Segregation and polarization in urban areas by Morales, Alfredo J., Dong, Xiaowen, Bar-Yam, Yaneer, Pentland, Alex

“…Our analysis is consistent with theoretical concepts suggesting polarization is associated with social exposure that reinforces within-group homogenization and between-group differentiation, and they together promote social fragmentation in mirrored physical and virtual spaces.…”
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Recovery of media files from flash memory by Thong, Timothy Joseph Wai Hong

“…More often than not, JPEG files are stored in fragments in different orders which makes file recovery much more difficult. …”
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A Review of Traditional Project Procurement Towards Integrated Practice by Mohd Nawi, Mohd Nasrun, Abdul Nifa, Faizatul Akmar, Ahmed, Vian

“…This traditional construction process has been widely criticized for its fragmented approach to project delivery and its failure to form effective teams. …”
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A Review of Traditional Project Procurement Towards Integrated Practice by Mohd Nawi, Mohd Nasrun, Abdul Nifa, Faizatul Akmar, Ahmed, Vian

“…This traditional construction process has been widely criticized for its fragmented approach to project delivery and its failure to form effective teams. …”
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Integrated Project Delivery (Ipd): A Collaborative Approach to Improve the Construction Industry by Abdul Rahim, Syukran, Mohd Nawi, Mohd Nasrun, Abdul Nifa, Faizatul Akmar

“…This will further demoralise the construction players, in addition to the inherent problem of fragmentation issues in the construction which is already killing the industry. …”
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Fracture identification in well logging images: two-stage adaptive network by Zhang, Wei, Li, Zhipeng, Wu, Tong, Yao, Zhenqiu, Qiu, Ao, Li, Yanjun, Shi, Yibing

“…Automatic fracture identification and segmentation in well logging images is increasingly critical but arduous because of extensive exploration for oil and gas. …”
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Satellite optical and radar image fusion for land cover classification by Zhang, Guobin

“…Following that, different segmentation techniques will be applied to the filtered SAR image, such as Watersheld, Chan-Vese, Superpixel and K-Means segmentation methods. …”
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Self-Supervised Learning across the Spectrum by Shenoy, Jayanth, Zhang, Xingjian Davis, Tao, Bill, Mehrotra, Shlok, Yang, Rem, Zhao, Han, Vasisht, Deepak

“…Satellite image time series (SITS) segmentation is crucial for many applications, like environmental monitoring, land cover mapping, and agricultural crop type classification. …”
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Habitat occupancy of terrestrial mammals along Singapore’s purpose-built wildlife corridor by Sivaraman Sivanantham

“…Habitat fragmentation has been intensely researched due to its effect in undermining the integrity of whole ecosystems and ultimately resulting in the decline of biodiversity. …”
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Development of a machine-learning-based detection and tracking algorithm for drones by Er, Hwa Ming

“…However, fewer had tried using semantic segmentation for detection and tracking using drones [1], [2]. …”
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Frameworks of ecological connectivity: systematic review on green infrastructure’s case studies by Yeo, Owen Thian Seng, Mohd Yusof, Mohd Johari, Maruthaveeran, Sreetheran, Saito, Kei

“…Due to fast urbanisation, urban green space fragmentation has become a critical global concern. Nevertheless, understanding the planning and analysis of GI is deemed challenging. …”
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Matching-constrained active contours with affine-invariant shape prior by Yeung, Sai-Kit, Wang, Junyan, Chan, Kap Luk

“…In the object segmentation by active contours, an initial contour provided by user is often required. …”
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Variational model with image denoising fitting term for boundary extraction of breast ultrasound images by Badrulhisam, Nurdina, Ismail, Nurhuda, Jumaat, Abdul Kadir, Maasar, Mohd Azdi, Laham, Mohamed Faris

“…A recent selective variational model, termed the Convex Distance Selective Segmentation (CDSS) model, is effective at segmenting a specific image object. …”
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Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications by Gonzales, RA

“…This approach reduced inter-observer variability and improved the consistency of myocardial segmentation.</p> <br> <p>The fourth goal is to assist the automated segmentation of CMR short-axis slices into the American Heart Association 16-segment model for clinical applications across various CMR modalities. …”

Fast numerical methods for image restoration by Shi, Juan

“…It has been applied to solve the image denoising, segmentation and surface reconstruction problems.…”
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A critical analysis of current debates in natural law: a theo-cultural engagement with John Finnis, Jean Porter, & John Milbank by Morgan, G

“…The contribution of this thesis is borne out of a two-fold realisation: (1) that despite renewed levels of inter-disciplinary interest within the academy, the discourse has become increasingly fragmented and will continue to fragment in the absence of a critical analysis of the deeper theo-cultural assumptions and aporias that animate current debates in natural law; (2) that by illuminating and attending to the theological and methodological “unsaid(s)” that have, heretofore, been seldom acknowledged, one can begin to appreciate how the fragmentation of the discourse is inexorably linked to the fragmentation of the secular mythos. …”

A medical image-based computer-aided diagnosis system for musculoskeletal disease and disorder. by Chuah, Tong Kuan

“…Segmentation is an important and necessary step before features can be quantified to be used in the analysis and classification system. …”
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R-CNN minus R by Lenc, K, Vedaldi, A

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

The evolution and fate of waste plastics in landfills subject to physical and biochemical processes — implications for microplastics by Lu, Xuhong

“…Most of the mechanically fragmented MPs have diameters <100 µm. The MPs size distributions follow an established power-law model, which are dependent on stress, duration, porosity reduction, and fragmentation mechanism. …”
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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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