Films of Ondanetron Hcl: Formulation and Performance Evaluation
Abstract: This study had the goal to formulate oral polymeric thin film that would dissolve and disintegrate instantly, while also having high mechanical features. These are the most advanced forms of solid dosage forms. Solvent casting was the technique employed to create oral thin films. These are additionally referred to as buccal films/strip, mouth dissolving films, oral thin films, as well as oral strips of paper. These films are suitable for …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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Machine Learning Driven Mobile Price Prediction Using Feature Selection and Parameter Optimization
Abstract: Machine learning calculations are utilized in many fields like money, training, industry, medication, and online business. Machine learning calculations show execution contrasts relying upon the dataset and handling steps. Picking the right calculation, preprocessing and post-handling techniques have incredible significance in accomplishing great outcomes. The Random Forest classifier, K-nearest neighbor classifier, and support vector machine methods are evaluated to forecast mobile phone price categories. The “prediction” dataset which is taken …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 18–25 Read article
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The Evaluation of the Light Parameters and Pleural Fluid Cholesterol to Determine the Differences Between Exudative and Transudative Pleural Discharge
Abstract: Background: Pleural effusion occurs when an imbalance between pleural fluid production and absorption leads to the accumulation of excess fluid in the pleural cavity. Pleural effusions are commonly classified into two types: transudative or exudative, depending on the underlying mechanism of fluid formation. While transudates typically result from systemic factors like heart failure or liver cirrhosis, exudates are usually caused by local factors such as infection, malignancy, or inflammation. Differentiating …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 30–35 Read article
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Fabrication and Flammability Assessment of Hybrid Composite Material Reinforced with Natural Fibers
Abstract: The utilization of natural fibers in composites has surged owing to their sustainable advantages. Natural fibers, categorized by their origin into plant, mineral, and animal fibers, have garnered significant attention. This study focuses on flax and wool fibers as representatives of natural fibers, paired with epoxy as the matrix material. The properties of flax and wool fibers were reviewed and found that wool has good fire retardancy property while flax …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 273–284 Read article
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A Comparative Study Between GSM and CNN to Develop Gesture Detection Based Alert System for Women Safety
Abstract: Women’s safety is a pressing issue in today’s world, and technology can play a crucial role in addressing it. This project introduces a facial expression recognition device that uses Convolution Neural Network (CNN) technology and develop it’s comparison with an expression system with use of GSM is done. Unlike traditional methods relying on manual activation or dedicated devices, this system reacts instantly to threatening situations by recognizing predefined gestures, ensuring …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 24–30 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article