Search
1732 articles for “Predicting”
-
Optimization of Roof angle for Sloping Roof Buildings under Extreme Wind Conditions
Abstract: A downburst that occurs during a thunderstorm is a strong downward current of wind which comes down with high speed from the cloud level and hits the ground. After hitting the ground it spreads radially outward in all directions. These are generally destructive in nature. There are evidences of downburst causing extensive damages to buildings, electrical installations etc. In India thunderstorms often occur during pre-monsoon and post-monsoon seasons particularly in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 1, 2019 · pp. 1–5 Read article
-
Performance Analysis and Detection of Stress using IoT Sensors
Abstract: The objective of this paper is to review recent researches on several stress prediction and detection techniques and also to provide better streamline on various stress management techniques. Worldwide, people experience mental stress concerns with different reasons including family issues, financial issues, social issues and environmental issues. The adjustable stress can develop a person; however, the strong response or continuous stress becomes critical. Hence, prediction, detection and management of physical …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 1, 2022 · pp. 7–15 Read article
-
Social Media Analytics for Academic Performance of Students
Abstract: AbstractNowadays social media become the public platform around the world to discuss issues or for getting information, finding friends and many more. It is part for daily life which refers a common activity amongst children, youngsters and emerging adults. Excessive usage of social media may raise the question about the performance of students. Prediction of any event is always fascinating and very important part of the research. In this article, …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 1, 2020 · pp. 21–26 Read article
-
Modeling Reaction Rate of Dispersion Coefficient and Oxygen Deficit on Nitrobacteria Transport in Onu-Imo River
Abstract: The migration rate of nitrobacteria in the Onu-Imo River was monitored based on some variables that determine the predictive model for such pollution transport. These parameters were factors applied in developing the derived model for the study. The variables were integrated into the system to monitor their various rates of impact on the transport process in the study environment. This was monitored by applying a one-dimensional flow transport system at …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 11, Issue 1, 2021 · pp. 28–41 Read article
-
Research on Adversarial Disturbance Based on Meteorological Time Series Data
Abstract: When the deep learning model is used to predict time series data, it is easy to be adversarially attacked. The time series data is sensitive to the abnormal disturbance and has strict requirements on the disturbance amount. To solve these problems, we propose to generate adversarial time series by adding disturbance terms to the original time series, and design an adversarial attack algorithm based on the importance measure (AAIM in …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 3, 2022 · pp. 1–19 Read article
-
Corrosion of Reinforcement in Concrete and Steel: Review Paper
Abstract: Present paper review about all the aspects of corrosion of reinforcement. Like methods for controlling the corrosion, Alternatives materials, numerical modelling for predicting the corrosion rates. Different admixtures used for controlling corrosions. Epoxy materials compared to conventional cementite materials shows very small shrinkage defect. For damage prediction rate of corrosion is very crucial input parameters. Corrosioninfluencing factors such as cover cracking, resistivity, concrete quality and cover depth should be incorporated …
Published in Journal of Structural Engineering and Management · Vol. 3, Issue 2, 2016 · pp. 43–50 Read article
-
Stochastic Modelling for Generating Monthly and Annual Rainfall at Rajasthan
Abstract: Rainfall is a phenomenon, which directly or indirectly affects all the sectors like agriculture, insurance, industry and other allied fields. It is well established that the rainfall is changing on both the global and the regional scales due to global warming. So the prediction of actual amount of rainfall is very complex till now. But now a day’s stochastic rainfall models are widely used in hydrologic analysis for rainfall forecasting. …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 3, 2017 · pp. 28–39 Read article
-
Turbulence Characteristics of Flow over Smooth and Rough Beds
Abstract: Experimental study on turbulence measurements in an open channel with smooth and rough beds using acoustic doppler velocimeter (ADV) has been carried out in the present study. Measured velocity distribution along the depth on smooth and rough beds for different discharges and bed slopes is in good agreement with logarithmic law. The turbulence intensities were more near the bed and less near the water surface. Existing equations for turbulence intensities …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 160–166 Read article
-
Correlation Between Software Metrics and Defects
Abstract: Nowadays open source software systems are more popular and plying very important roles in many scientific and business software applications. Most companies are searching for open source software projects and many of them are using this open source projects in their own work. But as a result, open source software is commonly developed with a special management style than the economic ones, the standard and reliableness of the code have …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 1, 2018 · pp. 6–11 Read article
-
Early Fault Diagnosis of Vehicle EGR System Based on Support Vector Machine Technique
