Výsledky vyhľadávania - "Chen, F. Frank"

Generation of a Multi-Class IoT Malware Dataset for Cybersecurity.

Autori: Maghanaki, Mazdak Keramati, Soraya Chen, F. Frank a ďalší

Zdroj: Electronics (2079-9292); Nov2025, Vol. 14 Issue 21, p4196, 38p

Predmety: MALWARE, INTERNET of things, FEATURE selection, MACHINE learning, ACQUISITION of data, INTERNET security, EVALUATION methodology, CLASSIFICATION

30^th international conference on flexible automation and intelligent manufacturing (FAIM2021) special issue: modern manufacturing systems management.

Autori: Vosniakos, George-C. Chen, F. Frank

Zdroj: Flexible Services & Manufacturing Journal; Sep2024, Vol. 36 Issue 3, p711-713, 3p

Predmety: SCIENTIFIC literature, SUSTAINABILITY, MACHINE learning, DISCRETE event simulation, ENGINEERING laboratories, REMANUFACTURING

Waste reduction via image classification algorithms: beyond the human eye with an AI-based vision.

Autori: Shahin, Mohammad Chen, F. Frank Hosseinzadeh, Ali a ďalší

Zdroj: International Journal of Production Research; May2024, Vol. 62 Issue 9, p3193-3211, 19p

Predmety: IMAGE recognition (Computer vision), WASTE minimization, ARTIFICIAL intelligence, CLASSIFICATION algorithms, CUSTOMER satisfaction

A Two-Stage Hybrid Federated Learning Framework for Privacy-Preserving IoT Anomaly Detection and Classification.

Autori: Shahin, Mohammad Hosseinzadeh, Ali Chen, F. Frank

Zdroj: Internet of Things (IoT); Sep2025, Vol. 6 Issue 3, p48, 56p

Predmety: FEDERATED learning, INTERNET of things, ANOMALY detection (Computer security), HISTOGRAMS, DATA security, ARTIFICIAL intelligence, PROBABILISTIC generative models

AI-Enabled Sustainable Manufacturing: Intelligent Package Integrity Monitoring for Waste Reduction in Supply Chains.

Autori: Shahin, Mohammad Hosseinzadeh, Ali Chen, F. Frank

Zdroj: Electronics (2079-9292); Jul2025, Vol. 14 Issue 14, p2824, 72p

Predmety: ARTIFICIAL intelligence, WASTE minimization, MACHINE learning, BIG data, SUPPLY chains, SUSTAINABILITY, QUALITY control

Evaluating the fidelity of statistical forecasting and predictive intelligence by utilizing a stochastic dataset.

Autori: Shahin, Mohammad Chen, F. Frank Maghanaki, Mazdak a ďalší

Zdroj: International Journal of Advanced Manufacturing Technology; May2025, Vol. 138 Issue 1, p193-223, 31p

Predmety: RECURRENT neural networks, MACHINE learning, TIME series analysis, DEEP learning, MATHEMATICAL statistics, DEMAND forecasting

A novel approach to voice of customer extraction using GPT-3.5 Turbo: linking advanced NLP and Lean Six Sigma 4.0.

Autori: Shahin, Mohammad Chen, F. Frank Hosseinzadeh, Ali a ďalší

Zdroj: International Journal of Advanced Manufacturing Technology; Apr2024, Vol. 131 Issue 7/8, p3615-3630, 16p

Predmety: LANGUAGE models, NATURAL language processing, PROCESS capability, SIX Sigma, GENERATIVE pre-trained transformers

30^th international conference on flexible automation and intelligent manufacturing (FAIM2021) special issue: modern manufacturing systems management.

Autori: Vosniakos, George-C. Chen, F. Frank

Zdroj: Flexible Services & Manufacturing Journal. Sep2024, Vol. 36 Issue 3, p711-713. 3p.

Predmety: *REMANUFACTURING, SCIENTIFIC literature, SUSTAINABILITY, MACHINE learning, DISCRETE event simulation, ENGINEERING laboratories

Robotics multi-modal recognition system via computer-based vision.

Autori: Shahin, Mohammad Chen, F. Frank Hosseinzadeh, Ali a ďalší

Zdroj: International Journal of Advanced Manufacturing Technology; Feb2025, Vol. 136 Issue 9, p3989-4005, 17p

Predmety: RADIO frequency identification systems, OBJECT recognition (Computer vision), LEAN management, WASTE minimization, MANUFACTURING processes

Minimizing waste via novel fuzzy hybrid stacked ensemble of vision transformers and CNNs to detect defects in metal surfaces.

Autori: Hosseinzadeh, Ali Shahin, Mohammad Maghanaki, Mazdak a ďalší

Zdroj: International Journal of Advanced Manufacturing Technology; Dec2024, Vol. 135 Issue 11, p5115-5140, 26p

Predmety: TRANSFORMER models, COMPUTER vision, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, ROLLED steel

A deep hybrid learning model for detection of cyber attacks in industrial IoT devices.

