Search Results - "Deep neural network algorithms"

Improving Smart Cities Safety Using Sound Events Detection Based on Deep Neural Network Algorithms by Ciaburro, Giuseppe, Iannace, Gino

“…In recent years, security in urban areas has gradually assumed a central position, focusing increasing attention on citizens, institutions and political…”
Get full text

FEDetect: A Federated Learning-Based Malware Detection and Classification Using Deep Neural Network Algorithms by Çıplak, Zeki, Yıldız, Kazım, Altınkaya, Şahsene

“…The growing importance of data security in modern information systems extends beyond the preventing malicious software and includes the critical topic of data…”
Get full text

Integrating eco-environment impact and eco-tourism using deep neural network algorithms in the GIoT environment by Li, Hui

“…The incorporation of Internet of Things (IoT) expertise into eco-friendly environments and eco-tourism has profoundly enriched our way of life. The…”
Get full text

Process Prediction and Feature Visualization of Meltblown Nonwoven Fabrics Using Scanning Electron Microscopic (SEM) Image-Based Deep Neural Network Algorithms by Cho, Kyung-Chul, Park, Si-Woo, Lee, Injun, Shim, Jaesool

“… and the performance of meltblown nonwoven fabrics. Deep neural network algorithms, including convolutional neural networks (CNNs…”
Get full text

Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance and Finance by Frey, Rüdiger, Köck, Verena

“…In this paper we study deep neural network algorithms for solving linear and semilinear parabolic partial integro-differential equations with boundary conditions in high dimension…”
Get full text

An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms by Munaye, Yirga Yayeh, Tarekegn, Getaneh Berie, Lin, Hsin-Piao, Adege, Abebe Belay, Yen, Lei

“…Indoor and outdoor positioning lets to offer universal location services in industry and academia. Wi-Fi and Global Positioning System (GPS) are the promising…”
Get full text

Comprehensive approach for solving multimodal data analysis problems based on integration of evolutionary, neural and deep neural network algorithms by Ivanov, I, Sopov, E, Panfilov, I

“…In this work we propose the comprehensive approach for solving multimodal data analysis problems. This approach involves multimodal data fusion techniques,…”
Get full text

Performance analysis of a degraded PEM fuel cell stack for hydrogen passenger vehicles based on machine learning algorithms in real driving conditions by Raeesi, Mehrdad, Changizian, Sina, Ahmadi, Pouria, Khoshnevisan, Alireza

“…•The Deep Neural Network algorithm has the most accurate prediction among the other.•Dynamic simulation of a fresh…”
Get full text

End-to-End Multitask Learning With Vision Transformer by Tian, Yingjie, Bai, Kunlong

“…Multitask learning (MTL) is a challenging puzzle, particularly in the realm of computer vision (CV). Setting up vanilla deep MTL requires either hard or soft…”
Get full text

Design of English Machine Translation Models Based on Deep Neural Network Algorithms by Ye, Ying

“…To enhance the accuracy and fluency of English machine translation, this study designed a translation model based on deep neural network algorithms…”
Get full text

The Impact of Varying Batch Sizes on the Deep Neural Network Algorithms Performance by Muharakah, Naemah, Sihombing, Poltak, Efendi, Syahril, Fahmi, Fahmi

“…Batch size is one of the determining factors in the quantity of sample data used in one iterative model training in deep learning. One of the key factors…”
Get full text

A Systematic Analysis of Load Balance in the Cloud Computing Based on Optimization and Deep Neural Network Algorithms by Vijaykumar, S., Chandre, Shanker

“… The optimization methods and deep neural network algorithms are considered for the analysis of load balancing…”
Get full text

Comparison of Conventional Machine Learning and Deep Neural Network Algorithms in the Prediction of Monkey-Pox by Agustyaningrum, Cucu Ika, Dahlia, Rizka, Pahlevi, Omar

“…  The test results demonstrate that using sigmoid activation function parameters, the deep neural network algorithm's accuracy is 70.08%, F1 score is 79.18%, precision is 68.59%, recall is 62.65%, and AUC is 62.65…”
Get full text

Comparison of Conventional Machine Learning and Deep Neural Network Algorithms in the Prediction of Monkey-Pox by Agustyaningrum, Cucu Ika, Dahlia, Rizka, Pahlevi, Omar

“… The test results demonstrate that using sigmoid activation function parameters, the deep neural network algorithm's accuracy is 70.08%, F1 score is 79.18%, precision is 68.59%, recall is 62.65%, and AUC is 62.65…”
Get full text

Short Text Sentiment Classification Using Bayesian and Deep Neural Networks by Shi, Zhan, Fan, Chongjun

“… This paper mainly studies the research and analysis of machine short text sentiment classification based on Bayesian network and deep neural network algorithm…”
Get full text

Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance Mathematics by Frey, Rüdiger, Köck, Verena

“…; results for integro-differential equations on the other hand are scarce. In this paper we study deep neural network algorithms for solving linear and semilinear…”
Get full text

Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance Mathematics by Frey, Rudiger, Kock, Verena

“…; results for integro-differential equations on the other hand are scarce. In this paper we study deep neural network algorithms for solving linear and semilinear…”
Get full text

Deep Neural Networks Algorithms for Stochastic Control Problems on Finite Horizon: Numerical Applications by Bachouch, Achref, Huré, Côme, Langrené, Nicolas, Pham, Huyên

“…This paper presents several numerical applications of deep learning-based algorithms for discrete-time stochastic control problems in finite time horizon that…”
Get full text

DeepBHCP: Deep neural network algorithm for solving backward heat conduction problems by Mostajeran, F., Mokhtari, R.

“…This paper extends a deep neural network method, a semi-supervised one, to solve backward heat conduction problems which have been long-standing computational…”
Get full text

Deep neural network algorithm for predicting the reaction performance of Cr(VI) removal by S-ZVI by Wang, Xiao, He, Bo, Li, Jun, Zhang, Yanshi, Zhang, Yiqiao, Wang, Chunguang, Zhao, Chengxuan, Xu, Chunhua

“…Sulfidation to zero-valent iron (S-ZVI) is efficient and promising strategy in environmental remediation. Due to the complexity of reaction system, many…”
Get full text