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ORCIDJournal of Computing and Information Science in Engineering, Volume 24
Volume 24, Number 1, January 2024
- Peter Meltzer, Joseph G. Lambourne, Daniele Grandi:
What's in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models Through User-Provided Names in Computer Aided Design Files. - Yu Ao, Jian Xu, Dapeng Zhang, Shaofan Li:
Artificial Intelligence Aided Design (AIAD) of Hull Form of Unmanned Underwater Vehicles (UUVs) for Minimization of Energy Consumption. - Wentai Zhang, Joe Joseph, Quan Chen, Can Koz, Liuyue Xie, Amit Regmi, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara:
A Data Augmentation Method for Data-Driven Component Segmentation of Engineering Drawings. - Shijie Bian, Daniele Grandi, Tianyang Liu, Pradeep Kumar Jayaraman, Karl D. D. Willis, Elliot Sadler, Bodia Borijin, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li
:
HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided Design. - Yaguan Li, Handing Xu, Yanjie Xu, Qingxue Huang, Xin-Jun Liu, Zhenguo Nie:
An Automatic High-Precision Calibration Method of Legs and Feet for Quadruped Robots Using Machine Vision and Artificial Neural Networks. - Binyang Song, Rui Zhou, Faez Ahmed:
Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions. - Jiangce Chen, Justin Pierce, Glen Williams, Timothy W. Simpson, Nicholas A. Meisel, Sneha Prabha Narra, Christopher McComb:
Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data. - Hongbin Lin, Qingfeng Xu, Handing Xu, Yanjie Xu, Yiming Zheng, Yubin Zhong, Zhenguo Nie:
Three-Dimensional-Slice-Super-Resolution-Net: A Fast Few Shooting Learning Model for 3D Super-Resolution Using Slice-Up and Slice-Reconstruction. - Anar Nurizada, Anurag Purwar:
Transforming Hand-Drawn Sketches of Linkage Mechanisms Into Their Digital Representation. - Anar Nurizada, Anurag Purwar:
An Invariant Representation of Coupler Curves Using a Variational AutoEncoder: Application to Path Synthesis of Four-Bar Mechanisms. - Hao Chen, Hongbin Lin, Qingfeng Xu, Yaguan Li, Yiming Zheng, Jianghua Fei, Kang Yang, Wenhui Fan, Zhenguo Nie:
Cross-Domain Transfer Learning for Galvanized Steel Strips Defect Detection and Recognition.
Volume 24, Number 2, February 2024
- Xiaoyang Mao, Chiradeep Sen:
Formal Qualitative Physics-Based Reasoning for Functional Decomposition of Engineered Systems. - Zhenjun Yu, Ningbo Lei, Yu Mo, Xin Xu, Xiu Li, Biqing Huang:
Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction. - Haiyan Yu, Yuanjun He, Wenjun Zhang:
A Novel Approach to Line Clipping Against a Rectangular Window. - Maan Singh Rathore, Suraj Prakash Harsha:
Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation. - John O'Donnell, Hwan-Sik Yoon:
Determination of Multi-Component Failure in Automotive System Using Deep Learning. - Sujit Kumar, D. Ganga:
Combinational Framework for Classification of Bearing Faults in Rotating Machines. - Yeo Jung Yoon, Santosh V. Narayan, Satyandra K. Gupta:
Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks. - Abhijeet Singh Raina, Ronak R. Mohanty, Abhirath Bhuvanesh, Divya Prabha J, Manohar Swaminathan, Vinayak R. Krishnamurthy:
Pointing Tasks Using Spatial Audio on Smartphones for People With Vision Impairments. - Nathaniel Devol, Christopher Saldaña, Katherine Fu:
Methods for the Automated Determination of Sustained Maximum Amplitudes in Oscillating Signals. - Hanpeng Gao, Yu Guo, Shaohua Huang, Jian Xie, Daoyuan Liu, Tao Wu, Xu Tian:
An Online Quality Detection Method With Ensemble Learning on Imbalance Data for Wave Soldering. - Chun Shen, Rui Wang:
Singularity Structure Optimization for Hexahedral Mesh Via Dual Operations. - Yujie Zhang, Qi Fang, Yu Xie, Weijie Zhang, Runxiang Yu:
Enhancing Robot Calibration Through Reliable High-Order Hermite Polynomials Model and SSA-BP Optimization. - Binyun Wu, Liang Hou, Shaojie Wang, Xiaozhen Lian:
A Tacholess Order Tracking Method Based on the STFTSC Algorithm for Rotor Unbalance Fault Diagnosis Under Variable-Speed Conditions. - Marek S. Lukasiewicz, Marco Rossoni, Elena Spadoni, Nicolò Dozio, Marina Carulli, Francesco Ferrise, Monica Bordegoni:
An Open-Source Olfactory Display to Add the Sense of Smell to the Metaverse.
