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Journal articles on the topic 'Features of location'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Shum, Leia C., Reza Faieghi, Terry Borsook, et al. "Indoor Location Data for Tracking Human Behaviours: A Scoping Review." Sensors 22, no. 3 (2022): 1220. http://dx.doi.org/10.3390/s22031220.

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Real-time location systems (RTLS) record locations of individuals over time and are valuable sources of spatiotemporal data that can be used to understand patterns of human behaviour. Location data are used in a wide breadth of applications, from locating individuals to contact tracing or monitoring health markers. To support the use of RTLS in many applications, the varied ways location data can describe patterns of human behaviour should be examined. The objective of this review is to investigate behaviours described using indoor location data, and particularly the types of features extracte

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YUAN, Wei-qi, and Yan LI. "Hand shape features location method." Journal of Computer Applications 30, no. 12 (2011): 3311–13. http://dx.doi.org/10.3724/sp.j.1087.2010.03311.

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Li, Da, and Zhao Niu. "A Wireless Fingerprint Positioning Method Based on Wavelet Transform and Deep Learning." ISPRS International Journal of Geo-Information 10, no. 7 (2021): 442. http://dx.doi.org/10.3390/ijgi10070442.

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As the demand for location services increases, research on location technology has aroused great interest. In particular, signal-based fingerprint location positioning technology has become a research hotspot owing to its high positioning performance. In general, the received signal strength indicator (RSSI) will be used as a location feature to build a fingerprint database. However, at different locations, this feature distinction may not be obvious, resulting in low positioning accuracy. Considering the wavelet transform can get valuable features from the signals, the long-term evolution (LT

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Zhou, G., Q. Li, G. Deng, T. Yue, and X. Zhou. "MINING CO-LOCATION PATTERNS WITH CLUSTERING ITEMS FROM SPATIAL DATA SETS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (May 2, 2018): 2505–9. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2505-2018.

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The explosive growth of spatial data and widespread use of spatial databases emphasize the need for the spatial data mining. Co-location patterns discovery is an important branch in spatial data mining. Spatial co-locations represent the subsets of features which are frequently located together in geographic space. However, the appearance of a spatial feature C is often not determined by a single spatial feature A or B but by the two spatial features A and B, that is to say where A and B appear together, C often appears. We note that this co-location pattern is different from the traditional c

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Imran, Sajida, and Young-Bae Ko. "A Novel Indoor Positioning System Using Kernel Local Discriminant Analysis in Internet-of-Things." Wireless Communications and Mobile Computing 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/2976751.

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WLAN based localization is a key technique of location-based services (LBS) indoors. However, the indoor environment is complex; received signal strength (RSS) is highly uncertain, multimodal, and nonlinear. The traditional location estimation methods fail to provide fair estimation accuracy under the said environment. We proposed a novel indoor positioning system that considers the nonlinear discriminative feature extraction of RSS using kernel local Fisher discriminant analysis (KLFDA). KLFDA extracts location features in a well-preserved kernelized space. In the new kernel featured space, n

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Han, Guang Lin, and Li Ping Xia. "Sub-Pixel Image Features Location Technology." Applied Mechanics and Materials 303-306 (February 2013): 1009–12. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1009.

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Based on image features high precision positioning measurement research. Design of a Harris corner sub-pixel location algorithm, and makes the simulation experiment. Algorithm in image noise can be realized under the condition of larger than 0.1 pixels high precision positioning.

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Joe, Juyeon, and Min-Shik Kim. "Spatial Attention in Visual Working Memory Strengthens Feature-Location Binding." Vision 7, no. 4 (2023): 79. http://dx.doi.org/10.3390/vision7040079.

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There is a debate about whether working memory (WM) representations are individual features or bound objects. While spatial attention is reported to play a significant role in feature binding, little is known about the role of spatial attention in WM. To address this gap, the current study required participants to maintain multiple items in their WM and employed a memory-driven attention capture paradigm. Spatial attention in WM was manipulated by presenting an exogenous cue at one of the locations that memory items had occupied. The effects of spatial attention on attention guidance in visual

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Schneegans, Sebastian, William J. Harrison, and Paul M. Bays. "Location-independent feature binding in visual working memory for sequentially presented objects." Attention, Perception, & Psychophysics 83, no. 6 (2021): 2377–93. http://dx.doi.org/10.3758/s13414-021-02245-w.

