Modeling pedestrian activity in cities with urban network analysis by Sevtsuk, Andres, Kalvo, Raul

“…Using Somerville, MA as case example, we demonstrate several commonly used functions for planners: examining pedestrian accessibility over networks; identifying critical walking routes to destinations; estimating foot-traffic on street segments; identifying frustration points for pedestrians; and evaluating how development changes may impact pedestrian activity in their vicinity. …”
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Augmented Object Intelligence with XR-Objects by Dogan, Mustafa Doga, Gonzalez, Eric, Ahuja, Karan, Du, Ruofei, Cola?o, Andrea, Lee, Johnny, Gonzalez-Franco, Mar, Kim, David

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Design and analysis of an 8-bit SAR analog-digital converter by Wang, Ting.

“…The simulation results show that the 8-bit SAR ADC is able to convert the 256 input segments within 0.7V into corresponding digital bits correctly at the 10MHz clock frequency. …”
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Ergonomic design parameters for Malaysian car driver seating position by Rashid, Zuli'zam

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Visualising cardiovascular pathology using computed tomography: the Heart multi-Omics imaging Atlas ProjEct (HOPE Atlas) by Xie, C

“…The primary aim was to understand the current limitations of coronary plaque segmentations on CT and with the availability of both CT and histopathology to overcome these challenges. …”

A New Invention Method to Determine the Reduction Factor for Low Fabric Tension Properties for Head Garment Fabrication by Aiman, A.F., Salleh, Mohamed Najib, Ismail, Khairul Azwan

“…Pressure garment fabric mostly supplied to the local hospitals with no information of the material properties and the fabrication method generally used a single reduction factor at various body segments. Reduction factor defined as the percentage of reducing the garment size from the original circumference of the body part which contributes to the compression. …”
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Cognitive Systems and Signal Processing : 5th International Conference, ICCSIP 2020, Zhuhai, China, December 25-27, 2020, Revised Selected Papers / by ICCSIP (Conference) (5th : 2020 : Zhuhai, China), organiser 642897, Sun, Fuchun, 1964-, editor 600994, Liu, Huaping, 1976-, editor 600996, Fang, Bin, editor 642896

Urban street clusters: unraveling the associations of street characteristics on urban vibrancy dynamics in age, time, and day by Jang, Kee M., Suh, Hanew, Haddad, Fadi G., Sun, Maoran, Duarte, Fábio, Kim, Youngchul

“…In this study, we incorporate multi-source big data and combine a set of features that comprehensively describe the scale, function, and topology of street segments in two Seoul districts: Jung-gu and Gangnam-gu. …”
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Silicone 3D printing : process optimization, product biocompatibility, and reliability of silicone meniscus implants by Luis, Eric, Pan, Houwen Matthew, Sing, Swee Leong, Bastola, Anil Kumar, Goh, Guo Dong, Goh, Guo Liang, Tan, Joel Heang Kuan, Bajpai, Ram, Song, Juha, Yeong, Wai Yee

“…A novel custom-made 3D silicone printer and two-part Ecoflex silicone resins were used to 3D-print standard-shaped silicone coupon and irregular-shaped meniscus structures via a heat-cured extrusion-based method. This article is segmented into three parts: (1) study on the effect of 3D printing parameters on dimensional accuracy and mechanical properties of 3D-printed silicone, (2) reliability and failure analysis of 3D-printed silicone according to ASTM D575 standards under monotonic and cyclic compressive loading, and (3) cytotoxicity of 3D-printed silicone by extraction method according to ISO 10993-12 for different extraction time and extract volume/surface area ratios. …”
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Ultrasound-guided needle tracking with deep learning: a novel approach with photoacoustic ground truth by Hui, Xie, Rajendran, Praveenbalaji, Ling, Tong, Dai, Xianjin, Xing, Lei, Pramanik, Manojit

