Artigos de revistas sobre o tema "Contextual anomalies"
Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos
Veja os 50 melhores artigos de revistas para estudos sobre o assunto "Contextual anomalies".
Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.
Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.
Veja os artigos de revistas das mais diversas áreas científicas e compile uma bibliografia correta.
Yu, Xiang, Hui Lu, Xianfei Yang, Ying Chen, Haifeng Song, Jianhua Li e Wei Shi. "An adaptive method based on contextual anomaly detection in Internet of Things through wireless sensor networks". International Journal of Distributed Sensor Networks 16, n.º 5 (maio de 2020): 155014772092047. http://dx.doi.org/10.1177/1550147720920478.
Texto completo da fonteFilik, Ruth. "Contextual override of pragmatic anomalies: Evidence from eye movements". Cognition 106, n.º 2 (fevereiro de 2008): 1038–46. http://dx.doi.org/10.1016/j.cognition.2007.04.006.
Texto completo da fonteNgueilbaye, Alladoumbaye, Hongzhi Wang, Daouda Ahmat Mahamat, Ibrahim A. Elgendy e Sahalu B. Junaidu. "Methods for detecting and correcting contextual data quality problems". Intelligent Data Analysis 25, n.º 4 (9 de julho de 2021): 763–87. http://dx.doi.org/10.3233/ida-205282.
Texto completo da fonteClausen, Henry, Gudmund Grov e David Aspinall. "CBAM: A Contextual Model for Network Anomaly Detection". Computers 10, n.º 6 (11 de junho de 2021): 79. http://dx.doi.org/10.3390/computers10060079.
Texto completo da fonteSeymour, Deni J. "Contextual Incongruities, Statistical Outliers, and Anomalies: Targeting Inconspicuous Occupational Events". American Antiquity 75, n.º 1 (janeiro de 2010): 158–76. http://dx.doi.org/10.7183/0002-7316.75.1.158.
Texto completo da fonteDou, Shaoyu, Kai Yang e H. Vincent Poor. "PC2A: Predicting Collective Contextual Anomalies via LSTM With Deep Generative Model". IEEE Internet of Things Journal 6, n.º 6 (dezembro de 2019): 9645–55. http://dx.doi.org/10.1109/jiot.2019.2930202.
Texto completo da fonteWei, Ji Dong, e Ge Guo. "Multi-Sensor Stockline Tracking within a Blast Furnace". Applied Mechanics and Materials 701-702 (dezembro de 2014): 522–27. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.522.
Texto completo da fonteAl-Gabalawy, Mostafa. "Detecting anomalies within Unmanned Aerial Vehicle (UAV) video based on contextual saliency". Applied Soft Computing 96 (novembro de 2020): 106715. http://dx.doi.org/10.1016/j.asoc.2020.106715.
Texto completo da fonteFrolova, E. A. "Typology of speech anomalies in the present-day advertising language". Russian language at school 84, n.º 3 (22 de maio de 2023): 68–76. http://dx.doi.org/10.30515/0131-6141-2023-84-3-68-76.
Texto completo da fonteZhao, Bo, Xiang Li, Jiayue Li, Jianwen Zou e Yifan Liu. "An Area-Context-Based Credibility Detection for Big Data in IoT". Mobile Information Systems 2020 (25 de janeiro de 2020): 1–12. http://dx.doi.org/10.1155/2020/5068731.
Texto completo da fonteBoukela, Lynda, Gongxuan Zhang, Meziane Yacoub, Samia Bouzefrane e Sajjad Bagheri Baba Ahmadi. "An approach for unsupervised contextual anomaly detection and characterization". Intelligent Data Analysis 26, n.º 5 (5 de setembro de 2022): 1185–209. http://dx.doi.org/10.3233/ida-215906.
Texto completo da fonteDias, Maurício Araújo, Giovanna Carreira Marinho, Rogério Galante Negri, Wallace Casaca, Ignácio Bravo Muñoz e Danilo Medeiros Eler. "A Machine Learning Strategy Based on Kittler’s Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments". Remote Sensing 14, n.º 9 (6 de maio de 2022): 2222. http://dx.doi.org/10.3390/rs14092222.
Texto completo da fonteChang, Ruohan, Xiaohong Yang e Yufang Yang. "Processing good-fit anomalies is modulated by contextual accessibility during discourse comprehension: ERP evidence". Language, Cognition and Neuroscience 35, n.º 10 (22 de junho de 2020): 1423–34. http://dx.doi.org/10.1080/23273798.2020.1784448.
