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21 results for “initial training”
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Research ArticleOpen accessIn the keywordsNew Comer Orientation Training in Manufacturing Industry: A Comparison Analysis Between Indonesian Company and Japanese CompanyWen-Chih Liao, Sulistio Handayani, Szu-Min ChienProblem statement: Organization must constantly expands their knowledge, skills and behavior to meet customer need and compete in today’s demanding and rapidly changing business environment. As there are many foreign company in Indonesia, this research is attempt to understand how the Japanese ownership companies in Indonesia makes its new comer orientation training program differ with original Indonesian company. Approach: The … …American Journal of Economics and Business Administration, Vol. 3, Issue 4 · 20 Feb 2012 · 7,132 accessesView PDFCite
Research ArticleOpen accessIn the abstractError Identification and Mitigation Analysis Method Using HFACS on VR HMDNkingo June Thomas, Yan SuHuman error has long been recognized as a key factor influencing safety, performance, and efficiency in complex tasks, including those involving advanced technologies. In the context of Virtual Reality (VR) Head-Mounted Displays (HMDs), which are increasingly applied in fields such as aviation maintenance, the presence of human errors can compromise both user experience and operational reliability. This paper presents a … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 24 Nov 2025 · 2,937 accessesView PDFCite
Research ArticleOpen accessIn the abstractA GUI-Enabled, Automated LSTM-Based Inverse Kinematics Pipeline for 6-DOF Robotic Arms Using MATLAB and CoppeliaSimWaleed Abdulrahman Saleh Al-Akwa, Mohammed Abdulwahab Ahmed DabaExisting deep learning-based inverse kinematics (IK) solutions often target specific robotic arms and require significant modifications when applied to different configurations. To support early-phase design and testing of 6-degree-of-freedom (6-DOF) robotic arms, this study presents a fast and adaptable IK solution through a user-friendly interface. Unlike traditional numerical methods that are computationally intensive, sensitive to initial conditions, and may not … …Journal of Mechatronics and Robotics, Vol. 9, Issue 1 · 26 May 2025 · 8,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Attention-Based Stacked Bi-LSTM Model for Automated MultiImage CaptioningPaspula Ravinder, Saravanan SrinivasanIn recent days, the process of medical image captioning is become a prominent field. The distinct characteristics of medical imaging data provide a number of challenges when captioning medical images. Also, the variability in image modalities makes it difficult to generate an effective captioning process. Thus, the proposed study aims to design a novel Multi-image Captioning Hybrid Attention Model to … …Journal of Computer Science, Vol. 21, Issue 4 · 8 Mar 2025 · 5,157 accessesView PDFCite
Research ArticleOpen accessIn the abstractOrigin Detection of Illicium Verum Hook. f. Based on Sensor Array OptimizationPang Tao, Lv Lu, Chen Xiaoyan et al.In order to improve the identification ability of electronic nosetostar anise from different areas, this study uses sensor array optimization, Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) to effectively improve the discrimination and prediction ability of electronic nose. Firstly, the initial sensor arrays are selected according to the aroma components of star anise. On the basis of extracting … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 21 Jan 2022 · 6,434 accessesView PDFCite
Review ArticleOpen accessIn the abstractEffective Strategies for Promoting Foundational Literacy and Numeracy in Early Childhood EducationNimish Vasoya, Rajesh VansdadiyaAbstract: This research article explores effective strategies for promoting foundational literacy and numeracy in early childhood education. The abstract can be improved by enhancing its clarity, structure, and depth: Many children encounter challenges with foundational literacy and numeracy skills during their initial years of schooling, impacting their overall academic success. Through an extensive review of existing literature, this study identifies … …Journal of Social Sciences, Vol. 19, Issue 1 · 25 Oct 2023 · 9,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Risk of Diabetes using a Model based on Multilayer Perceptron and Features ExtractionFrancesca Fallucchi, Alessandro CabroniDiabetes (diabetes mellitus) is a disease emerging when a person has a high blood sugar level for a prolonged period. In the healthcare context, one of the most important topic is the prevention of the disease. This study relates to diabetes prevention. In particular, it aims to produce random generated datasets according to a rule named Finnish Diabetes Risk Score … …Journal of Computer Science, Vol. 17, Issue 9 · 7 Sep 2021 · 6,580 accessesView PDFCite
Research ArticleOpen accessIn the abstractCyclic Instability of Shape-Memory Alloys in Seismic Isolation SystemsFilipe Amarante dos Santos, Corneliu Cismasiu, Francisco Braz FernandesShape-memory alloys are being progressively introduced as kernel components in seismic retrofitting devices for civil engineering structures. In order to control the instability associated with the first mechanical cycles, a training procedure is usually implemented, which stabilizes the superelastic behavior of the alloy. This paper addresses the characterization of the cyclic behavior of an austenitic NiTi alloy with emphasis on … …International Journal of Structural Glass and Advanced Materials Research, Vol. 2, Issue 1 · 7 Jan 2018 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractGENETIC ALGORITHM AND NEURAL NETWORK FOR OPTICAL CHARACTER RECOGNITIONHendy Yeremia, Niko Adrianus Yuwono, Pius Raymond, Widodo BudihartoComputer system has been able to recognize writing as human brain does. The method mostly used for character recognition is the backpropagation network. Backpropagation network has been known for its accuracy because it allows itself to learn and improving itself thus it can achieve higher accuracy. On the other hand, backpropagation was less to be used because of its time … …Journal of Computer Science, Vol. 9, Issue 11 · 19 Sep 2013 · 7,646 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Implications of Teacher Effectiveness Requirements for Initial Teacher Education ReformS. G. PretoriusProblem statement: School effectiveness research shows that teacher effectiveness is the single most important school-based factor in student success. The effects of poor teaching linger and can be measured for at least three years after students have left the classroom. It is too late to wait until secondary school level for backlogs to be eradicated. Education systems, such as the … …Journal of Social Sciences, Vol. 8, Issue 3 · 26 Mar 2012 · 9,481 accessesView PDFCite