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Southeast University Department of Materials Science and Engineering 被引量:1
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《China Foundry》 SCIE CAS 2005年第1期76-76,共1页
关键词 Southeast University Department of Materials Science and engineering THAN
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Department of Metallurgy and Materials Engineering of Chongqing University 被引量:1
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作者 颜广庭 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 1989年第4期295-295,共1页
Chongqing University is located inChongqing City,Sichuan Province.Foundedoriginally in 1929,the university has sincethen greatly expanded in its scope ofeducation and organization.Now it becomesone of China’s key uni... Chongqing University is located inChongqing City,Sichuan Province.Foundedoriginally in 1929,the university has sincethen greatly expanded in its scope ofeducation and organization.Now it becomesone of China’s key universities of scienceand engineering with 18 departments and38 specialities.In addition it has 20 researchinstitutes and about one hundred laboratories.The department of metallurgy and ma-terials engineering of Chongqing University 展开更多
关键词 Department of Metallurgy and Materials engineering of Chongqing University
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Maintenance Engineering Department of China Eastern Jiangxi Branch Establishing the First Line of Defense for Safe Flight
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《China's Foreign Trade》 2002年第8期45-45,共1页
Maintenance Engineering Department of China Eastern Jiangxi Branch has 130 employees and manages four Airbuses A319 and two A320s. seen from the ratio of man to plane, it is the lowest among China Eastern branches (su... Maintenance Engineering Department of China Eastern Jiangxi Branch has 130 employees and manages four Airbuses A319 and two A320s. seen from the ratio of man to plane, it is the lowest among China Eastern branches (subsidiaries). Due to the requirement of the air market, the six planes are arranged separately in Nanchang, Shanghai, Fuzhou and Ningbo, thus the six planes are maintained in four places, which is unique among China 展开更多
关键词 Maintenance engineering Department of China Eastern Jiangxi Branch Establishing the First Line of Defense for Safe Flight
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A Survey of Techniques for Brain Anomaly Detection and Segmentation Using Machine Learning
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作者 Kamala Narayanan Shahram Latifi 《International Journal of Communications, Network and System Sciences》 2023年第7期151-167,共17页
In this research report, various Machine Learning (ML) models are discussed for the purpose of detecting brain anomalies like tumors. In the first step, we review previous work that uses Deep Learning (DL) to classify... In this research report, various Machine Learning (ML) models are discussed for the purpose of detecting brain anomalies like tumors. In the first step, we review previous work that uses Deep Learning (DL) to classify and detect brain tumors. Next, we present a detailed analysis of the ML methods in tabular form to address the brain tumor morphology, accessible datasets, segmentation, extraction, and classification using DL, and ML models. Finally, we summarize all relevant material for tumor detection, including the merits, limitations and future directions. In this study, it is found that employing DL-based and hybrid-based metaheuristic approaches proves to be more effective in accurately segmenting brain tumors, compared to the conventional methods. However, the brain tumor segmentation using ML models suffers from drawbacks due to limited labelled data, variability in tumor appearance, computational memory requirements, transparency in models, and difficulty in integration into clinical workflows. By pursuing techniques such as Data Augmentation, Pre-training, Active-learning, Multimodal fusion, Hardware acceleration, and Clinical integration, researchers and developers can overcome the bottlenecks and enhance the accuracy, efficiency, and clinical utility of ML-based brain tumor segmentation models. 展开更多
关键词 Department of Electrical and Computer engineering University of Nevada Las Vegas Las Vegas NEVADA USA
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Department of Industrial Engineering Won Award of IIE
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《Tsinghua Science and Technology》 SCIE EI CAS 2007年第4期399-399,共1页
The Department of Industrial Engineering of Tsinghua University won the Innovations in Curriculum Award of Institute of Industrial Engineering (IIE) at the annual meeting of IIE held in Nashville, Tennessee on May 2... The Department of Industrial Engineering of Tsinghua University won the Innovations in Curriculum Award of Institute of Industrial Engineering (IIE) at the annual meeting of IIE held in Nashville, Tennessee on May 20, 2007. The subject of the award-winning project is Logistics Laboratory. Competing with American universities, the project won the first place and became the only winner of this award. It is the first time for IIE to set up such an award. The Department of Industrial Engineering was established in 2001 with Dr. Gavriel Salvendy as the founding chair professor and department head. The Logistics Laboratory was set up in 2004. 展开更多
关键词 Department of Industrial engineering Won Award of IIE
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Department of Engineering Physics Tsinghua University
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《Tsinghua Science and Technology》 SCIE EI CAS 1996年第1期93-94,共2页
DepartmentofEngineeringPhysicsTsinghuaUniversityTheDepartmentofEngineeringPhysics(TsinghuaUniversity)isthele... DepartmentofEngineeringPhysicsTsinghuaUniversityTheDepartmentofEngineeringPhysics(TsinghuaUniversity)istheleadingdepartmentof... 展开更多
关键词 Department of engineering Physics Tsinghua University
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American Professor Appointed Department Head of Industrial Engineering
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《Tsinghua Science and Technology》 SCIE EI CAS 2002年第3期280-280,共1页
关键词 American Professor Appointed Department Head of Industrial engineering
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Tenure-Track Assistant Professor in Integrative Systems Engineering NSF Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere(CASA) Department of Electrical and Computer Engineering
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《系统工程理论与实践》 EI CSCD 北大核心 2009年第2期99-,共1页
In conjunction with the NSF Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA),the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst invi... In conjunction with the NSF Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA),the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst invites applications for a tenure-track position in Integrative Systems Engineering(ISE) at the Assistant Professor level to begin September 2009. 展开更多
关键词 CASA In Tenure-Track Assistant Professor in Integrative Systems engineering NSF engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere Department of Electrical and Computer engineering NSF
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