Texto completo da fonteXu, Liyan, Kang Xu, Yinchuan Qin, Yixuan Li, Xingting Huang, Zhicheng Lin, Ning Ye e Xuechun Ji. "TGAN-AD: Transformer-Based GAN for Anomaly Detection of Time Series Data". Applied Sciences 12, n.º 16 (12 de agosto de 2022): 8085. http://dx.doi.org/10.3390/app12168085.
Texto completo da fonteSuryadi, Taufik, Kumalasari Kumalasari e Kulsum Kulsum. "Ethical and Medicolegal Considerations in the Termination of Pregnancy Due to Lethal Congenital Anomalies in Banda Aceh, Indonesia". Open Access Macedonian Journal of Medical Sciences 8, n.º C (24 de setembro de 2020): 167–71. http://dx.doi.org/10.3889/oamjms.2020.5085.
Texto completo da fonteTu, Yuanpeng, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang e Cairong Zhao. "Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 19 (24 de março de 2024): 21637–45. http://dx.doi.org/10.1609/aaai.v38i19.30162.
Texto completo da fonteSerrano-Guerrero, Xavier, Guillermo Escrivá-Escrivá, Santiago Luna-Romero e Jean-Michel Clairand. "A Time-Series Treatment Method to Obtain Electrical Consumption Patterns for Anomalies Detection Improvement in Electrical Consumption Profiles". Energies 13, n.º 5 (26 de fevereiro de 2020): 1046. http://dx.doi.org/10.3390/en13051046.
Texto completo da fonteMoraes, Anaelena Bragança de, Roselaine Ruviaro Zanini, João Riboldi e Elsa Regina Justo Giugliani. "Risk factors for low birth weight in Rio Grande do Sul State, Brazil: classical and multilevel analysis". Cadernos de Saúde Pública 28, n.º 12 (dezembro de 2012): 2293–305. http://dx.doi.org/10.1590/s0102-311x2012001400008.
Texto completo da fonteKoroliova, Valeria, e Iryna Popova. "Destruction of Communicative Pragmatics in Contemporary Absurdist Dramaturgic Texts". PSYCHOLINGUISTICS 27, n.º 2 (12 de abril de 2020): 195–212. http://dx.doi.org/10.31470/2309-1797-2020-27-2-195-212.
Texto completo da fonteKisters, Philipp, Hanno Schreiber e Janick Edinger. "Categorization of crowd-sensing streaming data for contextual characteristic detection". Journal of Smart Cities and Society 2, n.º 2 (23 de agosto de 2023): 55–75. http://dx.doi.org/10.3233/scs-230013.
Texto completo da fonteMouton, Alice. "Nommer les dieux hittites : au sujet de quelques épithètes divines". Archiv für Religionsgeschichte 21-22, n.º 1 (2 de dezembro de 2020): 225–43. http://dx.doi.org/10.1515/arege-2020-0012.
Texto completo da fonteMontgomery, Jacob M., Santiago Olivella, Joshua D. Potter e Brian F. Crisp. "An Informed Forensics Approach to Detecting Vote Irregularities". Political Analysis 23, n.º 4 (2015): 488–505. http://dx.doi.org/10.1093/pan/mpv023.
Texto completo da fonteNandikotkur, Achyuth, Issa Traore e Mohammad Mamun. "SeniorSentry: Correlation and Mutual Information-Based Contextual Anomaly Detection for Aging in Place". Sensors 23, n.º 15 (28 de julho de 2023): 6752. http://dx.doi.org/10.3390/s23156752.
Texto completo da fonteReshadi, MohammadHossein, Wen Li, Wenjie Xu, Precious Omashor, Albert Dinh, Scott Dick, Yuntong She e Michael Lipsett. "Deep-Shallow Metaclassifier with Synthetic Minority Oversampling for Anomaly Detection in a Time Series". Algorithms 17, n.º 3 (10 de março de 2024): 114. http://dx.doi.org/10.3390/a17030114.
Texto completo da fonteDias, Maurício Araújo, Erivaldo Antônio da Silva, Samara Calçado de Azevedo, Wallace Casaca, Thiago Statella e Rogério Galante Negri. "An Incongruence-Based Anomaly Detection Strategy for Analyzing Water Pollution in Images from Remote Sensing". Remote Sensing 12, n.º 1 (20 de dezembro de 2019): 43. http://dx.doi.org/10.3390/rs12010043.
