Relevant bibliographies by topics / Neural protection

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Neural protection'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Neural protection"

1

Stephan, Jane Jaleel, Sahab Dheyaa Mohammed, and Mohammed Khudhair Abbas. "Neural Network Approach to Web Application Protection." International Journal of Information and Education Technology 5, no. 2 (2015): 150–55. http://dx.doi.org/10.7763/ijiet.2015.v5.493.

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Uthayabalan, Sukanthatulsee. "Examining estradiols neuroprotective abilities and mechanisms of action in cerebrovascular accidents and neurodegenerative conditions." University of Ottawa Science Undergraduate Research Journal 1 (August 23, 2018): 42–46. http://dx.doi.org/10.18192/osurj.v1i1.3699.

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Estrogens are known for playing essential roles in the body. These hormones exert crucial protective actions when faced with neural damage. Numerous studies have provided a deep understanding of these unique actions that go far beyond the scope of reproduction and reproductive regulation. Through various mechanisms, delivery routes, dosage levels, and with the age and health status of the individuals receiving the treatment in mind, the hormone can be used in protecting against neural death. This review examines the discoveries that comprise the current body of knowledge regarding estrogen as
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Wenskay, Donald L. "Intellectual property protection for neural networks." Neural Networks 3, no. 2 (1990): 229–36. http://dx.doi.org/10.1016/0893-6080(90)90092-y.

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Huang, Shu-Hsiang, Sheng-Ting Fang та Yi-Cheng Chen. "Molecular Mechanism of Vitamin K2 Protection against Amyloid-β-Induced Cytotoxicity". Biomolecules 11, № 3 (2021): 423. http://dx.doi.org/10.3390/biom11030423.

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The pathological role of vitamin K2 in Alzheimer’s disease (AD) involves a definite link between impaired cognitive functions and decreased serum vitamin K levels. Vitamin K2 supplementation may have a protective effect on AD. However, the mechanism underlying vitamin K2 protection has not been elucidated. With the amyloid-β (Aβ) cascade hypothesis, we constructed a clone containing the C-terminal fragment of amyloid precursor protein (β-CTF/APP), transfected in astroglioma C6 cells and used this cell model (β-CTF/C6) to study the protective effect of vitamin K2 against Aβ cytotoxicity. Both c
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Sofroniew, Michael V. "Reactive Astrocytes in Neural Repair and Protection." Neuroscientist 11, no. 5 (2005): 400–407. http://dx.doi.org/10.1177/1073858405278321.

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Chen, Cheng-I., Chien-Kai Lan, Yeong-Chin Chen, Chung-Hsien Chen, and Yung-Ruei Chang. "Wavelet Energy Fuzzy Neural Network-Based Fault Protection System for Microgrid." Energies 13, no. 4 (2020): 1007. http://dx.doi.org/10.3390/en13041007.

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To perform the fault protection for the microgrid in grid-connected mode, the wavelet energy fuzzy neural network-based technique (WEFNNBT) is proposed in this paper. Through the accurate activation of protective relay, the microgrid can be effectively isolated from the utility power system to prevent serious voltage fluctuation when the power quality of power system is disturbed. The proposed WEFNNBT can be divided into three stages—feature extraction (FE), feature condensation (FC), and disturbance identification (DI). In the FE stage, the feature of power signal at the point of common coupl
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Zhu, Min, Wei Dong Liu, and Wen Song Hu. "Application of Fuzzy Neural Network in Relay Protection." Advanced Materials Research 181-182 (January 2011): 434–38. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.434.

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This paper present a relay protection algorithm based on fuzzy neural network theory. FZZ makes full use of the strong structural knowledge express ability of fuzzy logic as well as self-learning and direct quantitative data processing ability of neural network. Hence the robustness and self-learning of FZZ are improved. At the end of this paper, we use a relay protection working case to certify the application.
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Abramov, Nikolai, and Vitaly Fralenko. "Neural network data protection system for computer systems." Program Systems: Theory and Applications 8, no. 4 (2017): 197–207. http://dx.doi.org/10.25209/2079-3316-2017-8-1-197-207.

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Abramov, Nikolai, and Vitaly Fralenko. "Neural network data protection system for computer systems." Program Systems: Theory and Applications 8, no. 4 (2017): 197–207. http://dx.doi.org/10.25209/2079-3316-2017-8-4-197-207.

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Sahani, Nilesh A., Joseph F. Horn, Geoffrey J. J. Jeram, and J. V. R. Prasad. "Hub Moment Limit Protection Using Neural Network Prediction." Journal of the American Helicopter Society 51, no. 4 (2006): 331. http://dx.doi.org/10.4050/jahs.51.331.

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Dissertations / Theses on the topic "Neural protection"

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Chen, Zhihong. "Application of artificial neural networks to power system protection." Doctoral thesis, Universite Libre de Bruxelles, 1997. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/212176.

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Sanaye-Pasand, Majid. "Transmission line directional protection using neural networks and filtering algorithms." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0020/NQ54824.pdf.

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AL-Shareefi, Hussein. "Neutral network corrosion control by impressed cathodic protection." Thesis, Högskolan Dalarna, Maskinteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4258.

