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454 articles for “Prediction”
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Neural network based prediction of shear wave velocity for soils
Abstract: The paper presents a study on the prediction of the shear wave velocity (Vs) for all soils using ANN model from cone penetration test data. The input parameters in the obtained of ANN models were vertical effective stress, sleeve friction, cone tip resistance and output was the shear wave velocity. These parameters were considered to construct the ANN model which has 3-2-1 topology in prediction of shear wave velocity. Further, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 23–34 Read article
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PREDICTION OF RECYCLED CONCRETE AGGREGATE SELF COMPACTING CONCRETE COMPRESSIVE STRENGTH USING MATHEMATICAL MODEL
Abstract: Sustainable Development aims at improving the standard of life without compromising the environmental qualities and for future needs. These objectives can be achieved through recycling of construction/demolished waste. In Past, land filling of Construction and Demolished waste materials was the general solution. As raw Construction Material Charges have risen dramatically, we have to look for alternative solutions and methods, such as recycling of demolished waste. Recycled Aggregate Concrete not only …
Published in International Journal of Structural Engineering and Analysis · Vol. 5, Issue 2, 2019 · pp. 34–43 Read article
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Artificial Neural Network Model to Predict Reservoir Storage
Abstract: The rapid growth in population increases water demand thus resulting in scarcity of water which is due to improper management rather than lack of resources. Reservoir is the most important source for surface water. So, reservoir storage plays a crucial role in efficient reservoir management. Artificial neural network (ANN) is capable of simulating reservoir storage capacity. So, in present work cascade forward back propagation and feed forward back propagation network …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 1, 2018 · pp. 1–8 Read article
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Predictive Model to Monitor Dissolved Oxygen Deficit and Velocity Variation Influenceon Mycoplasima Transport in Choba River
Abstract: This paper expressed various impacts from oxygen and river velocity on the transport of Mycoplasima in Choba River. The study monitor the impact of these two parameters at different pointsource of waste discharge in the River, other parameterswere integrated, but were not considered significant, since there rate of impact were not determined in the study location. The two considered parameters were applied in the system to determined their direct rate …
Published in International Journal of Water Resources Engineering · Vol. 6, Issue 1, 2020 · pp. 10–20 Read article
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House Price Prediction using Machine Learning Algorithms
Abstract: House Prices depend on various factors such as location, features of the house, construction and so on. To factor all these aspects and predict an accurate price of the house can be very tricky. The following paper proposes a system that considers every aspect of a house that effects its pricing and gives an accurate prediction of the house. The system accomplishes this utilising Gradient Boosting, Random Forest, and Decision …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 1, 2022 · pp. 23–29 Read article
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Performance Comparison of the two-stage Kalman Filtering Techniques for Density Prediction
Abstract: The advanced optimal partitioned state Kalman estimator (OPSKE) developed to overwhelm these problems of traditional approaches. In this article, we compare performance of the OPSKE with the OTSKE and the AUSKE in the maneuvering target tracking (MTT) badly behaved. We provide some analytic results to demonstrate the computational advantages of the OPSKE. Author of this paper compare these two algorithms with target tracking problem, because in that problem they dealing …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 2, Issue 1, 2016 · pp. 8–16 Read article
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Application of hybrid RSM-GA technique in predicting optimum process parameters of biodiesel production from Karanja and Mahua oils
Abstract: The current work is focused on the maximization of biodiesel production from Karanja and Mahua oils. The design expert 6.0.8 tool is used for applying the RSM and half fraction with five input process parameters are entered in it. The ranges of all the process parameters are obtained from the literature review. The experiment design matrix is produced to conduct the experiments in order to get maximum biodiesel yield. The …
Published in International Journal of Manufacturing and Materials Processing · Vol. 9, Issue 1, 2023 · pp. 7–11 Read article
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Predictive Maintenance of 6G Infrastructure Using Artificial Intelligence
Abstract: The transition to Sixth Generation (6G) wireless infrastructure introduces unprecedented complexity, characterized by massive densification, reliance on the Terahertz (THz) spectrum, dynamic cell topologies driven by Reconfigurable Intelligent Surfaces (RIS), and stringent requirements for Ultra-Reliable Low-Latency Communication (URLLC). Traditional reactive or fixed-schedule maintenance protocols are fundamentally inadequate for sustaining the necessary service continuity and energy efficiency in this hyper-connected, heterogeneous environment. This paper explores the critical role of Artificial Intelligence …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 Read article
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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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An Analytical Model to Predict a Real Time Temperature Variation During Laser Treatment of Cancer Tissues
Abstract: This work presents an analytical solution to provide a real time variation in increase of temperature during laser-treatment of cancer tissues. Energy conservation equation is used to model the respective laser treatment process considering application of the laser and related heat loss as heat source terms. The present prediction is validated first with existing literature and extended the same to predict the effect of different process variables, such as laser …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 11, Issue 1, 2025 · pp. 1–8 Read article
