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1986 articles for “failure-prediction AUROC of 0.967” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Study to Assess the Selected Learning Difficulties Among Primary School Students in Selected City
Abstract: Introduction: Learning difficulties (LDs) are challenges that impact the brain's capacity to comprehend, process, assess, or retain information. These issues hinder children's ability to learn at a pace comparable to those unaffected by LDs, and these children do not fit into other disability categories. Materials and method: The research employed a descriptive study design and was carried out at a chosen primary school. The population included learning difficulty students. The …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 17–23 Read article
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Identifying and Blocking of Non-productive Calls in Emergency Call System Using Machine Learning and IVRS Integration
Abstract: The Dial 100 emergency reaction gadget handles over 1,000,000 calls every day, with over 95% being unproductive, such as blank, machine-generated, and spoofed calls. These futile calls waste resources and put off responses to actual emergencies. This look presents a comprehensive solution integrating advanced name evaluation, system learning, and an interactive voice response system (IVRS) to filter out and prevent these calls. Our technique starts with studying incoming calls to …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Host Interface of Cystic Fibrosis and P. aeruginosa
Abstract: A clash between microbial infection and host immunity can contribute to multiple diseases. Cystic fibrosis is one of those diseases. It’s an autoimmune disorder and hyperinflammatory disease, caused by pseudomonas aeruginosa, it’s the most predominant pathogen causing this disease. The progression of the lung infection cystic fibrosis is driven by host pathogen interface that focuses on the host and the bacterial factors. The disease has an interplay between the host, …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 3, 2024 · pp. 9–31 Read article
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Pneumonia Detection and Classification Using Deep Learning
Abstract: Pneumonia, an infectious lung disease primarily caused by bacteria, often exacerbated by environmental factors, leads to the accumulation of pus in the lung’s alveoli. Accurate diagnosis through chest X-rays, ultrasounds, or lung biopsies is crucial to avoid misdiagnosis and ensure proper treatment, crucial for patients’ quality of life. Diagnostic capacities have been greatly improved by deep learning advances, especially with convolutional neural networks (CNNs). This research presents a robust CNN-based …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
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Stress Urinary Incontinence: A Concise Historical Overview
Abstract: Stress Urinary Incontinence (SUI) is a prevalent medical condition, particularly affecting women, and can have multiple underlying causes. It is ubiquitous in individuals who are overweight, experience increased abdominal pressure or have had multiple childbirths (multipara). SUI significantly impacts a person’s quality of life, as it involves the involuntary leakage of urine during moments when physical forces on the bladder are heightened, such as during coughing, sneezing, laughing, or physical …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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A Study to Assess the Effectiveness of Nursing Intervention on Respiratory Parameters Among Patients with Acute Respiratory Distress Syndrome in Selected Hospitals at Erode
Abstract: Background: Acute Respiratory Distress Syndrome (ARDS) is a frequent cause of respiratory failure in critically ill patients, characterized by the sudden development of non-cardiogenic pulmonary edema, low blood oxygen levels, and the requirement for mechanical ventilation. Objectives: To determine the Effectiveness of Nursing intervention on Respiratory Parameters among patients with Acute respiratory distress syndrome Design: Pre – Experimental design, where one group pre-test and post-test test design setting: KMCH Multi …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 3, 2024 · pp. 6–10 Read article
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Assessment of Soil Erosion Impacts at the Panchhari Sub-district of Chittagong Hill Tracts in Bangladesh Using Remote Sensing and GIS Techniques Based on RUSLE Model
Abstract: Soil erosion has been identified as a significant issue around the world. It is often exacerbated due to land deterioration, conversion of agricultural land, and other anthropogenic activities. It negatively impacts soil productivity, water quality deterioration, river and reservoir bed sedimentation, nutrient loss, and sustainability of natural resources. Understanding the controlling factors of soil erosion can help us to identify erosion-prone areas and improve land use management. The novelty of …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 9–30 Read article
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In Silico Analysis and Docking Study of the Active Phytocompounds of Bacopa monnieri Against Alzheimer Disease
Abstract: Objective: Alzheimer’s is a neurodegenerative disease and is the cause of 60–70% of cases of dementia. It infected a million people worldwide. An effort was undertaken to explore the potential of natural compounds found in Bacopa monnieri, a plant renowned for its extensive medicinal properties in Indian Ayurveda, to combat the disease. This was achieved through molecular docking studies, evaluation of drug-likeness, and comprehensive ADME (absorption, distribution, metabolism, and excretion) …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 1–13 Read article
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Exploring the Efficiency of Leading and Lagging Indicators in Algorithmic Trading
Abstract: This paper details a comparison of the overall performance of leading and lagging technical indicators used in algorithmic trading over an extended period. While much of the prior research focuses on index price forecasting and some on statistical arbitrage derived from these predictive techniques, there is a scarcity of studies that assess and evaluate trading strategies. The strategies considered for the study were tested on historical data of the 50 …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 8–18 Read article
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Experimental and Statical Analysis of Glass Fibre Reinforced Concrete
Abstract: During the most recent couple of decades, with the chance of fortifying the solid with fiber support to an incredible preferred position, the solid development field has encountered an expanded consideration. Various strands utilized are steel, manufactured, glass and common filaments, a portion of the planned advantages of filaments in concrete are improved split control and the chance of planning progressively thin structures. Glass fibre is a vital ingredient used …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 266–273 Read article
