Literatura académica sobre el tema "Optimized detection model"
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Artículos de revistas sobre el tema "Optimized detection model"
Huang, K. "An Optimized LightGBM Model for Fraud Detection". Journal of Physics: Conference Series 1651 (noviembre de 2020): 012111. http://dx.doi.org/10.1088/1742-6596/1651/1/012111.
Texto completoHu, JianSheng, JunJie Ma, Bin Xiao y Rui Zhang. "Improved Lightweight YOLOv3 model for Target Detection Algorithm". Journal of Physics: Conference Series 2370, n.º 1 (1 de noviembre de 2022): 012029. http://dx.doi.org/10.1088/1742-6596/2370/1/012029.
Texto completoBoonsim, Noppakun y Saranya Kanjaruek. "Optimized transfer learning for polyp detection". ECTI Transactions on Computer and Information Technology (ECTI-CIT) 17, n.º 1 (18 de febrero de 2023): 73–81. http://dx.doi.org/10.37936/ecti-cit.2023171.250910.
Texto completoBehera, Bibhuti Bhusana, Binod Kumar Pattanayak y Rajani Kanta Mohanty. "Deep Ensemble Model for Detecting Attacks in Industrial IoT". International Journal of Information Security and Privacy 16, n.º 1 (1 de enero de 2022): 1–29. http://dx.doi.org/10.4018/ijisp.311467.
Texto completoAl-Sarem, Mohammed, Faisal Saeed, Zeyad Ghaleb Al-Mekhlafi, Badiea Abdulkarem Mohammed, Tawfik Al-Hadhrami, Mohammad T. Alshammari, Abdulrahman Alreshidi y Talal Sarheed Alshammari. "An Optimized Stacking Ensemble Model for Phishing Websites Detection". Electronics 10, n.º 11 (28 de mayo de 2021): 1285. http://dx.doi.org/10.3390/electronics10111285.
Texto completoRagab, Mahmoud, Khalid Eljaaly, Maha Farouk S. Sabir, Ehab Bahaudien Ashary, S. M. Abo-Dahab y E. M. Khalil. "Optimized Deep Learning Model for Colorectal Cancer Detection and Classification Model". Computers, Materials & Continua 71, n.º 3 (2022): 5751–64. http://dx.doi.org/10.32604/cmc.2022.024658.
Texto completoVasavi, CH y N. Divya Sruthi. "Detection of Lung Cancer Using Optimized SVM-CNN Model". International Journal for Research in Applied Science and Engineering Technology 11, n.º 6 (30 de junio de 2023): 4608–13. http://dx.doi.org/10.22214/ijraset.2023.54496.
Texto completoGhaleb Al-Mekhlafi, Zeyad, Badiea Abdulkarem Mohammed, Mohammed Al-Sarem, Faisal Saeed, Tawfik Al-Hadhrami, Mohammad T. Alshammari, Abdulrahman Alreshidi y Talal Sarheed Alshammari. "Phishing Websites Detection by Using Optimized Stacking Ensemble Model". Computer Systems Science and Engineering 41, n.º 1 (2022): 109–25. http://dx.doi.org/10.32604/csse.2022.020414.
Texto completoMoukhafi, Mehdi, Khalid El Yassini y Bri Seddik. "Intrusions detection using optimized support vector machine". International Journal of Advances in Applied Sciences 9, n.º 1 (1 de marzo de 2020): 62. http://dx.doi.org/10.11591/ijaas.v9.i1.pp62-66.
Texto completoFeng, Junzhe, Chenhao Yu, Xiaoyi Shi, Zhouzhou Zheng, Liangliang Yang y Yaohua Hu. "Research on Winter Jujube Object Detection Based on Optimized Yolov5s". Agronomy 13, n.º 3 (10 de marzo de 2023): 810. http://dx.doi.org/10.3390/agronomy13030810.
Texto completoTesis sobre el tema "Optimized detection model"
Montes, Martin Alejandro. "Monte carlo simulations as a tool to optimize target detection by AUV/ROV laser line scanners". [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001295.
Texto completoMohan, Rathish. "Algorithmic Optimization of Sensor Placement on Civil Structures for Fault Detection and Isolation". University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1353156107.
