Gotowa bibliografia na temat „Smoke and fire detection”
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Artykuły w czasopismach na temat "Smoke and fire detection"
Dong, Wen-Hui, Xue-Er Sheng, Shu Wang i Tian Deng. "Experimental Study on Particle Size Distribution Characteristics of Aerosol for Fire Detection". Applied Sciences 13, nr 9 (30.04.2023): 5592. http://dx.doi.org/10.3390/app13095592.
Pełny tekst źródłaLu, Xiaoman, Xiaoyang Zhang, Fangjun Li, Mark A. Cochrane i Pubu Ciren. "Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions". Remote Sensing 13, nr 2 (8.01.2021): 196. http://dx.doi.org/10.3390/rs13020196.
Pełny tekst źródłaLu, Xiaoman, Xiaoyang Zhang, Fangjun Li, Mark A. Cochrane i Pubu Ciren. "Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions". Remote Sensing 13, nr 2 (8.01.2021): 196. http://dx.doi.org/10.3390/rs13020196.
Pełny tekst źródłaPeat, Bob. "Fire detection without smoke". Physics World 6, nr 6 (czerwiec 1993): 23–25. http://dx.doi.org/10.1088/2058-7058/6/6/18.
Pełny tekst źródłaHuang, Jingwen, Jiashun Zhou, Huizhou Yang, Yunfei Liu i Han Liu. "A Small-Target Forest Fire Smoke Detection Model Based on Deformable Transformer for End-to-End Object Detection". Forests 14, nr 1 (16.01.2023): 162. http://dx.doi.org/10.3390/f14010162.
Pełny tekst źródłaSun, Bingjian, Pengle Cheng i Ying Huang. "Few-Shot Fine-Grained Forest Fire Smoke Recognition Based on Metric Learning". Sensors 22, nr 21 (1.11.2022): 8383. http://dx.doi.org/10.3390/s22218383.
Pełny tekst źródłaBhamra, Jaspreet Kaur, Shreyas Anantha Ramaprasad, Siddhant Baldota, Shane Luna, Eugene Zen, Ravi Ramachandra, Harrison Kim i in. "Multimodal Wildland Fire Smoke Detection". Remote Sensing 15, nr 11 (27.05.2023): 2790. http://dx.doi.org/10.3390/rs15112790.
Pełny tekst źródłaBashambu, Dr Shallu, Anupam Gupta i Sarthak Khandelwal. "Real Time Fire and Smoke Detection System". International Journal for Research in Applied Science and Engineering Technology 11, nr 6 (30.06.2023): 2593–600. http://dx.doi.org/10.22214/ijraset.2023.54039.
Pełny tekst źródłaYang, Huanyu, Jun Wang i Jiacun Wang. "Efficient Detection of Forest Fire Smoke in UAV Aerial Imagery Based on an Improved Yolov5 Model and Transfer Learning". Remote Sensing 15, nr 23 (27.11.2023): 5527. http://dx.doi.org/10.3390/rs15235527.
Pełny tekst źródłaZheng, Xin, Feng Chen, Liming Lou, Pengle Cheng i Ying Huang. "Real-Time Detection of Full-Scale Forest Fire Smoke Based on Deep Convolution Neural Network". Remote Sensing 14, nr 3 (23.01.2022): 536. http://dx.doi.org/10.3390/rs14030536.
Pełny tekst źródłaRozprawy doktorskie na temat "Smoke and fire detection"
Lynch, James Andrew. "A study of smoke aging examining changes in smoke particulate size". Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0510104-194400/.
Pełny tekst źródłaSaunders, Julie Ann. "The Prediction of Smoke Detector Activation Times in a Two-Storey House Fire through CFD Modelling". Thesis, University of Canterbury. Civil and Natural Resources Engineering, 2010. http://hdl.handle.net/10092/4077.
Pełny tekst źródłaAlamgir, Nyma. "Computer vision based smoke and fire detection for outdoor environments". Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/201654/1/Nyma_Alamgir_Thesis.pdf.
Pełny tekst źródłaDawod, Jakob. "Seek : More than just a smoke detector". Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-105986.
Pełny tekst źródłaAlsaadi, Abdulrahman. "Smart smoke and fire detection with wireless and global system for mobile technology". Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=1606705.
