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125 articles for “Test data generation”
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Optimization of Process Parameters for FDM Printed Tensile Test Specimens to Reduce Energy Consumption and CO2 Emission for Sustainable Manufacturing
Abstract: Three-Dimensional Printing (3D Printing) is one of the advanced manufacturing technologies which is being tremendously used in many fields because of its innovative applications. The concept of making a three-dimensional product by adding the material layer upon layer through Computer Aided Design (CAD) file data as input source is known as 3D Printing. Fused Deposition Modelling (FDM) is one of the leading technologies from all the available 3D Printing technologies, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 63–71 Read article
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Management of Ship-Generated Pollution in Nigerian Seaports
Abstract: The impact of ship-borne pollution in Nigeria’s seaport is alarming. Following the guidelines of the International Convention for the Prevention of Pollution from Ships (MARPOL). This study identifies the types of ship-generated waste; evaluates the availability of waste reception facilities in Nigerian seaports, examining the costs of operation waste reception facilities in the Nigerian Seaports; examines the management of ship waste collection processes in the Nigerian Seaports; investigates the implementation …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 2, 2025 · pp. 23–42 Read article
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Developing a Program on Nursing Information System for Computer Generated Nursing Care Plan – Doctoral Study Pilot Report
Abstract: The nursing care plans are considered to be the road map of nursing care activities and outcome of the client care but they have been neglected many years in the area of practice by nursing community especially in developing countries like India, due to multiple reasons such as time consuming, difficulty in manual updating of the information received, and reluctant to follow the nursing process. To develop a nurse friendly …
Published in Journal of Nursing Science & Practice · Vol. 3, Issue 3, 2013 · pp. 8–15 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 10–14 Read article
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Management of Waste Generated in Steel Rerolling Industries of Nepal
Abstract: The study on nature and management of waste generated in iron & steel industries of Nepal provides an overview of the nature and type of waste generated and their current management practices. The purpose of the study was to identify the nature of waste generated in iron and steel industries of Nepal and recommend appropriate measures for its management. For this study, five iron & steel industries were visited to …
Published in Journal of Industrial Safety Engineering · Vol. 7, Issue 3, 2020 · pp. 1–7 Read article
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Aerator Monitoring System for Fisheries Using Internet of Things
Abstract: To manage aquaculture effectively, we need to monitor water quality constantly. This helps prevent the depletion of dissolved oxygen, which can lead to fish suffocating. Such monitoring is especially critical in intensive pond systems. If we ignore this and fail to take action quickly, we risk losing all our fish, resulting in high costs that could have been avoided. This paper introduces a low-cost Internet of Things (IoT) based aerator …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 1–8 Read article
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Radial Basis Function Neural Networks for Rainfall-Runoff Modeling
Abstract: Rainfall-runoff process is purely nonlinear and varies spatially as well as temporally. Any hydrological model requires many parameters which represent different components of the process. Availability of all the parameters is difficult for any catchment and probabilistic generation of such type of data is impossible. Under such circumstances, artificial neural networks (ANNs) have proven to be a better tool to model the rainfall-runoff process with minimum available data. The present …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 2, 2014 · pp. 11–18 Read article
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Dynamic Testing Of Soft Computing Techniques
Abstract: Software Testing plays an crucial role in the software development lifecycle as it is used to enhance the quality and increase the reliability of software. Software testing successfulness is always determined on the basis of generated test cases and their prioritization. So, it consumes more effort, time and cost. Today, a huge number of soft computing based approaches are available for better exactness in testing. This paper aim is to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 31–39 Read article
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Generative AI for Designing Sustainable Polymer Composites for Renewable Energy Applications
Abstract: Sustainable polymer composites are increasingly required for renewable energy devices, yet conventional trial-and-error formulation cannot efficiently balance performance, processability, recyclability, and environmental constraints. This study proposes a generative artificial intelligence framework for designing polymer composites for photovoltaic encapsulation, dielectric energy storage, polymer electrolytes, and thermal-management systems. Public polymer-property and composite datasets were curated from open databases and published supplementary records. Chemical descriptors, molecular fingerprints, polymer embeddings, processing variables, and sustainability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1232–1257 Read article
