Search Results - "Deep stacked Autoencoder"

Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and k -Nearest Neighbor Scheme by Dairi, Abdelkader, Harrou, Fouzi, Ying Sun, Senouci, Mohamed

“…Obstacle detection is an essential element for the development of intelligent transportation systems so that accidents can be avoided. In this paper, we…”
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Deep Stacked Autoencoder Based Long-Term Spectrum Prediction Using Real-World Data by Pan, Guangliang, Wu, Qihui, Ding, Guoru, Wang, Wei, Li, Jie, Xu, Fuyuan, Zhou, Bo

“…Spectrum prediction is challenging due to its multi-dimension, complex inherent dependency, and heterogeneity among the spectrum data. In this paper, we first…”
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KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network by Khamparia, Aditya, Saini, Gurinder, Pandey, Babita, Tiwari, Shrasti, Gupta, Deepak, Khanna, Ashish

“…In recent times, Chronic Kidney Disease (CKD) has affected more than 10% of the population worldwide and millions of people die every year. So, early-stage…”
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IMS-CDA: Prediction of CircRNA-Disease Associations From the Integration of Multisource Similarity Information With Deep Stacked Autoencoder Model by Wang, Lei, You, Zhu-Hong, Li, Jian-Qiang, Huang, Yu-An

“…Emerging evidence indicates that circular RNA (circRNA) has been an indispensable role in the pathogenesis of human complex diseases and many critical…”
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Feature selection and hybrid CNNF deep stacked autoencoder for botnet attack detection in IoT by Kalidindi, Archana, Arrama, Mahesh Babu

“…Botnet attack is a severe cyber security issue, which occurs in the Internet of Things (IoT). These attacks are carried out by hackers to acquire control of…”
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Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System by Alo, Uzoma Rita, Nweke, Henry Friday, Teh, Ying Wah, Murtaza, Ghulam

“…Human motion analysis using a smartphone-embedded accelerometer sensor provided important context for the identification of static, dynamic, and complex…”
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Positional-attention based bidirectional deep stacked AutoEncoder for aspect based sentimental analysis by Devi, S. Anjali, Ram, M. Sitha, Dileep, Pulugu, Pappu, Sasibhushana Rao, Rao, T. Subha Mastan, Malyadri, Mula

“…With the rapid growth of Internet technology and social networks, the generation of text-based information on the web is increased. To ease the Natural…”
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Evolutionary-Based Deep Stacked Autoencoder for Intrusion Detection in a Cloud-Based Cyber-Physical System by Duhayyim, Mesfer Al, Alissa, Khalid A., Alrayes, Fatma S., Alotaibi, Saud S., Tag El Din, ElSayed M., Abdelmageed, Amgad Atta, Yaseen, Ishfaq, Motwakel, Abdelwahed

“…As cyberattacks develop in volume and complexity, machine learning (ML) was extremely implemented for managing several cybersecurity attacks and malicious…”
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An Intelligent Gestational Diabetes Diagnosis Model Using Deep Stacked Autoencoder by Sumathi, A., Meganathan, S., Vijila Ravisankar, B.

“… In this view, the current research article presents a new outlier detection with deep-stacked Autoencoder (OD-DSAE…”
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Optimization-enabled deep stacked autoencoder for occupancy detection by Shirsat, Kavita Pankaj, Bhole, Girish P.

“… the person’s count in the room or building using the proposed Chaotic Whale Spider Monkey (ChaoWSM) + Deep stacked autoencoder…”
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Cyber forensic framework for big data analytics using Sunflower Jaya optimization‐based Deep stacked autoencoder by Venugopal, Sabaresan, Sathianesan, Godfrey Winster, Rengaswamy, Ramesh

“…‐based Deep stacked autoencoder (SFJO‐based Deep stacked autoencoder) is proposed to perform the cyber forensic framework…”
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Hexagonal Volume Local Binary Pattern (H-VLBP) with deep stacked autoencoder for Human Action Recognition by Kiruba, K, Shiloah, Elizabeth D, Sunil, Retmin Raj C

“…Human action recognition plays a significant role in a number of computer vision applications. This work is based on three processing stages. In the first…”
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Transformer fault diagnosis based on adversarial generative networks and deep stacked autoencoder by Zhang, Lei, Xu, Zhongyang, Lu, Chen, Qiao, Tianjiao, Su, Hongzhi, Luo, Yazhou

“…Establishing a deep learning model for transformer fault diagnosis using transformer oil chromatogram data requires a large number of fault samples. The lack…”
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Adaptive rag-bull rider: A modified self-adaptive optimization algorithm for epileptic seizure detection with deep stacked autoencoder using electroencephalogram by Prabin Jose, J., Sundaram, M., Jaffino, G.

“…•Here, Adaptive rag-ROA is used to train deep-stacked autoencoder (Deep SAE) for discovering epileptic seizures…”
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A Secure Intrusion Detection System in Cyberphysical Systems Using a Parameter-Tuned Deep-Stacked Autoencoder by Aljehane, Nojood O

“…Cyber physical systems (CPSs) are a networked system of cyber (computation, communication) and physical (sensors, actuators) elements that interact in a…”
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DensePILAE: a feature reuse pseudoinverse learning algorithm for deep stacked autoencoder by Wang, Jue, Guo, Ping, Li, Yanjun

“…Autoencoder has been widely used as a feature learning technique. In many works of autoencoder, the features of the original input are usually extracted layer…”
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Robust Gesture Recognition and Classification for Visually Impaired Persons Using Growth Optimizer with Deep Stacked Autoencoder by Maashi, Mashael, Al-Hagery, Mohammed Abdullah, Rizwanullah, Mohammed, Osman, Azza Elneil

“…Visual impairment affects the major population of the world, and impaired vision people need assistance for their day-to-day activities. With the enormous…”
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Computer Vision with Optimal Deep Stacked Autoencoder-based Fall Activity Recognition for Disabled Persons in the IoT Environment by Alabdulkreem, Eatedal, Marzouk, Radwa, Alduhayyem, Mesfer, Al-Hagery, Mohammed Abdullah, Motwakel, Abdelwahed, Hamza, Manar Ahmed

“…Remote monitoring of fall conditions or actions and the daily life of disabled victims is one of the indispensable purposes of contemporary telemedicine…”
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Cyber Physical Security Analytics for Transactive Energy Systems by Zhang, Y., Krishnan, V. V. G., Pi, J., Kaur, K., Srivastava, A., Hahn, A., Suresh, S.

“…With the significant increase in integration of renewable energy generation into the electric grid, market-based transactive exchanges between energy producers…”
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FDN-SA: Fuzzy deep neural-stacked autoencoder-based phishing attack detection in social engineering by Vidyasri, P., Suresh, S.

“…Phishing attacks have emerged as a major social engineering threat that affects businesses, governments, and general internet users. This work proposes a…”
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