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802 articles for “categorization”
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A Customer Opinion Categorization Framework for Indigenous Items of Jaintia and Khasi Hills
Abstract: An online shopping web-portal can be the best way to promote the indigenous and traditional handmade items of different districts of Meghalaya state. Using this kind of website, different buyers and sellers can utilize the facilities provided by such platforms for selling and buying their products online. In this work, we have not put much more emphasis on the implementation details or developing part of the whole website, but here …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 1, 2019 · pp. 7–15 Read article
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Data Extraction Using NLP for Unstructured Text Categorization
Abstract: Abstract In this research project, I tried to crawl the web and files to create a dataset so that it can be fetched to FRL (Fuzzy rough set-based semi-supervised learning algorithm). The approach used in the project is with the help of semi-supervised learning that made use of unlabeled data for training typically a small amount of labeled data with a large amount of unlabeled data. We de ne and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 3, 2017 · pp. 30–39 Read article
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A Comparative Study on Nutritional Assessment and the Health of Toddlers (1–3 year) in Urban and Rural community of Ludhiana, Punjab, India.
Abstract: Toddlerhood is difficult exiting interesting period of life. Developmental milestones are a set of functional skills or age-specific tasks that most children can do at a certain age range. The study sample was 500 toddlers aged 1–3 year was selected, 250 from urban and 250 from almost equal number of male and female toddlers. A modified conceptual frame work of the study was based on the Callista Roy Adaptation Model. …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 2, 2018 · pp. 6–15 Read article
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Effect of Glycemic Control on Sputum Conversion at the End of Intensive Phase of Category I DOTS Therapy among Patients with Pulmonary Tuberculosis
Abstract: India is an endemic country of tuberculosis and diabetic capital of the world. A patient with diabetes has more chance of occurrence tuberculosis. Many studies pointed out the merging epidemic of diabetes and tuberculosis. Rifampicin and Isoniazid are the most prominent drugs in anti-TB treatment. These drugs disrupt the metabolism of many anti-hypoglycemic agents and lower the plasma levels, leading to hypogycemia. In non-diabetics, it impairs the release and action …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 1, 2020 · pp. 13–17 Read article
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Categorization of Indian Classical Music Using MB-BE Distributions
Abstract: Abstract: Information is usually made up of repetitive arrangements of basic patterns. The presence of such sequences contributes to the unique style/behaviour the information congregation represents. Various such congregations like music, language, biological signals exhibit this kind of repetitive patterns of symbolic sequences. The problem of categorizing such information collection is that the usual methods used are mostly nonquantifiable. In this study, its has been quantify that such abstractness using …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 3, 2019 · pp. 9–15 Read article
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Machine Learning Cluster Analysis for Large Categorical Data Using R Programming
Abstract: AbstractThis review paper clearly discusses the compression between various types of cluster analysis of large categorical data sets. Although there is large gap between the choice of cluster analysis for large data in research design. Its primary purpose is to explain the simplest way of clustering analysis whose data structure were wide scattered using R software whose outputs were sufficiently explain with various intermediate output and graphical interpretation to reach …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 23–34 Read article
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Citizen Opinion Mining Initiatives in Government Decision Making by Categorizing Citizen Sentiments
Abstract: AbstractCitizen opinion mining (C.O.M.) is a type of natural language processing (NLP) for finding the sentiments of citizen on various targeted government policies. Opinion mining techniques can be used for measuring influence facts like citizen behavior, desire, needs that help to improve government services. It includes building a system to gather and examine opinions for specific policy, made in weblog posts, comments, stories or tweets. Proposed approach gives brief description …
Published in Current Trends in Information Technology · Vol. 7, Issue 2, 2017 · pp. 1–10 Read article
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Significant Role of the Handloom Industry for the Marginal Category: A Case Study on Purba Medinipore
Abstract: AbstractWith the advancement of science and technology, the idea of small-scale industry has changed greatly. More emphasis has been given on agriculture as well as small-scale industry. Handloom is such type of industry, which begins with cultivation of cotton plant and ultimately ends up with spinning and making of cotton cloths. The handloom industry runs throughout the year. It has an additional advantage of providing employment to agriculturists even during …
Published in E-Commerce for Future & Trends · Vol. 3, Issue 3, 2016 · pp. 22–24 Read article
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Analysis of Numerical and Categorical Prediction Algorithms : A Case Study of Hypertension
Abstract: An extremely wide variety and volume of data are generated by the healthcare industries which can be effectively utilized by applying data mining techniques so as to attain significant knowledge that can aid the process of decision making. In this paper an analysis of Prediction Algorithms is performed using clinical data of hypertension patients. Data mining techniques are effectively employed to estimate systolic and diastolic blood pressure of patients and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 5, Issue 1, 2018 · pp. 5–9 Read article
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Identification and Categorization of Brain Tumors
Abstract: Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Strategic and well-thought-out treatment planning significantly contributes to improving a patient's overall quality of life. Many different imaging techniques, such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and also ultrasound are used to evaluate tumors in different parts of the body, with a focus on using MRI images for brain tumors. It is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 32–37 Read article