Volume 24, Number 3, March 2024
- Ting Chou, Chih-Hsing Chu, Shengjun Liu:
Virtual Footwear Try-On in Augmented Reality Using Deep Learning Models. - Wenhao Yang, Xiwen Dengxiong, Xueting Wang, Yidan Hu, Yunbo Zhang:
"I Can See Your Password": A Case Study About Cybersecurity Risks in Mid-Air Interactions of Mixed Reality-Based Smart Manufacturing Applications. - Haedong Kim, Tyler Hartleb, Khalid Bello, Faisal Aqlan, Richard Zhao, Hui Yang:
Behavioral Modeling of Collaborative Problem Solving in Multiplayer Virtual Reality Manufacturing Simulation Games. - Vinh Nguyen, Xiaofeng Liu, Jeremy Marvel:
Augmented Reality Interface for Robot-Sensor Coordinate Registration. - Meng-Han Wu, Ananya Ipsita, Gaoping Huang, Karthik Ramani, Alexander J. Quinn:
ImpersonatAR: Using Embodied Authoring and Evaluation to Prototype Multi-Scenario Use Cases for Augmented Reality Applications. - I-Jan Wang, Lifen Yeh, Chih-Hsing Chu, Yan-Ting Huang:
Assistive Sensory Feedback for Trajectory Tracking in Augmented Reality. - Ananya Ipsita, Runlin Duan, Hao Li, Subramanian Chidambaram, Yuanzhi Cao, Min Liu, Alexander J. Quinn, Karthik Ramani:
The Design of a Virtual Prototyping System for Authoring Interactive Virtual Reality Environments From Real-World Scans. - Wenhao Yang, Yunbo Zhang:
A Global Correction Framework for Camera Registration in Video See-Through Augmented Reality Systems.
Volume 24, Number 4, April 2024
- Zhao Lun, Sen Lin, Yunlong Pan, Haibo Wang, Zeshan Abbas, Zixin Guo, Xiaole Huo, Sen Wang:
A Deep Convolutional Neural Network-Based Method for Self-Piercing Rivet Joint Defect Detection. - Laetitia V. Monnier, William Z. Bernstein, Vincenzo J. Ferrero, Sebti Foufou:
An Automated Approach for Segmenting Numerical Control Data With Controller Data for Machine Tools. - Yani Wang, Xiang Wang, Ruiyang Hao, Bingyu Lu, Biqing Huang:
Metal Surface Defect Detection Method Based on Improved Cascade R-CNN. - Haiwen Yu, Dianliang Wu, Hanzhong Xu:
Reconstruction Algorithm for Complex Dexel Models Based on Composite Block Partition. - Weiwei Liu, Jiahe Qiu, Yujiang Wang, Tao Li, Shujie Liu, Guangda Hu, Lin Xue:
Multiscale Feature Fusion Convolutional Neural Network for Surface Damage Detection in Retired Steel Shafts. - Shubhendu Kumar Singh, Rahul Rai, Raj Pradip Khawale, Darshil Patel, Dustin Bielecki, Ryan Nguyen, Jun Wang, Zhibo Zhang:
Deep Learning in Computational Design Synthesis: A Comprehensive Review. - Salah A. Faroughi, Nikhil M. Pawar, Célio Fernandes, Maziar Raissi, Subasish Das, Nima K. Kalantari, Seyed Kourosh Mahjour:
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics. - Liping Wang, Qingwei Nie, Zequn Zhang, Dunbing Tang, Changchun Liu:
Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study. - Soner Camuz, Anders Liljerehn, Kristina Wärmefjord, Rikard Söderberg:
Algorithm for Detecting Load-Carrying Regions Within the Tip Seat of an Indexable Cutting Tool. - Subhajit Sanfui, Deepak Sharma:
Soft- and Hard-Kill Hybrid Graphics Processing Unit-Based Bidirectional Evolutionary Structural Optimization. - Nicole A. Apetre, John G. Michopoulos, Steven N. Rodriguez, Athanasios Iliopoulos, John C. Steuben, Benjamin D. Graber, Attilio Arcari:
Toward Fatigue-Tolerant Design of Additively Manufactured Strut-Based Lattice Metamaterials. - Jiarui Xie, Chonghui Zhang, Lijun Sun, Yaoyao Fiona Zhao:
Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design Based on Active Learning. - Marina Carulli, Marco Rossoni, Elena Spadoni, Nicolò Dozio, Riccardo Giussani, Francesco Ferrise, Monica Bordegoni:
A Case Study on Digital Training: Benefits and Unexplored Opportunities. - Special Issue: Highlights of CIE 2023.