Autori: Shahin, Mohammad Chen, F. Frank Hosseinzadeh, Ali a ďalší

Zdroj: International Journal of Advanced Manufacturing Technology; Nov2022, Vol. 123 Issue 5/6, p1973-1983, 11p

Predmety: BLENDED learning, CYBERTERRORISM, INTRUSION detection systems (Computer security), LONG-term memory, INTELLECTUAL property theft, DEEP learning, MANUFACTURING processes

A novel fully convolutional neural network approach for detection and classification of attacks on industrial IoT devices in smart manufacturing systems.

Autori: Shahin, Mohammad Chen, F. Frank Bouzary, Hamed a ďalší

Zdroj: International Journal of Advanced Manufacturing Technology; Nov2022, Vol. 123 Issue 5/6, p2017-2029, 13p, 2 Diagrams, 7 Charts, 6 Graphs

Predmety: DEEP learning, CONVOLUTIONAL neural networks, MANUFACTURING processes, SMART devices, MACHINE learning, INTERNET of things

Improving operations through a lean AI paradigm: a view to an AI-aided lean manufacturing via versatile convolutional neural network.

Autori: Shahin, Mohammad Maghanaki, Mazdak Hosseinzadeh, Ali a ďalší

Zdroj: International Journal of Advanced Manufacturing Technology; Aug2024, Vol. 133 Issue 11/12, p5343-5419, 77p

Predmety: CONVOLUTIONAL neural networks, PATTERN recognition systems, VALUE stream mapping, ALGORITHMIC bias, WASTE minimization, LEAN management

Machine-based identification system via optical character recognition.

Autori: Shahin, Mohammad Chen, F. Frank Hosseinzadeh, Ali

Zdroj: Flexible Services & Manufacturing Journal; Jun2024, Vol. 36 Issue 2, p453-480, 28p

Predmety: OPTICAL character recognition, SYSTEM identification, DIGITAL image processing, LEAN management, INFORMATION technology

Improving the Concrete Crack Detection Process via a Hybrid Visual Transformer Algorithm.

Autori: Shahin, Mohammad Chen, F. Frank Maghanaki, Mazdak a ďalší

Zdroj: Sensors (14248220); May2024, Vol. 24 Issue 10, p3247, 32p

Predmety: CRACKING of concrete, CONVOLUTIONAL neural networks, DEEP learning, IMAGE recognition (Computer vision), BRIDGE inspection, IMAGE converters

Geografický termín: UNITED States

Economic and ergonomic performance enhancement in assembly process through multiple collaboration modes between human and robot.

Autori: Quenehen, Anthony Klement, Nathalie Abdeljaouad, Amine Mohamed a ďalší

Zdroj: International Journal of Production Research; Mar2023, Vol. 61 Issue 5, p1517-1531, 15p, 1 Color Photograph, 5 Diagrams, 6 Charts, 1 Graph

Predmety: INDUSTRIAL robots, ECONOMIC indicators, WORK sharing, ERGONOMICS, ROBOTS, HUMAN beings

Reanalysis Data Sets Underestimate the 1928–29 Summer Precipitation Deficits During the Late‐1920s Megadrought in Northern China.

Autori: Fang, Congxi Liu, Yu Sun, Changfeng a ďalší

Zdroj: Geophysical Research Letters; 6/16/2025, Vol. 52 Issue 11, p1-14, 14p

Predmety: METEOROLOGICAL precipitation, EL Nino, METEOROLOGICAL observations, ROSSBY waves, PRECIPITATION probabilities

Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service.

Autori: Shahin, Mohammad Chen, F. Frank Hosseinzadeh, Ali a ďalší

Zdroj: International Journal of Advanced Manufacturing Technology; Oct2023, Vol. 128 Issue 9/10, p3857-3883, 27p, 1 Color Photograph, 5 Diagrams, 12 Charts, 8 Graphs

Predmety: MACHINE learning, BOOSTING algorithms, APPLIED sciences, DATA analytics, WASTE minimization, SYSTEM downtime

Enhanced safety implementation in 5S + 1 via object detection algorithms.

Autori: Shahin, Mohammad Chen, F. Frank Hosseinzadeh, Ali a ďalší

Zdroj: International Journal of Advanced Manufacturing Technology; Apr2023, Vol. 125 Issue 7/8, p3701-3721, 21p

Predmety: OBJECT recognition (Computer vision), SAFETY standards, MANUFACTURING processes, MACHINE learning, SAFETY hats, PERSONAL protective equipment, DEEP learning

Resource scheduling in cloud-based manufacturing system: a comprehensive survey.

Autori: Rashidifar, Rasoul Bouzary, Hamed Chen, F. Frank

Zdroj: International Journal of Advanced Manufacturing Technology; Oct2022, Vol. 122 Issue 11/12, p4201-4219, 19p, 3 Color Photographs, 2 Diagrams, 3 Charts, 2 Graphs

Predmety: MANUFACTURING processes, METAHEURISTIC algorithms, PRODUCTION planning, SCHEDULING, MATHEMATICAL optimization, CLOUD computing