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A Novel Categorization System for Pressure Ulcers Reframed in the Context of Bioinformatics
Abstract: Pressure sores are a serious complication of multi morbidity and lack of mobility. Pressure injuries are commonly encountered in geriatric patients. Certain well-recognized risk factors, such as immobility and incontinence, may predispose to the development of pressure injury (PI); consequently, risk factor modification is an important aspect of prevention and treatment. One of the fundamental documentation details when describing a wound is the use of the appropriate staging system. Each …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 2, 2024 · pp. 1–5 Read article
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Cardiovascular Illness Detection and Categorization with Innovative Neural Networks
Abstract: Health-related problems are increasingly prevalent in modern-day societies and are significantly shaped by a multitude of factors encountered in everyday life. Among these, cardiovascular diseases have emerged as one of the primary causes of death on a global scale, posing serious challenges to public health systems. In response to this growing concern, the present study proposes a machine learning-based framework that is not only highly effective but also reliable and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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Preparation, Categorization and Anticancer Study of Novel Bicyclic Compounds from Various Types for (Five and Six)- Membered Ring
Abstract: The characteristics of ring systems change in the presence of functional groups, but in some cases, elements that are considered functional groups can be classified within the same ring. Compounds that contain only carbon and hydrogen are called homogeneous rings, while those that contain other elements are called heterogeneous rings. The atom substituted in place of the carbon atom is referred to as a heteroatom. Generally, the heterocyclic atom is …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 3, 2025 · pp. 18–30 Read article
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A Comprehensive Analysis of Novel Liposomes: Categorization, Approach, Description, and Present Formulations
Abstract: Liposomes have gained attention as a promising drug delivery system, which come with the advantages of biocompatibility, ability to load hydrophilic and hydrophobic drugs, and they can function for targeted drug delivery. In this regard, this paper offers a comprehensive overview on novel liposomes, including classification, formulation strategies, detailed structures, and current pharmaceutical applications. Recent advances in liposomal drug delivery systems includes, new liposomal architectures (i.e. stealth, targeted, stimuli-responsive, hybrid …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 15–20 Read article
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Impact of Salinity Ingression Prevention Structures (Bandharas) on Different Landuse Categories in Abdasa Taluka of Kachchh Region, Gujarat-India
Abstract: Kachchh has a coastline of 406 km that faces various problems due to the salinity ingression and some developmental initiatives like ports, industries, etc. To check salinity ingression in the adjacent land of coastal areas, Government of Gujarat has taken some corrective measures in which construction of bandharas is one such attempt to prevent ingress of salinity along the coastal belt of Kachchh. For this activity, the government has invested …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 2, 2013 · pp. 49–61 Read article
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Clustering Categorical Data Using Node Importance Method
Abstract: Normal 0 false false false EN-US X-NONE X-NONE Data clustering is an important technique in data analysis. It can be defined as a given set of data objects, the problem of clustering is to partition data objects into groups in such a way that objects in same group are similar and objects in different groups are dissimilar according to the predefined similarity measurement [Han Jiawei and Kamber Micheline. Data mining: …
Published in Current Trends in Information Technology · Vol. 1, Issue 2 - 3, 2011 Read article
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Exploring the Utilization of Information Resources Across Diverse User Categories: A Systematic Reviews
Abstract: To obtain relevant information proficiently, users must thoroughly understand the available resources to get them quickly. Meanwhile, librarians must conduct periodic assessments of users’ complete perception of the resources to provide users with valuable and pertinent information resources. Therefore, this study aims to evaluate the current level of user awareness and utilization of information resources using a systematic review approach. The study provides a comprehensive and unbiased summary of existing …
Published in Journal of Advancements in Library Sciences · Vol. 10, Issue 3, 2023 · pp. 21–32 Read article
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Labor Productivity in Construction Worksite: Impacting Factors and Measures for Improvement
Abstract: The study aims to identify the influencing factors affecting labor productivity, measure its impact level and ranking of these factors using Relative Important Index. Also, certain measures are suggested for enhancing labor productivity at worksite. Five categories and twenty-eight factors affecting labor productivity were identified through literature survey. Questionnaire survey was also conducted to assess the factors influencing labor productivity at worksite and the same was evaluated through five point …
Published in Journal of Industrial Safety Engineering · Vol. 8, Issue 1, 2021 · pp. 1–9 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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Cognitive Shifting Abilities in Younger and Older Individuals
Abstract: Cognitive flexibility refers to the ability to switch rapidly between different responses set. It is further sub divided into set shifting and cognitive shifting. While set shifting is considered to be automatic, cognitive shifting is considered to be conscious and strategic. Cognitive shifting can be assessed through a variety of linguistic and non-linguistic tasks. The non-linguistic tasks include stroop task, non-zero task etc. The alternating fluency task is a linguistic …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 7, Issue 3, 2017 · pp. 12–16 Read article