Showing 121 - 140 results of 227 for search '(invasion OR inversion) of the (band OR based)', query time: 0.12s Refine Results
  1. 121

    Effect of growth temperature on the terahertz-frequency conductivity of the epitaxial transparent conducting spinel NiCo2O4 films by Chia, Elbert E. M., Silwal, Punam, La-o-vorakiat, Chan, Kim, Dae Ho, Talbayev, Diyar

    Published 2014
    “…We have measured the terahertz-frequency optical conductivity of the epitaxial inverse spinel NiCo2O4 films grown at different temperatures. …”
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    Journal Article
  2. 122

    Tsewang Norbu NGB by Cantwell, C, Mayer, R

    Published 2025
    “…Occasionally, the boundaries of a text may not be entirely clear, and we have made case by case editorial decisions based on a number of considerations, including previous scholarship on the text(s) in question, but most importantly, making some attempt to represent what appears to be the understanding of our edition's compilers. …”
    Dataset
  3. 123

    Generative pretrained autoregressive transformer graph neural network applied to the analysis and discovery of novel proteins by Buehler, Markus J

    Published 2024
    “…We report a flexible language-model-based deep learning strategy, applied here to solve complex forward and inverse problems in protein modeling, based on an attention neural network that integrates transformer and graph convolutional architectures in a causal multi-headed graph mechanism, to realize a generative pretrained model. …”
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    Article
  4. 124

    Generative discovery of de novo chemical designs using diffusion modeling and transformer deep neural networks with application to deep eutectic solvents by Luu, Rachel K, Wysokowski, Marcin, Buehler, Markus J

    Published 2024
    “…In addition to separate forward and inverse models, we also report an integrated fully prompt-based multi-task generative pretrained transformer model that solves multiple forward, inverse design, and prediction tasks, flexibly and within one model. …”
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    Article
  5. 125

    Modeling and FES control of human movement with threshold control theory by Lan, Li

    Published 2011
    “…Our study aims to build a physiology-based control model of the human motor system. In the perspective of control engineering, an ideal controller is expected to drive the complex motor system without solving the “inverse dynamics problem”. …”
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    Thesis
  6. 126

    Towards depth-resolved multi-cubic-centimeter field of view endoscopic camera for intraoperative nerve identification. by Yoon, Yong-Chul

    Published 2024
    “…For these reasons, fluorescence-based nerve visualization has not yet been clinically adopted. …”
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    Thesis
  7. 127

    Respiratory quality indices for automated monitoring of respiration from sensor data by Birrenkott, D

    Published 2018
    “…This is primarily because of the lack of a non-invasive, robust, automated method for estimating RR. …”
    Thesis
  8. 128

    Investigations into high resolution imaging and contouring for diagnostic bio-applications by Valiyambath, Krishnan Mohankumar

    Published 2016
    “…A novel RGB grayscale value based spectral shift approach was successfully developed for easy identification of abnormality based on biochemical signature differences that can be identified optically, namely fluorescence. …”
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    Thesis
  9. 129

    Brain-controlled games and applications by Chen, Desheng

    Published 2016
    “…BCI devices come in various types; one such type uses electroencephalography (EEG). An EEG-based device is usually noninvasive, which means it measures brain activity from a person’s scalp, unlike invasive BCI devices that require surgical procedures to be planted on a human brain directly. …”
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    Final Year Project (FYP)
  10. 130

    The role of circulating tumor DNA in melanomas of the uveal tract by Zameer, MZ, Jou, E, Middleton, M

    Published 2024
    “…Recently, advances in minimally-invasive liquid biopsy techniques and biomarkers such as circulating tumor DNA (ctDNA) have demonstrated potential to transform the field of cancer care by aiding diagnosis, prognosis and monitoring of various cancer types. …”
    Journal article
  11. 131

    Time frequency analysis of functional MR images by Arun Kumar

    Published 2014
    “…The first presented method, based on χ2 random field, uses the fundamental frequency and its first higher harmonic. …”
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    Thesis
  12. 132

    Learning-enabled decision-making for autonomous driving: framework and methodology by Huang, Zhiyu

    Published 2023
    “…In the cost module, we focus on learning personalized cost functions underlying human driving behaviors using inverse reinforcement learning (IRL). We propose a maximum entropy IRL algorithm that infers the reward function based on a structural assumption about discrete latent intentions guiding continuous low-level control actions. …”
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    Thesis-Doctor of Philosophy
  13. 133

    Quantitative analysis of coronary artery from computed tomography angiography images by Cui, Hengfei

    Published 2016
    “…Most commonly, diameter stenosis is measured because of the popularity of projection-based invasive angiography, which is measured as the ratio of the reduction in vessel diameter to the proximal normal diameter [4]. …”
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    Thesis
  14. 134

    Sensing signal conditioning circuit design and analysis for emerging pressure sensing technology by Lim, John Jia Song

    Published 2017
    “…Using the high performance LTSPICE simulator, SPICE models were made based of the traits of the selected materials to simulate the electrical characteristics of the sensors. …”
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    Final Year Project (FYP)
  15. 135

    Hadoop on data analytics by Gee, Denny Jee King.

    Published 2012
    “…Next, we grouped the remaining words into their respective intervals, together with their tweet frequency distributions, and constructed time series signals based on their Document Frequency – Inverse Document Frequency (DF-IDF) vector through chaining a sequence of MapReduce jobs on Hadoop framework. …”
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    Final Year Project (FYP)
  16. 136

    G-cleave LC3B biosensor: monitoring autophagy and assessing resveratrol's synergistic impact on doxorubicin-induced apoptosis in breast cancer cells by Liao, C, Long, Y, Tsai, M, Lin, C, Hsu, K, Lee, C

    Published 2024
    “…In this study, we developed a non-invasive autophagy detection system (NIADS-autophagy, also called G-cleave LC3B biosensor) by integrating a split-luciferase-based biosensor with an LC3B cleavage sequence, which swiftly identified classic autophagic triggers, such as Earle's Balanced Salt Solution and serum deprivation, through protease-mediated degradation pathways. …”
    Journal article
  17. 137

    Gaussian processes for probabilistic estimates of earthquake ground shaking: a 1-D proof-of-concept by Scivier, SA, Nissen-Meyer, T, Koelemeijer, P, Baydin, AG

    Published 2024
    “…Owing to the non-uniqueness of the seismic inverse problem, typically many velocity models exist for any given region. …”
    Conference item
  18. 138

    Deep tissue blood perfusion assessment using diffuse speckle contrast analysis : a validation study by Lin, Nanda Myaing

    Published 2014
    “…Non-invasive blood flow measurement in deep tissue level is critical for the clinical blood perfusion assessment during angioplasty procedure. …”
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    Thesis
  19. 139

    Uncovering vein patterns from color skin images for personal identification in forensic investigation by Tang, Chaoying

    Published 2013
    “…Based on this approach we develop four optical models for simulating skin color formation. …”
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    Thesis
  20. 140

    ECG analysis of ventricular fibrillation dynamics reflects ischaemic progression subject to variability in patient anatomy and electrode location by Martinez-Navarro, H, Bertrand, A, Doste, R, Smith, H, Tomek, J, Ristagno, G, Oliveira, RS, Weber dos Santos, R, Pandit, SV, Rodriguez, B

    Published 2024
    “…Within the context of clinical reference values, apex-anterior and apex-posterior electrode configurations were the most discriminatory in stratifying VF based on the underlying ischaemic substrate. Conclusion: This in silico study provides further insights into non-invasive patient-specific strategies for assessing acute ventricular arrhythmias. …”
    Journal article