Texto completoChauhan, Ajay Singh. "Financial statement fraud detection Model based on Hybrid data mining methods: Proposing an optimized Detection model". Thesis, 2019. http://dspace.dtu.ac.in:8080/jspui/handle/repository/17200.
Texto completoCheng-YuanChen y 陳正元. "Facial Feature Point Detection using Shape Optimized Search and Tracking using Inverse Compositional Active Appearance Models". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/08075334818920959853.
Texto completo國立成功大學
資訊工程學系碩博士班
101
Understanding human action is one of the most important issues of computer vision. In recent years, non-contact human action analysis system using camera has become more and more popular because the price of camera devices are getting lower. In human action analysis systems, facial feature points can tell a lot about the motion of human head such as gazing direction, drowsy and facial expression. In this thesis, a real-time system is proposed to detect the facial feature points and track these points with high accuracy and low computational cost. In the feature point detection algorithm of our system, approximately face position will be detected and compared with each feature template to create the location probability table for each point. After that, we can extract the feature points from the face by maximizing the sum of each feature point's location probability with suitable shape constraint. The feature point tracking algorithm of our system can be deliberated into three major steps. The first step is warping the face to frontal view by estimating current feature point positions. The second step is to estimate the current warping error by comparing the warped face with the trained frontal face template. The third step is updating the feature point positions by analyzing current warping error. System can track the feature points with high accuracy by iteratively updating the current feature point positions.
HAIKL, Petr. "Ověření funkce bezkontaktního snímače hladiny paliva v palivové nádrži". Master's thesis, 2013. http://www.nusl.cz/ntk/nusl-156178.
Texto completoLibros sobre el tema "Optimized detection model"
Basu, Sanjay. Modeling Public Health and Healthcare Systems. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190667924.001.0001.
Texto completoTaillefer, Raymond y Frans J. Th Wackers. Kinetics of Conventional and New Cardiac Radiotracers. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0004.
Texto completoCapítulos de libros sobre el tema "Optimized detection model"
Abid, Nesrine, Kais Loukil, Walid Ayedi, Ahmed Chiheb Ammari y Mohamed Abid. "Optimized Parallel Model of Covariance Based Person Detection". En Image Analysis and Processing — ICIAP 2015, 287–98. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23234-8_27.
Texto completoSinhmar, Abhinav, Vinamra Malhotra, R. K. Yadav y Manoj Kumar. "Spam Detection Using Genetic Algorithm Optimized LSTM Model". En Computer Networks and Inventive Communication Technologies, 59–72. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3728-5_5.
Texto completoPark, ByoungGun, Ji Su Park y YounSoon Shin. "Optimized Vehicle Fire Detection Model Based on Deep Learning". En Advances in Computer Science and Ubiquitous Computing, 685–91. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1252-0_92.
Texto completoLiu, Lianye, Jinping Liu, Juanjuan Wu, Jiaming Zhou y Meiling Cai. "Novelty Detection-Based Automated Anomaly Identification via Optimized Deep Generative Model". En Big Data, 117–34. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9709-8_9.
Texto completoBodavarapu, Pavan Nageswar Reddy, P. V. V. S. Srinivas, Pragnyaban Mishra, Venkata Naresh Mandhala y Hye-jin Kim. "Optimized Deep Neural Model for Cancer Detection and Classification Over ResNet". En Smart Technologies in Data Science and Communication, 267–80. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1773-7_22.
Texto completoReddy, Mure Vamsi Kalyan, Prithvi K. Murjani, Sujatha Rajkumar, Thomas Chen y V. S. Ajay Chandrasekar. "Optimized CNN Model with Deep Convolutional GAN for Brain Tumor Detection". En Third Congress on Intelligent Systems, 409–25. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9225-4_31.
Texto completoAl-Mekhlafi, Zeyad Ghaleb y Badiea Abdulkarem Mohammed. "Using Genetic Algorithms to Optimized Stacking Ensemble Model for Phishing Websites Detection". En Communications in Computer and Information Science, 447–56. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-8059-5_27.
Texto completoAbid, Nesrine, Tarek Ouni, Kais Loukil, A. Chiheb Ammari y Mohamed Abid. "Optimized Parallel Model of Human Detection Based on the Multi-Scale Covariance Descriptor". En Parallel Processing and Applied Mathematics, 423–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32149-3_40.