Pełny tekst źródłaFire safety is one of the major concerns for a safe home environment. Current implementations of home or workplace environment monitoring systems consist of rudimentary smoke detectors devoid of any communication capabilities. Recent trends in the industry have shown a growth in the use of smart devices at homes and with the recent advances in areas of machine learning and data sciences, this trend is expected to evolve at a rate faster than ever before. These smart devices constantly monitor the data of their environment and make decisions by performing data analytics on those observations. Amazon Echo is one such example where an ‘always-listening’ device responds intelligently to a speaker’s command giving its users a Smart Home experience.
In this implementation, we harness the developments in aforementioned areas to make Smart Fire Alarm System. The Smart Fire Alarm constantly monitors the environment and not only alerts the facility where it is located, but it also communicates with the fire department and the guardian of the property through Global System for Mobile (GSM) Communication making the damage control procedures efficient and faster. An ARM7 processor (LPDC 2148), ZigBee IEEE 802.15.4 protocol, and GSM subsystems are used in this implementation to communicate between the base station and smoke detectors.
Garges, David Casimir. "Early Forest Fire Detection via Principal Component Analysis of Spectral and Temporal Smoke Signature". DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1456.
Pełny tekst źródłaKohler, Daniel G. "STUDY OF STATISTICAL AND COMPUTATIONAL INTELLIGENCE METHODS OF DETECTING TEMPORAL SIGNATURE OF FOREST FIRE HEAT PLUME FROM SINGLE-BAND GROUND-BASED INFRARED VIDEO". DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/796.
Pełny tekst źródłaPhelan, Patrick. "Investigation of enhanced soot deposition on smoke alarm horns". Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-01075-121834/.
Pełny tekst źródłaĎuriš, Denis. "Detekce ohně a kouře z obrazového signálu". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-412968.
Pełny tekst źródłaSchneider, Dirk. "Untersuchung von Methoden zur Früherkennung von Bränden in Wald- und Vegetationsgebieten". Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-227018.
Pełny tekst źródłaKsiążki na temat "Smoke and fire detection"
Bukowski, Richard. International fire detection literature review & technical analysis. Quincy, Mass: National Fire Protection Research Foundation, 1991.
Znajdź pełny tekst źródłaSmoke without fire. New York: Doubleday, 1989.
Znajdź pełny tekst źródłaSmoke without fire. Thorndike, Me: Thorndike Press, 1991.
Znajdź pełny tekst źródłaOlson, Karen E. Secondhand smoke. New York: Mysterious Press, 2006.
Znajdź pełny tekst źródłaOlson, Karen E. Secondhand Smoke. New York: Grand Central Publishing, 2006.
Znajdź pełny tekst źródłaNational Institute of Standards and Technology (U.S.), red. The zone fire model JET: A model for the prediction of detector activation and gas temperature in the presence of a smoke layer. Gaithersburg, Md: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.
Znajdź pełny tekst źródłaD, Davis William, i United States. National Aeronautics and Space Administration., red. The use of computer models to predict temperature and smoke movement in high bay spaces. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1993.
Znajdź pełny tekst źródłaBennett, Roger P. Fire detection. New York: Nova Science Publishers, 2011.
Znajdź pełny tekst źródłaBennett, Roger P., i Roger P. Bennett. Fire detection. New York: Nova Science Publishers, 2011.
Znajdź pełny tekst źródłaSmoke without fire. London: Collins, 1990.
Znajdź pełny tekst źródłaCzęści książek na temat "Smoke and fire detection"
Lien, Kai-Yu, Jung-Chun Liu, Yu-Wei Chan i Chao-Tung Yang. "Fire and Smoke Detection Using YOLO Through Kafka". W Frontier Computing on Industrial Applications Volume 4, 269–75. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9342-0_29.
Pełny tekst źródłaRobert Singh, A., Suganya Athisayamani, S. Sankara Narayanan i S. Dhanasekaran. "Fire Detection by Parallel Classification of Fire and Smoke Using Convolutional Neural Network". W Computational Vision and Bio-Inspired Computing, 95–105. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6862-0_8.
