Search
454 articles for “Prediction”
-
Integrating Cellular Automata for Predicting Urban Expansion: A Case Study of Bavdhan, Sus, and Mahalunge
Abstract: Rapid Urban Expansion in the metropolitan cities like Pune, result in indiscriminate land use changes transforming natural landscapes. Such haphazard spatial development poses a risk to depletions of resources along with the disarray of the ecological system. A proactive approach to predicting and analyzing such changes is necessary in promoting the well-managed growth of cities. For the complex nature of urban growth, simulation method is used for analyzing spatial patterns, …
Published in International Journal of Town Planning and Management · Vol. 12, Issue 1, 2026 · pp. 51–62 Read article
-
Predicting Water Distribution Pipe Thermal Abnormalities Caused by Wildfire
Abstract: The paper covers the temperature thermal control of the water distribution system by predicting the temperature exceeding the safe level at pipes' locations and shutting off the water access to the main distribution pipe. The advantages of predictive thermal control over setting the maximum allowed temperature are provided. The prediction uses a transient heat conduction model with an error function approximation for arbitrary distance from the surface. It is provided …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 89–97 Read article
-
Predicting User Engagement on Social Media: A Comparative Study of Machine Learning-based Modeling Approaches
Abstract: Abstract Even while mobile social apps are becoming more and more important in people's daily lives, little is known about the elements that motivate users to interact with these apps. The goal of this work is to analyze and define the transition patterns of individual users' in-app actions as a temporally changing action graph. According to our investigation, action graphs are a useful tool for characterizing user behaviour patterns and …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 41–62 Read article
-
A Review of AI and Machine Learning Techniques in Dew Point Pressure Prediction for Gas Condensate Systems
Abstract: Condensate gas reservoirs pose considerable management challenges due to their intricate phase behavior and the critical need for accurate predictions of dew point pressure (PDew). A precise determination of PDew is vital for optimizing production strategies, estimating reserves, and planning enhanced oil recovery operations. Traditional methods for PDew determination often involve experimental analyses that can be both costly and time-consuming, highlighting the necessity for alternative predictive models. This review consolidates …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 1, 2025 Read article
-
A Role of Machine Learning for Students' Academic Success Prediction
Abstract: This research paper aims to identify early predictions of students’ academic success with the help of different indicators. One of the crucial parts of the study is identifying additional indicators that play an essential role in defining students' academic success. Early prediction of success will be helpful for various stakeholders such as students, parents, educators/teachers, institutions, universities, and the government. Machine Learning is a part of Artificial Intelligence (AI) and …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
-
Prediction of Functional Parameters of Vegetable Stem Solid Waste Degradation Using Taylor’s Variable Model
Abstract: Mathematical model was developed to monitor, predict and simulate the functional parameters of vegetable stem solid waste degradation using Taylor’s variable model. Data obtained from the experimental research work was transformed and resolved using Laplace transformation upon the degradation of vegetable stem solid waste. The specific rate of vegetable stem solid waste, maximum specific rate and the disassociation constant rate were evaluated in terms Michaeli’s Menten and Linear method using …
Published in International Journal of Plant Biotechnology · Vol. 4, Issue 2, 2018 · pp. 30–36 Read article
-
Predicting the TPH Concentration along Horizontal Direction of Stagnated Water Contaminated with Crude Oil
Abstract: The research predicts and models TPH concentration along Horizontal Direction of Stagnated water contaminated with Crude Oil. TPH diffusion in the stagnant water media was studied using Developed Dispersion and Degradation Model incorporated with first order degradation rate and the Monod equation. TPH content decreased with increase in time, but randomly varied across the depths. The impact of crude oil was more in the fresh water compared to salt water …
Published in International Journal of Chemical Separation Technology · Vol. 9, Issue 1, 2023 · pp. 12–22 Read article
-
Model for Prediction of Pneumatic Proportional Integral Controller Transfer Function for Step Input Process Response
Abstract: Mathematical model was developed to monitor, predict and simulate the pneumatic proportional integral controller transfer function for step input process response. The model developed was based on the geometric arrangement as well as the distance of the flapper from the nozzle was considered to be small, where the capacitance C is constant and R is the resistance of the integral restrictor. The characteristics of the process was monitored, predicted and …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 4, Issue 1, 2018 · pp. 28–37 Read article
-
Prediction of Step Input Response on Pneumatic Proportional Derivative Controller. The Concept of Transfer Functions
Abstract: Computer programme language of MATLAB software was used to monitor, predict and simulated the characteristics of step input response on pneumatic proportional derivative controller with the concept of transfer functions. The prediction of step input response on pneumatic proportional derivative controller was examined using the concept of transfer function. A model equation was also developed to give account of the response of on pneumatic proportional derivative controller. The equation was …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 6, Issue 1, 2020 · pp. 35–44 Read article
-
Mathematical Model for the Predictionof Compressive Strength of High Performance Concrete (HPC) Containing Saw Dust Ash and Superplasticizer
