Proceedings of Data Analytics and Management: ICDAM 2023, Volume 4

Effect of hydrophobic soils on infiltration by Tong, Wan Yi

“…The fine sand layer was then replaced by hydrophobic fine sand to study the effect of hydrophobicity on the infiltration. …”
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Quantifying and analysing the non-collective bargaining benefits of NTUC by Neo, Aaron Chun Boon

“…The paper also made recommendations to NTUC on how informative advertising and regular review on the benefits in accordance to preference can to reduce asymmetric information and more importantly help the union to maintain a pink state of membership numbers…”
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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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Human machine interface/brain control for electric vehicles application by Tang, Tao

“…Secondly, the same design methodology is extended to a 16-channel TDM/CS AFE with tunable DC-servo loop and fine-trimming input impedance boosting loop. A 4-bit calibrated impedance boosting loop contributed to the input impedance of 560 MΩ as well as CMRR for input interface. …”
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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. …”

Developing a tongue coating index for Traditional Chinese Medicine by Choy, Meng Xuan

“…Approach 1, where L-a-b values of each tongue region were compared with those of the tongue tip, and Approach 2, where L-a-b values of each tongue region were compared with those of the ideal tongue color (Pink). Results obtained show that Approach 1 was more consistent with visual perception of post-corrected tongue images in the database. …”
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2002 Gujarat : a laboratory of institutionalized riots by Vinay Kumar Pathak

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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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Truthteller. by Kaur, Sharan.

“…This is the story of one man’s struggle against a close-minded minority community. Satnam Singh is a 55-year old Sikh man with a hidden past. …”
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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. …”

Field instrumentation for performance assessment of Geobarrier System by Rahardjo, Harianto, Qian, Zhai, Satyanaga, Alfrendo, Leong, Eng Choon, Wang, Chien Looi, Wong, Johnny Liang Heng

“…The saturated hydraulic conductivity of a coarse-grained material is normally higher than that of a fine-grained material. However, the unsaturated hydraulic conductivity of the coarse-grained material decreases much faster than that of the fine-grained material with increasing matric suction and consequently the coarse-grained material can be less permeable than the fine-grained material in unsaturated condition. …”
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Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks by Zhang, Zhengyan, Xiao, Guangxuan, Li, Yongwei, Lv, Tian, Qi, Fanchao, Liu, Zhiyuan, Wang, Yasheng, Jiang, Xin, Sun, Maosong

“…The pre-training-then-fine-tuning paradigm has been widely used in deep learning. …”
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Build a Large Language Model (From Scratch) / by Raschka, Sebastian, author 656094

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Technological transmission of knowledge in Neolithic northwestern China: mineralogical and chemical analyses of Yangshao and Majiayao painted ware by Spataro, M, Hein, A

“…The analyses were carried out to detect differences or similarities in the chaînes opératoires of ceramic production at the three sites, in particular, to examine the clay types selected to make the three main categories of wares for which Yangshao and Majiayao are known, namely painted fine wares, burnished fine wares, and unpainted coarse wares. …”

Mechanistic cutting force model for ball-end milling by Girsang, Irving Paul.

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WiFi and vision multimodal self-supervised learning for human activity recognition by Tang, Shijie

“…In this context, we propose a novel Multimodal Pretrain fine-tune (MPF) network architecture for device-free human activity recognition using commercial WiFi-enabled IoT devices and cameras. …”
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Utilization of oil contaminated sand for green asphalt concrete production by Ng, Ye Han

“…The objective of this research is to study the feasibility of Oil Contaminated Sand (OCS) usage as a replacement of certain percentage of fine aggregates in Hot Mix Asphalt (HMA) for road construction. …”
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Low-cost incubator for live-cell imaging by Goh, Rui Si

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