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Eriksson, David. "Using Neural Networks to Identify Infected Files for Protection against Ransomware." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170251.

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This master thesis report presents the development process and result of an artificial neural network model that can predict if a file has been encrypted. It was developed as a stand alone component that can be implemented in to a backup system. The development process was tested to determine the best possible outcome and it was implemented to a rudimentary backup system. The resulting software was a command line interface that gave the user full access to the training and testing process. The backup system is also implemented in this command line interface for test purposes. The model was suc
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Xuan, Qing-Yun. "Adaptive protection and control systems for controllable series compensated EHV transmission using neural networks." Thesis, Liverpool John Moores University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337860.

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Jeram, Geoffrey James Joseph. "Open Platform for Limit Protection with Carefree Maneuver Applications." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4933.

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This Open Platform for Limit Protection guides the open design of maneuver limit protection systems in general, and manned, rotorcraft, aerospace applications in particular. The platform uses three stages of limit protection modules: limit cue creation, limit cue arbitration, and control system interface. A common set of limit cue modules provides commands that can include constraints, alerts, transfer functions, and friction. An arbitration module selects the best limit protection cues and distributes them to the most appropriate control path interface. This platform adopts a holistic ap
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袁綺珊 and Yee-shan Cherry Yuen. "High impedance fault detection and overvoltage protection in low voltage power systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31222146.

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Yuen, Yee-shan Cherry. "High impedance fault detection and overvoltage protection in low voltage power systems /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20735297.

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Unnikrishnan, Suraj. "Adaptive Envelope Protection Methods for Aircraft." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11478.

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Carefree handling refers to the ability of a pilot to operate an aircraft without the need to continuously monitor aircraft operating limits. At the heart of all carefree handling or maneuvering systems, also referred to as envelope protection systems, are algorithms and methods for predicting future limit violations. Recently, envelope protection methods that have gained more acceptance, translate limit proximity information to its equivalent in the control channel. Envelope protection algorithms either use very small prediction horizon or are static methods with no capability to adapt to cha
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Kim, Mingoo. "Application of computational intelligence to power system vulnerability assessment and adaptive protection using high-speed communication /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/5855.

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Books on the topic "Neural protection"

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E, Keller Paul, ed. Applications of neural networks in evironment, energy, and health: Proceedings of the 1995 Workshop on Environmental and Energy Applications of Neural Networks, Richland, Washington, USA, 30-31 March 1995. World Scientific, 1996.

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Workshop on Environmental and Energy Applications of Neural Networks (1995 Richland, Wash.). Applications of neural networks in evironment, energy, and health: Proceedings of the 1995 Workshop on Environmental and Energy Applicatins of Neural Networks, Pacific Northwest National Laboratory, Richland, Washington, USA, 30-31 March 1995. World Scientific, 1996.

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Frome, Michael. Rebel on the road: And why I was never neutral. Truman State University Press, 2007.

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How to go carbon neutral: A practical guide to treading more lightly upon the Earth. How To Books, 2008.

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Khosla, V. K. Brain Protection And Neural Trauma. Alpha Science Intl Ltd, 2000.

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(Editor), Paul E. Keller, Sherif Hashem (Editor), Lars J. Kangas (Editor), and Richard T. Kouzes (Editor), eds. Applications of Neural Networks in Environment, Energy, and Health: Proceedings of the 1995 Workshop on Environmental and Energy Applications of Neural ... 1995 (Progress in Neural Processing, 5). World Scientific Pub Co Inc, 1996.

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Spaliaras, Joanne. Myelomeningocele. Edited by David E. Traul and Irene P. Osborn. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190850036.003.0017.

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Spina bifida is a defect in which the vertebral arch of the spinal column is either incompletely formed or absent. Failure of closure of the neural tube during the third week of gestation leads to the constellation of defects observed in patients with meningomyelocele or open spina bifida. Myelomeningocele is the most common neural tube defect and the most severe birth defect compatible with long-term survival. It is associated with several characteristic central nervous system anomalies. Leak of cerebrospinal fluid (CSF) is commonly observed. The major indication for early operative repair (w
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Burton, Derek, and Margaret Burton. The integument. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785552.003.0002.

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The skin is the boundary between fish and environment and possesses important boundary functions such as protection and camouflage. Fish skin is mucigenic, contrasting with keratinized skin in terrestrial vertebrates. Structurally, there is an outer epidermis, a dermis and an inner hypodermis, the entire mucigenic epidermis remaining alive, with mitotic cells, unlike a keratinized epidermis. A variety of specialized epidermal cells are described, and the role of the ‘bias-sleeve’ orientation of dermal collagen is discussed. Scales, scutes and bony plates have protective roles. The variety of m
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Blaser, Annika Reintam, and Adam M. Deane. Normal physiology of the gastrointestinal system. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0172.

