11 hasil untuk "Samson Tan"
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Artikel Jurnal Teks lengkap
Machine Learning for Building Code Waiver Assessment: A Predictive Analytics Framework from 197 Singapore BCA Cases (2021–2023)
Building code waiver assessments in Singapore remain largely discretionary, relying on case officers’ subjective judgement with limited decision-support tooling. This study presents the first machine learning framework for predicting building code waiver outcomes, trained on 197 historically…
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Artikel Jurnal Teks lengkap
AI-Driven Optimization of Sanitary Facilities in Office Buildings: A Machine Learning Approach Using LSTM Neural Networks
This study introduces an artificial intelligence-based approach to planning sanitary facilities in buildings, with a focus on long short-term memory neural networks. By examining factors like occupancy patterns, daily fluctuations, and building-specific characteristics, the model delivers…
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Artikel Jurnal Teks lengkap
Predicting Shot Accuracy in Badminton Using Quiet Eye Metrics and Neural Networks
This paper presents a novel approach to predicting shot accuracy in badminton by analyzing Quiet Eye (QE) metrics such as QE duration, fixation points, and gaze dynamics. We develop a neural network model that combines visual data from eye-tracking devices with biomechanical data such as body…
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Artikel Jurnal Teks lengkap
The Ignition Frequency of Structural Fires in Australia from 2012 to 2019
Appropriate estimates of ignition frequency derived from fire statistics are crucial for quantifying fire risks, given that ignition frequency underpins all probabilistic fire risk assessments for buildings. Rahikainen et al. (Fire Technol 2004; 40:335–53) utilized the generalized Barrois model to…
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Artikel Jurnal Teks lengkap
War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education
Developments in the chatbot space have been accelerating at breakneck speed since late November 2022. Every day, there appears to be a plethora of news. A war of competitor chatbots is raging amidst an AI arms race and gold rush. These rapid developments impact higher education, as millions of…
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Artikel Jurnal Teks lengkap
ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?
ChatGPT is the world’s most advanced chatbot thus far. Unlike other chatbots, it can create impressive prose within seconds, and it has created much hype and doomsday predictions when it comes to student assessment in higher education and a host of other matters. ChatGPT is a state-of-the-art…
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Artikel Jurnal Teks lengkap
Impact of Technical, Human, and Organizational Risks on Reliability of Fire Safety Systems in High-Rise Residential Buildings—Applications of an Integrated Probabilistic Risk Assessment Model
The current paper presents an application of an alternative probabilistic risk assessment methodology that incorporates technical, human, and organizational risks (T-H-O-Risk) using Bayesian network (BN) and system dynamics (SD) modelling. Seven case studies demonstrate the application of this…
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Artikel Jurnal Teks lengkap
Sensitivity and Uncertainty Analyses of Human and Organizational Risks in Fire Safety Systems for High-Rise Residential Buildings with Probabilistic T-H-O-Risk Methodology
Given that existing fire risk models often ignore human and organizational errors (HOEs) ultimately leading to underestimation of risks by as much as 80%, this study employs a technical-human-organizational risk (T-H-O-Risk) methodology to address knowledge gaps in current state-of-the-art…
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Artikel Jurnal Teks lengkap
Probabilistic Risk Assessment of Grid-Scale Lithium-Ion Battery Energy Storage System Fire Hazards: Hydrogen Fluoride (HF) Toxicity, Suppression Effectiveness, and Comparative Compartment Design Analysis
Battery Energy Storage Systems (BESS), utilising chemistries based on Nickel Manganese Cobalt (NMC) containing lithium-ion devices, often present fire safety hazards that existing qualitative risk frameworks, including NFPA 855’s 5 × 5 consequence-likelihood matrix, are insufficiently granular to…
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Artikel Jurnal Teks lengkap
Explainable Artificial Intelligence (XAI)-Enabled Probabilistic Fire Risk Prediction for High-Rise Residential Buildings: SHAP Attribution of Human and Organisational Risks
Fire safety in high-rise residential buildings depends on active fire protection systems subject to technical, human, and organisational risks. Prior probabilistic models incorporating human and organisational errors (HOEs) raise expected risk-to-life by 20 to 37%, yet remain inaccessible to the…
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Artikel Jurnal
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Data augmentation is an important method for evaluating the robustness of and enhancing the diversity of training data for natural language processing (NLP) models. In this paper, we present NL-Augmenter, a new participatory Python-based natural language (NL) augmentation framework which supports…