过去一年中添加的文章,按日期排序
Comparative Analysis of the Performance of Decision Tree and Random Forest Algorithms in SQL Injection Attack Detection
AB Aulianoor, M Koprawi - Journal of Applied Informatics …, 2024 - jurnal.polibatam.ac.id
2 天前 - … the performance of two machine learning algorithms the … Therefore, machine
learning algorithms are used to identify … Train and Test is used to build models and prepare test …
learning algorithms are used to identify … Train and Test is used to build models and prepare test …
PPSU3: Progettazione di un alimentatore programmabile per le qualificazioni di prodotti industriali controllato tramite FPGA
L MARANER - thesis.unipd.it
2 天前 - … Inoltre, offrono servizi software che includono funzionalità per IoT, Machine Learning,
… (utilizzando Vivado Design Suite) ed i relativi test di qualità e conformità. Il PPSU3 si è …
… (utilizzando Vivado Design Suite) ed i relativi test di qualità e conformità. Il PPSU3 si è …
Co-Optimization of Demand Response Aggregators and Distribution System Operator for Resilient Operation Using Machine Learning Based Wind Generation …
F Hamzeh Aghdam, A Zavodovski, AS Adetunji… - papers.ssrn.com
2 天前 - … We propose the integration of Demand Response Programs (DRPs) to manage
electricity … Through detailed simulations on the IEEE 33-bus test network via GAMS and Python, …
electricity … Through detailed simulations on the IEEE 33-bus test network via GAMS and Python, …
Viabilidad económica de la técnica de ensayos no destructivos emisión acústica a la línea principal de Nafta del campo GLC en Acacías Meta
JM Ortega Rey, M Claro Claro, M Ávila Garzón - 2024 - repositorio.ecci.edu.co
2 天前 - … transversal, en donde se encontró que una empresa de servicios de integridad de
activos deberá adquirir equipos de inspección, capacitar personal y adquirir software para el …
activos deberá adquirir equipos de inspección, capacitar personal y adquirir software para el …
Smart contract vulnerability detection using wide and deep neural network
SB Osei, Z Ma, R Huang - Science of Computer Programming, 2024 - Elsevier
2 天前 - … of deep learning for detecting smart contract vulnerabilities is still emerging, and its
accuracy is not yet optimal. In this paper, we introduce WIDENNET, a deep learning-… testing …
accuracy is not yet optimal. In this paper, we introduce WIDENNET, a deep learning-… testing …
Game psychotherapy intervention based on entertainment interactive robots for preventing depression in university students
L Shulian, D Ruikang, J Haibin, Z Wenxia, X Huali… - Entertainment …, 2024 - Elsevier
2 天前 - … gesture interaction module through comparison and testing with actual user gestures.
… software in this article runs on the Windows 10 operating system and uses deep learning …
… software in this article runs on the Windows 10 operating system and uses deep learning …
Learning on the Space of Probability Measures
V Khurana - 2024 - escholarship.org
2 天前 - … computationally feasible machine learning methods, based … Sinkhorn algorithm or
linear programming, we provide … twosample test and analyzes the behavior of the test in terms …
linear programming, we provide … twosample test and analyzes the behavior of the test in terms …
A Control Method for Power Robot Operation Process Based on Job Files
L Zhong, D Hua, M Yang, X Wen, Y Xie… - … Intelligence in Decision …, 2024 - World Scientific
2 天前 - … The transmission line inspection … software system based on this method have been
successfully piloted in practical applications. Test results show that it achieves high software …
successfully piloted in practical applications. Test results show that it achieves high software …
Faster R-CNN, RetinaNet and Single Shot Detector in Different ResNet backbones for Marine Vessel Detection Using Cross Polarization C-band SAR Imagery
RD Altarez - Remote Sensing Applications: Society and …, 2024 - Elsevier
2 天前 - … The presence of geospatial software with advance deep learning tools advances …
imagery with higher spatial resolution, testing of other deep learning algorithms, finetuning of …
imagery with higher spatial resolution, testing of other deep learning algorithms, finetuning of …
A Risk Prediction Model to Identify People Living with HIV Who are High-risk for Disengagement from Care after HIV Diagnosis in South Africa
D Ibrahima, W Hallee, MN Margeret, I Hari… - AIDS and Behavior, 2024 - Springer
2 天前 - … risk for attrition from care after testing. A machine learning model incorporating clinical
and … the implementation of the proposed risk prediction model in HIV treatment programs. …
and … the implementation of the proposed risk prediction model in HIV treatment programs. …