Abstract: It has been a challenge to the automotive world to manufacture the smart vehicle components that contribute to the performance of vehicle operations to adhere due to strict vehicle emission norms. In this context, engine operations need to carry systematically, which helps to maintain the function of the vehicle emission system properly. Now a day’s electronic sensors are playing a vital role in smarter vehicle component operation. In-vehicle exhaust gas …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 3, 2021 · pp. 1–11 Read article
-
Dietary Intake Habit and State of Anaemia Among Women Who Gave Birth at Ayder Comprehensive Specialized Teaching Hospital, Northern Ethiopia
Abstract: Introduction: Pregnancy—a physiologically demanding process—is impacted by dietary intake of the mother before and during pregnancy. Anaemia, one of the problems that occur during pregnancy, is believed to exist due to several factors including poor dietary intake. Aim of the Study: This study, therefore, is aimed at examining the relationship between anaemia and dietary intake among pregnant women who came for delivery in the Ayder Comprehensive Specialized Hospital, Northern Ethiopia. …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 3, 2019 · pp. 31–36 Read article
-
The Fluctuation of Blood Glucose Level in Stroke Patients without History of Diabetes Mellitus: Relationship with its Outcome
Abstract: Purpose: In the present study we aimed at evaluating the fluctuation of fasting glucose levels and analyzing its relationship with outcomes in nondiabetic patients with ischemic stroke and intracerebral hemorrhage. Methods: We conducted a prospective study involving 316 nondiabetic patients (225 male, 91 female) with hemorrhagic and ischemic stroke, who were admitted to the Pyongyang University of Medical Sciences Hospital, Democratic People’s Republic of Korea from April 2017 to December …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 3, 2020 · pp. 5–11 Read article
-
Comparison between two severity classificaitons in patients with acute cholecystitis
Abstract: Background and objective: Assessment severity helps clinicians to guide appropriate treatment and minimumize adverse outcome. The objective of our study was to comparison between TG13 severity system and EGS grade system for predicting clinical outcomes in acute cholecystitis. Patients and method: This is a retrospective single-center study which enrolled patients who were admitted to pyongsong medical university hospital between February 2020 and October 2021. Tokyo 2013(TG 13) severity classification and …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 2, 2023 Read article
-
Digital Twin-Driven Structural Health Monitoring and Energy Management of IoT-Enabled Energy-Storing Polymer Composites Using Explainable Machine Learning
Abstract: Energy storing polymer composites are widely utilized in intelligent structural systems, because of their mechanical and electrochemical properties. But, under varying thermo-mechanical and environmental conditions, it is important to have accurate degradation monitoring for real-time industrial process is challenging. In this work, an explainable machine-learning framework for structural health monitoring and adaptive energy management of polymer composites with energy storage capacity is proposed in an IoT environment with the help …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Elevare – AI Career Suggestion Portal- Helping Students by Binding the Solutions at One Place
Abstract: The selection of suitable career has become very difficult and it's complexity is being increased day by day, due to advancement in technology and number of professional fields. conventional approaches of suitable of occupation focus on aptitude tests that in fact do not consider the variability in skills. This paper introduces a new AI-powered career suggestion portal called Elevare, which attempted to help students choose a career occupation based on …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 Read article
-
AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article
-
Simulation of Electric Vehicles DC Engine Performance
Abstract: This works develops a simulation model to predict the performance of direct current electric motors for electric vehicles (EV), mainly focused on the required power and mechanical torque as a function of the driving conditions. The simulation, therefore, has been based on the dynamic conditions of the electric vehicle to reproduce the current driving in urban routes or intercity travels. The model has been applied to synchronous and asynchronous transmission …
Published in Journal of Automobile Engineering and Applications Read article
-
The Fundamental Premises of Efficient Linear Regression and Applying Regression
Abstract: Linear regression is a statistical technique for estimating the value of a dependent variable from an independent variable. Linear regression is a way to assess how two variables are related. A dependent variable is predicted using this modelling technique based on one or more independent factors. Many analyses are based on linear regression. Sometimes the data must be changed to satisfy the needs of the analysis, or extra room must …
Published in Trends in Machine design Read article
-
Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
-
A Structure-based Design Approach to Catharanthus roseus Phytoconstituents as Potential Inhibitors of B-Cell Lymphoma 6 Protein
Abstract: Objectives: Lymphoma is a cancerous disease. It develops into millions of people worldwide. Identify the naturally active compounds from Catharanthus roseus, they have multiple values in the medicinal field of Siddha, and Indian Ayurveda are used as a disease-preventing agent. Drug illness prediction, toxicity prediction, statistical information, molecular docking, as well as absorption, distribution, metabolism, and excretion (ADME) analysis are used to predict the fit ligand as a drug. Methods: …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 2, 2023 · pp. 14–34 Read article