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

“…The decrease in transformation temperature is caused by the fine nano-scale structure in Ti-Ni-Hf thin samples. …”
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Hybrid free space optics/radio frequency communication for next generation wireless networks by Sharma, Shubha

“…Therefore, to improve the performance of FSO links, it is wise to backup with reliable millimeter-wave (MMW) radio frequency (RF) links. …”
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Privacy-preserving graph representation learning by Lan, Xin

“…Graph neural networks in particular, as a novel kind of link prediction method, can extract hidden link information from accessible network data in the field of link prediction. …”
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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. …”

Optimization Algorithms for Multi-species Spherical Spin Glasses by Huang, Brice, Sellke, Mark

“…We first show how to efficiently achieve the algorithmic threshold energy identified in our companion work (Huang and Sellke in arXiv preprint, 2023. <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://arxiv.org/abs/2303.12172">arXiv:2303.12172</jats:ext-link>), thus confirming that the Lipschitz hardness result proved therein is tight. …”
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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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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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Product design for manufacture and assembly methodologies by Lu, Joyce Ruizhi.

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Enabling basic motion behaviors on irobot create by Du, Xinxin.

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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. …”

Isolation of Spirosoma foliorum sp. nov. from the fallen leaf of Acer palmatum by a novel cultivation technique by Han, Ho Le, Nurcahyanto, Dian Alfian, Muhammad, Neak, Lee, Yong-Jae, Nguyen, Tra T. H., Kim, Song-Gun, Chan, Sook Sin, Khoo, Kuan Shiong, Chew, Kit Wayne, Show, Pau Loke, Tran, Thi Ngoc Thu, Nguyen, Thi Dong Phuong, Chiu, Chen Yaw

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Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks by Chakraborty, Debasrita, Goswami, Debayan, Ghosh, Susmita, Ghosh, Ashish, Chan, Jonathan H., Wang, Lipo

“…A study is conducted by building four models pre-trained on COVID-19 data from four different countries (United States of America, Brazil, Spain, and Bangladesh) and fine-tuned on India's data. Since the four countries chosen have experienced different types of infection curves, the pre-training provides a transfer learning to the models incorporating diverse situations into account. …”
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Health and disease phenotyping in old age using a cluster network analysis by Valenzuela, Jesus Felix, Monterola, Christopher, Tong, Victor Joo Chuan, Ng, Tze Pin, Larbi, Anis

“…We show, by way of a correspondence analysis between the two sets of clusters, that they correspond to coarse-grained and fine-grained structure of the network relationships. …”
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Modeling and improvement of tracked based vehicle by Yeo, Nick Xi Liang.

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Small-island interactions: pottery from Roman Malta by Anastasi, M

“…These data were also fed into a series of network analyses, which plotted the common pottery links shared between small-island and mainland sites in the region. …”

Design and analysis of P-cycle-based survivable optical networks by Zhang, Zhen Rong

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