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1732 articles for “Predicting”
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Sustainable Concrete Solutions: Chemically Predictive Modeling of Geopolymer Versus Ordinary Concrete in a Circular Economy
Abstract: Concrete is a fundamental structural material widely used in civil engineering projects. It plays a key role in various types of building structures, with its quality directly influencing the durability of the construction. This research focuses on assessing the current state of concrete construction, highlighting critical issues and technical aspects in the process, while emphasizing the importance of improving construction quality and management practices. Geopolymer concrete (GPC) presents a viable …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 170–192 Read article
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
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A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Challenges and Remedies for Stray Loss Prediction and Reduction for Power Transformer
Abstract: Power transformer facilitates the bulk power transmission for long distance. Cost wise it is one of the costliest objects of power system. This is the reason; their design has been a major concern and the subject of extended research. Nowadays customers are asking for highly efficient transformers in lower cost. That means, continual improvements, analyses and innovative techniques have to be adopted by designers and manufacturers. The stray loss analysis …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 25–34 Read article
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Integration of Soil Profile Data in Crop Prediction Models: A Comprehensive Review
Abstract: Farmers in many areas of India are having crop production issues due to soil and climate. There is no comprehensive guide accessible to assist them in developing the appropriate types of plants using modern technology. Farmers may be unable to benefit from agricultural scientific developments due to illiteracy and may continue to rely on human practises. This complicates getting the desired yield. Crop failure, for example, could be the result …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 6–11 Read article
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Prediction of shear strength of reinforced concrete beams using Artificial Neural Network and evaluated by Finite Element Software
Abstract: ABSTRACTIn this paper, the Artificial Neural Network (ANN) and the Adaptive Neuro-Fuzzy Inference Framework (ANFIS) are utilized to foresee the shear quality of Reinforced Concrete (RC) shafts, and the models are contrasted and American Concrete Institute (ACI) and Iranian Concrete Institute (ICI) observational codes. The ANN display, with Multi-Layer Perceptron (MLP), utilizing a Back-Propagation (BP) algorithm, is utilizedto foresee the shear quality of RC pillars. Six vital parameters are chosen …
Published in Journal of Construction Engineering, Technology & Management · Vol. 8, Issue 1, 2018 · pp. 34–42 Read article
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Prediction Of Compression Index For Lateritic Soil Using Transformed Variable
Abstract: The information on the compression index of a soil is vital in geotechnical design, but its determination is expensive and time consuming. Most models relating compression index and basic soil properties are usually based on soil types. This work seeks to develop a model relationship between compression index and basic soil properties for lateritic soils. Selective transformation method which involves testing some general functional forms, to choose the model that …
Published in Journal of Geotechnical Engineering · Vol. 5, Issue 3, 2018 · pp. 14–23 Read article
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A Simulation Model to Predict the Performance of Ethanol- Gasoline Blend (E15) in a Spark Ignition Engine
Abstract: Usage of biofuels like bio-ethanol as a fuel in IC Engines is becoming prominent day by day due to their positive characteristics like biodegradability, nonpolluting, renewability, homegrown etc. Conducting experiments on real engine to establish the suitability of biofuels to IC Engines is very time consuming and expensive. Computer based simulation helps in addressing these problems. In this work an attempt is made to simulate performance and emission of SI …
Published in Journal of Industrial Safety Engineering · Vol. 7, Issue 3, 2020 · pp. 13–22 Read article
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Development of a predictive model for determining mechanical properties of nano Al2O3 reinforced adhesive bonded SS304 single lap joint
Abstract: In this study, single lap joints were prepared by adding nano-additives (Al2O3) in the quantity of 3 wt % in the phenolic resin, and the overlap length was varied to observe the effect on joint engineering properties. In the experiments, a single component system of a specific grade of phenolic resin was used as a binder, and aluminum (AA8011), as well as stainless steel (SS304), was used as adherends. The …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. 20–28 Read article
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Power Swing Detection and Out-of-Step Prediction Using the Equal Area Criterion
Abstract: During the operating conditions, the modern interconnected power systems are more subjected sudden changes, such as faults, network changes due to line trip outs, and disconnection of a large load or of a generating plant. Such disturbances create power swing among the other generators which forces the remaining generators to adjust and settle to new stable conditions. In some cases, the swings are so large that some generators run out …
Published in Trends in Electrical Engineering · Vol. 7, Issue 1, 2017 · pp. 51–60 Read article
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Study and Prediction of Radiation Effects in Solar Power Plants using Neuro Fuzzy and Neural Network
