Artículos de revistas sobre el tema "Air quality-Artificial intelligence"
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Schultz, Martin. "Artificial intelligence for air quality". Project Repository Journal 12, n.º 1 (31 de enero de 2022): 70–73. http://dx.doi.org/10.54050/prj1218384.
Texto completoMiguel, B. J., C. M. Guadalupe, B. F. Santiago, A. Diego y V. Antonio. "Air Quality Index Estimation Applying Artificial Intelligence". Epidemiology 18, Suppl (septiembre de 2007): S60. http://dx.doi.org/10.1097/01.ede.0000276612.47104.00.
Texto completoKulikova, Elena, Vladimir Sulimin y Vladislav Shvedov. "Artificial intelligence for ambient air quality control". E3S Web of Conferences 419 (2023): 03011. http://dx.doi.org/10.1051/e3sconf/202341903011.
Texto completoNeo, En Xin, Khairunnisa Hasikin, Khin Wee Lai, Mohd Istajib Mokhtar, Muhammad Mokhzaini Azizan, Hanee Farzana Hizaddin, Sarah Abdul Razak y Yanto. "Artificial intelligence-assisted air quality monitoring for smart city management". PeerJ Computer Science 9 (24 de mayo de 2023): e1306. http://dx.doi.org/10.7717/peerj-cs.1306.
Texto completoP, ShreeNandhini, Amudha P y Sivakumari S. "Comparative Analysis of Air Quality Prediction Using Artificial Intelligence Techniques". ECS Transactions 107, n.º 1 (24 de abril de 2022): 6059–66. http://dx.doi.org/10.1149/10701.6059ecst.
Texto completoMo, Zhang, Li y Qu. "A Novel Air Quality Early-Warning System Based on Artificial Intelligence". International Journal of Environmental Research and Public Health 16, n.º 19 (20 de septiembre de 2019): 3505. http://dx.doi.org/10.3390/ijerph16193505.
Texto completoSchürholz, Daniel, Sylvain Kubler y Arkady Zaslavsky. "Artificial intelligence-enabled context-aware air quality prediction for smart cities". Journal of Cleaner Production 271 (octubre de 2020): 121941. http://dx.doi.org/10.1016/j.jclepro.2020.121941.
Texto completoAli, Ahmad Najim, Ghalia Nassreddine y Joumana Younis. "Air Quality prediction using Multinomial Logistic Regression". Journal of Computer Science and Technology Studies 4, n.º 2 (29 de septiembre de 2022): 71–78. http://dx.doi.org/10.32996/jcsts.2022.4.2.9.
Texto completoLi, Yanzhao, Ju-e. Guo, Shaolong Sun, Jianing Li, Shouyang Wang y Chengyuan Zhang. "Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis". Environmental Modelling & Software 149 (marzo de 2022): 105329. http://dx.doi.org/10.1016/j.envsoft.2022.105329.
Texto completoRahardja, Untung, Qurotul Aini, Po Abas Sunarya, Danny Manongga y Dwi Julianingsih. "The Use of TensorFlow in Analyzing Air Quality Artificial Intelligence Predictions PM2.5". Aptisi Transactions on Technopreneurship (ATT) 4, n.º 3 (31 de octubre de 2022): 313–24. http://dx.doi.org/10.34306/att.v4i3.282.
Texto completoCiric, Ivan, Zarko Cojbasic, Vlastimir Nikolic, Predrag Zivkovic y Mladen Tomic. "Air quality estimation by computational intelligence methodologies". Thermal Science 16, suppl. 2 (2012): 493–504. http://dx.doi.org/10.2298/tsci120503186c.
Texto completoFaleh, Rabeb, Souhir Bedoui y Abdennaceur Kachouri. "Review on Smart Electronic Nose Coupled with Artificial Intelligence for Air Quality Monitoring". Advances in Science, Technology and Engineering Systems Journal 5, n.º 2 (2020): 739–47. http://dx.doi.org/10.25046/aj050292.
Texto completoYounes, Mohammad K., Ghassan Sulaiman y Ali Al-Mashni. "Integration of Traffic Management and an Artificial Intelligence to Evaluate Urban Air Quality". Asian Journal of Atmospheric Environment 14, n.º 3 (30 de septiembre de 2020): 225–35. http://dx.doi.org/10.5572/ajae.2020.14.3.225.