- Mutahar Safdar, Jiarui Xie, Hyunwoong Ko, Yan Lu, Guy Lamouche, Yaoyao Fiona Zhao:
Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition. - Anna Ghidotti, Andrea Vitali, Daniele Regazzoni, Miri Weiss-Cohen, Caterina Rizzi:
Comparative Analysis of Convolutional Neural Network Architectures for Automated Knee Segmentation in Medical Imaging: A Performance Evaluation. - Liuqing Chen, Kaitong Qin, Jiaxiang You, Ting Zhang, Yumou Zhang, Tingting Zhou, Yankun Zhen:
Interactive 3D Product Information Design in Virtual Reality Shopping Application. - Joel Quarnstrom, Yujiang Xiang:
Helical Actuator-Driven Inchworm Robot Design and Prototype. - Anindya Bhaduri, Nesar Ramachandra, Sandipp Krishnan Ravi, Lele Luan, Piyush Pandita, Prasanna Balaprakash, Mihai Anitescu, Changjie Sun, Liping Wang:
Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data. - John C. Steuben, Andrew B. Geltmacher, Steven N. Rodriguez, Benjamin D. Graber, Athanasios P. Iliopoulos, John G. Michopoulos:
Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts. - Zhuo Yang, Jaehyuk Kim, Yan Lu, Albert T. Jones, Paul Witherell, Ho Yeung, Hyunwoong Ko:
Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing.
Volume 24, Number 5, May 2024
- Ahmad Kokhahi, Dan Li:
GLHAD: A Group Lasso-Based Hybrid Attack Detection and Localization Framework for Multistage Manufacturing Systems. - Neelotpal Dutta, Tianyu Zhang, Guoxin Fang, Ismail E. Yigit, Charlie C. L. Wang:
Vector Field-Based Volume Peeling for Multi-Axis Machining. - Noah Hill, Matthew Ebert, Mena Maurice, Vinayak R. Krishnamurthy:
Cellular Chaos: Statistically Self-Similar Structures Based on Chaos Game. - Xinyao Zhang, Sibo Tian, Xiao Liang, Minghui Zheng, Sara Behdad:
Early Prediction of Human Intention for Human-Robot Collaboration Using Transformer Network. - Marco Rossoni, Matteo Pozzi, Giorgio Colombo, Marco Gribaudo, Pietro Piazzolla:
Physically Based Rendering of Animated Point Clouds for EXtended Reality.
Volume 24, Number 6, June 2024
- Zehao Ye, Xin Liu, Bo Peng, Chen Kan:
Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning. - Jiawen Xu, Youyi Bi:
An Agent-Based Modeling Approach for the Diffusion Analysis of Electric Vehicles With Two-Stage Purchase Choice Modeling. - Evangéline Capiez-Lernout, Olivier Ezvan, Christian Soize:
Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset. - Hsien-I Lin, Muhammad Ahsan Fatwaddin Shodiq, Hong-Qi Chu:
Enhancing Robotic Grasping Detection Accuracy With the R2CNN Algorithm and Force-Closure. - Emmanuel Yangue, Durant Fullington, Owen Smith, Wenmeng Tian, Chenang Liu:
Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing. - Michael Ibrahim, Heraldo Rozas, Nagi Gebraeel:
An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults. - Sina Rastegarzadeh, Jida Huang:
Standard Tessellation Language-Free Adaptive Slicing Scheme for Additive Manufacturing of Cellular Materials. - Miri Weiss-Cohen, Anna Ghidotti, Daniele Regazzoni:
Bi-level Analysis of Computed Tomography Images of Malignant Pleural Mesothelioma: Deep Learning-Based Classification and Subsequent Three-Dimensional Reconstruction. - Komi Chamnongthai, Zhu Li, Takahiro Endo:
Band-Limited Vibrotactile Noise Enhances Fingertip Haptic Sensation. - Hazem Ashor Amran Abolholl, Tom-Robin Teschner, Irene Moulitsas:
A Hybrid Computer Vision and Machine Learning Approach for Robust Vortex Core Detection in Fluid Mechanics Applications. - Phyo Htet Hein, Elisabeth Kames, Cheng Chen, Beshoy Morkos:
A Network Interference Approach to Analyzing Change Propagation in Requirements.
