Results 101 to 110 of about 3,545,542 (409)

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Investigation on different composition of powder metallurgy electrode (Cu-W) in high performance edm (HPEDM) on AISI D2 hardened steel [PDF]

, 2013
The ideal selection of manufacturing conditions is one of the most important aspects to take into consideration in the majority of manufacturing processes and particularly in processes related to Electrical Discharge Machining (EDM).
Abdul Hamid, Faizul Ezmat
core  

Techno-Economic Analysis of Hybrid Layered Manufacturing [PDF]

, 2005
Subtractive manufacturing (CNC machining) has high quality of geometric and material properties but is slow, costly and infeasible in some cases; additive manufacturing (RP) is just the opposite.
Akula, Sreenath Babu, Dwivedi, Rajeev, Karunakaran, K. P., Kovacevic, R., Pushpa, Vishal   +4 more
core   +1 more source

Combine Clustering and Machine Learning for Enhancing the Efficiency of Energy Baseline of Chiller System

Energies, 2020
Energy baseline is an important method for measuring the energy-saving benefits of chiller system, and the benefits can be calculated by comparing prediction models and actual results.
Chun-Wei Chen, Chun-Chang Li, Chen-Yu Lin   +2 more
doaj   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

Molecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu, Jianchao Wang, Fuqing Chen, Xuefeng Wang, Bin Lan, Ruyi Fu, Hong Wen, Fangfang Chen, Wei Hong, Tian‐Yu Tang, Ying He, Gang Chen, Jianyin Zhou, Hai‐Long Piao, Di Chen, Shu‐Yong Lin   +15 more
wiley   +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source

Significant Influence on Residual Bending Strength by Cracks Generation During Grinding of Ceramics

Chinese Journal of Mechanical Engineering
Any product must undergo precise manufacturing before use. The damage incurred during the manufacturing process can significantly impact the residual strength of the product post-manufacturing.
Jinshuo Zhang, Tianyi Sui, Bin Lin, Bingrui Lv, Jingming Li, Jingguo Zhou   +5 more
doaj   +1 more source

Surface Quality Improvement in Machining an Aluminum Honeycomb by Ice Fixation

Chinese Journal of Mechanical Engineering, 2020
A honeycomb structure is widely used in sandwich structure components in aeronautics and astronautics; however, machining is required to reveal some of its features.
Yongqing Wang, Yongquan Gan, Haibo Liu, Lingsheng Han, Jinyu Wang, Kuo Liu   +5 more
doaj   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Cold machining of high density tungsten and other materials [PDF]

, 1969
Cold machining process, which uses a sub-zero refrigerated cutting fluid, is used for machining refractory or reactive metals and alloys.
Ziegelmeier, P.
core   +1 more source