Literatura científica selecionada sobre o tema "Cell-PCA"
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Artigos de revistas sobre o assunto "Cell-PCA"
HAGHIGHI-NAJAFABADI, NASRIN, SHIMA FAYAZ, GHAZAL HADDAD, MAHBOUBEH BERIZI e PEZHMAN FARD-ESFAHANI. "MicroRNA 138 upregulation is associated with decreasing levels of CCND1 gene expression and promoting cell death in human prostate cancer cell lines". Romanian Biotechnological Letters 27, n.º 6/2022 (23 de abril de 2023): 3768–78. http://dx.doi.org/10.25083/rbl/27.6/3768.3778.
Texto completo da fonteLi, Weijian, Gaohuang Chen, Zhenyu Feng, Baoyi Zhu, Lilin Zhou, Yuying Zhang, Junyan Mai, Chonghe Jiang e Jianwen Zeng. "YTHDF1 promotes the proliferation, migration, and invasion of prostate cancer cells by regulating TRIM44". Genes & Genomics 43, n.º 12 (22 de outubro de 2021): 1413–21. http://dx.doi.org/10.1007/s13258-021-01175-z.
Texto completo da fonteSCHECHTER, NEIL L., NEIL L. FREDERICK, B. BERRIEN e SHOSHANA M. KATZ. "PCA FOR ADOLESCENTS IN SICKLE-CELL CRISIS". AJN, American Journal of Nursing 88, n.º 5 (maio de 1988): 719–24. http://dx.doi.org/10.1097/00000446-198805000-00028.
Texto completo da fonteChen, Zhong-Jun, You-Ji Yan, Hao Shen, Jia-Jie Zhou, Guang-Hua Yang, Yi-Xiang Liao, Jin-Min Zeng e Tao Yang. "miR-192 Is Overexpressed and Promotes Cell Proliferation in Prostate Cancer". Medical Principles and Practice 28, n.º 2 (13 de dezembro de 2018): 124–32. http://dx.doi.org/10.1159/000496206.
Texto completo da fonteFranko, Andras, Lucia Berti, Alke Guirguis, Jörg Hennenlotter, Robert Wagner, Marcus O. Scharpf, Martin Hrabĕ de Angelis et al. "Characterization of Hormone-Dependent Pathways in Six Human Prostate-Cancer Cell Lines: A Gene-Expression Study". Genes 11, n.º 10 (7 de outubro de 2020): 1174. http://dx.doi.org/10.3390/genes11101174.
Texto completo da fonteChien, Ju-Huei, Shan-Chih Lee, Kai-Fu Chang, Xiao-Fan Huang, Yi-Ting Chen e Nu-Man Tsai. "Extract of Pogostemon cablin Possesses Potent Anticancer Activity against Colorectal Cancer Cells In Vitro and In Vivo". Evidence-Based Complementary and Alternative Medicine 2020 (9 de setembro de 2020): 1–11. http://dx.doi.org/10.1155/2020/9758156.
Texto completo da fonteZhang, Cunming, Song Chen, Lide Song, Haibo Ye e Junwei Wang. "Krüppel-like factor 8 promotes aerobic glycolysis in prostate cancer cells by regulating AKT/mTOR signaling pathway". Tropical Journal of Pharmaceutical Research 19, n.º 10 (25 de novembro de 2020): 2091–96. http://dx.doi.org/10.4314/tjpr.v19i10.11.
Texto completo da fontePoluri, Raghavendra T. K., Virginie Paquette, Éric P. Allain, Camille Lafront, Charles Joly-Beauparlant, Cindy Weidmann, Arnaud Droit, Chantal Guillemette, Martin Pelletier e Étienne Audet-Walsh. "KLF5 and NFYA factors as novel regulators of prostate cancer cell metabolism". Endocrine-Related Cancer 28, n.º 4 (abril de 2021): 257–71. http://dx.doi.org/10.1530/erc-20-0504.
Texto completo da fonteWang, Qinghua, Zelin Liu, Guanzhong Zhai, Xi Yu, Shuai Ke, Haoren Shao e Jia Guo. "Overexpression of GATA5 Inhibits Prostate Cancer Progression by Regulating PLAGL2 via the FAK/PI3K/AKT Pathway". Cancers 14, n.º 9 (21 de abril de 2022): 2074. http://dx.doi.org/10.3390/cancers14092074.
Texto completo da fonteShi, Jian, Lian Zhao, Brittany Duncan, Jie Su, Jale Manzo, He Liu e Yuan-Shan Zhu. "Osteoblast-Induced Prostate Cancer Cell Migration and Invasion Is Mediated Through TGF-β1/SMAD2 Signal Pathway and Blocked by 17α-Estradiol". Journal of the Endocrine Society 5, Supplement_1 (1 de maio de 2021): A1029. http://dx.doi.org/10.1210/jendso/bvab048.2105.
