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73 results for “field-testing”
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Research ArticleOpen accessIn the keywordsEvaluation of Environmental and Hydraulic Performance of Bio-Composite Revetment BlocksThamer A. Mohamed, Nor A. Alias, Abdul H. Ghazali, Mohd. S. JaafarIt is necessary to develop a concrete revetment block which can cater for environment and at the same time it will be effective in protecting river banks (stabilize the slope of banks) from scouring during flood. In the present study, the environmental and hydraulic performance of the proposed revetment block was evaluated through laboratory and field tests. The tested revetment … …American Journal of Environmental Sciences, Vol. 2, Issue 4 · 31 Dec 2006 · 6,967 accessesView PDFCite
Research ArticleOpen accessIn the keywordsValidation of Some Bridge Pier Scour Formulae Using Field and Laboratory DataThamer A. Mohamed, Megat J.M.M. Noor, Abdul H. Ghazali, Bujang B.K. HuatEstimation of maximum local scour depth at the bride pier site is necessary for the safety and economy of the designed bridge. Numerous formulae are available and almost all of these formulae were developed based on laboratory data. Validation of these formulae is necessary in order to ascertain which of the formulae will give a reasonable estimate of the local … …American Journal of Environmental Sciences, Vol. 1, Issue 2 · 30 Jun 2005 · 7,826 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 733 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Machine Learning Algorithm for Resilient Higher-Order Mutant GenerationSubhasish Mohanty, Jyotirmaya Mishra, Sudhir Kumar Mohapatra et al.In the field of software engineering, ensuring the reliability androbustness of software is paramount, and software testing plays a criticalrole in this process. Mutation testing, a fault-based technique, evaluates theeffectiveness of test suites by introducing artificial defects, known asmutants, into programs. This research presents a novel method forgenerating higher-order mutants (HOMs) using the Chemical ReactionOptimization (CRO) algorithm, which enhances the … …Journal of Computer Science, Vol. 21, Issue 5 · 20 May 2025 · 8,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling User Experience in Delivery Applications Using the Design Thinking Method and System Usability ScaleKevin Christianto, Aziza Chakir, Johanes Fernandes Andry et al.Technological developments bring comfort and ease to users in accessing applications. Companies need to design systems that are centered on human needs to create technology that is competitive in the market, especially in the field of expeditions. The problem that arises in the sea cargo expedition company is that master data recording is still done manually, which has an impact … …Journal of Computer Science, Vol. 20, Issue 7 · 17 Apr 2024 · 5,999 accessesView PDFCite
Research ArticleOpen accessIn the abstractTesting Composite Valve Covers for Reciprocating Engine ApplicationsPeng Hao Wang, Natalie ZimmermannThe use of composites within the aeronautical field is not limited to airframe applications and includes powerplant components in reciprocating engines. To add to the research body in this area, the presented work aimed to evaluate the performance of novel carbon fiber valve covers installed on an aircraft reciprocating engine. Specifically, the comparative performance between novel composite-based valve covers and … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 12 Aug 2022 · 5,836 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization-Based Feature Selection and Ensemble Machine Learning Algorithms for Breast Cancer ClassificationSatyabrata Patro, Jyotirmaya Mishra, Bhavani Sankar PandaBreast cancer, which originates in a woman's breast tissue, is acknowledged to be a significant study topic in the medical field. For a long time, there has been a serious concern with the classification of breast cancer. Thus, to effectively categorize the breast cancer dataset, machine learning methods are designed and implemented. In previous research, the algorithms have classification accuracy … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,172 accessesView PDFCite
Research ArticleOpen accessIn the abstractRoboBrew: The Fully Autonomous Coffee MachineAnthony Achkar, Maroun Hannoun, Rita Younes et al.Robotics has emerged in several domains in the current century. However, in the restoration field, mainly in coffee shops, applications are still limited. Therefore, RoboBrew presents a groundbreaking fully automated system poised to transform the restaurant and coffee industries into a new era. At its core, RoboBrew features an advanced coffee maker system designed to deliver exceptional performance. This system … …Journal of Mechatronics and Robotics, Vol. 8, Issue 1 · 1 Oct 2024 · 8,515 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,262 accessesView PDFCite