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AbstractSpatial location is believed to have a privileged role in binding features held in visual working memory. Supporting this view, Pertzov and Husain (Attention, Perception, & Psychophysics, 76(7), 1914–1924, 2014) reported that recall of bindings between visual features was selectively impaired when items were presented sequentially at the same location compared to sequentially at different locations. We replicated their experiment, but additionally tested whether the observed impairment could be explained by perceptual interference during encoding. Participants viewed four oriented

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Baydar, Mucahit, and Songul Albayrak. "Location prediction in location-based social networks." Global Journal of Information Technology: Emerging Technologies 7, no. 3 (2017): 149–56. http://dx.doi.org/10.18844/gjit.v7i3.2835.

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AbstractDevelopments in mobile devices and wireless networks have led to the increasing popularity of location-based social networks. These networks allow users to explore new places, share their location, videos and photos and make friends. They give information about the mobility of users, which can be used to improve the networks. This paper studies the problem of predicting the next check-in of users of location-based social networks. For an accurate prediction, we first analyse the datasets that are obtained from the social networks, Foursquare and Gowalla. Then we obtain some features li

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Wang, Xiaoxuan, Peijie Jin, Wen Xiong, and Song Gao. "Mining Highly Visited Co-Location Patterns Based on Minimum Visitor Similarity Constraints." Electronics 12, no. 18 (2023): 3961. http://dx.doi.org/10.3390/electronics12183961.

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Spatial co-location pattern is a subset of spatial features which shows association relationships based on the spatial neighborhoods. Because the previous prevalence measurements of a co-location pattern have not considered the visited information of spatial instances, co-location patterns do not reflect the social connections (such as their spatial instances are constantly visited by common or similar moving objects) between spatial features. In this paper, a special type of co-location pattern, “Highly visited co-location patterns”, is proposed, which considers the spatial proximity and visi

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Bayrak, Ahmet Engin, and Faruk Polat. "Effective feature reduction for link prediction in location-based social networks." Journal of Information Science 45, no. 5 (2018): 676–90. http://dx.doi.org/10.1177/0165551518808200.

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In this study, we investigated feature-based approaches for improving the link prediction performance for location-based social networks (LBSNs) and analysed their performances. We developed new features based on time, common friend detail and place category information of check-in data in order to make use of information in the data which cannot be utilised by the existing features from the literature. We proposed a feature selection method to determine a feature subset that enhances the prediction performance with the removal of redundant features by clustering them. After clustering feature

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Abozaid, V., H. Arif Abdulrahman, and D. Ayoub Ibrahim. "IMPACT OF REGIONAL DISTRIBUTION AND AIR POLLUTION ON INTERNAL STRUCTURE OF MELIA AZEDARACH L. LEAVES." IRAQI JOURNAL OF AGRICULTURAL SCIENCES 52, no. 6 (2021): 1326–33. http://dx.doi.org/10.36103/ijas.v52i6.1472.

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This study was performed to investigate the impact of air pollution on leaf area and anatomical features of Melia azedarach L. trees, in urban areas with three demographical classes: location (I) industrial area, location (II) roadside area and free parts (control area) as a location (III) of Duhok city/Kurdistan Region-Iraq, during July 2021. The results demonstrated that the leaf area of selected plants' leaves in location I had reduced with no noticeable change in the average stomata density in the three locations I, II and Ⅲ. Meanwhile, the results of the most anatomical features of the bl

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Szinte, Martin, Donatas Jonikaitis, Martin Rolfs, Patrick Cavanagh, and Heiner Deubel. "Presaccadic motion integration between current and future retinotopic locations of attended objects." Journal of Neurophysiology 116, no. 4 (2016): 1592–602. http://dx.doi.org/10.1152/jn.00171.2016.

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Object tracking across eye movements is thought to rely on presaccadic updating of attention between the object's current and its “remapped” location (i.e., the postsaccadic retinotopic location). We report evidence for a bifocal, presaccadic sampling between these two positions. While preparing a saccade, participants viewed four spatially separated random dot kinematograms, one of which was cued by a colored flash. They reported the direction of a coherent motion signal at the cued location while a second signal occurred simultaneously either at the cue's remapped location or at one of sever

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Bessell, Nicola, and Eimear Mulhall. "What’s in an Accent? Perceptions of Young Adult Listeners in Cork and Kilkenny." Journal of Clinical Speech and Language Studies 21, no. 1 (2014): 63–85. http://dx.doi.org/10.3233/acs-2014-21106.

