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1733 articles for “Predicting”
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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PREDICTIVE LEARNING POWERED BY AI AND SOPHISTICATED STUDENT ENGAGEMENT TECHNIQUES
Abstract: The contemporary landscape of education has witnessed a paradigm shift in integrating advanced technologies that have revolutionized the learning experience. Innovative methodologies have emerged to address longstanding challenges, such as enhancing student engagement, accurately predicting academic performance, and personalizing the learning journey. However, despite the numerous benefits that technology brings to education, there remains a crucial hurdle - sustaining student motivation and engagement. Traditional teaching methodologies often struggle to generate …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 127–140 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Oceanmind Systems: AI-Driven Marine Life Intelligence for Climate Prediction and Ocean Ecosystem Stability
Abstract: Oceans regulate global climate systems, support biodiversity, and serve as critical carbon sinks, yet they remain under-monitored relative to their ecological importance. Traditional oceanographic methods rely heavily on satellite sensing, buoy networks, and periodic marine surveys, which often fail to capture real-time biological dynamics at micro-ecosystem levels. This paper introduces OceanMind Systems, an artificial intelligence (AI)-driven marine intelligence framework that integrates marine life behavior, oceanographic data, and computational modeling to …
Published in International Journal of Marine Life · Vol. 3, Issue 2, 2026 Read article
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Analysis of Low Bit Rate Audio Compression System using Linear Predictive Coding
Abstract: Abstract The point of the task is to build up a framework for encoding great quality discourse at a low bit rate. To execute this, we have utilized the most dominant discourse investigation system called Linear Predictive Coding (LPC). It utilizes tenth request Levinson-Durbin Recursion calculation to achieve the errand. It gives amazingly exact evaluations of discourse parameters and is moderately effective for computation. The discourse flag of guys and …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 1–6 Read article
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Prediction of Various Optimal Solutions for Desirable Performance Parameter of Non-edible Oils-based Biodiesel
Abstract: The use of energy has expanded a ton by virtue of the modification in the way of life with the progression of masses. This consistent expansion of energy request began the states of the fossil oil deficiency, regular effects for example nursery impact, an Earth-wide temperature boost and so on. Oil based products are restricted assets of energy; from now on, it is must to look for an elective asset …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 1, 2024 · pp. 25–29 Read article
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Prediction of Bead Geometry Parameters using Response Surface Methodology and Finite Element Analysis of Gas Metal Arc Welded Joints of Aluminum Alloy
Abstract: Gas Metal Arc welding process aims to produce welded joint with the excellent mechanical properties with minimum distortion and desired weld bead parameters. In welding, input process parameters decides the quality of weld joint. Manufacturer are facing problem of controlling the process input parameters to obtain a good welded joint with the bead geometry. Prediction of weld bead geometry play very important role in determining the quality of weld. This …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 2, 2018 · pp. 23–35 Read article
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Surface roughness prediction in the turning operation by using experimental results and equation.
Abstract: This paper was discussed the values of surface roughness prediction models for turning EN24/817M40T steel (277 BHN) by using equation and experimental results. A factorial design technique has been used to study the effects of the main cutting parameters such as cutting speed, feed, and depth of cut, on surface roughness. The tests have been carried out using uncoated.A first-order prediction model within the speed range of 80-180 m min-1 …
Published in Journal of Materials & Metallurgical Engineering · Vol. 9, Issue 1, 2019 · pp. 27–30 Read article
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Establishing Empirical Relationships to Predict Grain Size and Hardness of Pulsed Current Microplasma Arc Welded Inconel 625 Sheets
Abstract: Nickel alloys have gathered wide acceptance in the fabrication of components, which require high temperature resistance and corrosion resistance, such as metallic bellows used in expansion joints in aircraft, aerospace and petroleum industry. In case of single pass welding of thinner sections of this alloy, pulsed current microplasma arc welding was found beneficial due to its advantages over the conventional continuous current process. The paper focuses on developing mathematical models …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 37–47 Read article
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Theoretical Prediction of Maximum Number of Methane Molecule Accommodation in Unit Cages of S-I Clathrate Structure
Abstract: Density Functional Theory (DFT) based simulations have been performed to determine maximum possible number of methane molecule accommodation in unit cages of methane hydrate structure-I (S-I). Interaction energy, encapsulation energy and incremental encapsulation energy are calculated using B3LYP functional and 6-31+G(d) basis set. Nuclear magnetic resonance and Raman spectroscopy of one methane encapsulated are predicted at B3LYP/6-31G(d) level for 51262 hydrate cage. Maximum one methane molecule accommodation both in 512 …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 116–122 Read article