Volume 24, Number 7, July 2024
- Hankang Lee, Daniel A. Finke, Hui Yang:
Privacy-Preserving Neural Networks for Smart Manufacturing. - Fahad Ali Milaat, Joshua Lubell:
Layered Security Guidance for Data Asset Management in Additive Manufacturing. - Md Habibor Rahman, Erfan Yazdandoost Hamedani, Young-Jun Son, Mohammed Shafae:
Taxonomy-Driven Graph-Theoretic Framework for Manufacturing Cybersecurity Risk Modeling and Assessment. - Zhangyue Shi, Boris Oskolkov, Wenmeng Tian, Chen Kan, Chenang Liu:
Sensor Data Protection Through Integration of Blockchain and Camouflaged Encryption in Cyber-Physical Manufacturing Systems. - Karim A. ElSayed, Jitesh H. Panchal:
Information Embedding in Additively Manufactured Parts Through Printing Speed Control. - Timothy Kuo, Hui Yang:
Federated Learning on Distributed and Encrypted Data for Smart Manufacturing. - Hao Ji, Yan Jin:
Impact of Task Constraint on Agent Team Size of Self-Organizing Systems Measured by Effective Entropy. - Jatin Prakash, Ankur Miglani, Pavan Kumar Kankar:
Semi-Supervised Approach Using Transductive Support Vector Machine for Internal Leakage Detection in Two-Stage Hydraulic Cylinder. - Indranil Hazra, Matthew J. Weiner, Ruochen Yang, Arko Chatterjee, Joseph Southgate, Katrina M. Groth, Shapour Azarm:
Prognostics and Health Management of Unmanned Surface Vessels: Past, Present, and Future. - Roham Sadeghi Tabar, Samuel Lorin, Lars Lindkvist, Kristina Wärmefjord, Rikard Söderberg:
Robust Contact Computation in Non-Rigid Variation Simulation. - Qihang Fang, Gang Xiong, Weixing Wang, Zhen Shen, Xisong Dong, Fei-Yue Wang:
A Flexible and Accurate Additive Manufacturing Data Retrieval Method Based on Probabilistic Modeling and Transformation-Invariant Feature Learning.
Volume 24, Number 8, 2024
- Kevin N. Chiu, Mark D. Fuge:
Automatically Discovering Mechanical Functions From Physical Behaviors via Clustering. - Jie Liu:
Time-Optimized Robot Trajectory Based on Improved Whale Optimization Algorithm in Intelligent Manufacturing. - Tao Wu, Jie Li, Jinsong Bao, Qiang Liu, Zhengkai Jin, Jun Gao:
CarbonKG: Industrial Carbon Emission Knowledge Graph-Based Modeling and Application for Carbon Traceability of Complex Manufacturing Process. - Yuyang Chen, Youyi Bi, Jian Xie, Zhenghui Sha, Mingxian Wang, Yan Fu, Wei Chen:
Modeling Spatiotemporal Heterogeneity of Customer Preferences With Small-Scale Aggregated Data: A Spatial Panel Modeling Approach. - Bohan Feng, Youyi Bi, Mian Li, Liyong Lin:
A Decentralized Multi-Agent Path Planning Approach Based on Imitation Learning and Selective Communication. - Haoliang Shi, Huawei Dong, Maolin Yang, Wei Guo, Pingyu Jiang:
A Novel Industrial Software Model for Social Manufacturing.
