A Branched Convolutional Neural Network for Forecasting the Occurrence of Hazes in Paris Using Meteorological Maps with Different Characteristic Spatial Scales by Wang, Chien

“…It has been trained and validated using multi-decadal daily regional maps of many meteorological and hydrological variables alongside surface visibility observations. …”
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Luteolin escape mutants of dengue virus map to prM and NS2B and reveal viral plasticity during maturation by Vasudevan, Subhash G., Peng, Minhua, Swarbrick, Crystall Marie Dawn, Chan, Kitti Wing-Ki, Luo, Dahai, Zhang, Wei, Lai, Xiaoping, Li, Geng

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Distribution mapping of building classification and air pollution exposure in the urban city areas by using GIS-based application: A pilot study by Norsaffarina, Aziz, Paramjothy, Navin Kumaran, Mohammad Adam, Adman, Syarifuddin, Misbari, Lee, Lim Fang

“…The selected study locations were also mapped with the GIS mobile application to have a better understanding through visualization. …”
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Novel mutation G324C in WNT1 mapped in a large Pakistani family with severe recessively inherited Osteogenesis Imperfecta by Kausar, Mehran, Saima Siddiqi, Muhammad Yaqoob, Sajid Mansoor, Makitie, Outi, Asif Mir, Khor, Chiea Chuen, Foo, Jia Nee, Anees, Mariam

“…The present study was conducted to determine the underlying genetic cause of an autosomal recessive skeletal dysplasia in a large consanguineous family from Chinute, Pakistan.Materials and methods: Blood was collected from 24 individuals of affected family along with clinical data. Homozygosity mapping was performed to confirm consanguinity. SNPs were identified, followed by whole exome and Sanger sequencing. …”
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Unraveling microglial spatial organization in the developing human brain with DeepCellMap, a deep learning approach coupled with spatial statistics by Perochon, T, Krsnik, Z, Massimo, M, Ruchiy, Y, Romero, AL, Mohammadi, E, Li, X, Long, KR, Parkkinen, L, Blomgren, K, Lagache, T, Menassa, DA, Holcman, D

“…Here, we present DeepCellMap, a deep-learning-assisted tool that integrates multi-scale image processing with advanced spatial and clustering statistics. …”

HyMap imagery for copper and manganese prospecting in the east of Ameln valley shear zone (Kerdous inlier, western Anti-Atlas, Morocco) by Hajaj, Soufiane, El Harti, Abderrazak, Jellouli, Amine, Pour, Amin Beiranvand, Himyari, Saloua Mnissar, Hamzaoui, Abderrazak, Bensalah, Mohamed Khalil, Benaouiss, Naima, Hashim, Mazlan

“…This study focuses on generating a Mineral Potential Map based on Fuzzy Logic Modelling and HyMap-Based input layers. …”

Enhancing Landsat image based aboveground biomass estimation of black locust with scale bias-corrected LiDAR AGB map and stratified sampling by Qin, Shuhong, Wang, Hong, Li, Xiuneng, Gao, Jay, Jin, Jiaxin, Li, Yongtao, Lu, Jinbo, Meng, Pengyu, Sun, Jing, Song, Zhenglin, Donev, Petar, Ma, Zhangfeng

“…In this study, we first corrected the bias arising from upscaling the LG-AGB map to match the spatial resolution of Landsat observations. …”
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Dna markers and mapping of quantitative trait loci for yield and bunch quality in Deli dura X Yangambi pisifera oil palm (Elaeis guineensis) population by Seng, Tzer Ying

“…A total 804 segregating marker loci (489 SSRs, 307 AFLPs and 8 PCR-RFLP) were used for final linkage analysis and map construction. The map of DA41 (ARK86D X ML161P) was 2398.8 cM long with 512 marker loci (368 SSRs, 135 AFLPs and 9 PCR-RFLPs), at an average 32 markers and a range of 15-59 markers per linkage group, and an average map density of 5cM. …”
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Nature-based solutions for flood risk reduction : a probabilistic modeling framework by Lallemant, David, Hamel, Perrine, Balbi, Mariano, Lim, Tian Ning, Schmitt, Rafael, Win, Shelly