“…The evaluation of needle segmentation performance extends across previously unseen ex vivo data and in vivo human data (collected from an open-source data repository). …”
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A New Variational Method for Bias Correction and Its Applications to Rodent Brain Extraction by Chang, Huibin, Huang, Weimin, Wu, Chunlin, Huang, Su, Guan, Cuntai, Sekar, Sakthivel, Bhakoo, Kishore Kumar, Duan, Yuping

“…On the other hand, the results of brain extraction are compared against manually segmented gold standards, BET, BSE and 3-D PCNN based on a number of metrics. …”
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HiTrip: Historical trajectory interpolation for trawlers via deep learning on multi-source data by Zhao, Zhongning, Chen, Jiaxuan, Shi, Yuqi, Hong, Feng, Jiang, Guiyuan, Huang, Haiguang, Zhao, Jinhua

“…The proposed deep learning model, integrating ResNet, LSTM, and MLP, seamlessly synthesizes spatial features from coarse fishing effort distributions, sea surface factor fields, and current fields, while accounting for the temporal relationships within trajectory segments. Evaluated on 1855 East China Sea trawler VMS records and Copernicus Climate Data Store hydrological factor data, HiTrip achieves a 0.20 km interpolation error, meeting a finery 0.005° × 0.005°spatial resolution demand for fishing effort distribution analysis. …”
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Advanced Reconstruction Techniques for CUORE: Searching Beyond the Standard Model with Cryogenic Calorimeters by Mayer, Daniel W.

“…This work establishes methods and analysis techniques to treat CUORE as a segmented detector in aggregate, with a focus towards identifying and reconstructing track-like signatures induced by high-energy through-going particles traversing the detector array. …”
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Multi-bounce Returns for Specular Surface Mapping from Consumer-grade Flash LiDAR by Lin, Tsung-Han

“…In addition to 3D reconstruction, we show multi-bounce returns help to enhance performances on applications such as segmentation and novel view synthesis. Our method can be combined with these state-of-the-art learned-based model, enhancing its robustness by discerning ambiguous scenarios. …”
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Phonetic Faithfulness in Phonological Opacity by Kim, Yeong-Joon

“…The results of typological surveys encompassing 87 counterfeeding and 65 counterbleeding interactions across languages support this prediction, revealing that opacified processes are subject to a narrow range of markedness conditions, such as coarticulatory assimilation (e.g., palatalization) and durational adjustments (e.g., segmental weakening). Other types of phonological processes, particularly non-natural ones, are only rarely, if ever, opacified. …”
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Know Thy Cell-Free DNA: Early Detection of Microsatellite Instability Using Ultra-Low-Pass Cell-Free DNA Sequences by Lu, Nicole

“…Microsatellites are short segments of repeated DNA motifs (i.e., base pair patterns) that are widespread in our genomes. …”
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Game of drones by Wei, LuoBin

“…Augmentation of data-points within gate position via gate segmentation for a more effective trajectory planning is also explored. …”
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Deep learning-based algorithm for synthetic aperture radar despeckling by Wang, Yuxuan

“…However, SAR images inherently suffer from speckle noise, which severely hinders the effective implementation of subsequent tasks such as image segmentation and target detection. Therefore, research on SAR image denoising and target detection technologies is of great significance. …”
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Universal machine learning classifier using extreme learning machines by Chen, Jinnan

“…Also, it can give us some accurate prediction based on the currently collected data and then automatically realize the objective of trend prediction, pattern recognition or segmentation like the development of autonomous vehicles, or the stock market forecasting. …”
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Flood risk analysis under consideration of river system dynamics and spatial temporal scales by Oliver, Julien

“…The risk-based approach, which quantifies both flooding frequencies and impacts, offers opportunities to design cost-efficient strategies to address all segments of the risk management cycle. While theoretically well established, current methods to quantify flood risks usually fail to capture adequately spatial and temporal dynamics of flood risks. …”
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