yusuke1997/dblp-id-title huggingface dataset:
Real-time fault detection in manufacturing environments using face recognition techniques
Intelligent modelling of back-side weld bead geometry using weld pool surface characteristic parameters
The state of the art on buffer allocation problem: a comprehensive survey
Adaptive acquisition planning for visual inspection in remanufacturing using reinforcement learning
Deterministic inventory model for recycling system
A Generative AI approach to improve in-situ vision tool wear monitoring with scarce data
Knowledge-based systems using neural networks for electron beam welding process of reactive material (Zircaloy-4)
Constraint network analysis of 3-dimensional insertion tasks
Automotive engineering curriculum development: case study for Clemson University
A design of RFTOG model for distributed real-time applications
Editorial note for the special issue on 'Advanced metaheuristics for integrated supply chain management'
A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing
Bang-bang control model with optimistic value criterion for uncertain switched systems
Learning process on priority rules to solve the RCMPSP
A particle swarm optimization approach for components placement inspection on printed circuit boards
Parallel inference in dynamic decision support systems of a semiotic type
Integrating systematic layout planning with fuzzy constraint theory to design and optimize the facility layout for operating theatre in hospitals
On-line prediction of ultrasonic elliptical vibration cutting surface roughness of tungsten heavy alloy based on deep learning
A framework and method for equipment digital twin dynamic evolution based on IExATCN
An adaptive approach for determining batch sizes using the hidden Markov model
A multi-objective scheduling algorithm with self-evolutionary feature for job-shop-like knowledgeable manufacturing cell
Scheduling a single mobile robot for part-feeding tasks of production lines
Fast password recovery attack: application to APOP
New dynamic heuristic for the optimization of opportunities to use new and remanufactured spare part in stochastic degradation context
Embedding data on "communicating materials" from context-sensitive information analysis
Machine learning algorithms for the prediction of non-metallic inclusions in steel wires for tire reinforcement
Comparison of fuzzy inference system (FIS), FIS with artificial neural networks (FIS + ANN) and FIS with adaptive neuro-fuzzy inference system (FIS + ANFIS) for inventory control
Advanced decision and intelligence technologies for manufacturing and logistics
A multi-agent based big data analytics system for viable supplier selection
Process sequence optimization based on a new cost-tolerance model
Mapping the IEC 62264 models onto the Zachman framework for analysing products information traceability: a case study
Predictive reinforcement learning: map-less navigation method for mobile robot
Modular Petri Net based modeling, analysis, synthesis and performance evaluation of random topology dedicated production systems
An effective hybrid evolutionary algorithm for stochastic multiobjective assembly line balancing problem
A novel bi-vector encoding genetic algorithm for the simultaneous multiple resources scheduling problem
Balancing stochastic U-lines using particle swarm optimization
A digital equipment identifier system
Retraction Note to: Estimation of contact forces of underactuated robotic finger using soft computing methods
Development of grinding intelligent monitoring and big data-driven decision making expert system towards high efficiency and low energy consumption: experimental approach
Lateness minimization with Tabu search for job shop scheduling problem with sequence dependent setup times
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions
Material identification based on machine-learning algorithms for hybrid workpieces during cylindrical operations
A run-to-run controller for a chemical mechanical planarization process using least squares generative adversarial networks
Automated defect inspection of LED chip using deep convolutional neural network
A hybrid discrete particle swarm optimization for dual-resource constrained job shop scheduling with resource flexibility
Intelligent simulation code generator: a relational database management approach
A neuro-genetic approach to design and planning of a manufacturing cell
Automatic extraction of inventive information out of patent texts in support of manufacturing design studies using Natural Languages Processing
Diagnostic expert systems for defects in forged parts
Investigating the effect of intelligent assistance systems on motivational work characteristics in assembly
MetaMorph II: an agent-based architecture for distributed intelligent design and manufacturing
Correction: Natural language processing (NLP) and association rules (AR)-based knowledge extraction for intelligent fault analysis: a case study in semiconductor industry
Erratum to: Probabilistic Boolean network modeling and model checking as an approach for DFMEA for manufacturing systems
Tissue characterization of coronary plaque by kNN classifier with fractal-based features of IVUS RF-signal
Power spectral density moment of having defective 3D printed plastic beams under moving load based on deep learning
Technological troubleshooting based on sentence embedding with deep transformers
A comparative analysis of meta-heuristic approaches for facility layout design problem: a case study for an elevator manufacturer
Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model
A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery