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Objective: To investigate the perceptions of Irish listeners concerning geographical origin, occupation and socio-economic class, based on speech samples from County Cork; to relate this information to phonetic features of each speaker’s accent and recent changes in Irish English. Methods: Recordings of speakers from three locations in County Cork were analyzed for features of supra-regional and advanced Irish English (Hickey, 1998, 2003, 2010). These recordings were played to young adult listeners from counties Cork and Kilkenny. Listeners completed a questionnaire assessing the location, occ

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Lu, Eric Hsueh-Chan, and You-Ru Lin. "A Self-Attention Model for Next Location Prediction Based on Semantic Mining." ISPRS International Journal of Geo-Information 12, no. 10 (2023): 420. http://dx.doi.org/10.3390/ijgi12100420.

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With the rise in the Internet of Things (IOT), mobile devices and Location-Based Social Network (LBSN), abundant trajectory data have made research on location prediction more popular. The check-in data shared through LBSN hide information related to life patterns, and obtaining this information is helpful for location prediction. However, the trajectory data recorded by mobile devices are different from check-in data that have semantic information. In order to obtain the user’s semantic, relevant studies match the stay point to the nearest Point of Interest (POI), but location error may lead

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Ayoob, Ayoob, Gang Su, and Gaith Al. "Hierarchical Growing Neural Gas Network (HGNG)-Based Semicooperative Feature Classifier for IDS in Vehicular Ad Hoc Network (VANET)." Journal of Sensor and Actuator Networks 7, no. 3 (2018): 41. http://dx.doi.org/10.3390/jsan7030041.

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In this research, new modeling strategy based hierarchical growing neural gas network (HGNG)-semicooperative for feature classifier of intrusion detection system (IDS) in a vehicular ad hoc network (VANET). The novel IDS mainly presents a new design feature for an extraction mechanism and a HGNG-based classifier. Firstly, the traffic flow features and vehicle location features were extracted in the VANET model. In order to effectively extract location features, a semicooperative feature extraction is used for collecting the current location information for the neighboring vehicles through a co

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Gabrielli, Laura, Aurora Greta Ruggeri, and Massimiliano Scarpa. "“Location, Location, Location”: Fluctuations in Real Estate Market Values after COVID-19 and the War in Ukraine Based on Econometric and Spatial Analysis, Random Forest, and Multivariate Regression." Land 12, no. 6 (2023): 1248. http://dx.doi.org/10.3390/land12061248.

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In this research, the authors aim to detect the marginal appreciation of construction and neighbourhood characteristics of property prices at three different time points: before the COVID-19 pandemic, two years after the first COVID-19 alert but before the War in Ukraine, and one year after the outbreak of the War. The marginal appreciations of the building’s features are analysed for a pilot case study in Northern Italy using a Random Forest feature importance analysis and a Multivariate Regression. Several techniques are integrated into this study, such as computer programming in Python lang

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Yang, Yang, Huiwen Zheng, Chunhua Wang, Wanyue Xiao, and Taigang Liu. "Predicting Apoptosis Protein Subcellular Locations based on the Protein Overlapping Property Matrix and Tri-Gram Encoding." International Journal of Molecular Sciences 20, no. 9 (2019): 2344. http://dx.doi.org/10.3390/ijms20092344.

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To reveal the working pattern of programmed cell death, knowledge of the subcellular location of apoptosis proteins is essential. Besides the costly and time-consuming method of experimental determination, research into computational locating schemes, focusing mainly on the innovation of representation techniques on protein sequences and the selection of classification algorithms, has become popular in recent decades. In this study, a novel tri-gram encoding model is proposed, which is based on using the protein overlapping property matrix (POPM) for predicting apoptosis protein subcellular lo

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Zhu, Ye, Xiaoqian Shen, Shikun Liu, Xiaoli Zhang, and Gang Yan. "Image Splicing Location Based on Illumination Maps and Cluster Region Proposal Network." Applied Sciences 11, no. 18 (2021): 8437. http://dx.doi.org/10.3390/app11188437.

