Deep Learning Multimodal Extraction of Reaction Data by Wang, Alex

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Web-based speech recognition platform - SG decoding by Tan, Hui Zhan

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Stress analysis of defence hole ststem for a uniaxially loaded plate using boundary element method by Tan, Philip Aik Lim

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On-premise cloud deployment of ASR system by Yap, Jonathan Zher Hao

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Development of Android app for Fourier Analysis by Ng, Amos How Kai

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Development of iOS apps for matrix operations by Neo, Peiqi

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Laboratory and field measurement of dispersion curves using surface wave methods by Tan, Roy Guan Ming.

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Improvement on fishing friendly structure (FFS) retrieval process by Huang, Hui.

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Jurong island groundwater study : yield enhancement through surface water recharge by Quah, Cheng Hui.

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Development of 3D models and animations For 3D displays by Zainal Abidin Chia Muhd Zaki Chia

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Innovations in Digital Forensics / by Majumdar, Suryadipta, editor 656300, Shirani, Paria, editor 656301, Wang, Lingyu, editor 243972, World Scientific (Online service) 655444

“…In particular, it focuses on cloud forensics, Internet-of-Things (IoT) forensics, and network forensics, elaborating on innovative techniques, including algorithms, implementation details and performance analysis, to demonstrate their practicality and efficacy. …”
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Exciton Dynamics and Anisotropy in 2D Metal Organochalcogenolate Semiconductors by Lee, Woo Seok

“…First, we present the synthesis, structural and optical properties of 2D AgEPh (E = S, Se, Te) single crystals, colloidal nanocrystals, and thin films. Importantly, the growth of millimeter-sized single crystalline 2D AgEPh (E = S, Se, Te) enables their crystal structure determination via single crystal X-ray diffraction: AgSPh in P2₁, AgSePh in P2₁/c, and AgTePh in P2₁/c. …”
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Suppressed deep traps and bandgap fluctuations in Cu2CdSnS4 solar cells with ≈8% efficiency by Hadke, Shreyash, Levcenko, Sergiu, Gautam, Gopalakrishnan Sai, Hages, Charles J., Márquez, José A., Izquierdo-Roca, Victor, Carter, Emily A., Unold, Thomas, Wong, Lydia Helena

“…Cu2ZnSn(S,Se)4-based solar cells have shown promising power conversion efficiencies in recent years, but their performance remains inferior compared to other thin-film solar cells. Moreover, the fundamental material characteristics that contribute to this inferior performance are unclear. …”
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Perovskite superstructures and heterostructures for enhanced optical performance by Chan, Wen Kiat

“…The SSs drop-casted onto thin films produce ultrapure green emissions, demonstrating the potential for device fabrication in display applications. …”
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Study of lithium-ion battery anodes based on silicon nanostructures by Fan, Yu

“…As a result, the composite anode shows quite good capacity retention and rate performance, significantly better than a conventional Si thin film anode with the same amount of amorphous Si loading. …”
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Analysis and exploitation of dispersive waves for source localization on solids by Arun, Kattukandy Rajan

“…The challenge of this research lies in the fact that transverse propagating waves on a thin elastic plate are dispersive in nature. As opposed to wave propagation in a non-dispersive medium such as air, a dispersive medium results in a wave propagation speed that is frequency dependent. …”
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In2Se3-based two-dimensional photocatalysts for water-splitting by Wong, CCY

“…Transmission electron microscopy (TEM) and atomic force microscopy (AFM) confirmed the thin-sheet like morphology with around 10-50 layers of In₂Se₃. …”

Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models by Shen, Xu, Wang, Yili, Zhou, Kaixiong, Pan, Shirui, Wang, Xin

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A training algorithm and stability analysis for recurrent neural networks by Xu, Zhao, Song, Qing, Wang, Danwei, Fan, Haijin

“…Besides, the transient response of learning process of RNNs is a critical issue, especially for on-line applications. Conventional RNNs training algorithms such as the backpropagation through time (BPTT) and real-time recurrent learning (RTRL) have not adequately satisfied these requirements because they often suffer from slow convergence speed. …”
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PPARβ/δ prevents endoplasmic reticulum stress-associated inflammation and insulin resistance in skeletal muscle cells through an AMPK-dependent mechanism by Salvadó, Laia, Barroso, Emma, Gómez-Foix, Anna Maria, Palomer, Xavier, Michalik, Liliane, Wahli, Walter, Vázquez-Carrera, Manuel

“…Methods Studies were conducted in mouse C2C12 myotubes, in the human myogenic cell line LHCN-M2 and in skeletal muscle from wild-type and PPARβ/δ-deficient mice and mice exposed to a high-fat diet. …”
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