An efficient search method for multi-objective flexible job shop scheduling problems
Intelligent toolpath selection via multi-criteria optimization in complex sculptured surface milling
Multi-agent systems negotiation to deal with dynamic scheduling in disturbed industrial context
Academic-industrial international cooperations for engineering education
An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference
Advance in detection system to improve the stability and capability of CNC turning process
Part machining feature recognition based on a deep learning method
Bound smoothing based time series anomaly detection using multiple similarity measures
A neural network model and algorithm for the hybrid flow shop scheduling problem in a dynamic environment
Intelligent condition monitoring using fuzzy inductive learning
Configuration for mass customization: how to extend product configuration towards requirements and process configuration
A blockchain technology based trust system for cloud manufacturing
Transfer-robot task scheduling in flexible job shop
Integration of the STEP-based assembly model and XML schema with the fuzzy analytic hierarchy process (FAHP) for muti-agent based assembly evaluation
ANN modelling and Elitist teaching learning approach for multi-objective optimization of \(\upmu \) -EDM
Event-based intelligent control of saturated chemical plant using an endomorphic neural network model
An integrated framework for card-based production control systems
Incremental transfer learning for robot drilling state monitoring under multiple working conditions
Quasi-optimal integrated production, inventory and maintenance policies for a single-vendor single-buyer system with imperfect production process
Periodic and sequential preventive maintenance policies over a finite planning horizon with a dynamic failure law
Prototyping strategies for multisensory product experience engineering
A quantitative approach to analyze carbon emissions of CNC-based machining systems
Pricing decision problem for substitutable products based on uncertainty theory
Technology management and strategy composition: innovation of IC foundry
Integrated data structure and scheduling approach for manufacturing and transportation using hybrid genetic algorithm
Cloud computing as a facilitator for web service composition in factory automation
An estimation distribution algorithm for wave-picking warehouse management
Facility layout design using virtual multi-agent system
Automated visual detection of geometrical defects in composite manufacturing processes using deep convolutional neural networks
A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks
An enhanced classification approach for reliability estimation of structural systems
Application of artificial neural network and fuzzy logic in a case-based system for initial process parameter setting of injection molding
Modeling, simulation and fuzzy control of an anthropomorphic robot arm by using Dymola
Fluctuations of the production output of transfer lines
Dispatching rule selection using artificial neural networks for dynamic planning and scheduling
Increasing the availability of FMS with multimedia-supported diagnostic expert systems
Design of manufacturing cells: Operation assignment in printed circuit board manufacturing
Interactive evolutionary solution synthesis in fuzzy set-based preliminary engineering design
Control of weld penetration depth using relative fluctuation coefficient as feedback
A virtual factory based approach to on-line simulation and scheduling for an FMS and a case study
Learning the manufacturing capabilities of machining and finishing processes using a deep neural network model
Improving efficiencies and patient safety in healthcare through human factors and ergonomics
An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures
Foreign objects detection using deep learning techniques for graphic card assembly line
Physics-guided high-value data sampling method for predicting milling stability with limited experimental data
Simulation and parameter optimization of flux cored arc welding using artificial neural network and particle swarm optimization algorithm
Holistic analysis for task scheduling based on proportional dispatching in hybrid real-time system
A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning
A hybrid evolutionary algorithm approach for estimating the throughput of short reliable approximately balanced production lines
Linguistic summarization to support supply network decisions
Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
An event-driven simulation method for motor driver in virtual machine tool system
Process integrated wire-bond quality control by means of cytokine-Formal Immune Networks
A digital twin-driven cutting force adaptive control approach for milling process
Fuzzy priority rule for job shop scheduling
Efficient quality variable prediction of industrial process via fuzzy neural network with lightweight structure
Intelligent optimization of component onsertion in multi-head concurrent operation PCBA machines
A general architecture of a 3D visualization system for shop floor management
Multi-objective optimization of cutting parameters in sculptured parts machining based on neural network
A decision analysis based system for formulating manufacturing strategy
A six-layer architecture for the digital twin: a manufacturing case study implementation
A novel automatic classification approach for micro-flaws on the large-aperture optics surface based on multi-light source fusion and integrated deep learning architecture
Optimizing the auto-brazing process quality of aluminum pipe and flange via a Taguchi-Neural-Genetic approach
