Showing 201 - 220 results of 221 for search 'Exponential ability', query time: 0.11s Refine Results
  1. 201

    Healthcare professionals’ perspectives on artificial intelligence (AI)-based mobile applications (apps) for diabetes education and behavioural management by Phei-Ching Lim, Yung-Wey Chong, Qiu-Ting Chie, Hadzliana Zainal, Kok-Lim Alvin Yau, Soo-Huat Teoh

    Published 2025-03-01
    “…However, significant concerns were raised about accessibility for older adults, data privacy, and the apps’ ability to modify entrenched behaviours without human intervention. …”
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  2. 202

    A high-resolution map of coastal vegetation for two Arctic Alaskan parklands: An object-oriented approach with point training data. by Celia J Hampton-Miller, Peter N Neitlich, David K Swanson

    Published 2022-01-01
    “…We classified the map segments using Random Forest because of its high accuracy, computational speed, and ability to incorporate non-normal, high-dimensional data. …”
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    Article
  3. 203

    Video swin-CLSTM transformer: Enhancing human action recognition with optical flow and long-term dependencies. by Jun Qin, Shenwei Chen, Zheng Ye, Jing Liu, Zhou Liu

    Published 2025-01-01
    “…As video data volumes soar exponentially, the significance of video content analysis, particularly Human Action Recognition (HAR), has become increasingly prominent in fields such as intelligent surveillance, sports analytics, medical rehabilitation, and virtual reality. …”
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    Article
  4. 204

    Impairment of mitochondrial unfolded protein response contribute to resistance declination of H2O2‐induced injury in senescent MRC‐5 cell model by Tzu‐Ying Lee, Li‐Ju Huang, Huei‐Ping Dong, Yoshioka Tohru, Bo‐Hong Liu, Rei‐Cheng Yang

    Published 2020-02-01
    “…Senescent cells are considered to be less resistant to cellular stress stimuli than exponentially growing cells. In this study, we aimed to investigate the ability of mitochondrial stress response in senescent cells to cope with the accumulation of mitochondrial unfolded proteins induced by hydrogen peroxide (H2O2) and to understand the relevant molecular mechanisms. …”
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    Article
  5. 205

    Reduced-Order Decomposition and Coordination Approach for Markov-Based Stochastic Unit Commitment With Distributed Wind Farms by Niranjan Raghunathan, Zongjie Wang, Mikhail A. Bragin, Peter B. Luh, Bing Yan, Tianqiao Zhao, Meng Yue

    Published 2025-01-01
    “…The simulation results demonstrate the ability of our method to obtain robust and cost-effective solutions to the MSUC in a constrained time frame.…”
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    Article
  6. 206

    Revolutionizing clean energy labs: Robotic imitation learning for efficient fabrication AI-powered electrical units assembly platform by Xi Xu, Yijun Gu, Tianyi Zhang, Jiwen Yu, Stephen Skinner

    Published 2025-09-01
    “…The material (LBSF) was DFT-predicted to have high oxygen reduction reactions (ORRs) ability, suitable for the cathode in SOFCs compared to the conventional (LSF). …”
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  7. 207
  8. 208

    Numerical analysis of energy loss in a laboratory-scale tandem double cylinders based on entropy production method by Han Liang, Zhumei Luo, Tao Guo, Juan Duan, Jun Li, Xia Ren, Ye Li

    Published 2025-02-01
    “…In the lower branch, the entropy production loss increases exponentially, resulting in a significant decrease in the captured hydrokinetic energy PVIV and efficiency ηVIV of the two cylinders. …”
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    Article
  9. 209

    Approximated 2-Bit Adders for Parallel In-Memristor Computing With a Novel Sum-of-Product Architecture by Christian Simonides, Dominik Gausepohl, Peter M. Hinkel, Fabian Seiler, Nima Taherinejad

    Published 2024-01-01
    “…Conventional computing methods struggle with the exponentially increasing demand for computational power, caused by applications including image processing and machine learning (ML). …”
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    Article
  10. 210

    Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks by Emmanuel M. Gonzalez, Ariyan Zarei, Sebastian Calleja, Clay Christenson, Bruno Rozzi, Jeffrey Demieville, Jiahuai Hu, Andrea L. Eveland, Brian Dilkes, Kobus Barnard, Eric Lyons, Duke Pauli

    Published 2024-12-01
    “…The objective of this work was to implement various machine learning algorithms to evaluate their ability to accurately detect and quantify CRS in red‐green‐blue images of sorghum plants exhibiting symptoms of infection. …”
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    Article
  11. 211

    探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

    Published 2024-09-01
    “…Through a series of instructional videos, in-class exercises, discussion forums, and other interactive features, an appropriate self-regulated learning mechanism was developed to guide learners toward effective autonomous learning. The exponential growth of big data in recent years has positioned artificial intelligence as a focal point of inquiry across various fields. …”
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  12. 212

