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454 articles for “Prediction”
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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Development of Momentum Transfer and Kinetic Model for Hydrocarbon Degradation in a Flowing Stream
Abstract: ABSTRACTA momentum transfer and kinetic model for prediction of individual hydrocarbon degradation in a flowing stream system has been developed in this study. This model was developed to monitor, predict and simulate degradation of individual hydrocarbon in most flowing streams in the Niger Delta region of Nigeria. The model was developed from first principle using plug flow reactor concept. It was simulated with MATLAB R2007b software using data of crude …
Published in International Journal of Chemical Separation Technology · Vol. 6, Issue 2, 2020 · pp. 17–34 Read article
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Modelling and Simulation of a Bio-Fermenter for Ethanol Production
Abstract: Industrialization and world population are continuously increasing and this demands high energy. Ethanol is one of the leading bio-fuel in recent years. In this research, mathematical models were developed to monitor, predict and simulate the rate of production of ethanol from the fermentation process of corn. Increase in the ethanol production was observed within the range of 0 >D_S≤0.25 of solvent dilution rate with the optimum value of ethanol concentration …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 7, Issue 1, 2021 · pp. 39–50 Read article
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Landslide Monitoring, Detection and Warning System by Wireless Sensor Network (WSN)
Abstract: Wireless sensor network (WSN) is one of the most hopeful field and has uncountable applications in the real-time systems. Execution of WSN in real-time system for landslide detection and warning system is discussed in the present paper. Sliding of rocks and soil is called landslide. It is triggered mostly because of heavy rainfall or melting of snow and can cause loss of lives and property. Using real-time monitoring the landslide …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 2, 2017 · pp. 24–28 Read article
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Modeling legionella spp pressured by two dimensional variation of velocityand horizontal transverse dispersion in udi creek
Abstract: This study carried out was to monitor the transport system of Legionella in Udi creek.The rate of Legionella was determined through microbial analysis investigated at different location in the study environment.The contaminants was observed to be predominant in the creek.This condition implies that there will be serious illness since the human settlers collect waterfrom the creek for their every domestic activities.Monitoring the rate of pollution from Legionella becomes imperative based …
Published in International Journal of Water Resources Engineering · Vol. 6, Issue 1, 2020 · pp. 34–46 Read article
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Simulation Models to Estimate Annual Runoff Volume in different Characteristics Soil Formation
Abstract: The study is aimed at developing mathematical models that will simulate annual runoff to acorresponding annual rainfall for different soil characteristics formation in the studied area. Theresearch established predictive models for sandy soil and sandy loam and coastal alluvium and siltyloam that can be used to simulate annual runoff to a corresponding annual rainfall usingmathematical tool of linear regression method and high correlation was found between annualrainfall and annual runoff …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 1, 2021 · pp. 26–33 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
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Building Movie Recommendation System using Clustering, Collaborative Filtering, Matrix Factorization and improving the accuracy of the system by incorporating Opinion Mining
Abstract: Recommendation systems is a part of information filtering system which are gaining tremendous popularity and are one of the most used systems these days because of their ability to make suitable predictions depending upon the user’s requirements. A recommendation system is a system that predicts the rating, preference or reviews that a user would give to a particular item. They are used in a variety of fields including movies, music, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 6, Issue 2, 2020 · pp. 1–5 Read article
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Developed Software “Medical Office” as Main Part of Embedded Computing Medical System
Abstract: The embedded system is a combination of computer hardware and software, designed to develop and implement algorithms in programming languages in such a way as to use several computers as automated workstations of a doctor to solve the general problem of medicine - the coverage of monitoring patients, their treatment and predicting the results of treatment in large medical center or centers.This goal is achieved through the development of such …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 17–29 Read article
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Modeling of Material Removal Rate in Micro EDM Using Neural Network
Abstract: In micro-electrical discharge machining (Micro EDM) machining, material removal rate (MRR) is the particular main output parameter. Here we will discover various machining parameters get an effect on the particular MRR. For production industries, to maximize the results from Micro EDM, appropriate predictive designs for MRR must end up being constructed. This particular report utilizes neural network modeling to predict MRR over the particular machining time for assortment of cutting …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 4, Issue 1, 2018 · pp. 30–39 Read article