Texto completoZhang, Yongli. "Seasonal Disparity in the Effect of Meteorological Conditions on Air Quality in China Based on Artificial Intelligence". Atmosphere 12, n.º 12 (13 de diciembre de 2021): 1670. http://dx.doi.org/10.3390/atmos12121670.
Texto completoDamanhuri, Endang Agus, Yusni Ikhwan Siregar y Elfizar Elfizar. "PENERAPAN MODEL BERBASIS ARTIFICIAL NEURAL NETWORK UNTUK MEMPREDIKSI KUALITAS AIR DI SUNGAI SUBAYANG KABUPATEN KAMPAR". Jurnal Ilmu Lingkungan 14, n.º 1 (18 de marzo de 2020): 18. http://dx.doi.org/10.31258/jil.14.1.p.18-28.
Texto completoMileva-Karova, Milena Nikolova, Tsvetelin Angelov Petrov, Kristian Ivanov Ivanov, Nayden Nikolaev Nikolov y Tony Angelov Gadzhev. "System for assessment and forecast of air quality in populated areas". ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA 7, n.º 1 (30 de junio de 2023): 52–60. http://dx.doi.org/10.29114/ajtuv.vol7.iss1.267.
Texto completoPandey, Shirish, S. Hasan Saeed y N. R. Kidwai. "Simulation and optimization of genetic algorithm-artificial neural network based air quality estimator". Indonesian Journal of Electrical Engineering and Computer Science 19, n.º 2 (1 de agosto de 2020): 775. http://dx.doi.org/10.11591/ijeecs.v19.i2.pp775-783.
Texto completoSafira, Aretha, L. M. Sarudi As., Afifa Puspitasari, Nur Mayke Eka Normasari y Achmad Pratama Rifai. "PENGEMBANGAN NEURAL NETWORK UNTUK PREDIKSI KUALITAS AIR". Jurnal Rekavasi 10, n.º 2 (14 de febrero de 2023): 30–36. http://dx.doi.org/10.34151/rekavasi.v10i2.4014.
Texto completoSankar Ganesh, S., Pachaiyappan Arulmozhivarman y Rao Tatavarti. "Forecasting Air Quality Index Using an Ensemble of Artificial Neural Networks and Regression Models". Journal of Intelligent Systems 28, n.º 5 (18 de noviembre de 2017): 893–903. http://dx.doi.org/10.1515/jisys-2017-0277.
Texto completoPan, Zhengxiang, Han Yu, Chunyan Miao y Cyril Leung. "Crowdsensing Air Quality with Camera-Enabled Mobile Devices". Proceedings of the AAAI Conference on Artificial Intelligence 31, n.º 2 (11 de febrero de 2017): 4728–33. http://dx.doi.org/10.1609/aaai.v31i2.19102.
Texto completoOh, Kyuetaek, Mintaek Yoo, Nayoung Jin, Jisu Ko, Jeonguk Seo, Hyojin Joo y Minsam Ko. "A Review of Deep Learning Applications for Railway Safety". Applied Sciences 12, n.º 20 (19 de octubre de 2022): 10572. http://dx.doi.org/10.3390/app122010572.
Texto completoGulkari, Shruti S. "A Review on Advanced Home Automation System using GSM and AI". International Journal for Research in Applied Science and Engineering Technology 9, n.º VI (10 de junio de 2021): 459–61. http://dx.doi.org/10.22214/ijraset.2021.34882.
Texto completoJufriansah, Adi, Azmi Khusnani, Yudhiakto Pramudya, Nursina Sya’bania, Kristina Theresia Leto, Hamzarudin Hikmatiar y Sabarudin Saputra. "AI Big Data System to Predict Air Quality for Environmental Toxicology Monitoring". Journal of Novel Engineering Science and Technology 2, n.º 01 (4 de abril de 2023): 21–25. http://dx.doi.org/10.56741/jnest.v2i01.314.
Texto completoPiltan, Farzin, Mansour Bazregar, Marzieh Kamgari, Mojdeh Piran y Mehdi Akbari. "Quality Model and Artificial Intelligence Base Fuel Ratio Management with Applications to Automotive Engine". IAES International Journal of Artificial Intelligence (IJ-AI) 3, n.º 1 (1 de marzo de 2014): 36. http://dx.doi.org/10.11591/ijai.v3.i1.pp36-48.
Texto completoAldakheel, Joud, Myriam Bahrar y Mohamed El Mankibi. "Indoor environmental quality evaluation of smart/artificial intelligence techniques in buildings – a review". E3S Web of Conferences 396 (2023): 01101. http://dx.doi.org/10.1051/e3sconf/202339601101.