Volume 24, Number 9, 2024
- Yindong Shen, Yaru Ge:
Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM. - Negar Asadi, Seyede Fatemeh Ghoreishi:
Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems. - Junchuan Shi, Yupeng Wei, Dazhong Wu:
Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries. - Yang Liu, Zhanpeng Jiang, Zuoxia Xing, Hengyu Liu, Pengtao Li, Xingfan Han:
Supply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online H∞ Policy Iteration. - Junnan Zhi, Yanlong Cao, Tukun Li, Fan Liu, Jia Luo, Yanling Li, Xiangqian Jiang:
A Digital Twin-Based Method for Assembly Deviations Analysis. - David C. Jensen, Douglas L. Van Bossuyt, Oladapo Bello, Bryan M. O'Halloran, Nikolaos Papakonstantinou:
A Survey of Function Failure Identification and Propagation Analysis Methods for System Design. - Bing Yang Song, Jin Quan Li, Xiao Yu Liu, Guo Lei Wang:
A Trajectory Planning Method for Capture Operation of Space Robotic Arm Based on Deep Reinforcement Learning. - Ricardo Ortiz, Piedad Miranda-Chiquito, Ángel Encalada-Dávila, Luis E. Marquez, Christian Tutivén, Eleni N. Chatzi, Christian E. Silva:
An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning. - Steve Paul, Souma Chowdhury:
Learning to Allocate Time-Bound and Dynamic Tasks to Multiple Robots Using Covariant Attention Neural Networks. - Yutaka Nomaguchi, Hiroyuki Morikawa, Rempei Nishida, Kikuo Fujita:
A Framework of Real-Time Knowledge Capture and Formalization for Model-Based Design With Spoken Annotation and Design Operations. - Siqi Zhang, Hui Yang, Zhuo Yang, Yan Lu:
Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring. - Armaan Garg, Shashi Shekhar Jha:
Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning. - Taiwo A. Adebiyi, Nafeezat A. Ajenifuja, Ruda Zhang:
Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies. - Tao Wang, Yu Huang, Ying Liu, Chong Chen:
Data Privacy Preserving for Centralized Robotic Fault Diagnosis With Modified Dataset Distillation. - Jan Niklas Fuhg, Nikolaos Bouklas, Reese E. Jones:
Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger-Rivlin-Ericksen. - Chengli Yang, Qingqing Wang, Zhanqiang Liu, Yanhai Cheng:
A Global Feature Reused Network for Defect Detection in Steel Images. - Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad:
Unsupervised Anomaly Detection via Nonlinear Manifold Learning.
Volume 24, Number 10, 2024
- Imre Horváth, Zuhal Erden:
What to Consider at the Development of Educational Programs and Courses About Next-Generation Cyber-Physical Systems? - Wei Li, Xiaowei Zhou, Haihong Huang, Akhil Garg, Liang Gao:
Risk-Based Design Optimization via Scenario Generation and Genetic Programming Under Hybrid Uncertainties.
Volume 24, Number 11, 2024
- Sean Rescsanski, Vihaan Shah, Jiong Tang, Farhad Imani:
Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps. - Tong Zhu, Qiye Zheng, Yanglong Lu:
Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity. - Jake A. Janssen, Ghadir Haikal, Erin C. Decarlo, Michael Hartnett, Matthew L. Kirby:
A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage. - Mehdi Taghizadeh, Mohammad Amin Nabian, Negin Alemazkoor:
Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations. - John C. Steuben, Andrew B. Geltmacher, Steven N. Rodriguez, Andrew J. Birnbaum, Benjamin D. Graber, A. K. Rawlings, Athanasios P. Iliopoulos, John G. Michopoulos:
Machine-Learning Metacomputing for Materials Science Data. - Nicholas Wu, Brendan Whalen, Ji Ma, Prasanna V. Balachandran:
Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation.
Volume 24, Number 12, 2024
- Subramanian Chidambaram, Rahul Jain, Sai Swarup Reddy, Asim Unmesh, Karthik Ramani:
AnnotateXR: An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision Applications. - Lisha White, Guanglu Zhang, Junwon Seo, Nicholas Lamprinakos, Anthony D. Rollett, Jonathan Cagan, Yongjie Jessica Zhang:
A Multi-Sized Unit Cell Method for the Design of LPBF Lattice Support Structures Concerning Complex Geometries. - Atharv P. Deshmankar, Jagat Sesh Challa, Amit R. Singh, Regalla Srinivasa Prakash:
A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing. - Lisha White, Xuan Liang, Guanglu Zhang, Jonathan Cagan, Yongjie Jessica Zhang:
A Modified Simulated Annealing-Based Method for Hybrid Lattice Support Structure Design in LPBF Additive Manufacturing. - Arpan Biswas, Mani Valleti, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin:
Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization. - Xueting Deng, Anurag Purwar:
A Matrix-Based Approach to Unified Synthesis of Planar Four-Bar Mechanisms for Motion Generation With Position, Velocity, and Acceleration Constraints. - Vishal G. Salunkhe, S. M. Khot, Prashant S. Jadhav, Nitesh P. Yelve, Mahadev B. Kumbhar:
Experimental Investigation Using Robust Deep VMD-ICA and 1D-CNN for Condition Monitoring of Roller Element Bearing. - Bach Do, Taiwo A. Adebiyi, Ruda Zhang:
Epsilon-Greedy Thompson Sampling to Bayesian Optimization. - Yiding Sun, Xinming Li, Yongsheng Ma:
A Real-Time Associative Feature-Based Customer Relationship Management and Enterprise Resource Planning Integration Model for Small- and Medium-Sized Enterprises.
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