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Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
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Recent Trends in Fluid Mechanics with Emphasis on Aeroacoustics and Flow-Induced Noise Control
Abstract: Fluid mechanics continues to evolve rapidly due to increasing demands in aerospace, automotive, energy, and environmental engineering applications. Recent trends in this field highlight significant advancements in both theoretical understanding and practical implementations, particularly in complex flow phenomena. Among these, aeroacoustics and flow-induced noise control have emerged as critical research areas due to their direct impact on system performance, efficiency, and environmental sustainability. Aeroacoustics deals with the generation, propagation, and …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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Predictive Modeling of Polymer Composites for Medical Implants Using Artificial Intelligence Techniques
Abstract: The use of polymers in biomaterials was now key to designing the next generation of medical implants, which need to be strong and also compatible with living tissue. Tests for biocompatibility, such as those done in the laboratory and by doing experiments on animals, require much time and many resources, so the need for computer-based approaches becomes clear. An artificial intelligence approach was provided in this study to determine how …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 665–692 Read article
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Generation of Online Quiz and Question Papers Using Shuffling Algorithm
Abstract: Generation of online quiz and question papers using shuffling algorithm system helps in education field (Colleges and Schools) to conduct online quiz easier and provide faster way of assessment and generate random set of question papers. The system is a web-based application system designed by using platform independent software Java, JSP and freeware database MYSQL. The system can work on any platform. The system will be useful for administrators, teachers …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 3, 2022 · pp. 34–48 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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Native Language Identification from Spoken Indian English
Abstract: Automatic speech recognition (ASR) systems that facilitate voice based search and information retrieval have gained importance recently. While the performance of ASR systems for Indian languages have improved in the recent past. They have yet to gain wide acceptability as much as the ASR systems for English spoken by Indians. Almost all Indians learn English as a second or third language. So, the phoneme set and the prosody of native …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 1–6 Read article
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IoT Based SCADA for Electrical Measurements and Control
Abstract: The suggested system's primary goal is to shield electrical equipment against malfunctions. Thesystem consists of various sensors that deployed strategically on electrical equipment. The data of theequipment is collected and transmitted to cloud platform through Node MCU ESP8266. The data issimultaneously displayed using LCD display. The collected data is splitted into train and test data.Train the machine learning model by using different algorithms. The best algorithm is chosen bycalculating their …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 2, 2023 · pp. 38–47 Read article
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Effects of Polypropylene Fibre on Strength of Geopolymer Concrete
Abstract: In the construction industry, the most vital parameter considered in the current scenario is the sustainable development of the structures. The most used material in construction is concrete, which is primarily made up of Portland cement. The production of Portland cement is nearly about 2.6 billion tonnes per year and is increasing at the rate of 5% annually. The concrete industry contributes about 5–8% of all human generated carbon dioxide …
Published in Recent Trends in Civil Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 23–31 Read article
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Fault Diagnostic Method of Transformers based on Hybrid ANN and Expert System
Abstract: Transformers are major equipments power system which affects not only the electrical energy availability of the area supplied, but also the economical operation of utilities. The most important concern about incipient faults in power transformer is that they may reduce the electrical and mechanical stress of the insulation. This proposed hybrid system utilizes dissolved gas in oil analysis techniques to diagnose for fault condition of power transformers. The Roger’s Four …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 1, 2014 · pp. 27–32 Read article
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In- silico Design of Novel Inhibitors for 5-HT2A Receptor to Recuperate Schizophrenia
Abstract: Schizophrenia is a mental disorder characterized by positive symptoms such as disorganized speech, delusions and hallucinations and negative symptoms such as deficits of attention, affective flattening and social withdrawal in nature. There are several receptor involve in schizophrenia, one of these 5-HT2A receptor i.e. serotonin receptor. The serotonin receptor 5-HT2A has been involved in several neurological conditions and potent 5-HT2A inhibitors have therapeutic effects that use for the treatment of …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 2, 2015 · pp. 11–17 Read article