Texto completoPetry, L., T. Meiers, D. Reuschenberg, S. Mirzavand Borujeni, J. Arndt, L. Odenthal, T. Erbertseder et al. "DESIGN AND RESULTS OF AN AI-BASED FORECASTING OF AIR POLLUTANTS FOR SMART CITIES". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences VIII-4/W1-2021 (3 de septiembre de 2021): 89–96. http://dx.doi.org/10.5194/isprs-annals-viii-4-w1-2021-89-2021.
Texto completoNadiri, Ataallah, Marwa M. Hassan y Somayeh Asadi. "Supervised Intelligence Committee Machine to Evaluate Field Performance of Photocatalytic Asphalt Pavement for Ambient Air Purification". Transportation Research Record: Journal of the Transportation Research Board 2528, n.º 1 (enero de 2015): 96–105. http://dx.doi.org/10.3141/2528-11.
Texto completoFu, Leiming, Junlong Li y Yifei Chen. "An innovative decision making method for air quality monitoring based on big data-assisted artificial intelligence technique". Journal of Innovation & Knowledge 8, n.º 2 (abril de 2023): 100294. http://dx.doi.org/10.1016/j.jik.2022.100294.
Texto completoYigitcanlar, Tan y Federico Cugurullo. "The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities". Sustainability 12, n.º 20 (15 de octubre de 2020): 8548. http://dx.doi.org/10.3390/su12208548.
Texto completoSoares, Paulo Henrique, Johny Paulo Monteiro, Fernando José Gaioto, Luciano Ogiboski y Cid Marcos Gonçalves Andrade. "Use of Association Algorithms in Air Quality Monitoring". Atmosphere 14, n.º 4 (30 de marzo de 2023): 648. http://dx.doi.org/10.3390/atmos14040648.
Texto completoShah, Sayed Khushal, Zeenat Tariq, Jeehwan Lee y Yugyung Lee. "Event-Driven Deep Learning for Edge Intelligence (EDL-EI)". Sensors 21, n.º 18 (8 de septiembre de 2021): 6023. http://dx.doi.org/10.3390/s21186023.
Texto completoAshikyan, Oganes, Donald Chan, Daniel S. Moore, Uma Thakur y Avneesh Chhabra. "Quality of Hand Radiograph Collimation Determined by Artificial Intelligence Algorithm Correlates with Radiograph Quality Scores Assigned by Radiologists". Radiation 1, n.º 2 (8 de abril de 2021): 116–22. http://dx.doi.org/10.3390/radiation1020010.
Texto completoArroyo, Patricia, Jesús Lozano y José Suárez. "Evolution of Wireless Sensor Network for Air Quality Measurements". Electronics 7, n.º 12 (22 de noviembre de 2018): 342. http://dx.doi.org/10.3390/electronics7120342.
Texto completoKrishnan, Srivatsan, Behzad Boroujerdian, William Fu, Aleksandra Faust y Vijay Janapa Reddi. "Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation". Machine Learning 110, n.º 9 (7 de julio de 2021): 2501–40. http://dx.doi.org/10.1007/s10994-021-06006-6.
Texto completoDemmler, Joanne C., Ákos Gosztonyi, Yaxing Du, Matti Leinonen, Laura Ruotsalainen, Leena Järvi y Sanna Ala-Mantila. "A novel approach of creating sustainable urban planning solutions that optimise the local air quality and environmental equity in Helsinki, Finland: The CouSCOUS study protocol". PLOS ONE 16, n.º 12 (2 de diciembre de 2021): e0260009. http://dx.doi.org/10.1371/journal.pone.0260009.
Texto completoLiu, Ruifang, Lixia Pang, Yidian Yang, Yuxing Gao, Bei Gao, Feng Liu y Li Wang. "Air Quality—Meteorology Correlation Modeling Using Random Forest and Neural Network". Sustainability 15, n.º 5 (3 de marzo de 2023): 4531. http://dx.doi.org/10.3390/su15054531.
Texto completoSpatola, Nicolas y Karl F. Macdorman. "Why Real Citizens Would Turn to Artificial Leaders". Digital Government: Research and Practice 2, n.º 3 (julio de 2021): 1–24. http://dx.doi.org/10.1145/3447954.
