Výsledky vyhľadávania - "stacked sparse denoising autoencoder (SSDAE)"

Enhanced CNN for Fruit Disease Detection and Grading Classification Using SSDAE-SVM for Postharvest Fruits Autor Patel, Himanshu B., Patil, Nitin J.

“…In the realm of agriculture, leveraging image processing has become pivotal for robust image analysis, especially in detecting fruit diseases. However,…”
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A novel optimization-driven deep learning framework for the detection of DDoS attacks Autor Batchu, Raj Kumar, Bikku, Thulasi, Thota, Srinivasarao, Seetha, Hari, Ayoade, Abayomi Ayotunde

“…Distributed denial of service (DDoS) attack is one of the most hazardous assaults in cloud computing or networking. By depleting resources, this attack renders…”
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Deep learning-based feature selection for detection of autism spectrum disorder Autor Nafisah, Ibrahim, Mahmoud, Nermine, Ewees, Ahmed A., Khattap, Mohamed G., Dahou, Abdelghani, Alghamdi, Safar M., Fares, Ibrahim A., Azmi Al-Betar, Mohammed, Abd Elaziz, Mohamed

“… A hybrid model combining Stacked Sparse Denoising Autoencoder (SSDAE) and Multi-Layer Perceptron (MLP…”
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A deep neural network with hybrid spotted hyena optimizer and grasshopper optimization algorithm for copy move forgery detection Autor Gupta, Ruchi, Singh, Pushpa, Alam, Tanweer, Agarwal, Shivani

“… Proposed a novel deep learning technique stacked sparse denoising autoencoder (SSDAE) to classify the images as legitimate…”
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A Novel Anti-Risk Method for Portfolio Trading Using Deep Reinforcement Learning Autor Yue, Han, Liu, Jiapeng, Tian, Dongmei, Zhang, Qin

“…). It consists of a stacked sparse denoising autoencoder (SSDAE) network and an actor–critic based reinforcement learning (RL) agent…”
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Applications of Markov Decision Process Model and Deep Learning in Quantitative Portfolio Management during the COVID-19 Pandemic Autor Yue, Han, Liu, Jiapeng, Zhang, Qin

“…Whether for institutional investors or individual investors, there is an urgent need to explore autonomous models that can adapt to the non-stationary,…”
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Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder Autor Dai, Juying, Tang, Jian, Shao, Faming, Huang, Shuzhan, Wang, Yangyang

“… To realize representative features mining and automatic recognition of bearing health condition, a diagnostic model of stacked sparse denoising autoencoder (SSDAE…”
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Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals Autor Gupta, Kavya, Bhowmick, Brojeshwar, Majumdar, Angshul

“… is that the inversion is time-consuming and hence not suitable for real-time applications. With the recent advent of deep learning, Stacked Sparse Denoising Autoencoder (SSDAE…”
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Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals Autor Gupta, Kavya, Bhowmick, Brojeshwar, Majumdar, Angshul

“… With the recent advent of deep learning, Stacked Sparse Denoising Autoencoder (SSDAE) has been used for learning inversion in an inductive setup…”
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Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine Autor Zhang, Nana, Ying, Shi, Zhu, Kun, Zhu, Dandan

“… To address these two issues, a novel defect prediction model called SSEPG based on Stacked Sparse Denoising AutoEncoders (SSDAE…”
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