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Splicing is the most common operation in image forgery, where the tampered background regions are imported from different images. Illumination maps are inherent attribute of images and provide significant clues when searching for splicing locations. This paper proposes an end-to-end dual-stream network for splicing location, where the illumination stream, which includes Grey-Edge (GE) and Inverse-Intensity Chromaticity (IIC), extract the inconsistent features, and the image stream extracts the global unnatural tampered features. The dual-stream feature in our network is fused through Multiple

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Mead, Esther, Maryam Maleki, Mohammad Arani, and Nitin Agarwal. "Proposing Location-based Predictive Features for Modeling Refugee Counts." Transnational Education Review 1, no. 1 (2023): 3–16. http://dx.doi.org/10.33182/ter.v1i1.2883.

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Machine learning models to predict refugee crisis situations are still lacking. The model proposed in this work uses a set of predictive features that are indicative of the sociocultural, socioeconomic, and economic characteristics that exist within each country and region. Twenty-eight features were collected for specific countries and years. The feature set was tested in experiments using ordinary least squares regression based on regional subsets. Potential location-based features stood out in our results, such as the global peace index, access to electricity, access to basic water, media c

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Chen, Chao, Shuai Li, and Y. Frank Chen. "An Accurate Detection and Location of Weld Surface Defect Based on Laser Vision." Key Engineering Materials 963 (October 13, 2023): 197–207. http://dx.doi.org/10.4028/p-vaqqo3.

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In order to effectively improve the efficiency of automatic detection and subsequent processing of welding defects in the construction field, this paper proposes a method for detecting and locating weld surface defects based on machine vision and laser vision. YOLOv5 is used for the initial detection and identification of weld hole defects to obtain the approximate location of the defect. Subsequently, the detailed features of the defect sites are extracted by scanning the approximate range of defect locations with a line laser 3D sensor based on the identification of weld defect holes. Finall

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Jia, Xing-Zhao, Chang-Lei DongYe, Yan-Jun Peng, Wen-Xiu Zhao, and Tian-De Liu. "MRBENet: A Multiresolution Boundary Enhancement Network for Salient Object Detection." Computational Intelligence and Neuroscience 2022 (October 10, 2022): 1–11. http://dx.doi.org/10.1155/2022/7780756.

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Salient Object Detection (SOD) simulates the human visual perception in locating the most attractive objects in the images. Existing methods based on convolutional neural networks have proven to be highly effective for SOD. However, in some cases, these methods cannot satisfy the need of both accurately detecting intact objects and maintaining their boundary details. In this paper, we present a Multiresolution Boundary Enhancement Network (MRBENet) that exploits edge features to optimize the location and boundary fineness of salient objects. We incorporate a deeper convolutional layer into the

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Coyne, Erin S., and Simon S. Wing. "The business of deubiquitination – location, location, location." F1000Research 5 (February 11, 2016): 163. http://dx.doi.org/10.12688/f1000research.7220.1.

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A majority of proteins in the cell can be modified by ubiquitination, thereby altering their function or stability. This ubiquitination is controlled by both ubiquitinating and deubiquitinating enzymes (DUBs). The number of ubiquitin ligases exceeds that of DUBs by about eightfold, indicating that DUBs may have much broader substrate specificity. Despite this, DUBs have been shown to have quite specific physiological functions. This functional specificity is likely due to very precise regulation of activity arising from the sophisticated use of all mechanisms of enzyme regulation. In this comm

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Delooze, Molly A., Naomi Langerock, Robin Macy, Evie Vergauwe, and Candice C. Morey. "Encode a Letter and Get Its Location for Free? Assessing Incidental Binding of Verbal and Spatial Features." Brain Sciences 12, no. 6 (2022): 685. http://dx.doi.org/10.3390/brainsci12060685.

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Previous studies have demonstrated that when presented with a display of spatially arranged letters, participants seem to remember the letters’ locations when letters are the focus of a recognition test, but do not remember letters’ identity when locations are tested. This strong binding asymmetry suggests that encoding location may be obligatory when remembering letters, which requires explanation within theories of working memory. We report two studies in which participants focused either on remembering letters or locations for a short interval. At test, positive probes were either intact le

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Murphy, Timothy I., Amanda G. Douglass, Peter van Wijngaarden, and James A. Armitage. "Programmatically Localizing Diabetic Retinopathy Features in 45-Degree Retinal Photographs Using Anatomical Colocation." Journal of Clinical Medicine 13, no. 3 (2024): 807. http://dx.doi.org/10.3390/jcm13030807.

