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454 articles for “Prediction”
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Predictive Modeling of Dengue Mosquito Populations Using Artificial Neural Networksfor Effective Zapping Solutions
Abstract: The World Mosquito Programme highlights the significant global threat posed by dengue fever, estimating that over half of the world's population is at risk, with approximately 390 million cases reported annually. In 2023, India witnessed a substantial increase in dengue cases, recording over 270,000 cases compared to 74,000 in 2017. Dengue Virus (DENV) transmission occurs through Aedes Aegypti Mosquito bites, and with no specific treatment or vaccine available, effective management …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 1, 2024 · pp. 27–36 Read article
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Predictive Brain Cancer Detection and Treatment Using Machine Learning and Artificial Intelligence
Abstract: Through the combination of Big Data and the computer science discipline of machine learning, significant insights may be gained. Machine learning may now be utilized to anticipate nearly any result based on any capability thanks to developing technology. By analyzing underlying patterns in the data, machine learning creates an appropriate model. Every day, medical sciences must overcome new obstacles, such as patients' lack of knowledge about the ailments they are …
Published in International Journal of Chemical Separation Technology · Vol. 9, Issue 1, 2023 · pp. 28–39 Read article
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Predictive Model to Monitor the Rate of Dissolved Nitrogen Influenced by Void Ratio in Silty and Gravel Bed Formation in Coastal Area of Warri Delta State of Nigeria
Abstract: This paper evaluated the rate of dissolved nitrogen in silty and gravel soil formation, the study is to monitor the rate of dissolved nitrogen at different strata to phreatic bed, homogeneous formation were observed to have deposit in the study location, organic soil were insignificant since the formation deposited slight quantity, the predominant formation is homogeneous silty and grave soil strata, the void ratio deposition were at high rate in …
Published in International Journal of Construction Engineering and Planning · Vol. 4, Issue 1, 2018 · pp. 42–48 Read article
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Prediction and Assessment of Lateral Displacement of Rock Mass Along the Length of the Horseshoe Cavern – A Numerical Modelling Approach
Abstract: The stability of the underground structures is a key to successful underground mining. Caverns are large underground openings constructed in rock mass for a variety of purposes. The properties of intact rock mass are generally overshadowed by the properties of discontinuities, if the discontinuities are present. Mechanisms of deformation and failure of underground openings in jointed rock mass are determined by the characteristics of the geometrical distribution of discontinuities. This …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 1, 2017 · pp. 17–28 Read article
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Predicting the Influence of Permeability’s on Settlement of Shallow Foundation
Abstract: Foundation settlement rose as soil permeability increased, excess pore pressure increased with depth, and decreased as shear modulus increased. The expanding soil cycle (shrinkage and expansion) that is principally responsible for foundation settlement is strongly related to water content. The application of modeling and simulation was used to monitor the effect of various soil properties on foundation settlement. But the focus of this study is on Permeability including other soil …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 1, 2023 · pp. 36–54 Read article
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Monitoring of Methanobacterium Migration Rate on Penetrating in Unconfined Bed in Waste Dump Site of Port Harcourt Applying Predictive Models
Abstract: This paper monitors the deposition of Methanobacterium in penetrating unconfined bed, the soil formation monitored are the lateritic and silty formation in the study location, high concentration was expected due the environment were waste are dump on regular interval, this implies that contaminant of high quantity will definitely deposit in these formation., the system developed considered parameters that can always relate to other variables that may not be at the …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 1, 2018 · pp. 40–44 Read article
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TCP Security Action Prediction Algorithm based on Machine Learning: A Review
Abstract: The growing range of applications available on the Internet and continuous technological improvements have led to an increase in network security incidents and cyber-attacks. Consequently, computer network security is becoming more and more important. Network security can be allowed or prohibited by a TCP firewall; a device used for computer network security. When utilising classic firewalls, network managers must periodically choose which packets to admit and prohibit to keep computer …
Published in International Journal of Digital Communication and Analog Signals · Vol. 9, Issue 1, 2023 · pp. 21–26 Read article
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Blood Group Prediction Using Fingerprint
Abstract: There is a widespread need worldwide for a cost-effective solution to measure blood groups, especially critical in underprivileged regions. Leveraging Image Processing, a prevalent technology in both affluent and resource-limited areas, presents a viable option for addressing this demand. This project advocates for the use of Image Processing algorithms and detection models to non-invasively ascertain blood groups. Its goal is to offer workable solutions for creating a point-of-care instrument that …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 1–6 Read article
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Failure Prediction of Composite Lamina
Abstract: Composite materials are preferable in many applications of engineering than their metallic equivalent. These materials provide desirable characteristics and required properties for specific design and testing. In orthotropic fiber composites, the fiber orientation dictates the material properties, because the properties can be built into the laminate during fabrication. In this study, a composite laminate is tested with a specific configuration whether it would fail or survive under specific load. If …
Published in International Journal of Composite Materials and Matrices · Vol. 5, Issue 2, 2019 · pp. 27–36 Read article
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CFD Analysis and Prediction of Shockwave/Boundary-Layer Interaction at Hypersonic Flows Using RANS Models