Texto completo da fonteKaradayı, Yıldız, Mehmet N. Aydin e A. Selçuk Öğrenci. "A Hybrid Deep Learning Framework for Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data". Applied Sciences 10, n.º 15 (28 de julho de 2020): 5191. http://dx.doi.org/10.3390/app10155191.
Texto completo da fonteMarkov, G. A. "Application of a Neocortex Model to Identify Contextual Anomalies in the Industrial Internet of Things Network Traffic". Automatic Control and Computer Sciences 57, n.º 8 (dezembro de 2023): 1018–24. http://dx.doi.org/10.3103/s0146411623080163.
Texto completo da fonteHally, Bryan, Luke Wallace, Karin Reinke e Simon Jones. "A New Spatio-Temporal Selection Method for Estimating Upwelling Medium-Wave Radiation". Remote Sensing 15, n.º 14 (12 de julho de 2023): 3521. http://dx.doi.org/10.3390/rs15143521.
Texto completo da fonteBadri Babadi, Alireza, Ahmad Reza Askari e Amir Nadri. "Designing a development physical training model for students of Iranian medical sciences universities". Journal of Multidisciplinary Care 11, n.º 4 (30 de dezembro de 2022): 196–205. http://dx.doi.org/10.34172/jmdc.2022.1150.
Texto completo da fonteBrett, C. M. C., E. P. Peters, L. C. Johns, P. Tabraham, L. R. Valmaggia e P. K. Mcguire. "Appraisals of Anomalous Experiences Interview (AANEX): a multidimensional measure of psychological responses to anomalies associated with psychosis". British Journal of Psychiatry 191, S51 (dezembro de 2007): s23—s30. http://dx.doi.org/10.1192/bjp.191.51.s23.
Texto completo da fonteThakur, Nirmalya, e Chia Y. Han. "An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments". Information 12, n.º 2 (14 de fevereiro de 2021): 81. http://dx.doi.org/10.3390/info12020081.
Texto completo da fonteZou, Fumin, Yue Xing, Qiang Ren, Feng Guo, Zhaoyi Zhou e Zihan Ye. "Dynamic Anomaly Detection in Gantry Transactions Using Graph Convolutional Network-Gate Recurrent Unit with Adaptive Attention". Applied Sciences 13, n.º 19 (8 de outubro de 2023): 11068. http://dx.doi.org/10.3390/app131911068.
Texto completo da fonteOjebode, Ayokunmi O., e Idowu O. Odebode. "Onomastics, Medicine and Politics in Femi Osofisan’s The Engagement". Theory and Practice in Language Studies 9, n.º 5 (1 de maio de 2019): 494. http://dx.doi.org/10.17507/tpls.0905.02.
Texto completo da fonteImashev, S. A., e S. V. Parov. "Modified Seasonal Decomposition Variations of Earth Magnetic Field Induction Module". Informacionnye Tehnologii 30, n.º 2 (8 de fevereiro de 2024): 59–67. http://dx.doi.org/10.17587/it.30.59-67.
Texto completo da fonteSufi, Fahim. "A New Social Media-Driven Cyber Threat Intelligence". Electronics 12, n.º 5 (4 de março de 2023): 1242. http://dx.doi.org/10.3390/electronics12051242.
Texto completo da fonteZhang, Huijie, Ke Ren, Yiming Lin, Dezhan Qu e Zhenxin Li. "AirInsight: Visual Exploration and Interpretation of Latent Patterns and Anomalies in Air Quality Data". Sustainability 11, n.º 10 (23 de maio de 2019): 2944. http://dx.doi.org/10.3390/su11102944.
Texto completo da fonteTian, Yuan, Wendong Wang e Jingyuan He. "An IIoT Temporal Data Anomaly Detection Method Combining Transformer and Adversarial Training". International Journal of Information Security and Privacy 18, n.º 1 (7 de maio de 2024): 1–28. http://dx.doi.org/10.4018/ijisp.343306.
Texto completo da fonteAl-Gabalawy, Mostafa. "Removal notice to: “Detecting Anomalies within Unmanned Aerial Vehicle (UAV) Video Based on Contextual Saliency” [Appl. Soft Comput. 96 (2020) 106715]". Applied Soft Computing 110 (outubro de 2021): 107833. http://dx.doi.org/10.1016/j.asoc.2021.107833.
