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244 articles for “normality test”
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Predicting Parkinson’s Disease: Python Machine Learning
Abstract: Parkinson's disease is a progressive neurological disease that affects a large number of people and has a significant impact on their quality of life. Human motor function is mostly affected by this condition. "Parkinsonism" or "Parkinsonian" syndrome refers to the primary motor symptoms. Parkinson's disease causes tremors, rigidity, slowness of movement, and trouble walking, as well as changes in thinking and behaviour. Anxiety and despair are frequent as well. It …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 38–41 Read article
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Money Laundering Transaction with Machine Learning
Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article
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Effects of Carbon Fiber on Strength of Concrete
Abstract: Experimental investigations were carried out to evaluate the effect of carbon fibers on strength of concrete. The concrete mix of M-25 grade was considered and produced by replacing carbon fibers with cement. Modified concrete is produced by adding carbon fibers with various percentages as 0 to 0.6% at an interval of 0.2% with 10 and 20 mm in length. The compressive and flexural strengths are considered for investigations. Cube of …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 3, Issue 3, 2016 · pp. 1–8 Read article
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Development of Nanoparticles as Additive to Drilling Mud to be Used as Viscosity and Filtrate Loss Modifier
Abstract: Conventional drilling fluids are often unable to fulfill certain functional tasks that are very important in challenging environment. This inefficiency of drilling fluid in performing certain task is mainly because of lack in particular rheological or filtrate loss properties. Hence, the industry is looking for a new kind of additives which can be helpful in maintaining these properties in desired range even under extreme conditions. Rice husk is an abundantly …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 7, Issue 1, 2016 · pp. 22–30 Read article
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Singing and Speaking Voice Characteristics of Trans MtF
Abstract: Compared to other developed countries, in India, the transgender community are often overlooked as a non-existent community. These individuals are considered cursed, punished and therefore are forced to remain completely uninvolved in important matters of the society. Among all of the existing problems already faced by this community, misidentification of their gender based on the voice is a matter of concern. Among this group, most of them are engaged in …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 6, Issue 3, 2019 · pp. 1–4 Read article
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Screening of Phytochemicals and Antibacterial Potential of Dicranopteris linearis (Burm.f.) Underw.
Abstract: The present study deals with screening of phytochemical and antibacterial potential of terrestrial fern Dicranopteris linearis (Burm.f.) Underw. collected from Marthandam region of Kanyakumari district of Tamil Nadu, India. The fresh plant material was collected and shade dried for a week and powdered. The powdered material was subjected to gradient extraction with Soxhlet apparatus with two different solvents (acetone and chloroform) and screened for its phytochemical and antibacterial potential. Phytochemical …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 10, Issue 3, 2020 · pp. 1–5 Read article
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Nutritional Assessment of Rural Farmers in Ahmadabad District of Gujarat State—Implication for Health and Well-being
Abstract: Nutrition is an important factorcontributing to health and functional ability. Malnutrition is more common in geriatric population but it is underestimated.Nutritional status is an important component of nutritional care and state of health of any individual. This study examined the nutritional status of rural farmers of Ahmadabad district in Gujarat State using dietary assessment method and body mass index (BMI). The major objectives of the study were to determine the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 57s–63s Read article
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Determination of The Mean Fetal Biometrics and The Mean of Ratio of biometrics in 2nd and 3rd Trimester of Pregnancy in Correlation with Fetal Gestational Age: As a Predictive Biometric Parameters
Abstract: Introduction: Fetal cerebellar diameter in normal gestation is also highly correlated with fetal growth indices. Objective: To determine to mean fetal biometric ratios in 2nd and 3rd trimester of pregnancy on ultrasound as a predictive biometric parameter of gestational age. Study Design: Cross-sectional study. Material and Methods: A total of 140 pregnant women in their second and third trimester were included in this study. BPD, AC, FL and TCD were …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 3, 2018 · pp. 12–16 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Study of Leucocyte Count, Serum Bilirubin and C-Reactive Protein Values in Preoperative Diagnosis of Acute Appendicitis
Abstract: Acute appendicitis is one of the most common surgical emergencies all over the world. In appendicular perforation, morbidity and mortality increases significantly. A prompt diagnosis and early surgery can only be done if clinical findings are supported by laboratory tests. To estimate preoperative serum leukocyte count, total bilirubin and C-reactive protein levels in patients with clinical diagnosis of acute appendicitis and compare them with histopathological diagnosis postoperatively. Cross sectional study …
Published in Research and Reviews : Journal of Surgery · Vol. 4, Issue 1, 2015 · pp. 20–26 Read article
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Evaluation of Acute Toxicity Study of Some Indian Medicinal Plants against Anti-ulcer