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Chemometrics Analysis based on Infrared Spectroscopy of Emu Oil Obtained by Different Solventless Methods
Abstract: The multivariate analysis technique principal components regression (PCR) was used as a method of discrimination of the information obtained in the infrared spectra with the AssureID and Spectrum QUANT+ Software, to predict structural changes in emu oil extracted by solventless methods. A set of 20 spectra per sample for each extraction method was used, incorporating the spectral information in the calibration of the chemometric analysis. Variations in the spectra were …
Published in International journal of Nanobiotechnology · Vol. 8, Issue 2, 2022 · pp. 31–37 Read article
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Investigation of Losses in Nanocrystalline Soft Magnetic Nanomaterials - Review
Abstract: The dependency of power loss on frequency and maximum induction in soft magnetic materials, is considered for loss prediction in nanocrystalline material Fe73,5Cu1Nb3Si13,5B9 in the range , .The proposed formula is derived from considerations on the Poynting theorem and takes into account multi-scale power loss dissipation in soft magnetic materials. It takes the form The knowledge of the scaling exponents in the abovementioned formula allows us to predict power loss …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 3, Issue 2, 2017 · pp. 20–25 Read article
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Combine Effect of Dry and Decomposed Raffia Palm in the Bioremediation of Oil-based Drill Cutting
Abstract: This study determines the effect of dry substrate and decomposed raffia palm for degradation of oil- based drill cuttings bioremediation. The remediation process was effectuated using dry and decomposed raffia palm. The experiment was carried out at the research Centre located at Agricultural and Environmental Engineering departmental workshop in Rivers State University, Port Harcourt. Samples of oil-based drill cuttings were bulked in eleven reactors with four replications (T1, T2, T3-T11). …
Published in International Journal of Composite Materials and Matrices · Vol. 9, Issue 1, 2023 · pp. 21–29 Read article
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Performance and Combustion Analysis of Diesel Engine Fueled with Jatropha Biodiesel—Diesel Blends Using Taguchi’s Approach
Abstract: The aim of this work is to analyze performance and combustion of the various blends of diesel fuels and jatropha biodiesel. Experiments have been carried out using a single-cylinder, four-stroke, variable compression ratio CI engine fueled with jatropha biodiesel and its blends with diesel fuel. The test has been conducted using the fuel blends of 0%, 50% and 100% by volume biodiesel with diesel fuel. The percent biodiesel (0%, 50% …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 5, Issue 1, 2019 · pp. 25–40 Read article
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Experimental Investigation of Jatropha, Karanja, Mahua and Polanga oils based biodiesel using Analysis of Variance
Abstract: The paper focused on application of ANOVA in predicting statistical model of four non-edible oils based biodiesel using design expert 6.0.8 tool. The response surface methodology using Central composite rotatable design is applied to design the experiments and the biodiesel yield of Jatropha, Karanja, Mahua, Polanga oils is to be measured. The optimum process parameters for biodiesel yield are predicted through desirability approach. It has been observed that a design …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 9, Issue 1, 2023 · pp. 1–8 Read article
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Optimizing Power Quality and System Efficiency in Wind Energy Conversion Systems for Enhanced Stability and Robust Integration with the Electrical Grid
Abstract: Wind energy is becoming one of the fastest growing renewable source in the world. It is clean and low cost, but when wind system connects to electrical grid there are many challenges like voltage fluctuation, harmonics, power loss and less stability. Power quality and efficiency problem make difficulty for strong integration with grid. For this reason, many research work is going on in area of condition monitoring, converter design, storage …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Cost-Constrained Sensor Reduction for Deployment AwareIoT-Based Multiclass Water Quality Monitoring
Abstract: Large-scale Internet of Things deployment for water quality monitoring systems is bounded by the capital and several other costs associated with the multi-dimensional sensor. While prior research demonstrates strong predictive performance using multi- parameter physicochemical sensing, limited attention has been given to explicit sensing cost constraints and deployment feasibility. This work formulates multiclass water quality classification as a cost-constrained learning problem in which sensing dimensionality is minimized subject to bounded …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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Conversion of Heat Absorbed (Waste Heat) in a Building for Electricity Generation Using a Thermoelectric Generator
Abstract: This study investigates the feasibility of thermoelectric generators (TEGs) for recovering waste heat from building systems and converting it into electrical energy through the Seebeck effect. A journal-scale simulation framework integrating ANSYS thermal modeling with MATLAB/Simulink electrical analysis was developed to evaluate TEG deployment on building envelope surfaces at the Federal Polytechnic Nyak Shendam, Nigeria. Results demonstrate a proportional increase in electrical output with rising temperature gradients, confirming predictable thermoelectric …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article