Texto completoMatei, Alexander y Stefan Ulbrich. "Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss". En Lecture Notes in Mechanical Engineering, 281–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_22.
Texto completoShead, T. M., I. K. Tezaur, W. L. Davis IV, M. L. Carlson, D. M. Dunlavy, E. J. Parish, P. J. Blonigan, J. Tencer, F. Rizzi y H. Kolla. "A Novel In Situ Machine Learning Framework for Intelligent Data Capture and Event Detection". En Lecture Notes in Energy, 53–87. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16248-0_3.
Texto completoActas de conferencias sobre el tema "Optimized detection model"
Dongdong, Liu, Dou Hongtao, Han Bo y Niu Lei. "An optimized network intrusion detection model". En 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2022. http://dx.doi.org/10.1109/imcec55388.2022.10019952.
Texto completoMohapatra, Saumendra Kumar, Abhishek Das y Mihir Narayan Mohanty. "An Optimized Ensemble Model for COVID Detection". En 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS). IEEE, 2022. http://dx.doi.org/10.1109/mlcss57186.2022.00044.
Texto completoHatua, S., H. Bose y D. N. Ray. "Dynamic and Optimized Model for Stairs Detection". En 2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA). IEEE, 2020. http://dx.doi.org/10.1109/ncetstea48365.2020.9119939.
Texto completoThomas, Jaison Shajan, Sania Ejaz, Zaheeruddin Ahmed y Sushma Hans. "Optimized Car Damaged Detection using CNN and Object Detection Model". En 2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). IEEE, 2023. http://dx.doi.org/10.1109/iccike58312.2023.10131804.
Texto completoTang, Kuan, Fei Yan y Wenbo Liu. "Pedestrian-Vehicle Detection Model Based on Optimized YOLOv3". En 2020 Chinese Automation Congress (CAC). IEEE, 2020. http://dx.doi.org/10.1109/cac51589.2020.9327192.
Texto completoShukla, Ganesh, Bhargav Desai, Parth Mehta y Sunil Karamchandani. "Holistic Siamese Model Optimized for Aged Face-Sketch Similarity Detection". En 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON). IEEE, 2020. http://dx.doi.org/10.1109/gucon48875.2020.9231260.
Texto completoThaseen, I. Sumaiya y Ch Aswani Kumar. "Intrusion detection model using fusion of PCA and optimized SVM". En 2014 International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 2014. http://dx.doi.org/10.1109/ic3i.2014.7019692.
Texto completoWu, Zheng Yi. "Model-Based Leakage Hotspot Detection with Optimized Pressure Logger Placement". En World Environmental and Water Resources Congress 2015. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479162.074.
Texto completoPan, Wen-Tsao y Sheng-Chu Su. "Construction of the optimized production performance detection model using data mining". En 2014 IEEE 9th Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2014. http://dx.doi.org/10.1109/iciea.2014.6931491.
Texto completoZhang, Yan, Hongmei Zhang, Xiangli Zhang y Dongsheng Qi. "Deep Learning Intrusion Detection Model Based on Optimized Imbalanced Network Data". En 2018 IEEE 18th International Conference on Communication Technology (ICCT). IEEE, 2018. http://dx.doi.org/10.1109/icct.2018.8600219.
Texto completoInformes sobre el tema "Optimized detection model"
Tayeb, Shahab. Taming the Data in the Internet of Vehicles. Mineta Transportation Institute, enero de 2022. http://dx.doi.org/10.31979/mti.2022.2014.
Texto completoAlders, George. L51630A In-Line Detection and Sizing of Stress Corrosion Cracks Using EMAT Ultrasonics - Phase II. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), noviembre de 1991. http://dx.doi.org/10.55274/r0011370.
Texto completoAlchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li y A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, noviembre de 2001. http://dx.doi.org/10.32747/2001.7580664.bard.
Texto completoFluhr, Robert y Maor Bar-Peled. Novel Lectin Controls Wound-responses in Arabidopsis. United States Department of Agriculture, enero de 2012. http://dx.doi.org/10.32747/2012.7697123.bard.
Texto completoMultiple Engine Faults Detection Using Variational Mode Decomposition and GA-K-means. SAE International, marzo de 2022. http://dx.doi.org/10.4271/2022-01-0616.
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