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RES.STR-001 Geographic Information System (GIS) Tutorial, January IAP 2016 by MIT GIS Services Group

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Towards the Development of Carbon Dioxide Emission Landscape in Singapore by Yong, Brandon Yung Sin, Pang, Jiming, Kastner, Catharine A., Kraft, Markus, Lau, Raymond

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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2002 by Gollub, Randy L., Bird, Stephanie J., Brown, E. N. (Emery N.), Fischl, Bruce, Kanwisher, Nancy, Kennedy, David N. (David Nelson), 1962-, Manoach, Dara, Melcher, Jennifer R., Moore, Christopher, Wald, Lawrence, Dale, Anders, Schmitt, F. (Franz), 1953-, Greve, Doug, Hoge, Rick, Jovicich, Jorge, Mandeville, Joe, Rosen, Bruce Robert, Savage, Cary, Savoy, Robert, Sorensen, A. Gregory, Tuch, David Solomon, 1973-, Vanduffel, Wim, Vangel, Mark Geoffrey, Bush, George

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16.660 / 16.853 / ESD.62J Introduction to Lean Six Sigma Methods, January IAP 2008 by Murman, Earll, McManus, Hugh, Weigel, Annalisa, Haggerty, Allen

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HST.723 Neural Coding and Perception of Sound, Spring 2003 by Delgutte, Bertrand, Brown, Merritt Christian, Guinan, John Joseph, Melcher, Jennifer R., Oxenham, Andrew J., Brown, M. Christian, Melcher, Jennifer R.

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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2004 by Gollub, Randy L., Savoy, Robert, Wald, Lawrence, Banzett, Robert B., Dickerson, Bradford C, Melcher, Jennifer R., Kennedy, David N. (David Nelson), 1962-, Tuch, David Solomon, 1973-, Jovicich, Jorge, Greve, Doug, Mandeville, Joe, Vangel, Mark Geoffrey, Hoge, Rick, Blood, Anne, Hadjikhani, Nouchine, Moore, Christopher, Salat, David, Sigalovsky, Irina S., 1972-, Stufflebeam, Steven M, Zalesky, Martin

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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006 by Gollub, Randy L., Banzett, Robert B., Bolar, Divya S., Buckner, Randy, Dickerson, Bradford, Gabrieli, John D. E., Whitfield-Gabrieli, Susan, Greve, Doug, Hadjikhani, Nouchine, Helmer, Karl, Kanwisher, Nancy, Kennedy, David N. (David Nelson), 1962-, Mandeville, Joe, Manoach, Dara, Melcher, Jennifer R., Moore, Christopher, Napadow, Vitaly, Pujol, Sonia, Rosen, Bruce Robert, Salat, David, Savoy, Robert, Sodickson, Dan, Sorensen, A. Gregory, Triantafyllou, Christina, Vangel, Mark Geoffrey, Wald, Lawrence, Yendiki, Anastasia

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16.412J / 6.834J Cognitive Robotics, Spring 2005 by Williams, Brian Charles

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16.412J / 6.834J Cognitive Robotics, Spring 2004 by Williams, Brian C., Roy, Nicholas

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Resilience and recovery in complex networks by Sy, Gerico Arquiza

“…However, networks that evolve through the preferential attachment mechanism in edge addition and edge swapping yields a network that recovers the fastest in terms of network efficiency or health, and thus, are resilient in this respect.…”
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An assessment of solar power contribution to electric vehicle by Luo, Chuan.

“…The optimized real-time charging scheme will make use of the predicted solar irradiation, expected future EV energy demand and demand-based tariff to design a cheapest real-time charging plan at battery swapping stations. Base on all the steps mentioned above, a comprehensive comparison between the cost of investment on employing Photovoltaic System in swapping stations and the revenue earned by the system will be studied.…”
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