Texto completo da fonteAlbattah, Albatul, e Murad A. Rassam. "A Correlation-Based Anomaly Detection Model for Wireless Body Area Networks Using Convolutional Long Short-Term Memory Neural Network". Sensors 22, n.º 5 (2 de março de 2022): 1951. http://dx.doi.org/10.3390/s22051951.
Texto completo da fonteQarout, Yazan, Yordan P. Raykov e Max A. Little. "Probabilistic Modelling for Unsupervised Analysis of Human Behaviour in Smart Cities". Engineering Proceedings 6, n.º 1 (17 de maio de 2021): 35. http://dx.doi.org/10.3390/i3s2021dresden-10099.
Texto completo da fonteQarout, Yazan, Yordan P. Raykov e Max A. Little. "Probabilistic Modelling for Unsupervised Analysis of Human Behaviour in Smart Cities". Sensors 20, n.º 3 (31 de janeiro de 2020): 784. http://dx.doi.org/10.3390/s20030784.
Texto completo da fonteChaudhary, Richa, Shruti Jain, Keerthi Maroju e Anjali Malik. "PANCREAS DISEASE DETECTION AND SEGMENTATION USING ABDOMINAL CT SCAN". International Journal of Advanced Research 11, n.º 04 (30 de abril de 2023): 1528–36. http://dx.doi.org/10.21474/ijar01/16819.
Texto completo da fonteJunwei Zhang, Xiaofang Chen, Jinkai Sun, Yulu Ren,. "An anomaly Detection Method for Electricity Consumption Data Based on CNN-BiLSTM-Attention". Journal of Electrical Systems 20, n.º 2 (4 de abril de 2024): 1924–32. http://dx.doi.org/10.52783/jes.1639.
Texto completo da fonteKnights, Jonathan, Zahra Heidary e Jeffrey M. Cochran. "Detection of Behavioral Anomalies in Medication Adherence Patterns Among Patients With Serious Mental Illness Engaged With a Digital Medicine System". JMIR Mental Health 7, n.º 9 (10 de setembro de 2020): e21378. http://dx.doi.org/10.2196/21378.
Texto completo da fonteVerhoeven, W. M. A., J. I. M. Egger e N. de Leeuw. "Differentiated psychopharmacological treatment in three genetic subtypes of 22q11.2 deletion syndrome". European Psychiatry 41, S1 (abril de 2017): S388—S389. http://dx.doi.org/10.1016/j.eurpsy.2017.02.433.
Texto completo da fonteGomes, Juliana Novo, e Aniela Improta França. "Processing it-cleft sentences in Brazilian Portuguese: an ERP study of leftward-moved constituents in role-reversed sentences". Revista Linguíʃtica 16, Esp. (7 de novembro de 2020): 495–520. http://dx.doi.org/10.31513/linguistica.2020.v16nesp.a43720.
Texto completo da fonteNieuwland, Mante S., e Jos J. A. Van Berkum. "When Peanuts Fall in Love: N400 Evidence for the Power of Discourse". Journal of Cognitive Neuroscience 18, n.º 7 (julho de 2006): 1098–111. http://dx.doi.org/10.1162/jocn.2006.18.7.1098.
Texto completo da fonteGhayvat, Hemant, Muhammad Awais, Sharnil Pandya, Hao Ren, Saeed Akbarzadeh, Subhas Chandra Mukhopadhyay, Chen Chen, Prosanta Gope, Arpita Chouhan e Wei Chen. "Smart Aging System: Uncovering the Hidden Wellness Parameter for Well-Being Monitoring and Anomaly Detection". Sensors 19, n.º 4 (13 de fevereiro de 2019): 766. http://dx.doi.org/10.3390/s19040766.
Texto completo da fonteMalhotra, Rakesh, Terry McNeill, Carrie Francis e Tim Mulrooney. "Cartographic Presentation as the Central Theme for Geospatial Education". Abstracts of the ICA 1 (15 de julho de 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-237-2019.
Texto completo da fonteStarliper, Nathan, Farrokh Mohammadzadeh, Tanner Songkakul, Michelle Hernandez, Alper Bozkurt e Edgar Lobaton. "Activity-Aware Wearable System for Power-Efficient Prediction of Physiological Responses". Sensors 19, n.º 3 (22 de janeiro de 2019): 441. http://dx.doi.org/10.3390/s19030441.
Texto completo da fonte