Multi-agent negotiation based on price schedules algorithm for distributed collaborative design
SysPEM: Toward a consistent and unified system process engineering metamodel
Intelligent data analysis systems
Temporal-based medical diagnoses using a Fuzzy Temporal Reasoning System
An intelligent approach to machine tool selection through fuzzy analytic network process
Digital twin-driven real-time suppression of delamination damage in CFRP drilling
Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing
Best practices for machine learning strategies aimed at process parameter development in powder bed fusion additive manufacturing
Method for monitoring and controlling penetration of complex groove welding based on online multi-modal data
A Chaotic Bee Colony approach for supplier selection-order allocation with different discounting policies in a coopetitive multi-echelon supply chain
DL-MSCNN: a general and lightweight framework for fault diagnosis with limited training samples
An improved artificial algae algorithm integrated with differential evolution for job-shop scheduling problem
Detection of defective embedded bearings by sound analysis: a machine learning approach
Manufacturing features recognition using backpropagation neural networks
Managing distributed business processes in the virtual enterprise
A two-stage genetic algorithm for multi-objective job shop scheduling problems
The industrial security management model for SMBs in smart work
A federated approach to develop enterprise interoperability
A multilevel approach for modelling vehicle routing problem with uncertain travelling time
Integrating correspondence analysis with Grey relational model to implement a user-driven STP product strategy for smart glasses
Modeling cooperation links within networks of firms: a case study
Competing refurbishment in a supply chain with different selling modes
Using a diffusion wavelet neural network for short-term time series learning in the wafer level chip scale package process
A diagnosis scheme for a large-scale system
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling
A new multi-agent system framework for tacit knowledge management in manufacturing supply chains
Cloud intelligence in manufacturing
The asset administration shell as enabler for predictive maintenance: a review
A systematic review of data-driven approaches to fault diagnosis and early warning
Control of tolerances in turning by predictive control with neural networks
A tabu search heuristic for the single vehicle pickup and delivery problem with time windows
Unidirectional loop network layout by a LP heuristic and design of telecommunications networks
ε Constrained differential evolution using halfspace partition for optimization problems
Global and local representation collaborative learning for few-shot learning
A modal interval based method for dynamic decision model considering uncertain quality of used products in remanufacturing
A tool breakage detection system using an accelerometer sensor
Prediction of the parameters affecting the performance of compact heat exchangers with an innovative design using machine learning techniques
Improving imbalanced industrial datasets to enhance the accuracy of mechanical property prediction and process optimization for strip steel
Stochastic modeling of damage physics for mechanical component prognostics using condition indicators
Machining precedence of 2½D interacting features in a feature-based data model
A case-based reasoning approach to fast optimization of travel routes for large-scale AS/RSs
Intelligent agent systems for manufacturing applications
Cognitive shape similarity assessment for 3D part search
A Lagrangean heuristic for a two-echelon storage capacitated lot-sizing problem
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction
Enabling multi-use, multi-tool models of manufacturing systems through an experimental frame expert system
Recommender systems as an agility enabler in supply chain management
Causal domain model driven knowledge acquisition for expert diagnosis system development
Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin
Cross-scale fusion and domain adversarial network for generalizable rail surface defect segmentation on unseen datasets
Rotating machine fault detection based on HOS and artificial neural networks
Crossdock truck scheduling with time windows: earliness, tardiness and storage policies
Implementing heuristics as an optimization criterion in neural networks for job-shop scheduling
Identification of influential function modules within complex products and systems based on weighted and directed complex networks
Bead geometry prediction for robotic GMAW-based rapid manufacturing through a neural network and a second-order regression analysis
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review
Joint production and maintenance strategy for economic production quantity model with imperfect production processes
A comparison of machine learning methods for cutting parameters prediction in high speed turning process
The application of information systems for the design and operation of flexible machining cells
Dual visual inspection for automated quality detection and printing optimization of two-photon polymerization based on deep learning
Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with thermographic monitoring
Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor
Applications of genetic algorithms in process planning: tool sequence selection for 2.5-axis pocket machining
Real-time quality monitoring and predicting model based on error propagation networks for multistage machining processes
A multiple position-based bi-branch model for structural defect inspection
