Reliable Deep Learning and IoT-based Monitoring System for Secure Computer Numerical Control Machines Against Cyber-Attacks with Experimental Verification

Tạp chí - Hội thảo Nghiên cứu Khoa học khác

• Factors affecting the ability of local people to participate in communitybased tourism in the Non Nuoc Cao Bang UNESCO Global Geopark Viet Nam (2022)
• Reliable Deep Learning and IoT-based Monitoring System for Secure Computer Numerical Control Machines Against Cyber-Attacks with Experimental Verification (2022)
• Effective IoT-based Deep Learning Platform for Online Fault Diagnosis of Power Transformers Against Cyberattack and Data Uncertainties (2022)
• Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors (2022)
• The effect of friction on the vibro-impact locomotion system: modeling and dynamic response (2021)
• Ultrasonic assisted nano-fluid MQL in deep drilling of hard-to-cut materials (2021)
• Defective Product Classification System for Smart Factory Based on Deep Learning (2021)
• Mahmoud Elsisi, Minh-Quang Tran, Development of IoT architecture based on deep neural network for automated guided vehicles (2021)
• Analysis of Object Detection Models on Duckietown Robot Based on YOLOv5 Architectures (2021)
• Identification of Milling Stability by using Signal Analysis and Machine Learning Techniques (2021)
• Experimental setup for online fault diagnosis of induction machines via promising IoT and machine learning: Towards industry 4.0 empowerment (2021)
• Robust Model Predictive Control Paradigm for Automatic Voltage Regulators against Uncertainty Based on Optimization Algorithms (2021)
• Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis (2021)
• Steady-state and Time-history Analyses for a Spatial Cable-driven Parallel Robot (2021)
• Effective Multi-sensor Data Fusion for Chatter Detection in Milling Process (2021)
• Towards Secured Online Monitoring for Digitalized GIS Against Cyber-Attacks Based on IoT and Machine Learning (2021)
• Robust Design of ANFIS Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations (2021)
• Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings (2021)
• Торговая война и задача, стоящая перед бумажной отраслью Вьетнама (2020)
• A Study on Weeds Retrieval based on Deep Neural Network Classification Model (2020)
• A study on applying homomorphic filter and Deep Neural Network for apple trees diseases classification (2020)
• Convolutional Neural Network-based image retrieval with degraded samples (2020)
• Deep learning-based defective product classification system for smart factory (2020)
• A Study on Applying the SRCNN Model and Bicubic Interpolation to Enhance Low-Resolution Weeds Images for Weeds Classification (2020)
• Removing Out-Of-Distribution Samples on Classification Task (2020)
• Wind Farm Fault Detection by Monitoring Wind Speed in the Wake Region (2020)
• Multiresponse Optimization of cutting Force and cutting Power in chopping Argiculture Residues Using grey based Taguchi Method (2020)
• Characteristics of paper industry in Vietnam ai its investment orientations until 2030 (2020)
• Торговая война и задача, стоящая перед бумажной отраслью Вьетнама (2020)
• A Study on Weeds Retrieval based on Deep Neural Network Classification Model (2020)
• A study on applying homomorphic filter and Deep Neural Network for apple trees diseases classification (2020)
• Convolutional Neural Network-based image retrieval with degraded samples (2020)
• Deep learning-based defective product classification system for smart factory (2020)
• A Study on Applying the SRCNN Model and Bicubic Interpolation to Enhance Low-Resolution Weeds Images for Weeds Classification (2020)
• Removing Out-Of-Distribution Samples on Classification Task (2020)
• Wind Farm Fault Detection by Monitoring Wind Speed in the Wake Region (2020)
• Multiresponse Optimization of cutting Force and cutting Power in chopping Argiculture Residues Using grey based Taguchi Method (2020)
• Factors affecting tourist satisfaction with tranditional craft tea villages in Thai Nguyen Province (2019)
• Анализ состояния и рекомендации по повышению конкурентоспособности бумажной промышленности (2019)
• Обзор целлюлозно-бумажной промышленности Вьетнама за 2018 г. и рекомендации по повышению производительности (2019)
• Optimizating Spray Parameters of High Velocity Ooxy Fuel (HVOF) for Cr3C2 – NiCr Coating (2019)
• Pavement Crack Detection and Segmentation Based on Deep Neural Network (2019)
• Real-time Moving Object Detection Based on RPCA via GD for FMCW Radar (2019)
• Machinability enhancements of ultrasonic assisted deep drilling aluminum alloys (2019)
• Ultrasonic-Assisted Cutting: A Beneficial Appliciation for Temperature, Torque Reduction àn Cutting Ability Improvement and Deep Drilling of Al-6061 (2018)
• Multi – response optimization of machining Parameter in the Ultrasonoc Assisted Deep hole Drilling using grey-based Taguchi method (2018)
• A new Approach to Modelling the Drilling Torque in Coventional and Ultrasonic Assisted Deep-Hole Drilling Processes (2018)
• Повышение конкурентоспособности целлюлозно-бумажных предприятий Вьетнама (2018)
• Multi – response optimization of 67Ni18Cr5Si4B coating by HVOF soảy using Taguchi-OEC technique (2018)
• Cutting Force Model for Thermal-Assisted Machining of Tool Stell Based on the Taguchi Method. (2018)
• Adaptive Robust Ability of High Order Sliding Mode Control for a 3-D Overhead Crane System (2018)
• Analyze weeds classification with visual explanation based on Convolutional Neural Networks (2018)
• Inception-Residual Block based Neural Network for Thermal Image Denoising (2018)
• Implementation of Noise Reduction Methods for Rear-View Monitoring Wearable Devices (2018)