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1949 articles for “class” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Flood Inundation Mapping for using Sentinel-1 SAR Data for Assam during 2018
Abstract: This paper is focusing on the flood inundation mapping of Hailakandi, Assam flood during 2018 using Sentinel 1 Single Look Complex (SLC) and Ground Range Detected (GRD) data. For the analysis of water pixels, pre and post event images of SLC and GRD data were downloaded with similar specification such as same date, pat and row. Supervised classification is performed with the pre and post event of the study area …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 16–25 Read article
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Phytochemical and Pharmacological Importance of Turmeric (Curcuma longa): A Review
Abstract: Curcuma longa L. is a member of the ginger family (Zingiberaceae) and used widely by the traditional medical practitioners for the treatment of various ailments. Due to high curcumin content Indian turmeric is very popular as compared to other countries. Rhizomes derived from Curcuma longa is commonly known as Haldi or Turmeric. Rhizomes are horizontal underground stems that send out shoot as well as roots. Turmeric constitutes of fat-soluble, polyphenolic …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 9, Issue 1, 2019 · pp. 16–23 Read article
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Description & Prevention of Omicron
Abstract: November 9, 2021, Botswana becomes the first country to recognise it (Nov 11 2021). The new variant (B.1.529) has been represented in 77 countries. Omicron presents 32 changes in spike protein Scribd, restricting the point of interaction with the ACE2 receptor protein. Computational shows and components’ recreation has been applied to investigate the collaboration between the SARS-CoV-2 RBD and the ACE2 receptor. The receptor-binding domain (RBD), which more barely joins …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 8, Issue 4, 2023 · pp. 5–16 Read article
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Antifungal Susceptibility Pattern of Candida Species Isolates from Dehradun City Hospitals
Abstract: The present investigation on the topic entitled “Antifungal susceptibility analysis of Candida species isolates from Dehradun City hospital.” was accomplished in the Doon University Microbiology laboratory (P.G.) and Hospital, Dehradun, Uttarakhand, during the period of February 2021 to July 2021. A total of 42 clinical samples were collected from patients, suspected of candidiasis from Dehradun city hospitals. Clinical samples were collected from oral cavity, blood, vaginal fluid and urine of …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 1, 2024 · pp. 12–29 Read article
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Machine Learning Based Early Cataract Detection: A Predictive Modeling Approach
Abstract: Cataracts, characterized by dense cloudy areas in the eye’s lens, afflict more than 50% of elderly individuals, leading to impaired vision and potential blindness. Detecting cataracts at an early stage is crucial to facilitate simpler treatments, as neglecting the condition may necessitate complex eye surgery. To address this issue, we are creating a predictive system that identifies cataract disease by analyzing user-provided eye features. To achieve this, we leverage OpenCV, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Exploring the Applications and Advancements of Copper and Copper Alloys in Modern Manufacturing Processes
Abstract: For industrial uses, copper represents one of the greatest technical materials offered. This review paper discusses on the history of copper and copper alloys, salient features of wrought and cast copper alloys, physical and chemical characteristics of copper alloys, classification of copper alloys, design for manufacturing of copper alloys, mechanical properties of cast copper alloys, role of lead in copper alloys and applications of copper alloys in various engineering industries. …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 2, 2023 · pp. 1–9 Read article
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Quantum Computing: A Review
Abstract: The field of quantum computing is rapidly evolving and holds the potential to fundamentally change our approach of tackling complex problems. In this research, the fundamentals of quantum computing and some possible uses for it are examined. Also, a general review of classical computing and its shortcomings in several specific problem-solving scenarios is outlined. Qubits serve as the foundational elements of quantum computing. The different kinds of quantum bits, or …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 30–42 Read article
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A Machine Learning Based Artificial Intelligence Model for Detecting Heart Illness
Abstract: This study centers around the improvement of an artificial intelligence- and computerized reasoning-based heart sickness determination framework. We exhibit how AI can help with foreseeing whether an individual will get cardiovascular infection. In this review, a Python-based application for medical care research is created since it is more reliable and helps track and lay out many kinds of well-being observing applications. We show information handling, which incorporates working with all …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 50–58 Read article
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Revolutionizing Agriculture: Botani Scan’s Deep Learning for Plant Disease Diagnosis
Abstract: Crop disease detection is of key importance because of its role in food safety but infrastructural issues still hamper diagnosis in most regions worldwide. Accurate plant disease identification is essential to secure food, predicting yield decline and managing epidemic outbursts. The advent of digital cameras along with the progress of computer vision technology brings to light the mounting demands for the development of automated disease detection methods in precision agriculture, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 Read article
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A Study of Clinical Education Practice of Clinical Instructors Accompanying Nursing Students of Kashmir Division, Deployed for Clinical Posting in SKIMS Soura
