Results 111 to 120 of about 457,829 (308)

Energy consumption pattern recognition and reduction in milling operations via deep neural networks [PDF]

AIP Advances
Energy consumption optimization in Computer Numerical Control milling operations represents a critical challenge in modern manufacturing, where energy efficiency directly impacts both economic sustainability and environmental footprint.
Zongjun Sun, Yunfei Zhang, Yanjun Tian, Yu Sun, Bochao Wu   +4 more
doaj   +1 more source

Recognition of machining features : a hybrid approach

, 2012
published_or_final_version ; Industrial and Manufacturing Systems Engineering ; Doctoral ; Doctor of ...
openaire   +2 more sources

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Noncontact Surface Roughness Estimation Using 2D Complex Wavelet Enhanced ResNet for Intelligent Evaluation of Milled Metal Surface Quality

Applied Sciences, 2018
Machined surfaces are rough from a microscopic perspective no matter how finely they are finished. Surface roughness is an important factor to consider during production quality control.
Weifang Sun, Bin Yao, Binqiang Chen, Yuchao He, Xincheng Cao, Tianxiang Zhou, Huigang Liu   +6 more
doaj   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Recent Research and Prospect on Feature Recognition of Three-dimensional Model

, 2018
A feature recognition technique is the intelligent interface of CAD/CAPP. Through extracting and recognizing the tolerance and surface roughness, the design features such asholes, steps and other design features in a 3D model of parts, the CAD/CAPP can ...
Yangdong Shi, Z. Deng, J. Zhong
semanticscholar   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Comparative Study of Conventional Machine Learning versus Deep Learning-Based Approaches for Tool Condition Assessments in Milling Processes

Applied Sciences
This evaluation of deep learning and traditional machine learning methods for tool state recognition in milling processes aims to automate furniture manufacturing.
Agata Przybyś-Małaczek, Izabella Antoniuk, Karol Szymanowski, Michał Kruk, Alexander Sieradzki, Adam Dohojda, Przemysław Szopa, Jarosław Kurek   +7 more
doaj   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

Automated process planning system considering machining feature recognition suitable for end-milling using CAD models in STL format

Journal of Advanced Mechanical Design, Systems, and Manufacturing
This study proposes a method to automatically generate numerical control (NC) programs from 3D computer-aided design (CAD) models in STL (Standard Triangulated Language) format. In STL format CAD of models, the three-dimensional shape is represented as a
Takayuki HIRAYAMA, Hidenori NAKATSUJI, Isamu NISHIDA   +2 more
doaj   +1 more source