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2001
Measuring the hole-state anisotropy in MgB2 by electron energy-loss spectroscopy
Published 2011“…In particular, we have studied two different crystal orientations, [110] and [001], with respect to the incident electron beam direction, and found significant changes in the near-edge fine structure of the B K-edge. Density-functional theory suggests that the pre-peak of the B K-edge core loss is composed of a mixture of pxy- and pz-hole states and we will show that these contributions can be distinguished only with an experimental energy resolution better than 0.5 eV. …”
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Journal Article -
2002
Biometric contrastive learning for data-efficient deep learning from electrocardiographic images
Published 2024“…</p> <p><strong>Materials and Methods: </strong>Using pairs of ECGs from 78 288 individuals from Yale (2000-2015), we trained a convolutional neural network to identify temporally separated ECG pairs that varied in layouts from the same patient. We fine-tuned BCL-pretrained models to detect atrial fibrillation (AF), gender, and LVEF < 40%, using ECGs from 2015 to 2021. …”
Conference item -
2003
DEWP: deep expansion learning for wind power forecasting
Published 2024“…Accurate wind power forecasting (WPF) is then better achieved through fine-grained outputs by continuously removing stack residues and accumulating useful stack forecasts. …”
Journal article -
2004
Audio-based approaches in tuning retrieval of gamelan ensemble
Published 2021“…Three approaches used in retrieving tunings of gamelan are as follows: chladni patterns experiment using fine particle (sand), acoustic excitation from speaker for non-contact sinusoidal acoustic excitation and non-contact laser detector at specific eigen frequency, electronic speckle pattern interferometry (espi) for coherent addition of speckle fields diffracted by object and reference fields and laser doppler vibrometer (LDV) captured the vibration of the eigen frequency from the gong. …”
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Thesis -
2005
In vitro bioactivity and biocompatibility assessment of PCL/PLA–scaffolded mesoporous silicate bioactive glass: role of boron activation
Published 2024“…The role of boron concentration fine-tuning in modifying the glasses morphology, structure, Bioactivity and Biocompatibility was assessed in vitro by immersing them in simulated body fluid (SBF) at various durations. …”
Article -
2006
Photonic analog-to-digital conversion and photonic microwave signal generation
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Thesis -
2007
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2008
Intelligent database design for microgrids in low voltage distribution systems-I GUI and database design
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Final Year Project (FYP) -
2009
以“才”充“再”?以“再”充“才”?新加坡华语里“才”和“再”的使用情况 = Study of the usage of adverb cai and adverb zai in Singapore Chinese
Published 2009“…According to Lu Jianming, Zhang Chuhao, Qian Ping (2002) and Xing Fuyi (2005), Singapore Chinese users tend to replace adverb zai with adverb cai. …”
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Final Year Project (FYP) -
2010
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2011
Building AI Applications with ChatGPT APIs : Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects /
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software, multimedia -
2012
Facies analysis and depositional model of the middle-upper triassic Semantan formation, Central Pahang, Malaysia
Published 2022“…Seven (F1-7) facies have been identified which are; F1) poorly sorted conglomerate, F2) pebbly sandstone, F3) structureless-to-parallel laminated sandstone, F4) wavy-to-ripple fine-to-medium laminated sandstone, F5) slumped thin-interbeded sandstone and shale, F6) interbedded sandstone and shale, and F7) shale, represent a subordinate part of the Semantan Formation. …”
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Article -
2013
Current and future challenges of hybrid electrochemical-mechanical machining process for micro- and nano-manufacturing
Published 2024“…Through empirical, analytical, and numerical optimization methods, HEMM’s performance can be fine-tuned to meet specific requirements. Its applications span various fields, from microfluidics and micro-optics to aerospace and biomedical devices, underscoring its transformative potential in contemporary manufacturing. …”
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Conference or Workshop Item -
2014
Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes
Published 2025“…The K-fold cross-validation method was employed to fine-tune the hyperparameters of the ML models. Compared to other ML models, the artificial neural networks (ANN) model showed an outstanding rating of performance evaluation metrics, including R2, MSE, RMSE, and MRE. …”
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Article -
2015
Surface Compositions of Trojan Asteroids
Published 2024“…Mid-infrared emissivity spectra reveal the presence of fine-grained anhydrous silicates on the surfaces. …”
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Article -
2016
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Published 2024“…We conduct a broad range of experiments, covering zero-shot prompting, few-shot prompting, and instruction fine-tuning. The results indicate a promising yet limited performance of LLMs with zero-shot and few-shot prompt designs for mental health tasks. …”
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Article -
2017
Dominant contribution of oxygenated organic aerosol to haze particles from real-time observation in Singapore during an Indonesian wildfire event in 2015
Published 2019“…Simultaneously, we characterized carbonaceous components and organic aerosol (OA) tracers from fine PM (PM2.5) samples to support source apportionment of the online measurements. …”
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Journal Article -
2018
Punching shear strength analysis of corroded reinforcement concrete slab
Published 2020“…Moreover, internal tensile stress during corrosion tend to result in existing fine line or micro cracks to enlarge, resulting in increasing permeability of concrete and form a chain of interconnected defects. …”
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Final Year Project (FYP) -
2019
涂涂写写 = Alchemy of color and brushwork
Published 2020“…As brushwork strengthens the form, the three attributes of colors (namely tone, hue and chroma) are fine-tuned to either work with or against the results of the brushwork. …”
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Book -
2020
A multi-view context-aware approach to Android malware detection and malicious code localization
Published 2020“…Besides multi-view learning, MKLDroid’s unique and salient trait is its ability to locate fine-grained malice code portions in dependency graphs (e.g., methods/classes). …”
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Journal Article