Abstract: Introduction: Clinical education also called clinical teaching, is one of the practical based approaches whereby the students are exposed to natural and practical settings. Clinical education refers to the process of educating and training healthcare professionals, such as medical students, nurses, or other allied health professionals, in a real-world clinical setting. This form of teaching is crucial for translating theoretical knowledge into practical skills and fostering the development of clinical …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 2, 2024 · pp. 32–38 Read article
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AI-Based Criminal Identification System A Breakthrough Approach
Abstract: Identifying and locating a perpetrator is a time-consuming and difficult process. The perpetrators are growing more skilled, leaving no biological evidence or fingerprint impressions at the crime scene. Using cutting-edge face recognition technology is a quick and easy solution. Through the use of linear programming, this research presents an innovative approach to classifying all face tracks collectively. In addition to the following, it incorporates: a novel method for extracting more …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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Developing an AI-Based Novel Forecasting Framework for Surface Irregularity in Metal Matrix Materials
Abstract: Surface irregularity in metal matrix materials (MMM) signifies the deviations from smoothness, influencing structural integrity and performance frequently arising from the manufacturing process along with intrinsic material characteristics that influence effectiveness. Limitations in data, model interpretability and complexity are the difficulties that impede artificial intelligence (AI) based surface irregularity in MMM. In this study, we suggested a novel framework of Gaussian regression fused multi-strategy adaptive boosting classifier (GR-MABC) for the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 48–56 Read article
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Retinal Disease Detection Using Deep CNN
Abstract: Age-related macular degeneration, glaucoma, and diabetic retinopathy are the three main causes of blindness in the globe. To avoid visual loss, early identification and treatment of these disorders are essential. The goal of this research is to create an automated method for detecting retinal diseases by analyzing retinal fundus pictures with machine learning techniques. Python and the Tkinter package for the graphical user interface are used in the construction of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 46–50 Read article
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Sustainable Construction: A Case Study of Passive Cooling Using Various Insulation Materials in an Educational Institution
Abstract: This case study is about insulating an education building where steel sheets are used on the rooftop. Steel roof sheets are good conductors of heat and due to which the classrooms below become heated up especially in the summer season from January to May every year. This educational building was constructed in 2014 and the heat build-up is intense and hence the top floor i.e. second floor was mostly unutilised …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 23–31 Read article
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IntelliGaurd WebScan: Uncovering Dark Patterns on E-Commerce Websites
Abstract: Dark patterns are deceptive design elements that influence user behavior online, frequently with unexpected results that go beyond personal experiences. These deceptive methods unintentionally encourage excessive consumption, which can seriously impede sustainability initiatives. This paper presents IntelliGuard WebScan, a system created specially to identify and combat these dishonest strategies. Employing painstaking examinations and assessment of heterogeneous datasets and rigorous experimentation with multiple algorithms, among them a support vector classifier (SVC), …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 24–32 Read article
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Deep-globe Challenge for Road Extraction Using Convolution Neural Network
Abstract: High-resolution lackey pictures contain a riches of information. They're too intense to decipher. For various operations, it's vital to snappily and straightforwardly distinguish streets from fawning pictures. The thought is to create a bracket demonstration to prize street systems from today’s pictures. The technique of the proposed strategy is grounded on the pre-processing of the disciple information to enhance the picture quality, which in turn comes about in superior comes …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Flora-Vision: A Quality Assurance System For The Pharmaceutical Industry
Abstract: In contemporary pharmaceutical production, the persistent challenges of manual labor, human error, and contamination risks pose significant obstacles to efficiency and product quality. Particularly in sectors such as Ayurvedic products, cosmetics, and medicines, the need for innovation is pressing. Revolution in production process can be addressed by introducing innovative solutions and thereby challenges could be overcome. Through the utilization of advanced technology, the proposed system streamlines sample management and quality …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 53–60 Read article
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Design and Development of Novel Floating Drug Delivery Systems
Abstract: Recent advances in science and technology have greatly aided in the creation of novel drug delivery methods, especially in addressing physiological issues including irregular stomach emptying times and brief stomach residence periods. Long-term stomach absorption is the goal of gastro-retentive dosage forms (GRDF). Floating drug delivery systems, expanding or swelling systems, polymer-based bioadhesive systems, high-density systems, and other ways that postpone stomach emptying are just a few of the techniques …
Published in International Journal of Membranes · Vol. 1, Issue 2, 2024 · pp. 1–22 Read article
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article