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Regression and ANN Models in Predicting Tool Wear
Abstract: A modern machining system must be able to detect tool wear while milling in order to maintain the product's surface quality. The vibration signatures produced by a single point cutting tool during machining have been found to be good predictors of the tool's health. The current study used Artificial Neural Networks to forecast tool life by analysing vibration signatures when turning EN9 and EN24 steel alloys (ANN). Tool wear prediction …
Published in Journal of Production Research & Management · Vol. 12, Issue 1, 2022 · pp. 14–18 Read article
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Predictive and Degradation Analysis in the Life-Cycle of Monocrystalline and Multicrystalline Photovoltaic Modules using Electroluminescence Imaging & Monitoring Studies
Abstract: AbstractSolar Technology is the cynosure of all eyes in this global era. With major thrusts towards decarbonization, improving the overall efficiency of Solar Modules is the most coveted thing in this arena. The efficiency of a Solar panel ranges between 18-25 % when it is in good working condition. There are several causes of the efficiency decreasing further. A solar panel is susceptible to a lot of damages, ranging from …
Published in Journal of Semiconductor Devices and Circuits · Vol. 7, Issue 2, 2020 · pp. 23–27 Read article
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Bund Breakage Predictor and Automatic Field Irrigation System
Abstract: Bunds are one among the most common techniques used in agriculture to collect surface run off, increase water infiltration and prevent soil erosion. Their principle is comparably simple by building bunds along the contour lines, water runoff is slowed down which leads to increased water infiltration and enhanced soil moisture. Water is an important resource for agriculture. Bund breakage predictor and automatic field irrigation system is used to calculate the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 2, 2019 · pp. 1–18 Read article
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Channel Prediction and Estimation Based on Machine and Deep Learning Techniques: A Review
Abstract: Channel prediction estimation in the high- speed mobile environment is a hot issue for 3D massive multiple input multiple output (MIMO) millimeter-wave (mmWave) system. In this environment, the channel has fast time-varying and non-stationary characteristics. And its time-domain correlation coefficient is a time- varying parameter, which makes it difficult for traditional channel estimation methods to capture the channel variations over time and achieve ideal channel estimation performance. A known signal, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 13–17 Read article
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PREDICTING THE BEHAVIOUR OF BORRELIA IN HOMOGENEOUS FINE SAND IN COASTAL AREA OF BAKANA
Abstract: AbstractThe deposition of borrelia in fine sand formation in the coastal area of Bakana was monitored applying modeling and validation, the study try to predict the migration process of borrelia in the coastal formation, such deltaic depositions were observed to be alluvia predominant thus maintained homogenous fine sand formations. The study monitor the transport of borrelia in coastal area to observed whether the homogeneity will affect the behaviour of borrelia …
Published in Recent Trends in Civil Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 11–19 Read article
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Utilization of Statistical Learning Algorithms for Prediction of Elastic Modulus of Jointed Rock Mass
Abstract: This study uses two statistical learning algorithms for the prediction of elastic modulus (Ej) of jointed rockmass. The first algorithm uses support vector machine (SVM) that is firmly based on the theory of statisticallearning and uses regression technique by introducing -insensitive loss functionhas been adopted. Thesecond algorithm uses relevance vector machine (RVM). It is based on a Bayesian formulation of a linearmodel with an appropriate prior that results in a …
Published in Recent Trends in Civil Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 81–94 Read article
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Predicting flexural strength from alccofine and fly-ash as partial replacement of cement for high strength concrete
Abstract: Materials of different sourced has been applied by researchers to partially replace cement, this has been producing commendable results, the intension of these studies are to reduce waste generation from some of this materials and reduced cost, most of this material are sourced locally, this implies that it will be economical for construction engineers as this concept are achieving tremendous results, the study is to monitor flexural strength from Alccofine …
Published in Recent Trends in Civil Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 40–64 Read article
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Machine Learning Regression Based Approach for Prediction of the Ultimate Tensile Strength of Tungsten Inert Gas Welded Joints
Abstract: Many leaders in technology education have shown that the main difference between the technical design process and the process of engineering construction analysis and efficiency [1–3]. The engineering analysis phase of the construction process is where the mathematical and scientific models principles are used to help the designer predict the design results. The engineering feasibility phase process is a systematic process that uses structural elements and conditions to allow the …
Published in Trends in Machine design · Vol. 8, Issue 2, 2021 · pp. 1–10 Read article