Showing 241 - 260 results of 1,382 for search '(("wrapping" OR "grasping") OR ("trapping" OR "mapping"))', query time: 0.11s Refine Results
  1. 241

    Unraveling microglial spatial organization in the developing human brain with DeepCellMap, a deep learning approach coupled with spatial statistics by Perochon, T, Krsnik, Z, Massimo, M, Ruchiy, Y, Romero, AL, Mohammadi, E, Li, X, Long, KR, Parkkinen, L, Blomgren, K, Lagache, T, Menassa, DA, Holcman, D

    Published 2025
    “…Here, we present DeepCellMap, a deep-learning-assisted tool that integrates multi-scale image processing with advanced spatial and clustering statistics. …”
    Journal article
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    Enhancing Landsat image based aboveground biomass estimation of black locust with scale bias-corrected LiDAR AGB map and stratified sampling by Qin, Shuhong, Wang, Hong, Li, Xiuneng, Gao, Jay, Jin, Jiaxin, Li, Yongtao, Lu, Jinbo, Meng, Pengyu, Sun, Jing, Song, Zhenglin, Donev, Petar, Ma, Zhangfeng

    Published 2023
    “…In this study, we first corrected the bias arising from upscaling the LG-AGB map to match the spatial resolution of Landsat observations. …”
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    Journal Article
  4. 244

    Dna markers and mapping of quantitative trait loci for yield and bunch quality in Deli dura X Yangambi pisifera oil palm (Elaeis guineensis) population by Seng, Tzer Ying

    Published 2015
    “…A total 804 segregating marker loci (489 SSRs, 307 AFLPs and 8 PCR-RFLP) were used for final linkage analysis and map construction. The map of DA41 (ARK86D X ML161P) was 2398.8 cM long with 512 marker loci (368 SSRs, 135 AFLPs and 9 PCR-RFLPs), at an average 32 markers and a range of 15-59 markers per linkage group, and an average map density of 5cM. …”
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    Thesis
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    Task-orientated human-robot teleoperation using wearable sensors by Teoh, Yee Seng

    Published 2016
    “…In gripping task experiment, the robot is controlled to grasp different size and shape of objects and place them into 4-spaced cupboard, where the robot required turning in certain orientation while grasping and dropping the object. …”
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    Final Year Project (FYP)
  16. 256

    J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry by Eibeck, Andreas, Lim, Mei Qi, Kraft, Markus

    Published 2021
    “…For this, we utilize a knowledge graph to store and link semantically described data and models and create agents wrapping the applications and updating the data in the knowledge graph dynamically. …”
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    Journal Article
  17. 257

    Twofold by Tan, Raychel Yixin

    Published 2014
    “…In a sense, it can be considered a new branding identity for Chinese tea culture and in hopes to incorporate the drinking and enjoyment of tea into our modern living environment. The wrapping of Japanese aesthetic onto the packaging concept is a fusion between the two countries to bring out the Asian influences with regards to the evolution of tea.…”
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    Final Year Project (FYP)
  18. 258

    Broadband absorption enhancement for InAsSb-based mid-infrared photodetectors by Wang, Weilin

    Published 2020
    “…By simulating the reflection and absorption of devices w/o photon-trapping structure, significant reflection reduction is observed, and a relative absorption improvement of about 40% is reached for photon-trapping devices in the mid-wavelength region between 2 and 5 μm. …”
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    Thesis-Master by Coursework
  19. 259

    Motion planning of robotic manipulation: developing a framework for efficient path planning and obstacle avoidance by Tan, Yan Wen

    Published 2024
    “…By using computer vision, data acquired from the camera was processed and sent to the ROS2 controller to plan a path for the robotic arm to successfully grasp various common objects at different positions and orientations. …”
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    Final Year Project (FYP)
  20. 260

    Three dimensional acoustic tweezers with vortex streaming by Li, Junfei, Crivoi, Alexandru, Peng, Xiuyuan, Shen, Lu, Pu, Yunjiao, Fan, Zheng, Cummer, Steven A.

    Published 2021
    “…Acoustic tweezers based on single-beam focused acoustic vortices have attracted considerable attention due to their selective trapping capability, but have proven difficult to use for three-dimensional (3D) trapping without a complex transducer array and significant constraints on the trapped particle properties. …”
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    Journal Article