Výsledky vyhledávání - "Optimized deep autoencoder"

Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments Autor Ullah, Amin, Muhammad, Khan, Haq, Ijaz Ul, Baik, Sung Wook

“… Firstly, frame level deep features are extracted using a pre-trained CNN model. Next, an optimized deep autoencoder (DAE…”
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Optimized Deep Autoencoder Model for Internet of Things Intruder Detection Autor Lahasan, Badr, Samma, Hussein

“…The development of an optimized deep learning intruder detection model that could be executed on IoT devices with limited hardware support has several…”
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Optimized deep autoencoder and BiLSTM for intrusion detection in IoTs-Fog computing Autor Alqahtani, Abdullah

“…Our world is rapidly evolving toward the Internet of Things (IoT), that connects all gadgets to digital services and simplifies our lives. As IoT devices…”
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OPTIMIZED DEEP AUTOENCODER WITH L1 REGULARIZATION AND DROPOUT FOR ANOMALY DETECTION IN 6G NETWORK SLICING Autor Jennifer Kaunang, Valencia Claudia, Alamsyah, Nur, Parama Yoga, Titan, Hendra, Acep, Budiman, Budiman

“…: a supervised random forest classifier, a basic unsupervised autoencoder, and an optimized deep autoencoder enhanced with L1 regularization and dropout techniques…”
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GOOSE-Optimized Deep Autoencoder for Intrusion Detection in IoMT Networks: A Scalable and Efficient Approach for Healthcare Security Autor Priyadarshani, Pooja Puspita, Nayak, Janmenjoy, Dash, Pandit Byomakesha

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NSGA-II optimized deep autoencoders for enhanced multi-criteria recommendation system Autor Rajput, Ishwari Singh, Tewari, Anand Shanker, Tiwari, Arvind Kumar

“…Recommendation systems are decision-support systems used by e-commerce enterprises to evaluate customers’ preferences and suggest items based on their…”
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A transfer learning-based efficient spatiotemporal human action recognition framework for long and overlapping action classes Autor Bilal, Muhammad, Maqsood, Muazzam, Yasmin, Sadaf, Hasan, Najam Ul, Rho, Seungmin

“…Deep learning base solutions for computer vision made life easier for humans. Video data contain a lot of hidden information and patterns, that can be used for…”
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Optimizing machine learning algorithms for fault classification in rolling bearings: A Bayesian Optimization approach Autor Yousaf, Muhammad Zain, Guerrero, Josep M., Sadiq, Muhammad Tariq

“…Modern power machinery is inherently complex and operates under dynamic operating conditions, so they demand advanced solutions based on deep learning to…”
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A steam turbine anomaly detection method based on O-DAE and SVDD Autor XU Weimin, LI Xuemin, ZHANG Yi, Maulidi Barasa, ZHANG Peize, YI Youzhong

“… A new anomaly detection method is developed base on O-DAE（optimized deep autoencoder） and SVDD（support vector data description…”
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End-to-End IoT Security: Authentication, Vulnerability Exploration and Data Analysis Autor Arockia Baskaran, Annie Gilda Roselin

“…Wireless 6LoWPAN networks consist of resource-starved, small sensor nodes. Secure sensors’ communication is necessary to avoid threats such as a replay attack…”
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ELM优化的深度自编码分类算法 Autor 徐毅, 董晴, 戴鑫, 宋威

“…TP183; 针对自编码神经网络训练时间长的问题,提出了一种改进的深度自编码神经网络算法.首先利用极限学习机(extreme learning machine,ELM)作为自编码块,构建多层自编码神…”
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Intelligent Anomaly Detection for Large Network Traffic With Optimized Deep Clustering (ODC) Algorithm Autor Roselin, Annie Gilda, Nanda, Priyadarsi, Nepal, Surya, He, Xiangjian

“… Thereby we can achieve a reduced reconstruction error rate from the deep AutoEncoder. Secondly, ODC feeds the optimized deep AutoEncoder's latent view to the BIRCH…”
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