Additive manufacturing of tantalum scaffolds: processing, microstructure and process-induced defects by Aliyu, AAA, Poungsiri, K, Shinjo, J, Panwisawas, C, Reed, RC, Puncreobutr, C, Tumkanon, K, Kuimalee, S, Lohwongwatana, B

“…The x-ray diffraction (XRD) and microstructural investigation confirmed the presence of BCC Ta phase containing columnar, equiaxed and fine grains with roughness between 3.88 nm to 10.40 nm. …”

Python extension for a convolution neural network accelerator by Pattanapong Khaopaibul Wu Jing Han

Get full text

Chinese poem generation using natural language processing by Wang, Jihan

Get full text

One-stop application for scrapbooking by Zhou, Wanxuan

Get full text

Data analytics accessibility and predictability in Singapore’s rail sector by Chia, Ethan Cheng Wai

Get full text

Exploring the (im)possibilities of multicultural solidarity in Singapore by Koh, Seth Xi Liang

Get full text

The power stage design of class - D amplifier by Su, Li Wei

Get full text

Fabrication and characterization of flexible-conductive nanocomposites by Lau, Jun Jie

Get full text

Fabrication of newspaper-based nickel cobaltite nanosheet supercapacitor by Lee, Wei Chin

Get full text

The genetic and epigenetic architecture of sexual dimorphism in tilapia by Wan, Zi Yi

“…Analysis of brain transcriptomes identified 124, 55 and 2706 sex-biased genes at 5, 30 and 90 days post hatch, respectively. The pro-opiomelanocortin (pomc) gene, which was female-biased in the brain, was selected for functional analysis. pomc knock-out zebrafish showed faster growth and higher sensitivity to feeding compared to wildtype. …”
Get full text

Moonchild. by Chan, Yin Wan., Chong, Sara Shuzhen.

Get full text

Static and cyclic behavior of steel beams retrofitted with fiber reinforced polymer laminates by Yu, Yi

Get full text

Improvement of power quality and system performance using energy storage systems by Ho, Peng Leong.

Get full text

Self-assembly of shape-controlled nanoparticles into tunable two- dimensional metasurfaces at the oil- water interface by Yang, Yijie

“…In the above works, we study the interfacial behavior by understanding the interaction between particle surface and two liquid phase. In Chapter 5, we study the particle-particle interaction to achieve the control over assembled structure by using two surface ligands with similar bulk wettability.…”
Get full text

Dynamical blockade in a single-mode bosonic system by Ghosh, Sanjib, Liew, Timothy Chi Hin

“…We find that the underlying mechanism for the blockade is general, enhancing antibunching in the strongly nonlinear regime and inducing it in the weakly nonlinear regime, without fine-tuning the system parameters. Moreover, this mechanism shows advantages over existing blockade mechanisms and is suitable for implementation in a wide variety of systems due to its simplicity and universality.…”
Get full text
Get full text

Physics-informed machine learning for green data center operations by Wang, Ruihang

“…The evaluation shows that our approach saves 5.7% to 13.8% power usage compared with conventional feedback control and adapts 8x to 10x faster than native fine-tuning with at most 0.74C temperature overshoot. …”
Get full text

Raw GNSS measurements from smartphones by Nguyen, Hong Duc

“…From the results, the average errors of static experiments were in the range of 5-10 meters comparing to the ground-truth positions and 5-10 meters comparing to device A-GPS during moving receiver test. …”
Get full text

Characterization of nickel-titanium based thin films crystallized by fast and ultra-fast annealing methods by Motemani Sharabiani, Yahya

“…Amorphous as-deposited thin-film samples were crystallized by local heating at a rate of approximately 1.6×104 oC/sec, resulting in an ultra-fine (18 ± 5 nm) grain structure. The (Ti,Hf)-rich Ti-Ni-Hf alloy compositions with Ni contents below ~ 49.3 at.% exhibited the martensite-austenite transformation. …”
Get full text

Generative artificial intelligence : exploring the power and potential of generative AI / by Solanki, Shivam R., author 654859, Khublani, Drupad K., author, SpringerLink (Online service)

“…Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. …”
Get full text

Public opinion trend analysis on nuclear energy via aspect-based sentiment analysis methods by Huang, Fan

“…In general, we built a system based on the ABSA Deep Learning model to make fine-grained and topic-specific sentiment analyses on public opinion trends. …”
Get full text