Suppressing condensation frosting using micropatterned ice walls by Zuo, Zichao, Zhao, Yugang, Li, Kang, Zhang, Hua, Yang, Chun

“…To ensure vapor preferentially depositing on upper sidewalls, a critical ice wall height exists, below which fine ice grains initiate in the adjacent of the substrate base and grow substantially faster, compromising the anti-frosting performance. …”
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An enhanced deep reinforcement learning ensemble empowered by large language model by Li, Xinyi

“…At its core, LLM-DRE effectively processes and synthesizes disparate forms of market data to fine-tune trading strategies, enabling an enriched assessment of financial environments. …”
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Annotating videos that teach MS Excel and predicting mouse / keyboard actions by Tan, Genson Yao Jie

“…The research methodology involves exploring the limitations of fine-tuning Flan-T5 for this task, while also utilizing prompt engineering on Large Language Model (LLM) such as Llama 2 as an alternative method. …”
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Deep learning for fabric defect detection by Nangia, Saniya

“…The base models, YOLOv8 and RT-DETR, are fine-tuned on a dataset of patterned fabric defects to find the optimal model configurations. …”
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3D-printed mechano-optic force sensor for soft robotic gripper enabled by programmable structural metamaterials by Hegde, Chidanand, Mysa, Ravi Chaithanya, Chooi, Aaron, Dontu, Saikrishna, Tan, Joel Ming Rui, Wong, Lydia Helena, Valdivia y Alvarado, Pablo, Magdassi, Shlomo

“…The design supports seamless integration of the sensor into soft grippers, enabling 3D printing of the soft gripper with an embedded sensor in a single step, thus overcoming the tedious and complex and multiple fabrication steps commonly applied in conventional processes. The sensor boasts a fine resolution of 0.015 N, a measurement range up to 16 N, linearity (adj. …”
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ContrastSense: domain-invariant contrastive learning for in-the-wild wearable sensing by Dai, Gaole, Xu, Huatao, Yoon, Hyungjun, Li, Mo, Tan, Rui, Lee, Sung-Ju

“…In addition, ContrastSense designs a parameter-wise penalty to preserve domaininvariant knowledge during fine-tuning to further maintain model robustness. …”
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Hybrid superplastic forming of magnesium alloys by Sze, Swai Ming

“…However, this technology requires expensive materials with fine grain sizes and high temperature conditions with slow forming rates. …”
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Custom privacy guards in Android by Rindhe Akash Dnyaneshwar

“…LogicDroid is a custom Android OS that provides reinforced system security and fine-grained user-defined resource access. The operating principle of LogicDroid is based on a runtime kernel monitor module that detects privilege escalation attacks using an attack detection algorithm specified and modified by the user using an application called Security Controller. …”
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Friction stir processing of Mg by Ang, Wee Keong

“…Primary studies of FSP has been report that fine grained, homogenous and equiaxed microstructure are found in the processed region, in different friction stirred processing alloys. …”
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Optimization of aerosol jet printed strain sensor design via computational simulation by Wong, Chee Khong

“…In addition, it is capable in achieving fine pitch and high resolution printing for nanomaterial. …”
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Influence of nanoclay on the morphology of polypropylene foam by Chan, Weng Wan

“…The use of supercritical CO2 in the extrusion foaming of nanoclay composites was able to produce fine cells of less than10um. However, the melt strength of the nanocomposite PP was not able to withstand the foaming process and resulted in cell coalescence. …”
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Particles size-associated membrane fouling in microfiltration of denitrifying granules supernatant by Liu, Ya-Juan., Sun, Darren Delai

“…It was also found that the addition of calcium in SBRs could help to reduce concentrations of fine particles, colloids and soluble extracellular polymeric substances (sEPS), and subsequently led to the reduction of membrane fouling.…”
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Remarkably enhanced thermal transport based on a flexible horizontally-aligned carbon nanotube array film by Qiu, Lin, Wang, Xiaotian, Su, Guoping, Tang, Dawei, Zheng, Xinghua, Zhu, Jie, Wang, Zhiguo, Norris, Pamela M., Bradford, Philip D., Zhu, Yuntian

“…The removal of empty space rapidly increases the density of transport channels, and the replacement of the fine CNT tips with their cylindrical surface insures intimate contact at CNT-SiO2 interface. …”
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Single-step selective laser writing of flexible photodetectors for wearable optoelectronics by An, Jianing, Le, Truong-Son Dinh, Lim, Chin Huat Joel, Tran, Van Thai, Zhan, Zhaoyao, Gao, Yi, Zheng, Lianxi, Sun, Gengzhi, Kim, Young-Jin

“…Herein, by developing a single‐step selective laser writing strategy that can finely tailor material properties through incident photon density control and lead to the formation of hierarchical hybrid nanocomposites, e.g., reduced graphene oxide (rGO)–zinc oxide (ZnO), a highly flexible and all rGO–ZnO hybrid‐based photodetector is successfully constructed. …”
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Elastic modulus, hardness and creep performance of SnBi alloys using nanoindentation by Shen, Lu, Septiwerdani, Pradita, Chen, Zhong

“…At the intermediate stress region (200–370 MPa), dislocation climb is the dominant creep mechanism with stress exponents around 5–8. When fine lamellar structure is the dominant constituent of the microstructure, phase boundary sliding is identified as the rate-controlling mechanism in the low stress region (<200 MPa).…”
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RanDumb: random representations outperform online continually learned representations by Prabhu, A, Sinha, S, Kumaraguru, P, Torr, PHS, Sener, O, Dokania, PK

“…Extending our investigation to popular exemplar-free scenarios with pretrained models, we find that training only a linear classifier on top of pretrained representations surpasses most continual fine-tuning and prompt-tuning strategies. Overall, our investigation challenges the prevailing assumptions about effective representation learning in the online continual learning.…”

Cats and dogs by Parkhi, OM, Vedaldi, A, Zisserman, A, lawahar, CV

“…We investigate the fine grained object categorization problem of determining the breed of animal from an image. …”

Placing objects in context via inpainting for out-of-distribution segmentation by De Jorge, P, Volpi, R, Dokania, PK, Torr, PHS, Rogez, G

“…In our experiments, we present different anomaly segmentation datasets based on POC-generated data and show that POC can improve the performance of recent state-of-the-art anomaly fine-tuning methods across several standardized benchmarks. …”

Geometric martingale Benamou–Brenier transport and geometric Bass martingales by Backhoff, J, Loeper, G, Obłój, J

“…This allows us, in particular, to translate fine properties of the latter into the new geometric setting. …”

Additive manufacturing of tantalum scaffolds: processing, microstructure and process-induced defects by Aliyu, AAA, Poungsiri, K, Shinjo, J, Panwisawas, C, Reed, RC, Puncreobutr, C, Tumkanon, K, Kuimalee, S, Lohwongwatana, B

“…The x-ray diffraction (XRD) and microstructural investigation confirmed the presence of BCC Ta phase containing columnar, equiaxed and fine grains with roughness between 3.88 nm to 10.40 nm. …”