Pełny tekst źródłaMubeen, Muhammad, Muhammad Asad Arshed i Hafiz Abdul Rehman. "DeepFireNet - A Light-Weight Neural Network for Fire-Smoke Detection". W Communications in Computer and Information Science, 171–81. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10525-8_14.
Pełny tekst źródłaFavorskaya, Margarita N., i Lakhmi C. Jain. "Deep Learning for Fire and Smoke Detection in Outdoor Spaces". W Smart Modelling for Engineering Systems, 195–209. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4619-2_15.
Pełny tekst źródłaHajji, Tarik, Ibtissam El Hassani, Abdelkader Fassi Fihri, Yassine Talhaoui i Chaimae Belmarouf. "Fire and Smoke Detection Model for Real-Time CCTV Applications". W Artificial Intelligence and Industrial Applications, 211–20. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43520-1_18.
Pełny tekst źródłaGuo, Xingran, Haizheng Yu i Xueying Liao. "WCA-VFnet: A Dedicated Complex Forest Smoke Fire Detector". W Neural Information Processing, 497–508. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8073-4_38.
Pełny tekst źródłaZhang, Qixing, Jia Liu, Jie Luo, Feng Wang, Jinjun Wang i Yongming Zhang. "Characterization of Typical Fire and Non-fire Aerosols by Polarized Light Scattering for Reliable Optical Smoke Detection". W The Proceedings of 11th Asia-Oceania Symposium on Fire Science and Technology, 791–801. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9139-3_58.
Pełny tekst źródłaKo, Yoon, Oluwamuyiwa Okunrounmu, Monireh Aram i Dahai Qi. "Fire Risks of Renewable Energy Technologies in Buildings: Analysis of Fire Effluents for Smoke and Toxicant Detection". W Proceedings of the 5th International Conference on Building Energy and Environment, 1593–98. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9822-5_164.
Pełny tekst źródłaZhou, Zhong, i Ya-qin Zhao. "A New Smoke Detection Method of Forest Fire Video with Color and Flutter". W Proceedings of the 2015 Chinese Intelligent Automation Conference, 151–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46469-4_16.
Pełny tekst źródłaSaponara, Sergio, Abdussalam Elhanashi i Alessio Gagliardi. "Enabling YOLOv2 Models to Monitor Fire and Smoke Detection Remotely in Smart Infrastructures". W Lecture Notes in Electrical Engineering, 30–38. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66729-0_4.
Pełny tekst źródłaStreszczenia konferencji na temat "Smoke and fire detection"
Shuhai, Wang, Chen Shuxin, Chen shuwang i An shengbiao. "Experimental Research on Fire Smoke for Fire Automatic Detection". W 2007 8th International Conference on Electronic Measurement and Instruments. IEEE, 2007. http://dx.doi.org/10.1109/icemi.2007.4351122.
Pełny tekst źródłaZhaa, Xuan, Hang Ji, Dengyin Zhang i Huanhuan Bao. "Fire Smoke Detection Based on Contextual Object Detection". W 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC). IEEE, 2018. http://dx.doi.org/10.1109/icivc.2018.8492823.
Pełny tekst źródłaZhou, You, Jiaxuan Wang, Tiancheng Han i Xuerui Cai. "Fire Smoke Detection Based on Vision Transformer". W 2022 4th International Conference on Natural Language Processing (ICNLP). IEEE, 2022. http://dx.doi.org/10.1109/icnlp55136.2022.00015.
Pełny tekst źródłaWei, Yuan, Yu Chunyu i Zhang Yongming. "Based on wavelet transformation fire smoke detection method". W Instruments (ICEMI). IEEE, 2009. http://dx.doi.org/10.1109/icemi.2009.5274409.
Pełny tekst źródłaChao-Ching Ho i Tzu-Hsin Kuo. "Real-time video-based fire smoke detection system". W 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2009. http://dx.doi.org/10.1109/aim.2009.5229791.
Pełny tekst źródłaXu, Meng, Xiuping Jia, Mark Pickering i Dar Roberts. "Spectral unmixing for fire smoke detection and removal". W IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7729203.
