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817 articles for “Classify”
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Bibliometric Analysis of Physical Therapy Journal During 2011–2015
Abstract: This is a research study on the Physical Therapy Journal of the American Physical Therapy Association from the year of 2011 to 2015. The study reveals that PTJ maximum research works on the medical science field were collaborative. The Physical Therapy Journal of American Physiotherapy Association has endowed with various categories of research papers i.e. LEAP, Case Study, Technical Report, etc. to the research scholars, professionals, educationalists, etc. Here, researcher …
Published in Journal of Advancements in Library Sciences · Vol. 4, Issue 3, 2017 · pp. 109–113 Read article
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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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Detection of Breast Cancer with Python
Abstract: Global cancer data confirms more than 2 million women diagnosed with breast cancer each year reflecting majority of new cancer cases and related deaths, making it significant public health concern. But fortunately, it is also the curable cancer in its early stage. Early diagnosis of breast cancer with timely and effective treatment services improves the prognosis and survival of patients. During classifying tumors, there are significant chances of error and …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 3, 2020 · pp. 5–22 Read article
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An Anthology of Parametric ROC Models
Abstract: In the context of classification problems, ROC curve has gained its importance in classified fields. The so called parametric form of ROC curve, namely, Binormal ROC model was developed by assuming normal distributions. However, the practical situations in classifying individuals/objects demanded new forms of ROC models. The present paper brings out an insight into the theoretical development of different parametric forms of ROC models and its measures.
Published in Research & Reviews : Journal of Statistics · Vol. 5, Issue 2, 2016 · pp. 32–46 Read article
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Veterinary Hospital Waste Management Through Biomass Pyrolysis: A Review
Abstract: Today, biomedical waste management has become a burning problem. Continuous increase in its volumes and related risks to human health and the environment is alarming. In response to these challenges, this comprehensive review highlights the potential of utilizing pyrolysis to generate energy from solid and semisolid fractions of medical waste. Pyrolysis is a method of breaking down substances through heat in an environment devoid of oxygen. Pyrolysis transforms organic matter …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 12, Issue 3, 2023 · pp. 30–34 Read article
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Liquid Crystals as Novel Drug Carrier: A Review
Abstract: Liquid crystal is a thermodynamic stable phase characterized by anisotropic properties, generally lying in the temperature range between the solid and isotropic liquid phase, hence are termed mesophase. Based on the way that liquid crystals are obtained, they can be classified into two types—thermotropic liquid crystals and lyotropic liquid crystals. The thermotropic liquid crystal is generated by variation of temperature in the liquid state, while the lyotropic liquid crystal is …
Published in Trends in Drug Delivery · Vol. 2, Issue 1, 2015 · pp. 1–9 Read article
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Polypharmacy and the need of deprescribing in Geriatric Chronic Kidney Disease patients
Abstract: Polypharmacy and Hyper polypharmacy pose risk for geriatric population by increasing drug interactions and side effects. This calls for deprescription to remove potentially inappropriate medications (PIM) from their prescription. BEERs criteria (BC) was used to classify medications for PIM. It also includes addition of a new drug, dose reduction and replacement with a newer drug. This study was conducted to find out the need of deprescription in geriatric population suffering …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 9, Issue 1, 2022 · pp. 1–4 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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An Approach towards in Management of Chronic Kidney Disease
Abstract: The current international guidelines define and classify the chronic kidney disease (CKD) as decreased kidney function shown by decreased glomerular filtration rate (GFR). Glomerular filtration rate of 60 ml/min/1.73 m 2 for at least 3 months is a marker for kidney damage. The underlying causes for chronic kidney disease are proteinuria and hypertension. It is the main cause of CKD in many high-, middle- and low-income countries. In different countries, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 1, 2025 · pp. 9–15 Read article
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 4, 2023 · pp. 1–7 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 4, 2023 · pp. 34–43 Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 11, Issue 4, 2023 Read article
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Analysis of critical constraint factors affecting the performance of Transportation projects
Abstract: Infrastructure is a country's biggest source of economic growth, which is made up of a variety of facilities and processes. It includes all the amenities and services required for urbanization, economic expansion, improved quality of life, and thriving companies. Transportation is one of the most important industries for any nation's economy, but constraints exist in all working environments. A construction constraint is a condition that makes it difficult to achieve …
Published in International Journal of Urban Design and Development · Vol. 1, Issue 1, 2023 · pp. 54–78 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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A Descriptive Study to Assess the Awareness on First Aid of Fracture Among Selected Rural Public of Mysuru
Abstract: First aid refers to the prompt care given to a person who has been suddenly ill or injured until expert help is available or until the individual has recovered. Providing initial care to an individual with a minor injury is classified as first aid, wherein the application of first aid techniques suffices for treating minor burns, wounds, and insect stings. One ailment that requires emergency care is fracture, which will …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 1–5 Read article
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Study of Finite State Machines as Language Recognizer
Abstract: Finite State Machines (FSMs) play a fundamental role in computer science and linguistics as language recognizers. This study presents an exploration of the principles and applications of FSMs as efficient tools for recognizing formal languages. The study delves into the theoretical foundations of FSMs and their practical implementation in various language recognition tasks. The fundamental ideas of FSMs, including as states, transitions, and input symbols, are introduced in this study. …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 18–24 Read article
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Assessing the Performance of DL Methods in Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a computer vision task that involves the automatic identification and classification of hand-written digits. The objective is to develop models capable of accurately recognizing and distinguishing digits handwritten by humans. With the development of machine learning and deep learning techniques, this field has advanced remarkably. The convolutional neural network (CNN) is the most often used technique for this purpose. By utilizing CNN, the model can learn …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 25–32 Read article
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A Novel Approach to Fingerprint Authentication Using Histogram Oriented Gradients for Feature Extraction and Machine Learning Convolution Neural Network for Classification
Abstract: With applied biometrics, it is possible to identify a person by examining a feature vector of attributes derived from their physical and behaviour characteristics. In biometrics, fingerprints have become one of the most famous and well known techniques of identification and authentication. In light of technological advancements and safety, fingerprint recognition has been successfully used in a variety of Civil, Defence, and Commercial applications for more than a decade. The …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 1–12 Read article
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Deep Guard: A Comprehensive Deep Learning System for Unmasking Suspicious Activities in Surveillance Footage
Abstract: These days, video surveillance is quite vital. Technology has evolved considerably as machine learning, artificial intelligence, and deep learning become increasingly widespread. There are several algorithms that assist in identifying distinct kinds of suspicious behaviour from live footage by combining the techniques. A person's behaviour is the most unpredictable thing, and it can be quite challenging to determine whether it is normal or suspicious. Video surveillance is automated to address …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 23–28 Read article
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A Case Study on Ayurvedic Management of Psoriasis.
Abstract: Psoriasis is non-contagious, chronic autoimmune disease which causes inflammation and hyper-proliferation of the skin. It is characterized by erythematous plaques that are clearly defined and associated with severe itching and silvery scaling, especially on extensor surfaces, scalp and nails. At times, it may manifest as localized or generalised pustular eruption which usually follows relapses and remissions pattern. Psoriasis may lead to other autoimmune diseases like psoriatic arthritis. In Ayurveda, Variety …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2024 · pp. 18–22 Read article