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A Comprehensive Review of DiagnoTech: Your Healthcare Companion
Abstract: The review paper “A comprehensive review of DiagnoTech: Your Healthcare Companion” brings forth a transformative solution in the advancements of healthcare technology which aims to be an all-in-one Healthcare Companion. It explores the four key elements of DiagnoTech: Lab Tests, Body Mass Index (BMI) Calculation, Yoga and Diet Recommendations, and disease prediction. It brings to light each of these features’ functionalities, integration, and their collective impact on the healthcare industry. …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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1D-Nano-Scale Porous Silicon (1D-Psi) as Optical Sensor Device
Abstract: This research article embarks on a thorough experimental inquiry into the detection of kerosene adulteration in petrol, employing a sophisticated one-dimensional microcavity of nano-scale porous silicon (1D-PSMC) sensing device. The significance of this investigation stems from the detrimental consequences of petrol adulteration, which not only aggravates environmental pollution but also jeopardizes the functionality and durability of machinery components, thereby posing significant economic and environmental challenges. The 1D-PSMC, designed to function …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 69–75 Read article
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Foundation in Weak Soil
Abstract: In geotechnical engineering, it is crucial to evaluate the interaction between structural loads and soil properties to ensure the stability and safety of foundations. In this scenario, the column is subjected to a load of 120 tons, with an additional 10% safety factor added, resulting in a total load of 132 tons at the foundation base. The foundation base is designed with dimensions of 2.5 meters by 2.5 meters, and …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 47–52 Read article
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The Importance of Safety Engineering in the Design and Assessment of Foundations
Abstract: In safety engineering, ensuring the stability of structures under lateral loads is a critical aspect of foundation design. Lateral forces, such as wind, seismic activity, or other environmental pressures, exert overturning moments on columns, which must be carefully managed to prevent structural failure. To maintain stability, the overturning moment at the foundation base, generated by these lateral loads, must always be less than the restoring moment produced by the soil's …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 24–29 Read article
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The drying characteristics of bitter and sour sop leaves are affected by temperature
Abstract: One of the earliest techniques for food preservation is the drying method. Drying is important because it reduce the moisture content of the food hence reducing the breeding ground for microorganism that causes food spoilage. Due to this marked effect, the study was aimed at investigating the effect of temperature on the drying characteristic of bitter leave (Vernonia Amygdalina) and Soursop (Annona Muricata). The methodologies employed in this researches are …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 12, Issue 3, 2024 · pp. 01–014 Read article
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Smart Framework for Personal Fuel Expense Tracking and Carbon Emission Assessment
Abstract: This study presents a smart system that is intended to assist individuals and administrators in tracking their fuel costs and keeping an eye on their daily carbon emissions. It makes it simpler to make decisions by examining fuel consumption and its effects on the environment. The technology gathers real-time emissions data from vehicles equipped with Internet of Things devices. It can predict future trends of emissions by utilizing AI-based predictive …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 36–44 Read article
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Experimental Study on the Strength Enhancement of Carbon Fiber Reinforced GGBS Concrete
Abstract: This study provides an in-depth analysis of the experimental investigation conducted on carbon fiber reinforced GGBS concrete (CFRGC). The primary objective of the research was to evaluate the effects of carbon fibers on various mechanical properties of concrete, with a particular focus on strength parameters. In this study, the carbon fiber content was systematically varied from 0.5% to 1.5% by weight of cement, in increments of 0.5%, to determine the …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 36–50 Read article
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Smart Infrastructure Systems: A New Era in Civil Engineering and Infrastructure Management
Abstract: Civil engineering has experienced a significant technological shift due to the adoption of smart infrastructure systems. The integration of the Internet of Things (IoT), artificial intelligence (AI), and big data analytics has facilitated real-time monitoring, predictive maintenance, and improved infrastructure management. These advancements have transformed the planning, design, and operation of roads, bridges, water systems, and buildings. By employing smart sensors and AI-driven algorithms, engineers can now optimize the entire …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 38–43 Read article
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Investigating the Effect of Rubber as Partial Coarse Aggregate Replacement on Concrete Performance
Abstract: The growing challenge of managing scrap tire waste presents an opportunity for recycling these durable materials into concrete production. This research investigates the mechanical properties of concrete with waste tire rubber chips incorporated as a partial replacement for coarse aggregates at 0%, 5%, 10%, and 15% by volume. The study evaluates workability, compressive strength, and tensile strength, alongside durability assessments in a 5% sulphuric acid solution. Initial findings indicate that …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 11–17 Read article
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Smart Water Harvester
Abstract: Smart water harvester is a wiser use of Data Science in the optimization of rainwater harvesting, taking into account the forecast of precipitation and ideal catchment areas, and basically image processing using machine learning. In that respect, the system, via predictive algorithms like Random Forests, predicts the amount of rainfall by taking into consideration historical and real-time data, while Digital Elevation Models (DEM) and visualization methodologies of images make geographical …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article