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Background: The aim in this study was to investigate the localization of diabetic retinopathy features at the posterior pole. Methods: This study extracted diabetic retinopathy feature locations from 757 macula-centered 45-degree fundus photographs in the publicly available DDR dataset. Arteriole and venule locations were also extracted from the RITE (n = 35) and IOSTAR (n = 29) datasets. Images were normalized to collocate optic disc and macula positions, and feature positions were collated to generate a frequency distribution matrix. Sørensen–Dice coefficients were calculated to compare the

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Malghem, Jacques, Frederic Lecouvet, Thomas Kirchgesner, Souad Acid, and Bruno Vande Berg. "Osteoid osteoma of the hip: imaging features." Skeletal Radiology 49, no. 11 (2020): 1709–18. http://dx.doi.org/10.1007/s00256-020-03515-8.

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Abstract Osteoid osteoma (OO), a small bone tumor relatively common in young subjects, frequently involves the hip. In addition to typical findings, we emphasize unsuspected clinical and imaging features including painless OO causing limping gait, non-visibility of totally mineralized nidus, absence of hyperostosis or adjacent edema, and recurrence at distance from the initial location. We also discuss the option of medical treatment for some cases of deep hip locations.

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M. Zaki, Salim, M. A. Ngadi, Maznah Kamat, and Shukor A. Razak. "A Review of Location Prediction Techniques in Mobile Ad Hoc Networks." Al-Qadisiyah Journal Of Pure Science 25, no. 2 (2020): 17–28. http://dx.doi.org/10.29350/qjps.2020.25.2.974.

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Predicting future locations of mobile objects has received a lot of attention in research due to its importance in mobile ad hoc networks. The precise location of a mobile node is essential in determining the location of the destination node for the purpose of communication. High mobility of nodes and delay in sending current location affect the accuracy of mobile nodes’ locations. Providing accurate location needs well-designed location prediction technique considers a number of factors that assist in retrieving up-to-date locations. This paper reviews available models: mathematical models an

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Szabo, Peter A., Michelle Miron, and Donna L. Farber. "Location, location, location: Tissue resident memory T cells in mice and humans." Science Immunology 4, no. 34 (2019): eaas9673. http://dx.doi.org/10.1126/sciimmunol.aas9673.

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The discovery of T cells resident in diverse tissues has altered our understanding of adaptive immunity to encompass site-specific responses mediated by tissue-adapted memory T cells throughout the body. Here, we discuss the key phenotypic, transcriptional, and functional features of these tissue-resident memory T cells (TRM) as established in mouse models of infection and translated to humans by novel tissue sampling approaches. Integration of findings from mouse and human studies may hold the key to unlocking the potential of TRM for promoting tissue immunity and preventing infection.

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Mouele Sedel, Okassa. "FEATURES AND CONDITIONS FOR THE LOCATION OF SHOPPING AND ENTERTAINMENT CENTRES WITHIN CITIES." Spatial development, no. 10 (November 29, 2024): 152–60. https://doi.org/10.32347/2786-7269.2024.10.152-160.

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The article analyses the conditions of location of shopping and entertainment centres within cities, such as: in central areas, business districts and on the periphery. Based on the literature, the article examines the conditions of transport accessibility to the locations of shopping and entertainment centres and the conditions of land allocation for their construction. It is found that in the case of locating shopping and entertainment centres within the central parts of cities, it is necessary to take into account the existing urban planning pedestrian and transport routes. In other words,

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Ahmad, Malik Shahzad, and Muhammad Azhar Bhatti. "News Location Classification." iRASD Journal of Computer Science and Information Technology 2, no. 1 (2021): 52–62. http://dx.doi.org/10.52131/jcsit.2021.0201.0010.

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Every day there are a lot of things that happen around the world. There are various ways to record every event that is occurring around the world, such as news, blogs, and articles. Over the past few years, there are multiple news available on every event that has occurred. It adds to the size of information that is available for human beings to consume. People are, moving from paper-based newspapers to digital newspapers to get their daily feed of news and digitization has a role to play in this behaviour. These days every person is preoccupied with a lot of work, online and offline, as menti

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Duan, Jiangli, Wang Lizhen, Xin Hu, and Hongmei Chen. "Mining spatial dynamic co-location patterns." Filomat 32, no. 5 (2018): 1491–97. http://dx.doi.org/10.2298/fil1805491d.