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The gastrointestinal (GI) system is responsible for digestion and absorption, but also has important endocrine, immune and barrier functions. Additionally, the GI system plays a major role in fluid, electrolyte and acid-base balance. The GI system is regulated by complex myogenic, neural and humoral mechanisms, and, in health, these are affected by the presence of luminal nutrient, thereby modulating function of the GI system. Accordingly, GI function varies depending on whether a person is fasted or in the postprandial state. Adequate fasting and postprandial perfusion, motility and exocrine
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Surge Protection Collection: Guides for the Application of Neutral Grounding in Electrical Utilities. IEEE, 1995.

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Book chapters on the topic "Neural protection"

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Hering, Dagmara, Gino Seravalle, Guido Grassi, and Krzysztof Narkiewicz. "Neural Mechanisms." In Updates in Hypertension and Cardiovascular Protection. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-93320-7_5.

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Halinka, Adrian, Pawel Sowa, Michal Szewczyk, and Les M. Sztandera. "Neural Network-Based Adaptive Protection System." In Soft Computing in Industrial Electronics. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1783-6_6.

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Guan, Zhi-Hong, Bin Hu, and Xuemin Shen. "Impulsive Neural Networks Towards Image Protection." In Introduction to Hybrid Intelligent Networks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02161-0_5.

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Nagatomo, Kohei, Muhammad Aziz Muslim, Hiroki Tamura, Koichi Tanno, and Wijono. "Characteristic Prediction of a Varistor in Over-Voltage Protection Application." In Neural Information Processing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12640-1_68.

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Gao, Jing, Jianyu Lv, and Xin Song. "A Spectrum Allocation Algorithm Based on Optimization and Protection in Cognitive Radio Networks." In Neural Information Processing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46681-1_55.

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Rossi, Alessandro, Antonio Rizzo, and Francesco Montefoschi. "ATM Protection Using Embedded Deep Learning Solutions." In Artificial Neural Networks in Pattern Recognition. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99978-4_29.

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Groß, M., and F. Seibert. "Neural network image analysis for environmental protection." In Informatik aktuell. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77612-0_5.

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Guo, Jingchun. "Delta-Opioid Receptor-Mediated Protection and Mitochondria." In Neural Functions of the Delta-Opioid Receptor. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25495-1_13.

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Lian, Shiguo. "Multimedia Content Protection Based on Chaotic Neural Networks." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71078-3_2.

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Zhang, Linhua, Shaojiang Deng, and Xuebing Wang. "A New Image Protection and Authentication Technique Based on ICA." In Advances in Neural Networks — ISNN 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427391_159.

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Conference papers on the topic "Neural protection"

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Qi, W. "Distance protection using an artificial neural network." In 6th International Conference on Developments in Power Systems Protection. IEE, 1997. http://dx.doi.org/10.1049/cp:19970083.

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Straka, Libor, and Ghaeth Fandi. "Distance protection based on Artificial Neural Networks." In 2014 15th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2014. http://dx.doi.org/10.1109/epe.2014.6839435.

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Motwani, Mukesh C., Bobby D. Bryant, Sergiu M. Dascalu, and Frederick C. Harris. "3D Multimedia Protection Using Artificial Neural Network." In 2010 7th IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2010. http://dx.doi.org/10.1109/ccnc.2010.5421700.

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Lang, Jiaqi, Linjing Li, Weiyun Chen, and Daniel Zeng. "Privacy Protection in Transformer-based Neural Network." In 2019 IEEE International Conference on Intelligence and Security Informatics (ISI). IEEE, 2019. http://dx.doi.org/10.1109/isi.2019.8823346.

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Lin, Hsiao-Ying, Chengfang Fang, and Jie Shi. "Bident Structure for Neural Network Model Protection." In 6th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0008923403770384.

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Damasceno, Marcelo, A. M. P. Canuto, and Norman Poh. "Multi-privacy biometric protection scheme using ensemble systems." In 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. http://dx.doi.org/10.1109/ijcnn.2015.7280657.

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Salvador, Paulo, António Nogueira, Ulisses França, and Rui Valadas. "Framework for Zombie Detection Using Neural Networks." In 2009 Fourth International Conference on Internet Monitoring and Protection. IEEE, 2009. http://dx.doi.org/10.1109/icimp.2009.10.

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Raval, Mehul S., M. V. Joshi, and Shubhalaxmi Kher. "Fuzzy Neural Based Copyright Protection Scheme for Superresolution." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.62.

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Malik, O. P. "Application of Neural Networks in Transmission Line Protection." In 2007 IEEE Power Engineering Society General Meeting. IEEE, 2007. http://dx.doi.org/10.1109/pes.2007.386162.

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Bertrand, P. "Neural networks: a mature technique for protection relays." In 14th International Conference and Exhibition on Electricity Distribution (CIRED 1997 - Distributing Power for the Millennium). IEE, 1997. http://dx.doi.org/10.1049/cp:19970461.

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Reports on the topic "Neural protection"

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Bazan, Nicolas G. Neural Responses to Injury: Prevention, Protection, and Repair. Neurochemical Protection of the Brain, Neural Plasticity and Repair. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada373622.

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Bazan, Nicolas G. Neural Responses to Injury: Prevention, Protection, and Repair. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada373634.

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Technology News 456 - a fault detection neural network for DC trolley system protection. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 1997. http://dx.doi.org/10.26616/nioshpub97129.

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