Gotowa bibliografia na temat „Timing Irregularity”
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Artykuły w czasopismach na temat "Timing Irregularity"
Tahara, Yu, Saneyuki Makino, Takahiko Suiko, Yuki Nagamori, Takao Iwai, Megumi Aono i Shigenobu Shibata. "Association between Irregular Meal Timing and the Mental Health of Japanese Workers". Nutrients 13, nr 8 (13.08.2021): 2775. http://dx.doi.org/10.3390/nu13082775.
Pełny tekst źródłaHoopes, Elissa, Michele D'Agata, Talia Brookstein-Burke, Shannon Robson, Melissa Witman, Susan Malone i Freda Patterson. "0003 On the Same Wavelength? Quantifying the Associations between Eating Timing and Rest-Activity Rhythms in Free-Living Adults". Sleep 45, Supplement_1 (25.05.2022): A1—A2. http://dx.doi.org/10.1093/sleep/zsac079.002.
Pełny tekst źródłaChristodoulou, Chris, i Aristodemos Cleanthous. "Does High Firing Irregularity Enhance Learning?" Neural Computation 23, nr 3 (marzec 2011): 656–63. http://dx.doi.org/10.1162/neco_a_00090.
Pełny tekst źródłaScott, H., B. Lechat, A. Reynolds, N. Lovato, P. Escourrou, P. Catcheside i D. Eckert. "O040 Associations between Sleep Irregularity and Hypertension: Sleep Sensor Data from Over Two Million Nights". SLEEP Advances 3, Supplement_1 (1.10.2022): A17. http://dx.doi.org/10.1093/sleepadvances/zpac029.039.
Pełny tekst źródłaKulmanakov, Sergey P., i Sergey A. Tyutikov. "Assessment of influence of the Common Rail system high-pressure fuel pump design on regularity of fuel supply to a fuel accumulator". Tractors and Agricultural Machinery 89, nr 4 (27.01.2023): 255–62. http://dx.doi.org/10.17816/0321-4443-108775.
Pełny tekst źródłaToffol, Elena, Päivikki Koponen, Riitta Luoto i Timo Partonen. "Pubertal timing, menstrual irregularity, and mental health: results of a population-based study". Archives of Women's Mental Health 17, nr 2 (26.11.2013): 127–35. http://dx.doi.org/10.1007/s00737-013-0399-y.
Pełny tekst źródłaWitham, Claire L., i Stuart N. Baker. "Information theoretic analysis of proprioceptive encoding during finger flexion in the monkey sensorimotor system". Journal of Neurophysiology 113, nr 1 (1.01.2015): 295–306. http://dx.doi.org/10.1152/jn.00178.2014.
Pełny tekst źródłaSafargaleev, V., A. Kozlovsky, F. Honary, A. Voronin i T. Turunen. "Geomagnetic disturbances on ground associated with particle precipitation during SC". Annales Geophysicae 28, nr 1 (22.01.2010): 247–65. http://dx.doi.org/10.5194/angeo-28-247-2010.
Pełny tekst źródłaStahl, John S., i Zachary C. Thumser. "Flocculus Purkinje cell signals in mouse Cacna1a calcium channel mutants of escalating severity: an investigation of the role of firing irregularity in ataxia". Journal of Neurophysiology 112, nr 10 (15.11.2014): 2647–63. http://dx.doi.org/10.1152/jn.00129.2014.
Pełny tekst źródłaMathew, Gina, David Reichenberger, Orfeu Buxton, Lauren Hale i Anne-Marie Chang. "140 Short and Long Sleep Duration, Poor Sleep Quality, and Later Sleep are Associated with Lower Odds of Adolescents Eating Breakfast". Sleep 44, Supplement_2 (1.05.2021): A58. http://dx.doi.org/10.1093/sleep/zsab072.139.
Pełny tekst źródłaRozprawy doktorskie na temat "Timing Irregularity"
Aghanavesi, Somayeh. "Smartphone-based Parkinson’s disease symptom assessment". Licentiate thesis, Högskolan Dalarna, Mikrodataanalys, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:du-24925.
Pełny tekst źródłaCissoko, Mamadou Ben Hamidou. "Adaptive time-aware LSTM for predicting and interpreting ICU patient trajectories from irregular data". Electronic Thesis or Diss., Strasbourg, 2024. https://publication-theses.unistra.fr/restreint/theses_doctorat/2024/CISSOKO_MamadouBenHamidou_2024_ED269.pdf.
Pełny tekst źródłaIn personalized predictive medicine, accurately modeling a patient's illness and care processes is crucial due to the inherent long-term temporal dependencies. However, Electronic Health Records (EHRs) often consist of episodic and irregularly timed data, stemming from sporadic hospital admissions, which create unique patterns for each hospital stay. Consequently, constructing a personalized predictive model necessitates careful consideration of these factors to accurately capture the patient's health journey and assist in clinical decision-making. LSTM networks are effective for handling sequential data like EHRs, but they face two significant limitations: the inability to interpret prediction results and to take into account irregular time intervals between consecutive events. To address limitations, we introduce novel deep dynamic memory neural networks called Multi-Way Adaptive and Adaptive Multi-Way Interpretable Time-Aware LSTM (MWTA-LSTM and AMITA) designed for irregularly collected sequential data. The primary objective of both models is to leverage medical records to memorize illness trajectories and care processes, estimate current illness states, and predict future risks, thereby providing a high level of precision and predictive power
Streszczenia konferencji na temat "Timing Irregularity"
Ohsuga, Mieko, i Hidenori Boutani. "Detection of a Decrease in Concentration Using Indices Derived from Heart Rate and Respiration Toward Affective Human-Robot Interaction". W Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100641.
Pełny tekst źródłaGENTILI, Roberto, Stefania ZANFORLIN, Stefano FRIGO, Francesco COZZOLINO, Pierluigi DELL'ORTO i Carlo DOVERI. "16 Optimisation of a Stratified Charge Strategy for a Direct Injected Two-Stroke Engine". W Small Engine Technology Conference & Exposition. 10-2 Gobancho, Chiyoda-ku, Tokyo, Japan: Society of Automotive Engineers of Japan, 2002. http://dx.doi.org/10.4271/2002-32-1785.
Pełny tekst źródłaSmall, Evan, John Reifenberg, Yizhang Yang, Sadegh M. Sadeghipour i Mehdi Asheghi. "Numerical Simulation of Mark Formation/Erasure in Phase Change Recording". W ASME 2005 Summer Heat Transfer Conference collocated with the ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems. ASMEDC, 2005. http://dx.doi.org/10.1115/ht2005-72330.
Pełny tekst źródłaVernotte, F. "Spectral analysis of irregularly spaced timing data: comparison of several methods". W 10th International Conference on European Frequency and Time. IEE, 1996. http://dx.doi.org/10.1049/cp:19960073.
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