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Effect of Segmentation of White matter, grey matter and CSF in the prediction of Neurological disorders
Abstract: The segmentation of white matter, grey matter, and cerebrospinal fluid (CSF) plays a crucial role in predicting and diagnosing neuro disorders. This study investigates the impact of precise segmentation techniques on identifying biomarkers and structural changes associated with various neurological conditions, including Alzheimer's disease, multiple sclerosis, and schizophrenia. By leveraging advanced imaging technologies and machine learning algorithms, we aim to enhance the accuracy of neuro disorder predictions through detailed analysis …
Published in International Journal of Neurological Nursing · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
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IoT based Crop Yield Prediction System using Arduino
Abstract: India is known as an agriculture country, where most villagers have agriculture as a main income source. Agriculture plays a vital role in the Indian economy. India has over 16% GDP based on agriculture. The production of various crops cultivated in India has its own role in the economy as importation and exportation is also important for India’s GDP. As we are progressing through this time, so called ‘progress’; is …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Prediction of Shear Strength Parameters Using Multiple Regression Analysis
Abstract: Shear strength is a principal engineering property of soil. It controls the stability of a soil mass under structural loads and is used in design of foundation. In this study, a survey was carried out in and around the Bhauti region of Kanpur district, Uttar Pradesh and accordingly nine sampling locations was identified. All the samples were collected from a depth of 50 cm and analyzed for different geotechnical properties …
Published in International Journal of Landscape Planning and Architecture · Vol. 5, Issue 2, 2019 · pp. 26–39 Read article
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Protein Determination and Soluble Amino Acids Prediction in Various Solvents Extracted Solutions of Indigenous Red Lentil and Moong Pulse through Direct UV- Visible Spectrophotometer Technique: A Comparative Study
Abstract: In this comparative study, direct protein determination have been done for indigenous Red lentil (Lens culinaris) and Moong pulse (Vigna radiata) (obtained from Muzaffarpur, Bihar) by UV-Visible spectroscopy in three different solvents viz. double distilled water (ddH2O), ethyl alcohol (C2H5OH), and methyl alcohol (CH3OH). A few amino acids in solutions have also been predicted (not characterized) based on their peaks observed in UV-region by comparing them with reported range of …
Published in International Journal of Plant Biotechnology · Vol. 9, Issue 2, 2023 · pp. 42–48 Read article
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Development of Predictive Model on Corrosion of Metals in Swampy Soil Environment
Abstract: The research carried out to examine the usefulness of corrosion in metals in swampy soil. It also reveals the weight loss and corrosion rate in a metal. The following physicochemical parameters which include BOD, COD, pH and microbial activities were modelled. The extent of metal corrosion in swampy soil is dependent on many different and often interrelated factors, trying to predict what may happen to a specific object after wrecking …
Published in International Journal of Environmental Chemistry · Vol. 6, Issue 1, 2020 · pp. 15–29 Read article
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Predictive Modelling of a Bioreactor for the Production of Ethanol Using Palmwine
Abstract: This research focuses on the feasibility of biochemical technology with yeast cells (Sacccharomycees cerevisiae) for continuous ethanol production from palm wine. This was carried out in a non-isothermal batch reactor at constant room temperature. 1.5L of palm wine solution was reacted with dry active baker’s yeast until reaction was completed. Biomass, ethanol and glucose concentration were sampled every two hours, and kinetic rate parameters for the fermentation calculated using concentration/time …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 5, Issue 2, 2019 · pp. 1–8 Read article
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Prediction of Compressive strength of Periwinkle Shell Aggregate Concrete Using a Quadratic Polynomial Function
Abstract: In this study, a mathematical model is developed to predict the compressive strength of normal concrete made with periwinkle shell as coarse aggregate using a quadratic polynomial function. The response function is expressed as a multivariable function of the proportions of the component materials (water, ordinary Portland cement, sand and periwinkle shell). A total of thirty experimental runs were used to demonstrate the applicability of the mathematical model developed. The …
Published in International Journal of Concrete Technology · Vol. 6, Issue 2, 2020 · pp. 10–21 Read article
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Prediction of Circular Frequency of Precast Concrete Piles with Distributed Mass by Resonance Moment–Displacement Approach
Abstract: This paper presents the results of circular natural frequency of single piles from critical buckling load by resonance moment-displacement approach. The support end conditions considered are pinned-pinned, fixed-fixed, and fixed-pinned respectively. It was assumed that resonance moment occurs when the bending moment diagram is made equal to zero at the supports while the resonance displacement is the sum total deflections resulting from the system reduction to an equivalent pinned-pinned system. …
Published in International Journal of Structural Engineering and Analysis · Vol. 6, Issue 2, 2020 · pp. 55–61 Read article
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Assessment and Prediction of Groundwater for Irrigational Suitability
Abstract: Assessment of ground water suitability for irrigation purposes in Egita community has been investigated. The study gave sodium absorption ratio (SAR) values for different weeks of study. The values obtained ranges between 0.33 to 0.37 for both empirical model and finite element method respectively. The research demonstrates the suitability of using finite element method in predicting and monitoring sodium absorption ratio in groundwater water modelling and investigations. The correlation between …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 2, 2021 · pp. 32–36 Read article