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Spatial co-location pattern mining is an important part of spatial data mining, and its purpose is to discover the coexistence spatial feature sets whose instances are frequently located together in a geographic space. So far, many algorithms of mining spatial co-location pattern and their corresponding expansions have been proposed. However, dynamic co-location patterns have not received attention such as the real meaningful pattern {Ganoderma lucidum new, maple tree dead} means that ?Ganoderma lucidum? grows on the ?maple tree? which was already dead. Therefore, in this paper, we propose the

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Iorkyase, Ephraim Tersoo, Christos Tachtatzis, and Robert Atkinson. "PCA-Enhanced Methodology for the Identification of Partial Discharge Locations." Energies 16, no. 18 (2023): 6532. http://dx.doi.org/10.3390/en16186532.

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Partial discharge (PD) that occurs due to insulation breakdown is a precursor to plant failure. PD emits electromagnetic pulses which radiate through space and can be detected using appropriate sensing devices. This paper proposed an enhanced radiolocation technique to locate PD. This approach depends on sensing the radio frequency spectrum and the extraction of PD location features from PD signals. We hypothesize that the statistical characterization of the received PD signals generates many features that represent distinct PD locations within a substation. It is assumed that the waveform of

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ZHANG, DAQING, CHAO CHEN, ZHANGBING ZHOU, and BIN LI. "IDENTIFYING LOGICAL LOCATION VIA GPS-ENABLED MOBILE PHONE AND WEARABLE CAMERA." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 08 (2012): 1260007. http://dx.doi.org/10.1142/s0218001412600075.

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More and more location-based services become relying on the logical notion of a physical location, known as logical location (e.g. Starbucks, KFC). In this paper, we propose a new way to identify logical location using (1) a GPS-enabled mobile phone and (2) a wearable camera embedded in user's glasses. When a user with a wearable camera is detected paying attention to a certain physical location, all the logical locations within the error range of the GPS coordinates are considered as the matched candidates. We select the representative frames in the video stream corresponding to user's intere

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Li, Feng-Min, and Xiao-Wei Gao. "Predicting Gram-Positive Bacterial Protein Subcellular Location by Using Combined Features." BioMed Research International 2020 (August 3, 2020): 1–8. http://dx.doi.org/10.1155/2020/9701734.

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There are a lot of bacteria in the environment, and Gram-positive bacteria are the most common ones. Some Gram-positive bacteria are very harmful to the human body, so it is significant to predict Gram-positive bacterial protein subcellular location. And identification of Gram-positive bacterial protein subcellular location is important for developing effective drugs. In this paper, a new Gram-positive bacterial protein subcellular location dataset was established. The amino acid composition, the gene ontology annotation information, the hydropathy dipeptide composition information, the amino

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Zhang, Ting-He, and Shao-Wu Zhang. "Advances in the Prediction of Protein Subcellular Locations with Machine Learning." Current Bioinformatics 14, no. 5 (2019): 406–21. http://dx.doi.org/10.2174/1574893614666181217145156.

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Background: Revealing the subcellular location of a newly discovered protein can bring insight into their function and guide research at the cellular level. The experimental methods currently used to identify the protein subcellular locations are both time-consuming and expensive. Thus, it is highly desired to develop computational methods for efficiently and effectively identifying the protein subcellular locations. Especially, the rapidly increasing number of protein sequences entering the genome databases has called for the development of automated analysis methods. Methods: In this review,

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Savin, S. I., and L. Yu Vorochaeva. "CLASSIFICATION FEATURES OF TENSEGRITY ROBOTS: PURPOSE AND DESIGN FEATURES." IZVESTIA VOLGOGRAD STATE TECHNICAL UNIVERSITY, no. 9(256) (September 15, 2021): 58–68. http://dx.doi.org/10.35211/1990-5297-2021-9-256-58-68.

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In this paper the classification features of tensegrity robots are highlighted, and their classification by purpose (stationary and mobile devices) and design features (shape, configuration options and the presence and location of drives are considered in detail).

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Ak, Çiğdem, Alex D. Chitsazan, Mehmet Gönen, Ruth Etzioni, and Aaron J. Grossberg. "Spatial Prediction of COVID-19 Pandemic Dynamics in the United States." ISPRS International Journal of Geo-Information 11, no. 9 (2022): 470. http://dx.doi.org/10.3390/ijgi11090470.