Pełny tekst źródłaGrigorov, Ivan, Atanaska Deleva, Dimitar Stoyanov, Nikolay Kolev i Georgi Kolarov. "LIDAR detection of forest fire smoke above Sofia". W Eighteenth International School on Quantum Electronics: Laser Physics and Applications, redaktorzy Tanja Dreischuh, Sanka Gateva i Alexandros Serafetinides. SPIE, 2015. http://dx.doi.org/10.1117/12.2178791.
Pełny tekst źródłaChoueiri, Samia, Daoud Daoud, Samir Harb i Roger Achkar. "Fire and Smoke Detection Using Artificial Neural Networks". W 2020 14th International Conference on Open Source Systems and Technologies (ICOSST). IEEE, 2020. http://dx.doi.org/10.1109/icosst51357.2020.9332990.
Pełny tekst źródłaJobert, Gabriel, Maryse Fournier, Pierre Barritault, Salim Boutami, Jeremie Auger, Adrien Maillard, Julien Michelot, Pierre Lienhard, Sergio Nicoletti i Laurent Duraffourg. "A Miniaturized Optical Sensor for Fire Smoke Detection". W 2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (TRANSDUCERS & EUROSENSORS XXXIII). IEEE, 2019. http://dx.doi.org/10.1109/transducers.2019.8808611.
Pełny tekst źródłaTao, MingKun, Yang Li, ShaoPeng Li, Hao Zhuang i Ling Li. "Early fire smoke detection model based on YOLOv5". W International Conference on Cloud Computing, Internet of Things, and Computer Applications, redaktorzy Warwick Powell i Amr Tolba. SPIE, 2022. http://dx.doi.org/10.1117/12.2642639.
Pełny tekst źródłaRaporty organizacyjne na temat "Smoke and fire detection"
Josephson, Alexander, i Jenna McDanold. Fire and Smoke. Office of Scientific and Technical Information (OSTI), marzec 2024. http://dx.doi.org/10.2172/2332767.
Pełny tekst źródłaDoo, Johnny. Unsettled Issues Concerning eVTOL for Rapid-response, On-demand Firefighting. SAE International, sierpień 2021. http://dx.doi.org/10.4271/epr2021017.
Pełny tekst źródłaMcKinnon, Mark, Sean DeCrane i Steve Kerber. Four Firefighters Injured in Lithium-Ion Battery Energy Storage System Explosion -- Arizona. UL Firefighter Safety Research Institute, lipiec 2020. http://dx.doi.org/10.54206/102376/tehs4612.
Pełny tekst źródłaAverill, Jason D., Erik L. Johnsson, Marc R. Nyden, Richard D. Peacock i Richard G. Gann. Smoke component yields from room-scale fire tests. Gaithersburg, MD: National Bureau of Standards, 2003. http://dx.doi.org/10.6028/nist.tn.1453.
Pełny tekst źródłaFloyd, Jason E., Sean P. Hunt, Frederick W. Williams i Patricia A. Tatem. Fire and Smoke Simulator (FSSIM) Version 1 - Theory Manual. Fort Belvoir, VA: Defense Technical Information Center, marzec 2004. http://dx.doi.org/10.21236/ada422214.
Pełny tekst źródłaFloyd, Jason E., Sean P. Hunt, Patricia A. Tatem i Frederick W. Williams. Fire and Smoke Simulator (FSSIM) Version 1 - User's Guide. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2004. http://dx.doi.org/10.21236/ada425816.
Pełny tekst źródłaAverill, Jason D., Richard G. Gann i Daniel C. Murphy. Performance of new and aged residential fire smoke alarms. Gaithersburg, MD: National Institute of Standards and Technology, 2011. http://dx.doi.org/10.6028/nist.tn.1691.
Pełny tekst źródłaMarsh, Nathan D., i Richard G. Gann. Smoke component yields from Bench-Scale Fire Tests : 4. Comparison with Room Fire Results. National Institute of Standards and Technology, grudzień 2013. http://dx.doi.org/10.6028/nist.tn.1763.
Pełny tekst źródłaJason, Nora H. Spacecraft fire detection and extinguishment :. Gaithersburg, MD: National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nbs.ir.88-3712.
Pełny tekst źródłaJones, Walter W. Refinement of a model for fire growth and smoke transport. Gaithersburg, MD: National Bureau of Standards, 1990. http://dx.doi.org/10.6028/nist.tn.1282.
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