Abstract: Interaction of shockwaves with turbulent boundary layer plays an important role in the design and operability of high-speed aerospace vehicles and air-breathing engines. The adverse pressure gradient of the shock is often strong enough to separate the boundary layer. The objective of the present research paper deals with the analysis of hypersonic viscous flows dominated by strong shockwave/boundary-layer interactions (SWBLI) over wing-flap and wing-fuselage junction configurations. The effects of the …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 2, 2019 · pp. 33–50 Read article
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Predictors of Cardiovascular Disease Risk Among adolescents in Indian Context
Abstract: India harbors the world's largest population of adolescents, marking a period of substantial transformation encompassing various facets, including physical, mental, emotional, and social aspects in an adolescent's life. There is a paucity of data on theprevalence of underweight, overweight, and obesity in Kerala, especially about the magnitude of the problem amongadolescents. Nurses play a key role in primordial prevention and thus limited studies on socioeconomic status (SES) and anthropometrics among …
Published in International Journal of Cardiovascular Nursing · Vol. 9, Issue 2, 2023 · pp. 9–16 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article
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Comparison of Theoretical and Experimental Investigation of Suspened Solids Sedimentation Model in Stagnant Water Environment on Crude Oil Degradation
Abstract: In this investigation the developed model of Ukpaka’s, Stoker’s and Newton’s were compared with the determine values from the experimental data obtained in the suspended solid (TS) in a stagnant water environment. Theoretical and experimental data established in this research demonstrated a good match as well as the evaluated deviation error reveals acceptable range indicating the usefulness of these models in monitoring and predicting the TS sedimentation mechanism in crude …
Published in International Journal of Chemical Separation Technology · Vol. 8, Issue 1, 2022 · pp. 1–16 Read article
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Industrial IoT Based Health Monitoring System of Motor and Transformer
Abstract: This research presents an Industrial IoT-based health monitoring system tailored for motor and transformer components in industrial environments. Integrating advanced sensors, microcontrollers, and MQTT communication, the system enables real-time monitoring and predictive maintenance. Accurate measurement of critical parameters, coupled with effective anomaly detection algorithms, empowers operators to pre-emptively address potential equipment failures. The system's reliability and effectiveness in optimizing equipment reliability and minimizing downtime offer a promising solution for industrial …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 1, 2024 · pp. 13–19 Read article
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Entropy-Based Damage Accumulation in Tribological Systems: A Comprehensive Review
Abstract: This paper reviews classical wear models and entropy-based degradation approaches used for predicting failure in tribological systems. Various wear models, thermodynamic frameworks, and applications of the Degradation Entropy Generation (DEG) theorem are discussed. Friction, which is the primary source of heat generation in tribological contacts, is responsible for material degradation through a variety of irreversible processes. While classical wear approaches have been widely used for wear prediction and life estimation, …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 1–12 Read article
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Multiple Regression Analysis of Compressive, Flexural, and Split Tensile Strength in M40 Grade Concrete
Abstract: Concrete plays a key role as a construction material across the globe. The strength parameters of the concrete are primary reason for which it is designed for. The design mixed concrete has multiple strength parameters like compressive strength, spilt tensile strength, flexural (bending) strength etc. For each newly design mixed concrete, the mentioned strength parameters are tested for various time duration like 3 days, 7 days, 14 days, 28 days …
Published in International Journal of Construction Engineering and Planning · Vol. 11, Issue 2, 2025 · pp. 20–34 Read article
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Climate Change Modeling Using Machine Learning and Big Data
Abstract: Climate change is now one of the biggest issues that affect the world today and studying its impacts for it is very significant in enabling the formulation of social policies. This paper also discusses how climate sciences, machine learning, and big data analytics can greatly help in the improvement of the current capacities in climate modeling. Explaining the methods of climate modeling, we look at how the big data offers …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 6–11 Read article
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Machine Learning Approach for Analysis of Ionosphere Parameters for Earthquake Precursors
Abstract: This research explores the relationship between seismic events and predictive indicators, focusing on machine learning-based strategies for early earthquake prediction. It dissects existing prediction approaches, highlighting ionospheric anomalies' correlation with seismic occurrences, particularly preceding earthquakes of magnitudes higher than 5.5. By identifying a lack of comprehensive long-term analyses in the field, the study emphasizes future trends in machine learning-driven EQ-PD techniques using GPS-TEC data for real-time anomaly detection. The methodology …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 37–46 Read article
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A Study on Supervised Machine Learning-based Airports/Flight Delay Analysis and Classification
Abstract: Airline delays are a major cause of the financial losses that plague the global aviation business. Airports, airlines, and passengers all suffer when flights are delayed. Their forecast is vital to the commercial aviation industry's decision-making process. Flight presents a significant obstacle for the aviation sector. Increased air traffic and subsequent flight delays are a direct result of the aviation industry's rapid growth over the past two decades. The economic …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 20–36 Read article
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A Performance Evaluation of Transformer, LSTM, and ARIMA Models for LoadForecastinginIndia'sRenewable-RichSmart Grid
Abstract: India is trying to use renewable energy such as solar and wind to produce extreme and unpredictable fluctuations within India's National Smart Grid. These extreme fluctuations create difficulties for traditional load forecasting methods, including Autoregressive Integrated Moving Average (ARIMA) models, to provide stable and efficient operation through the creation of accurate short-term load forecasts. To accomplish this, the research aims to develop high-quality predictive models by comparing three modelling methods: …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article