Open Access
Issue |
E3S Web Conf.
Volume 552, 2024
16th International Conference on Materials Processing and Characterization (ICMPC 2024)
|
|
---|---|---|
Article Number | 01095 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/e3sconf/202455201095 | |
Published online | 23 July 2024 |
- Hutka, Peter, Michaela Krivosova, Zuzana Muchova, Ingrid Tonhajzerova, Andrea Hamrakova, Zuzana Mlyncekova, Juraj Mokry, and Igor Ondrejka. “Association of sleep architecture and physiology with depressive disorder and antidepressants treatment.” International journal of molecular sciences 22, 3 (2021): 1333. [CrossRef] [PubMed] [Google Scholar]
- Bathory, Eleanor, and Suzy Tomopoulos. “Sleep regulation, physiology and development, sleep duration and patterns, and sleep hygiene in infants, toddlers, and preschool-age children.” Current problems in pediatric and adolescent health care 47, 2 (2017): 29–42. [CrossRef] [PubMed] [Google Scholar]
- Cellini, Nicola, and Sara C. Mednick. “Stimulating the sleeping brain: Current approaches to modulating memory-related sleep physiology.” Journal of neuroscience methods 316 (2019): 125–136. [CrossRef] [PubMed] [Google Scholar]
- Urrila, A.S., T. Paunio, E. Palomäki, and M. Marttunen. “Sleep in adolescent depression: physiological perspectives.” Acta Physiologica 213, 4 (2015): 758–777. [CrossRef] [PubMed] [Google Scholar]
- Zhao, Mingmin, Shichao Yue, Dina Katabi, Tommi S. Jaakkola, and Matt T. Bianchi. “Learning sleep stages from radio signals: A conditional adversarial architecture.” In International Conference on Machine Learning, 4100–4109. PMLR, 2017. [Google Scholar]
- Mantua, Janna, Antigone Grillakis, Sanaa H. Mahfouz, Maura R. Taylor, Allison J. Brager, Angela M. Yarnell, Thomas J. Balkin, VincentF. Capaldi, and Guido Simonelli. “A systematic review and meta-analysis of sleep architecture and chronic traumatic brain injury.” Sleep medicine reviews 41 (2018): 61–77. [Google Scholar]
- Girish, K.M., Naik, R., Prashantha, S.C., Nagabhushana, H., Nagaswarupa, H.P., Raju, K.A., & & Nagabhushana, B.M. (2015). Zn2TiO4: Eu3+ nanophosphor: self explosive route and its near UV excited photoluminescence properties for WLEDs. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 138, 857–865. [CrossRef] [Google Scholar]
- Damodharan, D., Rajesh Kumar, B., Gopal, K., De Poures, M.V., & Sethuramasamyraja, B. (2019). Utilization of waste plastic oil in diesel engines: a review. Reviews in Environmental Science and Bio/Technology, 18(4), 681–697. [CrossRef] [Google Scholar]
- Girish, K.M., Prashantha, S.C., Nagabhushana, H., Ravikumar, C.R., Nagaswarupa, H.P., Naik, R., & & Umesh, B. (2018). Multi-functional Zn2TiO4: Sm3+ nanopowders: excellent performance as an electrochemical sensor and an UV photocatalyst. Journal of Science: Advanced Materials and Devices, 3(2), 151–160. [CrossRef] [Google Scholar]
- Naik, R., Prashantha, S.C., Nagabhushana, H., Sharma, S.C., Nagaswarupa, H.P., Anantharaju, K.S., & & Girish, K.M. (2016). Tunable white light emissive Mg2SiO4: Dy3+ nanophosphor: its photoluminescence, Judd-Ofelt and photocatalytic studies. Dyes and Pigments, 127, 25–36. [CrossRef] [Google Scholar]
- Rathod, V.P., & Tanveer, S. (2009). Pulsatile flow of couple stress fluid through a porous medium with periodic body acceleration and magnetic field. Bulletin of the Malaysian Mathematical Sciences Society, 32(2). [Google Scholar]