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The impact of COVID-19 across the United States (US) has been heterogeneous, with rapid spread and greater mortality in some areas compared with others. We used geographically-linked data to test the hypothesis that the risk for COVID-19 was defined by location and sought to define which demographic features were most closely associated with elevated COVID-19 spread and mortality. We leveraged geographically-restricted social, economic, political, and demographic information from US counties to develop a computational framework using structured Gaussian process to predict county-level case and

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Furukawa, Shigeto, and John C. Middlebrooks. "Cortical Representation of Auditory Space: Information-Bearing Features of Spike Patterns." Journal of Neurophysiology 87, no. 4 (2002): 1749–62. http://dx.doi.org/10.1152/jn.00491.2001.

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Previous studies have demonstrated that the spike patterns of cortical neurons vary systematically as a function of sound-source location such that the response of a single neuron can signal the location of a sound source throughout 360° of azimuth. The present study examined specific features of spike patterns that might transmit information related to sound-source location. Analysis was based on responses of well-isolated single units recorded from cortical area A2 in α-chloralose-anesthetized cats. Stimuli were 80-ms noise bursts presented from loudspeakers in the horizontal plane; source a

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Stewart, Hannah J., Dawei Shen, Nasim Sham, and Claude Alain. "Involuntary Orienting and Conflict Resolution during Auditory Attention: The Role of Ventral and Dorsal Streams." Journal of Cognitive Neuroscience 32, no. 10 (2020): 1851–63. http://dx.doi.org/10.1162/jocn_a_01594.

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Selective attention to sound object features such as pitch and location is associated with enhanced brain activity in ventral and dorsal streams, respectively. We examined the role of these pathways in involuntary orienting and conflict resolution using fMRI. Participants were presented with two tones that may, or may not, share the same nonspatial (frequency) or spatial (location) auditory features. In separate blocks of trials, participants were asked to attend to sound frequency or sound location and ignore the change in the task-irrelevant feature. In both attend-frequency and attend-locat

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Zhang, Wenzhi, Runchuan Li, Shengya Shen, et al. "Interpretable Detection and Location of Myocardial Infarction Based on Ventricular Fusion Rule Features." Journal of Healthcare Engineering 2021 (October 12, 2021): 1–15. http://dx.doi.org/10.1155/2021/4123471.

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Myocardial infarction (MI) is one of the most common cardiovascular diseases threatening human life. In order to accurately distinguish myocardial infarction and have a good interpretability, the classification method that combines rule features and ventricular activity features is proposed in this paper. Specifically, according to the clinical diagnosis rule and the pathological changes of myocardial infarction on the electrocardiogram, the local information extracted from the Q wave, ST segment, and T wave is computed as the rule feature. All samples of the QT segment are extracted as ventri

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Wang, Ge, Yu-Jia Zhai, Zhen-Zhen Xue, and Ying-Ying Xu. "Improving Protein Subcellular Location Classification by Incorporating Three-Dimensional Structure Information." Biomolecules 11, no. 11 (2021): 1607. http://dx.doi.org/10.3390/biom11111607.

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The subcellular locations of proteins are closely related to their functions. In the past few decades, the application of machine learning algorithms to predict protein subcellular locations has been an important topic in proteomics. However, most studies in this field used only amino acid sequences as the data source. Only a few works focused on other protein data types. For example, three-dimensional structures, which contain far more functional protein information than sequences, remain to be explored. In this work, we extracted various handcrafted features to describe the protein structure

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Zong, Zixiao, Mengwei Yang, Justin Ley, Athina Markopoulou, and Carter Butts. "Privacy by Projection: Federated Population Density Estimation by Projecting on Random Features." Proceedings on Privacy Enhancing Technologies 2023, no. 1 (2023): 309–24. http://dx.doi.org/10.56553/popets-2023-0019.

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We consider the problem of population density estimation based on location data crowdsourced from mobile devices, using kernel density estimation (KDE). In a conventional, centralized setting, KDE requires mobile users to upload their location data to a server, thus raising privacy concerns. Here, we propose a Federated KDE framework for estimating the user population density, which not only keeps location data on the devices but also provides probabilistic privacy guarantees against a malicious server that tries to infer users' location. Our approach Federated random Fourier feature (RFF) KDE

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Annisa, Annisa, and Leni Angraeni. "Location Selection Query in Google Maps using Voronoi-based Spatial Skyline (VS2) Algorithm." Jurnal Online Informatika 6, no. 1 (2021): 25. http://dx.doi.org/10.15575/join.v6i1.667.

