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REHABILITATION OF AN ICONIC SKYSCRAPER POISED TO SPUR REVITALIZATION OF A DOWNTOWN NEIGHBORHOOD

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Journal of Green Building 2016年第3期11卷 35-54页

作者： robert C.burns Patrick Thompson Historic Architecture for Commonwealth Architects Commonwealth Architects

The revitalization of downtown Richmond,Virginia,in the 21st century has been a slow process,beginning in the financial center near the State Capitol Building and migrating slowly westward along Broad Street,the traditional retail avenue of the *** by one over the course of the past several years,large,iconic buildings have been rehabilitated for new and exciting *** buildings have long been associated with the history of the City itself:the Miller&Rhoads Department Store,the John Marshall Hotel,the First National Bank Building,and the Hotel Richmond among *** Central National Bank(CNB)Building was built at the dawn of the Great Depression and eventually became one of the last Art Deco style skyscrapers remaining in downtown *** location in the neglected western fringe area of Broad Street made it the next logical target for *** Douglas Development purchased the vacant building in 2005,they were buying the crowning piece of architecture that they hoped would become the linchpin project to spur the revitalization of the surrounding *** lofty goal was not without challenges,of course,and it took 8 years to put the project together and start the building’s *** complications inherent in the rehabilitation of any iconic 75-year old building listed on the National Register of Historic Places to suit continued use for contemporary life also clearly came into play.

关键词： historic rehabilitation contextual architecture urban revitalization sustainable strategies iconic architecture embodied energy

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彭斯诗歌精选

作者： (英)robert burns

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彭斯诗与歌

2017年

作者： (英)罗伯特·彭斯(robert burns)

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一朵红红的玫瑰

大学英语 2003年第8期 52-53页

作者： robert burns 杨霞复旦大学

哦,我的爱像一朵红红的玫瑰, 六月初绽;哦,我的爱像一首悠悠的旋律, 和谐悦耳。

关键词：《一朵红红的玫瑰》抑扬格

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我心在高原

英语知识 2004年第7期 10-11页

作者： robert burns 杨柳不详研22101103 徐州师范大学

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包装设计是广告和推销中的关键一环

上海包装 1980年第4期 9-11页

作者： robert burns 陈忠平

商店的货架可能是画面必须要起作用的最严格和相竞争的地方。在这里对一件设计成功的包装一瞥就能看清外表和产生希望。它将会吸引住人们的眼光,具有特殊的产品个性,与其竞争物有鲜明的对照;突出商品牌号及制作上的一致性。它会招致好... 详细信息

商店的货架可能是画面必须要起作用的最严格和相竞争的地方。在这里对一件设计成功的包装一瞥就能看清外表和产生希望。它将会吸引住人们的眼光,具有特殊的产品个性,与其竞争物有鲜明的对照;突出商品牌号及制作上的一致性。它会招致好奇性、信心、试用和信任,它的正面、侧面和反面都很美观,颠倒过来也可认出。一件包装的外观和图案设计受约于包装

关键词：包装设计皮革地位画面货架成革肥皂

My Heart's in the Highlands

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中学生英语(高中版) 2002年第9期 1-1页

作者： robert burns

My heart’s in the Highlands,my heart is not here;My heart’s in the Highlands a-chasing the deer;

关键词： In

Multi-Scale Dilated Convolution Network for SPECT-MPI Cardiovascular Disease Classification with Adaptive Denoising and Attenuation Correction

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 299-327页

作者： A.robert Singh Suganya Athisayamani Gyanendra Prasad Joshi Bhanu Shrestha Department of Computational Intelligence SRM Institute of Science and TechnologyKattankulathur603203Tamil NaduIndia School of Computing Sastra Deemed to be UniversityThanjavur613401Tamil NaduIndia Department of Artificial Intelligence&Software Kangwon National UniversitySamcheok25913Republic of Korea Department of Information Convergence System Graduate School of Smart ConvergenceKwangwoon UniversitySeoul01897Republic of Korea

Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronary artery disease(CAD).The automatic classification of SPECT images for different techniques has achieved near-optimal accuracy when using convolutional neural networks(CNNs).This paper uses a SPECT classification framework with three steps:1)Image denoising,2)Attenuation correction,and 3)Image *** denoising is done by a U-Net architecture that ensures effective image *** correction is implemented by a convolution neural network model that can remove the attenuation that affects the feature extraction process of ***,a novel multi-scale diluted convolution(MSDC)network is *** merges the features extracted in different scales and makes the model learn the features more *** scales of filters with size 3×3 are used to extract *** three steps are compared with state-of-the-art *** proposed denoising architecture ensures a high-quality image with the highest peak signal-to-noise ratio(PSNR)value of *** proposed classification method is compared with the five different CNN models,and the proposed method ensures better classification with an accuracy of 96%,precision of 87%,sensitivity of 87%,specificity of 89%,and F1-score of 87%.To demonstrate the importance of preprocessing,the classification model was analyzed without denoising and attenuation correction.

关键词： SPECT-MPI CAD MSDC denoising attenuation correction classification

Three-Stage Transfer Learning with AlexNet50 for MRI Image Multi-Class Classification with Optimal Learning Rate

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 155-183页

作者： Suganya Athisayamani A.robert Singh Gyanendra Prasad Joshi Woong Cho School of Computing Sastra Deemed to be UniversityThanjavur613401India Department of Computational Intelligence SRM Institute of Science and TechnologyKattankulathur603203India Department of AI and Software Engineering Kangwon National UniversitySamcheok25913Republic of Korea Department of Electronics Information and Communication EngineeringKangwon National UniversitySamcheok25913Republic of Korea

In radiology,magnetic resonance imaging(MRI)is an essential diagnostic tool that provides detailed images of a patient’s anatomical and physiological *** is particularly effective for detecting soft tissue ***,radiologists manually interpret these images,which can be labor-intensive and time-consuming due to the vast amount of *** address this challenge,machine learning,and deep learning approaches can be utilized to improve the accuracy and efficiency of anomaly detection in MRI *** manuscript presents the use of the Deep AlexNet50 model for MRI classification with discriminative learning *** are three stages for learning;in the first stage,the whole dataset is used to learn the *** the second stage,some layers of AlexNet50 are frozen with an augmented dataset,and in the third stage,AlexNet50 with an augmented dataset with the augmented *** method used three publicly available MRI classification datasets:Harvard whole brain atlas(HWBA-dataset),the School of Biomedical Engineering of Southern Medical University(SMU-dataset),and The National Institute of Neuroscience and Hospitals brain MRI dataset(NINS-dataset)for *** hyperparameter optimizers like Adam,stochastic gradient descent(SGD),Root mean square propagation(RMS prop),Adamax,and AdamW have been used to compare the performance of the learning ***-dataset registers maximum classification *** evaluated the performance of the proposed classification model using several quantitative metrics,achieving an average accuracy of 98%.

关键词： MRI tumors classification AlexNet50 transfer learning hyperparameter tuning optimizer