Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan by Arora, Vinay, Ng, Eddie Yin Kwee, Leekha, Rohan Singh, Darshan, Medhavi, Singh, Arshdeep

“…The experimentation has been carried out using benchmark datasets like SARS-COV-2 CT-Scan and Covid-CT Scan. To mark COVID-19 as positive or negative for the improved CT scan, existing pre-trained models such as XceptionNet, MobileNet, InceptionV3, DenseNet, ResNet50, and VGG (Visual Geometry Group)16 have been used. …”
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Insight into the dynamics of fluid conveying tiny particles over a rotating surface subject to Cattaneo–Christov heat transfer, Coriolis force, and Arrhenius activation energy by Ali, Bagh, Nie, Yufeng, Hussain, Sajjad, Habib, Danial, Abdal, Sohaib

“…Tiny particles are considered due to their unusual characteristics like extraordinary thermal conductivity, which are significant in advanced nanotechnology, heat exchangers, material sciences, and electronics. …”
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The growing pains of e-commerce business in Africa by Gopaldas, Ronak

“…The burgeoning industry has seen the birth of homegrown e-commerce platforms such as Jumia (Nigeria), Takealot (South Africa) and Kilimall (Kenya), and the market’s potential has not gone unnoticed by bigger international players like Amazon, Alibaba, Shein and even Facebook, all of whom are positioning themselves for a piece of the e-commerce pie. …”
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Exploring sequential VAE to handle time-series data by Tan, Colin G-Hao

“…This means that we want the VAE to not only learn the important features present in the data, but also to capture the temporal differences between consecutive data points in the latent space, which could be useful for tasks like out-of-distribution (OOD) detection. Ultimately, the results of this project hope to be able to improve the task of OOD detection, by proposing architectures that are able to perform well at the task.…”
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Machine learning for 3D reconstruction of tree roots by Lim, Nikki Zhi Li

“…In this project, a novel deep learning framework to extract the features and 3D reconstruct root architectures from GPR data is proposed. Techniques like domain adaptation are also implemented to aid in the process. …”
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Multimodal deception detection in videos by Syazwan Bin Jainal

“…Deception detection has been successful in high-stakes situations, like courtrooms, where subjects are put under a stressful situation and experiments have yielded an accuracy of over 90%. …”
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Design and development of a web-based platform for EEE MSc student orientation by Soo, Serena Keng Shuang

“…The main aim of the web application is for students to have cultural exchanges, to explore Singapore, and to engage in school life by forming interest groups with like-minded peers.…”
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Sketch animation based on sketch-annotated key-frame in normal video by Lee, Tian Hui.

“…In order to develop the program, intensive research has been done on various motion estimation techniques like optical flow, box matching and pel-recursion algorithm. …”
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Ultrafast laser pulse repetition rate dependent switching of nonlinearity in water by Perumbilavil, Sreekanth, Sandeep, C. S. Suchand, Matham, Murukeshan Vadakke

“…For repetition rates beyond 100 kHz, the nonlinearity gets reversed, where water tends to behave more like a saturable absorber with a weak three-photon absorption component.…”
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A war in all but name: expanding the timeline of conflict in the Malayan emergency by Ho, Benjamin

“…Some narratives favour the influence of external factors like global and regional political movements, while others prefer to give precedence to local players in the Emergency. …”
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Seed dispersal pattens of large-seeded trees in the forests of Singapore by See, James Zhe Yuan

“…Seed dispersal is integral for the continued persistence of trees, as successful dispersal reduces competition for seedlings and allows for greater access to resources like space, light, and nutrients. However, for large-seeded animal-dispersed trees in environments that have lost their large animal dispersers (megafauna), their underlying dispersal mechanisms and the extent of their dispersal are not entirely clear. …”
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Deep learning for fabric defect detection by Nangia, Saniya

“…While traditional models like convolutional neural networks can identify larger defects on solid-coloured fabrics, they are unable to accurately identify smaller defects, especially on a variety of patterned and textured fabrics. …”
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Between parental practices and values: children’s free will beliefs are associated with their parents' autonomy granting but not authoritarian values by Lee, Clyde Jing Yi

“…These findings underscore the importance of autonomy granting in fostering children’s understanding of choice and whether they can choose to do something that they do not like or something that is hard for them within the socio-cultural context of Singapore. …”
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Upcycling of homogeneous food waste in 3D printing food inks by Lim, Fiona Xin Ying

“…In this study, we explored various hydrocolloids (sodium alginate, kappa carrageenan, and thermoplastic starch) alongside different food wastes like butterhead lettuce, okara, sesame cake, and brewer’s spent grain to develop food waste inks. …”
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Development of a system to analyze fake news by Sankpal, Shibani Prashant

“…The models were also tested with news articles gathered from news sources like The Straits Times, BBC, CNN, Channel News Asia (CNA) and CNBC. …”
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Electrical characterization of polymeric semiconductors for printed and flexible electronics by David John Antonio Daileg Maulit

“…These factors include the choice of organic material constituents and the addition of additives like solvents and ionic liquids, which have the potential to enhance the electrical and mechanical properties of the chosen organic material. …”
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Multiple object tracking using deep learning by Zhang, Bohan

“…DeepSORT represents an early deep learning-based object tracking model, while StrongSORT builds upon this foundation, introducing enhancements like AFLink and Gaussian Smooth Interpolation (GSI) to improve tracking accuracy further. …”
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Optimized coil and current flow designs for wireless charging containers with improved even magnetic flux density distribution by Liang, Rui, Wang, Kaiyuan, Sun, Zhen, Zeng, Junming, Liu, Siyang, Wu, Huihuan, Yang, Yun

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Unmanned aerial vehicle (UAV) vision: tiny object detection by Dai, Yalun

“…However, detecting tiny objects within aerial imagery remains a significant challenge due to factors like low resolution, scale variation, and non-uniform data distribution. …”
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Airbus A380 : a risk management framework by Appasaheb Naikal

“…Airbus witnessed an eighteen month delay in the delivery of A380 due to several reasons like wiring problems; non-compatibility of software’s used at different factories of Airbus, etc. …”
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