Abstract: The acute toxicity study was carried out as per organization for economic co-operation and development guidelines 420. In acute toxicity study, the oral dose 150 mg/kg of body weight of animal of tested plant extract was administered to three groups in single dose groups in single dose and general behaviour, adverse effects were determined, the tested plant extract was administered orally for 14 days to three groups contained three animals …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 5, Issue 3, 2016 · pp. 22–29 Read article
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Comparison of Performance of Haar Wavelet Transform on 3D-2D Multi-Sensor Face Images Using Simulation Model
Abstract: Human face has its own unique characteristics that are always considered to be the valid biometric feature for automation of security systems. A dedicated system doesn’t only require accurate algorithm but also it is required to be executed with a minimum span of time. In this literature, authors have stated and demonstrated a wavelet based feature space design mechanism from human faces and also analyzed the performance of execution for …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 1, 2015 · pp. 11–27 Read article
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Development and Evaluation of Neural Network Model for Incident Detection on Urban Arterials using Simulated Database
Abstract: Incident detection in urban arterial situation is more difficult than the similar job in freeway situation because of the presence of traffic signals and other intersections with associated recurrent queue. Most of the earlier automatic incident detection algorithms address mainly freeway situation. This study aims at development, calibration, validation and testing of an ANN model for incident detection in Kuala Lumpur (KL) arterials using simulated incident database. Database for the …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 1–14 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Ethanolic Root Extract of Jatropha curcas L. Relieves Muscle Pain in Rats
Abstract: The roots of Jatropha curcas are used traditionally to treat pain. The present study evaluated the analgesic property of ethanolic extract of Jatropha curcas (JAT) in acute and chronic muscle pain models. Acute muscle hyperalgesia was induced by injecting 3% carrageenan into the gastrocnemius muscles of rats. Twelve hours after the injection, baseline muscle hyperalgesia was measured and the rats were then treated orally with 30, 100 and 300 mg/kg/day …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 4, Issue 2, 2014 · pp. 5–10 Read article
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Performance test to determine electric vehicle driving range
Abstract: A new method to estimate the driving range in electric vehicles has been developed. The new method is based on full electric energy supply from a unique lithium-ion battery that equips the electric vehicle. The simulation method includes engine consumption as well as auxiliary systems and accessories that are currently powered by a servicing lead-acid battery. The modeling uses an AC/DC double electric circuit to represent the AC electric engine …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 2, 2021 · pp. 10–20 Read article
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Bending and Single Edge Notch Bending Test (SENB) Investigation of Natural Fiber- Reinforced Epoxy Composites using Machine Learning
Abstract: The present study aims to determine the behavior of hemp fiber-reinforced epoxy composites in terms of bending behavior and fracture toughness under bending load resembles the substitutive behavior of existing synthetic composites. The fabrication was carried out by hand lay-up assembly of hemp fiber with Lapox-12 epoxy resin volume fraction of 60:40 fiber: matrix volume. Flexural testing revealed an average strength of 93.5 ± 2.8 MPa and SENB testing revealed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 59–69 Read article
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Intercomparison of Rainfall Estimates of Probability Distributions for Developing the Intensity-Duration-Frequency Curves
Abstract: Determination of short duration rainfall through the developed Intensity-Duration-Frequency (IDF) curve is of utmost importance for planning, design, operation and management of civil and hydraulic structures. For which, extreme value analysis (EVA) of rainfall that consists of fitting probability distributions such as Normal, Log Normal (LN2), Pearson Type-3, Log Pearson Type-3, Extreme Value Type-1 (EV1) and Generalized Extreme Value (GEV) to the annual 1-day maximum rainfall series is carried out. …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 3, 2022 · pp. 39–53 Read article
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Quantitative Structure Activity Relationship Studies of Some New 4-Thiazolidinone Derivatives as Antimicrobial Agents
Abstract: In the present study, quantitative structure activity relationship (QSAR) studies have beenperformed on series of 24 compounds of 4-thiazolidinone derivatives with antimicrobialactivity using Chemoffice version 8.0 software. The QSAR models have been developed byusing multiple linear regressions in order to identify descriptors, which are actually focusingtowards the biological activity. Leave one out (LOO) method was employed in crossvalidation analysis to validate the developed model. The best predictive QSAR model derived,had …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 8, Issue 2, 2017 · pp. 1–3 Read article
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Comparison of the Compressive Strength of Concrete Made with Palm Kernel Shell and Gravel as Coarse Aggregates
Abstract: The investigation of alternative materials for the construction, comparison of the compressive strength of concrete made with palm kernel shell as coarse aggregate and concrete made with gravel. A mix proportion of 1:2:4 with water cement ratio of 0.6, ordinary Portland cement, PKS, gravel and sand were used for this research. 24 cubes were cast and tested for compressive strength at 7, A14, 21 and 28 days. The result showed …
Published in Journal of Construction Engineering, Technology & Management · Vol. 12, Issue 1, 2022 · pp. 12–18 Read article