    The Targeted Metabolomic Signatures of Phytohormones in Leaves of Mulberry (<i>Morus alba</i> L.) Are Crucial for Regrowth and Specifically Modulated by the Differential Stubble Le... by Haonan Li, Michael Ackah, Frank Kwarteng Amoako, Aaron Tettey Asare, Jianbin Li, Zhenjiang Wang, Qiang Lin, Changyu Qiu, Mengdi Zhao, Weiguo Zhao

    Published 2025-04-01
    “…Vegetative propagation of mulberry (<i>Morus alba</i> L.) via sapling methods, due to the ability to exponentially multiply lateral buds on stem cuttings to enhance rapid shoot formation, is crucial for sericulture industries. …”
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  13. 213
  14. 214

    Monitoring of total and off-road NO<sub><i>x</i></sub> emissions from Canadian oil sands surface mining using the Ozone Monitoring Instrument by C. A. McLinden, C. A. McLinden, D. Griffin, V. Fioletov, J. Zhang, E. Dammers, C. Adams, C. Adams, M. Loria, M. Loria, N. Krotkov, L. N. Lamsal, L. N. Lamsal

    Published 2025-06-01
    “…Two related emissions methods were utilized, one for point and one for area sources, where OMI vertical column densities of NO<span class="inline-formula"><sub>2</sub></span> were combined with winds from a meteorological reanalysis and a two-dimensional exponentially modified Gaussian (EMG) plume model. This work better connects the two (point and area) emissions methods and discusses the interpretation of fit parameters and the ability of OMI (and other sensors) to resolve emissions between neighbouring sources.…”
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  15. 215

    MSA-3D: Dissecting Galaxies at z ∼ 1 with High Spatial and Spectral Resolution by Ivana Barišić, Tucker Jones, Kris Mortensen, Themiya Nanayakkara, Yuguang Chen, Ryan Sanders, James S. Bullock, Kevin Bundy, Claude-André Faucher-Giguère, Karl Glazebrook, Alaina Henry, Mengting Ju, Matthew Malkan, Takahiro Morishita, Danail Obreschkow, Namrata Roy, Juan M. Espejo Salcedo, Alice E. Shapley, Tommaso Treu, Xin Wang, Kyle B. Westfall

    Published 2025-01-01
    “…Our results demonstrate the ability of JWST slit-stepping to study galaxy populations at intermediate to high redshifts, with data quality similar to current surveys of the z ∼ 0.1 Universe.…”
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  16. 216

    Evaluating Factors Affecting Interior Architectural Space Quality to Enhance Spatial Resilience and Human Productivity: An Application of Maslow’s Hierarchy of Needs by Moharam Ghahremani Drvish, Farhang Mozafar, Ceyed bagher Hoseini, Fateme Mahdizadeye seraj

    Published 2025-06-01
    “…It can be said that human perception is at the center of any environmental behavior because it is the source of all environmental information. Resilience is the ability to bounce back, endure hardship, cope well, hang on to a lifeline, survive well, recover well, show strength, endure hardship (without breaking), be resourceful, and keep moving forward despite setbacks. …”
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  17. 217

    Strategies to alleviate flickering: Bayesian and smoothing methods for deep learning classification in video by Noah Miller, Glen Ryan Drumm, Lance Champagne, Bruce Cox, Trevor Bihl

    Published 2024-12-01
    “…Computer vision (CV) for video classification provides phenomenal abilities, but it often suffers from “flickering” of results. …”
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    Article
  18. 218

    Chaotic sequences based watermarking wireless physical layer security authentication algorithm by CHEN Songlin

    Published 2025-07-01
    “…In recent years, wireless mobile consumers have also grown exponentially. Due to the openness and broadcasting of the wireless networks, it is easier for unauthorized users to disguise themselves as legitimate users to launch spoofing attacks, resulting in insecurity in the low-altitude industry. …”
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  19. 219

    On the predictability limit of convection models of the Earth's mantle by Léa Bello, Nicolas Coltice, Tobias Rolf, Paul J. Tackley

    Published 2014-06-01
    “…Because of the chaotic nature of convection in the Earth's mantle, errors in initial conditions grow exponentially with time and limit forecasting and hindcasting abilities. …”
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  20. 220

    Groundwater Level Prediction and Earthquake Precursor Anomaly Analysis Based on TCN-LSTM-Attention Network by Xinfang Chen, Lijia Yang, Xin Liao, Hanqing Zhao, Shiwei Wang

    Published 2024-01-01
    “…Experiments show that the designed model has strong abilities in predicting groundwater levels and identifying earthquake precursor anomalies. …”
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    Article