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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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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Harnessing Instability Mechanisms in Airfoil Flow for Data-Driven Forecasting of Extreme Events by Barthel, Benedikt, Sapsis, Themistoklis P.

“…These extreme excursions may be seen as prototypical of the kind of unsteady and intermittent dynamics relevant to the flow around airfoils and wings in a variety of real-world applications. Here we investigate the instability mechanisms at the heart of these extreme events, and how they may be harnessed for efficient data-driven forecasting. …”
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Morphing structures by Tan, Sharon Si Ying.

“…This report will focus on application of smart materials, namely Smart Memory Polymer (SMP) and Smart Memory Alloy (SMA) in the area of morphing wings. In this report, there will be four distinct designs that make use of smart materials in different ways to create geometric changes to a wing. …”
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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. …”

Finite element analysis on post-buckling of thin-walled structures using ANSYS by Theint, Yi Mon

“…The results obtained were checked against experimental data and led to the development and the revision of design procedures for the pin-ended lipped column and hollow box section.…”
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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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HiPIMS deposition of VO2 thermochromic coating for enhanced optical properties by Vu, Tuan Duc

“…The Greta-oto butterfly has transparent wings with extraordinary omnidirectional anti-reflection behaviour, owing to the unusual nanostructures with random height and space distribution on its wing surface which are difficult to reproduce en masse. …”
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Design and Implementation of Active Antennas for IoT-Based Healthcare Monitoring System by MUSA, UMAR, MOHD SHAH, SHAHARIL, A. MAJID, HUDA, AHMAD MAHADI, ISMAIL, A. RAHIM, MOHAMAD KAMAL, YAHYA, MUHAMMAD SANI, ZAINAL ABIDIN, ZUHAIRIAH

“…Two dual-band (2.4 GHz and 5.8 GHz) microstrip patch antennas, one with a PIN diode and one without, are fabricated using Rogers Duroid RO3003™ substrate. …”
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Design and Implementation of Active Antennas for IoT-Based Healthcare Monitoring System by MUSA, UMAR, MOHD SHAH, SHAHARIL, A. MAJID, HUDA, MAHADI, ISMAIL AHMAD, A. RAHIM, MOHAMAD KAMAL, YAHYA, MUHAMMAD SANI, ZAINAL ABIDIN, ZUHAIRIAH

“…Two dual-band (2.4 GHz and 5.8 GHz) microstrip patch antennas, one with a PIN diode and one without, are fabricated using Rogers Duroid RO3003™ substrate. …”
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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. …”

A Deep-Learning Surrogate Model Approach for Optimization of Morphing Airfoils by Karbasian, Hamidreza, van Rees, Wim M.

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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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Properties of copper slag concrete by Zhang, Weide

“…This report investigated the mechanical properties of high strength concrete incorporating copper slag as fine aggregates. The rising need for alternative fine aggregates substitution of sand is essential due to its high materials cost and the emphasis on sustainable concrete. …”
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Automated teller machines in Singapore by Soh, Yong Chee, Phua, Alice Loo Huay, Tan,Yang Leng

“…Activation of ATMs can also be enhanced by substituting the present A TM card and PIN system with either voice recognition, retina recognition or thumbprints. …”
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Neural abstractive summarization: improvements at the sequence-level by Ravaut, Mathieu

“…With enough data, pre-trained Transformer-based sequence-to-sequence models can be fine-tuned and achieve strong performance on abstractive summarization benchmarks. …”
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Leveraging linguistic knowledge to enhance low-resource NLP applications by Zhu, Zixiao

“…Specifically, 1. In the promptless fine-tuning paradigm, we first focus on fine-tuning word embeddings for task-related words, thereby enriching the conceptual knowledge available to compositional neural networks during feature learning in emotion recognition. …”
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