Abstract: This paper examined the prediction of compressive strength of High Performance Concrete (HPC) containing Saw Dust Ash (SDA) and Conplast SP 430 (superplasticizer), using Osadebe’s regression theory.The model developed was tested for adequacy at 95 % level of confidence using F-Statistic and was found to be reliable. A computer program written in visual basic 6.0 based on the model formulated was invoked for quick prediction of the mix ratios corresponding …
Published in International Journal of Construction Engineering and Planning · Vol. 6, Issue 2, 2020 · pp. 15–28 Read article
-
Soft Computing Based Prediction of Ultimate Bearing Capacity of Footings Resting on Rock Masses
Abstract: The present study attempts to predict the ultimate bearing capacity of shallow foundations on rock masses using five different soft computing techniques namely i) random forest regression approach, ii) artificial neural networks, iii) support vector machine with polykernel, iv) support vector machine with (radial basis function) RBF kernel and v) M5P model tree. The ultimate bearing capacity was assumed to be dependent rock mass rating, unconfined compressive strength of rock, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 1–14 Read article
-
A comparative study on the use of conventional and osadebe mix designs in predicting the marshall stability of asphalt concrete
Abstract: Asphalt concrete is an important construction material all over the world with its design always following conventional procedure in developing countries such as Nigeria. This study was channelled towards using Osadebe’s theory in comparison to the conventional design procedure in the design of asphalt concrete providing a handy mathematical model for the determination of the stability of asphalt concrete given any components’ mix proportion and vice versa. Two designs were …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 6, Issue 1, 2020 · pp. 10–23 Read article
-
Prediction of Rainfall Using MLP and RBF Networks for Monsoon and Post-Monsoon Seasons of Pune and Mahabaleshwar Regions
Abstract: Prediction of rainfall for a river basin has utmost importance for planning of irrigation and drainage system as also for command area development. For example, analysis of consecutive days of rainfall is more relevant for drainage design of agricultural lands whereas analysis of weekly rainfall data is relevant for planning of cropping pattern. Likewise, analysis of monthly and seasonal data is more useful for water management practices. With the development …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 1, 2021 · pp. 34–51 Read article
-
A Review on Crypto coin price prediction
Abstract: Due to its advantages over the established banking system, cryptocurrencies have experienced a sharp increase in price inrecent years, which has had a positive impact on the economy. As cryptocurrencies are organized by blockchain technology, itinherits its properties such as Decentralization, Transparency, Immutability. In recent years, investors and stakeholdershave become increasingly interested in machine learning and AI-assisted trading. The effectiveness of machine learningtechniques in predicting the stock market leads one …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 1, 2022 · pp. 37–42 Read article
-
Impact Analysis of Big Data Prediction and Big Data Analysis in Distributed Environment
Abstract: This paper primarily focuses on “Data Prediction and Data Analysis in Distributed Environment”. Initially introduction regarding Data Prediction, Data Analysis and Distributed Environment has been discussed. Afterwards, we have accumulated case studies which prove the necessity of the concerned topic. Later, in this paper various parameters are marked down which prove to be great assets. The concern of growing data and the importance of its prediction and analysis motivated this …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 1, 2016 · pp. 40–45 Read article
-
Taguchi based validation of wear prediction for Zirconium dioxide particulate reinforced Aluminium 7068 composites
Abstract: The current work emphasis on the tribological characterization of Zirconium dioxide (Zirconia, ZrO2) particulates reinforced Aluminium 7068 metal matrix composites for different process variables established following design of experiments methodology and consequent taguchi based validation techniques for wear prediction. The pin on disc wear test is carried out on specimens fabricated enroute ultrasonic assisted stir casting with controlled dispersion of 12 Wt.% of ZrO2 and subsequent machining of the castings …
Published in International Journal of Metallurgy and Alloys · Vol. 4, Issue 1, 2018 · pp. 37–50 Read article
-
Application of Artificial Neuron Network in roughness prediction: A case study in turning of stainless steel
Abstract: - Artificial neural networks offer a practical and efficient way to choose the best machining parameters for the turning process in order to reduce surface roughness, the resulting cutting forces, and maximize tool life. Surface roughness is a significant aspect in the evaluation of cutting performance and plays a significant role in the manufacturing process. The goal of this project is to create a model based on an Artificial Neural …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 21–26 Read article
-
A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
-
A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
-
Nonlinear Finite Element Approaches for Structural Failure Prediction: A Comparative Assessment with Case Studies
Abstract: Abstract Nonlinear finite element methods (NLFEM) have become indispensable for predicting structural failure in complex engineering systems, particularly where linear models fail to capture critical behaviors, such as large deformations, crack propagation, and post-buckling responses. This study investigates and compares several state-of-the-art NLFEM techniques – namely cohesive zone modeling (CZM), extended finite element method (XFEM), and phase-field fracture modelling – in the context of structural failure prediction. Three representative case …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article