Texto completoArroyo, Patricia, José Herrero, José Suárez y Jesús Lozano. "Wireless Sensor Network Combined with Cloud Computing for Air Quality Monitoring". Sensors 19, n.º 3 (8 de febrero de 2019): 691. http://dx.doi.org/10.3390/s19030691.
Texto completoBlagovechshenskiy, Viktor, Akhmetkal Medeu, Tamara Gulyayeva, Vitaliy Zhdanov, Sandugash Ranova, Aidana Kamalbekova y Ulzhan Aldabergen. "Application of Artificial Intelligence in the Assessment and Forecast of Avalanche Danger in the Ile Alatau Ridge". Water 15, n.º 7 (6 de abril de 2023): 1438. http://dx.doi.org/10.3390/w15071438.
Texto completoPrzybył, Krzysztof y Krzysztof Koszela. "Applications MLP and Other Methods in Artificial Intelligence of Fruit and Vegetable in Convective and Spray Drying". Applied Sciences 13, n.º 5 (25 de febrero de 2023): 2965. http://dx.doi.org/10.3390/app13052965.
Texto completoVeiga, Tiago, Arne Munch-Ellingsen, Christoforos Papastergiopoulos, Dimitrios Tzovaras, Ilias Kalamaras, Kerstin Bach, Konstantinos Votis y Sigmund Akselsen. "From a Low-Cost Air Quality Sensor Network to Decision Support Services: Steps towards Data Calibration and Service Development". Sensors 21, n.º 9 (5 de mayo de 2021): 3190. http://dx.doi.org/10.3390/s21093190.
Texto completoHong, Hyunsu, IlHwan Choi, Hyungjin Jeon, Yumi Kim, Jae-Bum Lee, Cheong Hee Park y Hyeon Soo Kim. "An Air Pollutants Prediction Method Integrating Numerical Models and Artificial Intelligence Models Targeting the Area around Busan Port in Korea". Atmosphere 13, n.º 9 (9 de septiembre de 2022): 1462. http://dx.doi.org/10.3390/atmos13091462.
Texto completoEt. al., D. Saravanan ,. "Predict and Measure Air Quality Monitoring System Using Machine Learning". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, n.º 2 (10 de abril de 2021): 2562–71. http://dx.doi.org/10.17762/turcomat.v12i2.2217.
Texto completoShan, Yulong, Ren Zhang, Ismail Gultepe, Yaojia Zhang, Ming Li y Yangjun Wang. "Gridded Visibility Products over Marine Environments Based on Artificial Neural Network Analysis". Applied Sciences 9, n.º 21 (23 de octubre de 2019): 4487. http://dx.doi.org/10.3390/app9214487.
Texto completoČorný, Ivan. "Possibilities of Application of Computational Intelligence in Monitoring of Heat Production and Supply". Key Engineering Materials 669 (octubre de 2015): 560–67. http://dx.doi.org/10.4028/www.scientific.net/kem.669.560.
Texto completoSobrino García, Itziar. "Innovative cities for E-governments. Artificial Intelligence initiatives in the public sector and the conflicts with privacy". Revista de Direito Administrativo e Infraestrutura | RDAI 6, n.º 21 (29 de mayo de 2022): 215–30. http://dx.doi.org/10.48143/rdai.21.isobrinho.
Texto completoMarzouk, Mohamed y Mohamed Atef. "Assessment of Indoor Air Quality in Academic Buildings Using IoT and Deep Learning". Sustainability 14, n.º 12 (8 de junio de 2022): 7015. http://dx.doi.org/10.3390/su14127015.
Texto completoZhu, Yingbo, Shahriar Abdullah Al-Ahmed, Muhammad Zeeshan Shakir y Joanna Isabelle Olszewska. "LSTM-Based IoT-Enabled CO2 Steady-State Forecasting for Indoor Air Quality Monitoring". Electronics 12, n.º 1 (27 de diciembre de 2022): 107. http://dx.doi.org/10.3390/electronics12010107.
Texto completoAryal, Yog. "Application of Artificial Intelligence Models for Aeolian Dust Prediction at Different Temporal Scales: A Case with Limited Climatic Data". AI 3, n.º 3 (22 de agosto de 2022): 707–18. http://dx.doi.org/10.3390/ai3030041.
Texto completoSpyrou, Evangelos D., Chrysostomos Stylios y Ioannis Tsoulos. "Classification of CO Environmental Parameter for Air Pollution Monitoring with Grammatical Evolution". Algorithms 16, n.º 6 (15 de junio de 2023): 300. http://dx.doi.org/10.3390/a16060300.
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