Abstract: Neural and neuro-fuzzy frameworks are utilized, to figure temperature and sun powered radiation. The principle benefit of these frameworks is that they don't need any earlier information on the qualities of the information time-series to foresee their future qualities. These frameworks with various models have been prepared utilizing as information estimations of the above meteorological boundaries acquired from the National Observatory of Athens. In the wake of having reproduced a …
Published in Trends in Electrical Engineering · Vol. 12, Issue 1, 2022 · pp. 8–19 Read article
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Proposal to Use Cartography for Predicting the Urbanization as an Aid to Communication Network Planners
Abstract: ABSTRACT In this paper, a proposal has been made to incorporate the concept of urbanization level in the maps supplied to different vendors. This in turn would aid the network planners of the telecommunication, and cellular industry to plan the network, BTS site planning, cell size planning and efficient frequency planning also. All the advantages of incorporating urbanization level have also been well discussed. Keywords: DTM, Urbanization, GSM, Network, Planning
Published in Journal of Communication Engineering & Systems · Vol. 2, Issue 1, 2012 · pp. 21–24 Read article
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Predicting Software and Hardware Reliability of Embedded Systems
Abstract: In daily existence, unwavering quality of programming frameworks is pretty much as significant as the use of programming frameworks since, in such a case that the product won't be dependable, it will get come up short whenever, abandoning catastrophes. Aside from this, assuming the product framework is an Embedded System, the unwavering quality of that inserted programming framework will be significant just as essential in light of the fact that …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 2, 2021 · pp. 1–4 Read article
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Molecular Docking of Compounds against Dengue Virus Serotype 2 and Prediction of ADME Properties Using Computational Approaches.
Abstract: Objective: Human lives are now seriously threatened by dengue fever, which is brought on by the dengue virus (DENV). It is well known that phytochemicals have a great deal of promise for curing human viral, bacterial, and fungal diseases. The purpose of this research was to develop drugs against the nonstructural protein (NS5) of dengue virus 2 (DENV2).Methods: Five phytochemicals from various medicinal plants were chosen for this research. The …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 1, 2023 · pp. 1–11 Read article
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Predicting diabetes status using ensemble algorithms with hyperparameter tuning
Abstract: Diabetes is a condition in which the body is unable to produce enough insulin to keep blood sugar levels under control. If diabetes is not properly identified and treated, it can lead to kidney failure, nerve damage, blindness, and coronary heart disease. A healthy lifestyle, therefore, depends on the early identification of diabetes diseases. However, it can be difficult to assess a person's diabetic status if they live in remote …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 1–9 Read article
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A Survey Predicting the Influence of Age, Gender and Anthropometric Measures on Blood Pressure in Bengalee Subjects in West Bengal, India
Abstract: The World Health Organization (WHO) rates hypertension as one of the most important causes of premature death worldwide. It is estimated that by 2020, cardiovascular diseases will be the largest cause of mortality and morbidity in India. Recent studies identified waist circumference (WC), body mass index (BMI), waist hip ratio (WHR), and waist height ratio (WHtR) as the risk factors associated with hypertension. This study intended to verify the influence …
Published in Research and Reviews: A Journal of Health Professions · Vol. 4, Issue 2, 2014 · pp. 1–6 Read article
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A Study of Flow Analysis Within a Tractor Cabin with the Goal of Determining the Best Vent Location and Glazing
Abstract: This study aims to improve the thermal comfort inside a tractor cabin by determining the position of the air conditioner vent location. This is obtained by maintaining the cold air flow inside the cabin by means of the air conditioning vents and proper HVAC systems. The concept of glazing on windows with different materials was also used to improve the thermal comfort of the tractor cabin by reducing the thermal …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 2, 2021 · pp. 29–42 Read article
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Evaluation and Scientific Investigation: Stock Market Forecasting Techniques
Abstract: Analysts and scholars have consistently shown interest in predicting stock market trends, a complex task given the multitude of variables influencing stock values. This article includes a thorough analysis of 50 research papers that propose methodology for stock market prediction, including Bayesian models, fuzzy classifiers, artificial neural networks (ANNs), support vector machines (SVMs) classifiers, neural networks (NNs), and machine learning techniques. The collected papers are categorized using various prediction, clustering …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 26–40 Read article
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Review on Machine Learning Techniques for Heart Failure Analysis in Health Industries
Abstract: There are few bodily components as crucial as the heart. It aids in the filtration and distribution of blood to every area of a body. The world's biggest cause of death is heart disease. It has been reported that symptoms include breathing difficulties, fast heartbeat, and chest discomfort. They analyze this data on a regular basis. This review begins with a brief introduction of cardiac disease and the present methods …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 29–43 Read article