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Google Maps is one of the popular location selection systems. One of the popular features of Google Maps is nearby search. For example, someone who wants to find the closest restaurants to his location can use the nearby search feature. This feature only considers one specific location in providing the desired place choice. In a real-world situation, there may be a need to consider more than one location in selecting the desired place. Assume someone would like to choose a hotel close to the conference hall, the museum, beach, and souvenir store. In this situation, nearby search feature in Goo

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Li, Xiaomei, Xindong Wu, Gongqing Wu, and Xuegang Hu. "Subchloroplast Location Prediction via Homolog Knowledge Transfer and Feature Selection." Proceedings of the AAAI Conference on Artificial Intelligence 27, no. 1 (2013): 1631–32. http://dx.doi.org/10.1609/aaai.v27i1.8527.

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The accuracy of subchloroplast location prediction algorithms often depends on predictive and succinct features derived from proteins. Thus, to improve the prediction accuracy, this paper proposes a novel SubChloroplast location prediction method, called SCHOTS, which integrates the HOmolog knowledge Transfer and feature Selection methods. SCHOTS contains two stages. First, discriminating features are generated by WS-LCHI, a Weighted Gene Ontology (GO) transfer model based on bit-Score of proteins and Logarithmic transformation of CHI-square. Second, the more informative GO terms are selected

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Zhang, Xiang De, Qing Song Tang, Hua Jin, and Yue Qiu. "Eye Location Based on Adaboost and Region Features." Applied Mechanics and Materials 143-144 (December 2011): 731–36. http://dx.doi.org/10.4028/www.scientific.net/amm.143-144.731.

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In this paper, we proposed a novel eye location method based on Adaboost and region features. Firstly, Haar features and Adaboost algorithm are used to extract the eye regions from a face image. Then, we highlight the characteristics of eyes to eye location. The method proposed have been tested in the CAS-PEAL-R1 database and CASIA NIR database separately, and the accuracy rate is 98.86% and 97.68%, which demonstrates the effectiveness of the method

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Blahacek, Michal, M. Chlada, and Z. Prevorovský. "Acoustic Emission Source Location Based on Signal Features." Advanced Materials Research 13-14 (February 2006): 77–82. http://dx.doi.org/10.4028/www.scientific.net/amr.13-14.77.

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Good knowledge of acoustic emission (AE) source location is the basic requirement for further damage mechanism characterization. Calculation of the AE source location is mostly based on arrival time differences of the signals recorded by different transducers. Error free arrival time determination is the crucial factor for the localization results accuracy together with the exact elastic wave velocity measurement. In the paper difficulties and limitations of the elastic wave velocity computation are shown. To solve the velocity and the time differences problems, new approach to AE source local

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Kramer, Ruth. "The location of gender features in the syntax." Language and Linguistics Compass 10, no. 11 (2016): 661–77. http://dx.doi.org/10.1111/lnc3.12226.

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Pae, Taavi, Egle Kaur, Anto Aasa, and Rein Ahas. "The Formation and Location Features of Estonian Cemeteries." Journal of Baltic Studies 37, no. 3 (2006): 277–97. http://dx.doi.org/10.1080/01629770608628893.

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Reilly, Michael. "Location-based phone features could aid government snoops." New Scientist 195, no. 2611 (2007): 24–25. http://dx.doi.org/10.1016/s0262-4079(07)61709-6.

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Amosov, M. I., S. S. Safina, and E. M. Tolmacheva. "Maritime airports in Japan: location and construction features." E3S Web of Conferences 402 (2023): 02001. http://dx.doi.org/10.1051/e3sconf/202340202001.

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The article deals with the experience of creating airports on artificial islands in Japan. On the basis of ministerial and departmental statistics, available on the Statistics Bureau of Japan portal and on the websites of regional services of individual prefectures, the role of these airports in solving the country’s transport problems is considered. A definition of a maritime airport has been formulated and their share in the total number of airports, passenger and cargo turnover of all airports in the country has been determined. The peculiarities of seaports localization are revealed. The m

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