A new newsvendor policy model for dual-sourcing supply chains by considering disruption risk and special order
A multimodal fusion method for soldering quality online inspection
Graph-based extraction of two-connected morphological features from boundary representations
A heuristic master planning algorithm for recycling supply chain management
The rough set based approach to generic routing problems: case of reverse logistics supplier selection
Intelligent scheduling approaches for a wafer fabrication factory
Hybrid artificial intelligence architecture for diagnosis and decision-making in manufacturing
Co-ordination of SME production through a co-operative network
Activation functions selection for BP neural network model of ground surface roughness
Artificial immune systems based multi-agent architecture to perform distributed diagnosis
Neurovision-based logic control of an experimental manufacturing plant using neural net le-net5 and automation Petri nets
Multi-objective modeling for preventive maintenance scheduling in a multiple production line
Manufacturing paradigm-oriented PHM methodologies for cyber-physical systems
A two phase optimization method for Petri net models of manufacturing systems
An improved approach of task-parameterized learning from demonstrations for cobots in dynamic manufacturing
Machine learning-enabled real-time anomaly detection for electron beam powder bed fusion additive manufacturing
Knowledge based manufacturing system (KBMS)
Explainable AI for domain experts: a post Hoc analysis of deep learning for defect classification of TFT-LCD panels
A multi-stage control chart pattern recognition scheme based on independent component analysis and support vector machine
Joint modeling of classification and regression for improving faulty wafer detection in semiconductor manufacturing
Correction: Towards automated remote sizing and hot steel manufacturing with image registration and fusion
Multi-agent reinforcement learning based maintenance policy for a resource constrained flow line system
Automation platform independent multi-agent system for robust networks of production resources in industry 4.0
Modeling truck scheduling problem at a cross-dock facility through a bi-objective bi-level optimization approach
A generalized-exponential decomposition method for the analysis of inhomogeneous assembly/disassembly systems with unreliable machines and finite buffers
Differentiating between expanded and fault conditions using principal component analysis
Scheduling jobs and maintenances in flexible job shop with a hybrid genetic algorithm
A new immune multi-agent system for the flexible job shop scheduling problem
Multi-stage few-shot micro-defect detection of patterned OLED panel using defect inpainting and multi-scale Siamese neural network
An automatic inspection system for the detection of tire surface defects and their severity classification through a two-stage multimodal deep learning approach
Principles and methodology of fuzzy sets
Model development for quality features of resistance spot welding using multi-objective Taguchi method and response surface methodology
FETR: a framework to establish trust relationships among organizations in VBEs
A fuzzy reasoning based diagnosis system for X control charts
A modular factory testbed for the rapid reconfiguration of manufacturing systems
A database approach to engineering design by selection
Trace-driven knowledge acquisition (TDKA) for rule-based real time scheduling systems
The impact of information sharing on bullwhip effect reduction in a supply chain
A genetic solution based on lexicographical goal programming for a multiobjective job shop with uncertainty
Discovering Multiple Diagnostic Rules from Coronary Heart Disease Database using Automatically Defined Groups
Enhanced detection of diverse defects by developing lighting strategies using multiple light sources based on reinforcement learning
Support vector machines based non-contact fault diagnosis system for bearings
State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions
Correction to: A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning
Surface quality control using biocomputational algorithms
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration
Adaptive job shop scheduling strategy based on weighted Q-learning algorithm
A model for integrating services and product EOL management in sustainable product service system (S-PSS)
Evolutionary elements on composite ascent algorithm for multiple response surface optimisation
Correction to: An effective approach for the dual-resource flexible job shop scheduling problem considering loading and unloading
A feature extraction method for intelligent chatter detection in the milling process
Modular and platform methods for product family design: literature analysis
SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes
A cyber-physical production system for autonomous part quality control in polymer additive manufacturing material extrusion process
Virtual metrology for chemical mechanical planarization of semiconductor wafers
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming
A data-driven method of selective disassembly planning at end-of-life under uncertainty
A KE-LSA approach for user-centered design
A new model for single machine scheduling with uncertain processing time
Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data
Overall performance measurement in a supply chain: towards a supplier-prime manufacturer based model
Embedding learning in behaviour-based architectures: a conceptual approach
First announcement/Call for papers
Task-driven e-manufacturing resource configurable model