PC-based software for thermal design of helixchanger heat exchangers by Fong, Lin Qiang

“…Shell-and-Tube Heat Exchangers with segmented baffles have proven to be versatile and efficient through years of industrial use. …”
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R-CNN minus R by Lenc, K, Vedaldi, A

“…However, the role of segmentation in CNN detectors remains controversial. …”

Bayesian dynamic programming approach for tracking time-varying model properties in SHM by Yang, Yanping, Zhu, Zuo, Au, Siu-Kui

“…Conventional approaches empirically divide data into non-overlapping segments with equal lengths and identify the model parameters within each segment based on a time-invariant model. …”
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Toward achieving robust low-level and high-level scene parsing by Shuai, Bing, Ding, Henghui, Liu, Ting, Wang, Gang, Jiang, Xudong

“…In this paper, we address the challenging task of scene segmentation. We first discuss and compare two widely used approaches to retain detailed spatial information from pretrained CNN - "dilation" and "skip". …”
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Hybrid SLAM and object recognition on an embedded platform by Low, Timothy Zhi Hao

“…The SCALE semantic segmentation is used to perform semantic segmentation on the input provided by the ZED 2 camera. …”
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Electromyography signal processing based on time and time-frequency representations for prosthesis application by Mahdavi, Farzaneh Akhavan

“…In this study, it was presented that the techniques of segmentation and segment size affect the classification accuracy. …”
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Dynamic scan chains : a novel architecture to lower the cost of VLSI test by Sitchinava, Nodari S. (Nodari Shalva), 1981-

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Weakly supervised learning on road area extraction via classification labels by Liu, Xuanyi

“…Then a gated fusion mechanism aggregates CAM and the segmentation branch’s pixel-level segmentation results to refine an output, supervised by some pseudo labels generated from road centerlines. …”
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Heart cycles using heart sounds by Ng, Jia Long

“…Hence, the first step is to implement and study a reliable method in finding heart sound segmentation. Then, further diagnostic technology can be researched using these segmentation data as it provides an exact location of the heart sound in each heart cycle. …”
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Automatic line matching across views by Schmid, C, Zisserman, A

“…The paper presents a new method for matching individual line segments between images. The method uses both grey-level information and the multiple view geometric relations between the images. …”

Rotation Inside Convex Kakeya Sets by Janzer, B

“…We also show that in three dimensions the answer is negative, even for the case when S is a line segment – but that in any dimension the first question has a positive answer when S is a line segment. …”

Attractiveness of Singapore's tertiary business education to foreign students by Pang, Kah Kin, Tee, Chun Siang, Teo, Reddy Hong Joo

“…This research aims to group factors important to international students studying management education in Singapore and also investigates for significant differences between different segments of the same population.…”
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An image processing approach to feature-preserving B-spline surface fairing by Kawasaki, Taro, Jayaraman, Pradeep Kumar, Shida, Kentaro, Zheng, Jianmin, Maekawa, Takashi

“…In particular, our approach adaptively partitions the B-spline surface into a set of segments such that each segment has approximately uniform parameterization, generates an image from each segment in the parameter space whose pixel values are the normal vectors of the surface, and then applies a bilateral filter in the parameter domain to fair the normal field. …”
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Slip along the San Andreas fault associated with the great 1857 earthquake by Sieh, Kerry

“…It is relatively uniform along each of several long segments, but changes rather abruptly in value between these segments. …”
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Meta-Learning Frameworks for Imaging Applications / by Sharma, Ashok, 1977-, editor 319639, Sengar, Sandeep Singh, 1985-, editor 656390, Singh, Parveen, 1976-, editor 656391, IGI Global Scientific Publishing (Online service) 655412

“…One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. …”
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Quantitative analysis of coronary artery from computed tomography angiography images by Cui, Hengfei

“…An automatic coronary artery segmentation approach based on Hessian filter and connected components is proposed. …”
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Audio watermarking by Ho, Shuet Mun, Ng, Ling Mei

“…This non-blind watermarking algorithm is based on both time and frequency base modulation. Segments of the file are compressed or expanded by adding or removing samples in the frequency domain. …”
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TDSF: Two-phase tamper detection in semi-fragile watermarking using two-level integer wavelet transform by Amrullah, Agit, Ernawan, Ferda, Anis Farihan, Mat Raffei, Liew, Siau-Chuin

“…The initial phase will check four segments to determine the tampered bit or not. A tampered segment is identified if it contains at least one tampered bit. …”
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Smooth object retrieval using a bag of boundaries by Arandjelović, R, Zisserman, A

“…The descriptors are tolerant to scale changes, segmentation failures, and limited viewpoint changes. …”

Semantic scene understanding on 3D point clouds by Dong, Shichao

“…Using regional purity can simultaneously prevent under-segmentation and over-segmentation problems during clustering. …”
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