Deep learning approach to cervical segmentation from routine CT images by Duan, Yiming

“…To address the sequential and location-dependent nature of bone segmen tation information, the dissertation proposes a pre-training model for location information, and combines 2.5D image input and labeled multi-channel coding to semantically segment 3D cervical spine CT images. This method can accu rately extract the information of bone joint location of slices and incorporate it into image features in the form of channels, which can improve the accuracy of multiple bone joint segmentation and classification. …”
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Measuring membrane capacitance during a depolarizing stimulus by Chen, Peng., Gillis, Kevin., Xue, Renhao., Pui, Tze Sian.

“…It is critical to resolve the highly dynamic kinetic steps along the molecular cascade of exocytosis in order to pin down the specific actions of regulatory molecules and eventually decipher this complex and fundamental process.…”
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Indoor localization using Wi-Fi by Siswanto, Hadi

“…All models are evaluated using data collected from several reference points on block N4, North Spine, Nanyang Technological University. A simple Android application is developed to assist data collection. …”
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Development of a counter-UAV system by Tang, Wen Yue

“…Upon testing, the firing pin mechanism was found to be unable to reliably puncture the CO2 canister, even after improvements. …”
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Lessons from a retrospective look at India’s upstream sector by Elango, P

Soil-water characteristic curves of hydrophobic sand by Tan, Nicole Shi Qi

“…In this project, the effect of hydrophobicity is investigated using fine and coarse sands. Fine sand was made hydrophobic and mixed with either fine or coarse sand such that sand mixtures of hydrophobicity 20%, 50% and 80% by mass were obtained. …”
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Swept-source Raman spectroscopy of chemical and biological materials by Song, Jeonggeun, So, Peter T. C., Yoo, Hongki, Kang, Jeon Woong

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Nanyang Technological University indoor map by Tsui, Chung Lok

“…The indoor map was only built for academic buildings in North Spine. Continuation of the project will see for the expansion to include all other buildings on the campus, both academic and non-academic, and for additional useful information, such as camera live feed, to be integrated. …”
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Intelligent network design driven by big data analytics, IoT, AI and cloud computing by Kumar, Sunil, Mapp, Glenford, Cengiz, Korhan

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Knowledge and attitude of lower back pain among nursing students in Universiti Sains Malaysia, Kelantan by Osman, Nur Asmida

“…It is the pain in your lower back which may come from the spine, muscle, nerves or other nearby structure. …”
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Structural performance of recycled aggregate concrete-filled stainless steel tube columns by Tan, Chia Wei

“…The experiment involved 12 RACFSST columns tested under pin-ended condition, as well as material tests and initial global geometric imperfection measurements. …”
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Design and 3D printing of reconfigurable structures by Teo, Ee Hian

“…The structure is made up of single modular units being repeatedly fixed together, this leads to the structure to isolate single modular units that are damaged, allowing it to be easily pin-pointed and replaced by fabricating another similar single unit, this cut cost as the structure can be salvaged by replacing a single unit instead of the whole structure.…”
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Tie the knot - a step by step wedding planner by Alex Arvin S Susaipillai

“…The creation comprises essential management tools such as wedding checklist, reminders, budget tracker, guestlist, online electronic invitation and RSVP system with SMS function, seating plan, calendar function, vendor list, pin board, wedding day scheduler and chat function…”
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Investigation of the contribution of bioaerosol loading to indoor PM pollution on university campus in Singapore by Lee, Brandon Jia Hao

“…Fine particles could be mitigated safely for occupants with an electrostatic precipitator and future work could expound on elevated fungi concentrations in an indoor environment and fine particle mitigation strategies.…”
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Interpreting learned feedback patterns in large language models by Marks, L, Abdullah, A, Neo, C, Arike, R, Krueger, D, Torr, P, Barez, F

“…To test this, we train probes to estimate the feedback signal implicit in the activations of a fine-tuned LLM. We then compare these estimates to the true feedback, measuring how accurate the LFPs are to the fine-tuning feedback. …”

Prevalence of lumbosacral transition vertebrae in symptomatic adults and the levels of degeneration in the suprajacent disc by Song, Joshua, Betzler, Brjan Kaiji, Kaliya-Perumal, Arun-Kumar, Oh, Jacob Yoong-Leong

“…Retrospectively, 545 patients (Age = 57.6 ± 18.3 years; Male = 277; Female = 268) who underwent radiographic evaluation of the lumbar spine for lower back pain or radicular symptoms were shortlisted. …”
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Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification by R, Vishnupriya, Robinson, Neethu, M, Ramasubba Reddy

“…Transfer learning methods such as adaptation or fine-tuning can be used on the pre-trained model to improve the performance. …”
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Planetary Imaging Concept Testbed Using a Recoverable Experiment-Coronagraph (PICTURE C) by Cook, T., Cahoy, K., Chakrabarti, S., Douglas, E., Finn, S. C., Kuchner, M., Lewis, N., Marinan, A., Martel, J., Mawet, D., Mazin, B., Meeker, S. R., Mendillo, C., Serabyn, G., Stuchlik, D., Swain, M.

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Living with fibrodysplasia ossificans progressiva: radiological images of a patient with extensive heterotopic ossification by Mohammed Mostafa Kotb, Omar, Usama Farghaly, Kaliya-Perumal, Arun-Kumar

“…Radiographic evaluation with X-rays and CT scans revealed scoliosis and total fusion of almost all levels of the spine, with only a few disc spaces spared. A large mass of heterotopic bone was observed, corresponding to the location of the paraspinal muscles in the lumbar region, branching upwards and fusing with the scapulae on both sides. …”
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SimSC: a simple framework for semantic correspondence with temperature learning by Li, X, Han, K, Wan, X, Prisacariu, VA

“…We discover that when fine-tuning ImageNet pre-trained backbone on the semantic matching task, L2 normalization of the feature map, a standard procedure in feature matching, produces an overly smooth matching distribution and significantly hinders the fine-tuning process. …”