- Rim, Beanbonyka, Nak-Jun Sung, Sedong Min, and Min Hong. “Deep learning in physiological signal data: A survey.” Sensors 20, 4 (2020): 969. [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Chriskos, Panteleimon, Christos A. Frantzidis, Christiane M. Nday, Polyxeni T. Gkivogkli, Panagiotis D. Bamidis, and Chrysoula Kourtidou-Papadeli. “A review on current trends in automatic sleep staging through bio-signal recordings and future challenges.” Sleep medicine reviews 55 (2021): 101377. [Google Scholar]
- Horng, Gwo-Jiun, and Jia-Yi Lin. “Using multimodal bio-signals for prediction of physiological cognitive state under free-living conditions.” IEEE Sensors Journal 20, 8 (2019): 4469–4484. [Google Scholar]
- Swapna, Mudrakola, Uma Maheswari Viswanadhula, Rajanikanth Aluvalu, Vijayakumar Vardharajan, and Ketan Kotecha. “Bio-signals in medical applications and challenges using artificial intelligence.” Journal of Sensor and Actuator Networks 11, 1 (2022): 17. [CrossRef] [Google Scholar]
- Athavale, Yashodhan, and Sridhar Krishnan. “Biosignal monitoring using wearables: Observations and opportunities.” Biomedical Signal Processing and Control 38 (2017): 22–33. [CrossRef] [Google Scholar]
- Indira, D.N.V.S.L.S., Ganiya, R.K., Babu, P.A., Xavier, A.J., Kavisankar, L., Hemalatha, S., & & Yeshitla, A. (2022). Improved artificial neural network with state order dataset estimation for brain cancer cell diagnosis. BioMed Research International, 2022. [Google Scholar]
- Jaidass, N., Moorthi, C.K., Babu, A.M., & Babu, M.R. (2018). Luminescence properties of Dy3+ doped lithium zinc borosilicate glasses for photonic applications. Heliyon, 4(3). [Google Scholar]
- Lakshmi, L., Reddy, M.P., Santhaiah, C., & Reddy, U.J. (2021). Smart phishing detection in web pages using supervised deep learning classification and optimization technique ADAM. Wireless Personal Communications, 118(4), 3549–3564. [CrossRef] [Google Scholar]
- Spandana, K., & Rao, V.S. (2018). Internet of Things (Iot) Based smart water quality monitoring system. International Journal of Engineering and Technology (UAE), 7(3), 259–262. [Google Scholar]
- Kumar, K.U., Babu, P., Basavapoornima, C., Praveena, R., Rani, D.S., & Jayasankar, C.K. (2022). Spectroscopic properties of Nd3+-doped boro-bismuth glasses for laser applications. Physica B: Condensed Matter, 646, 414327. [CrossRef] [Google Scholar]
- Chatterjee, Shubhojeet, Rini Smita Thakur, Ram Narayan Yadav, Lalita Gupta, and Deepak Kumar Raghuvanshi. “Review of noise removal techniques in ECG signals.” IET Signal Processing 14, no. 9 (2020): 569–590. [CrossRef] [Google Scholar]
- Chieng, Thion Ming, Yuan Wen Hau, Zaid Bin Omar, and Chiao Wen Lim. “Qualitative and quantitative performance comparison of ECG noise reduction and signal enhancement method based on various digital filter designs and discrete wavelet transform.” International Journal of Computing and Digital Systems 9, 4 (2020): 553–565. [CrossRef] [Google Scholar]
- Kim, S., Baek, S., Sluyter, R., Konstantinov, K., Kim, J.H., Kim, S., & Kim, Y.H. (2023). Wearable and implantable bioelectronics as eco-friendly and patient-friendly integrated nanoarchitectonics for next-generation smart healthcare technology. EcoMat, 5(8), e12356. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.