Texto completo da fonteTeses / dissertações sobre o assunto "Cell-PCA"
Lee, Montiel Felipe Tadeo. "A Biosensor Approach for the Detection of Active Virus Using FTIR Spectroscopy and Cell Culture". Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/204913.
Texto completo da fonteHajj, Sleiman Nawal. "Approche par nanobody pour capturer les interactomes de complexes protéiques dimériques en contexte cellulaire vivant". Electronic Thesis or Diss., Lyon, École normale supérieure, 2024. http://www.theses.fr/2024ENSL0041.
Texto completo da fonteCell fate and fitness depend on the protein content, and in particular on the interaction networks (also called interactomes) connecting the different proteins. Proteins have the general property to engage in diverse and occasionally overlapping macromolecular assemblies, each serving distinct purposes. Therefore, identifying protein-protein interactions (PPIs) and linking them to complexes is a crucial yet challenging issue in biology. This issue was at the core of my PhD work. The first part of my work was dedicated to the improvement of an existing method for capturing novel PPIs in the context of defined biological functions. This work was established with ERK1, which is a key downstream regulator of several signaling pathways involved in many different cancers. The new tools were tested in the context of two different inhibitory molecules to capture drug-sensitive interactions of ERK1 in human HEK293T cells. One such interaction was confirmed at the functional and molecular levels, by using an original imaging strategy to access the PPI dynamics in live cells. The second part of my PhD work was dedicated to the establishment of a pioneer methodology to capture endogenous PPIs established by a specific dimeric protein complex in human live cells. This methodology couples Bimolecular Fluorescence Complementation (BiFC) and proximity biotin labelling technologies. More specifically, it is based on a GFP-nanobody directed toward the BiFC complex and fused to the TurboID biotin ligase. Tools were established to map TAZ/14-3-3 and TAZ/TEAD complexes interactome, which translate the activity of the Hippo signaling pathway in the cytoplasm and nucleus, respectively. Our approach allowed capturing specific interactomes of the two dimeric protein complexes and identifying a novel key regulator of TAZ/14-3-3 complexes in a cancer cell context. Collectively, my PhD work introduced two complementary methodologies for deciphering PPI networks in the context of specific biological functions or in the context of a specific protein complex in human live cells. These approaches provide a novel dimension for understanding protein functions and the underlying interactomes in normal or pathological cell contexts
Watanabe, Miki. "Development of DNA aptamer as a HMGA inhibitor for cancer therapy and NMR-based metabonomics studies in human/mouse cell lines". Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1322753081.
Texto completo da fonteHolm, Lotta. "The MHC-glycopeptide-T cell interaction in collagen induced arthritis : a study using glycopeptides, isosteres and statistical molecular design in a mouse model for rheumatoid arthritis". Doctoral thesis, Umeå : Department of Chemistry, Umeå University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-899.
Texto completo da fonteMeignie, Alice. "Analyse protéomique des interactions de la protéine C du virus de la rougeole avec l'hôte dans un contexte infectieux". Thesis, Université de Paris (2019-....), 2019. http://www.theses.fr/2019UNIP7094.
Texto completo da fonteViruses manipulate central machineries of host cells to their advantage. They prevent host cell antiviral responses in order to create a favorable environment for their survival and propagation. Measles virus (MV) encodes two non-structural proteins MV-V and MV-C, proposed to counteract the host interferon response and to regulate cell death pathways in various functional assays. Several molecular mechanisms underlining MV-V regulation of innate immunity and cell death responses have been proposed, whereas MV-C host protein partners are less studied. We suggest that some cellular factors that are controlled by MV-C protein during viral replication could be components of innate immunity and the cell death pathways. In order to determine which host factors are targeted by MV-C, we captured both direct and indirect host protein partners of MV-C protein. For this we used a strategy based on recombinant viruses expressing tagged viral proteins followed by affinity purification and a bottom-up mass spectrometry analysis. A list of host proteins specifically interacting with MV-C protein in different cell lines was identified. Then we have selected proteins that belong to immunity and cell death biological pathways. Direct protein partners of MV-C were determined by applying protein complementation assay (PCA) and the bioluminescence resonance energy transfer (BRET) approach. As a result, we found that MV-C protein specifically interacts p65/iASPP/p53 protein complex that controls both death and innate immunity pathways
Magidi, James Takawira. "Spatio-temporal dynamics in land use and habit fragmentation in Sandveld, South Africa". Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7886_1297841126.
Texto completo da fonteThis research assessed landuse changes and trends in vegetation cover in the Sandveld, using remote sensing images. Landsat TM satellite images of 1990, 2004 and 2007 were classified using the maximum likelihood classifier into seven landuse classes, namely water, agriculture, fire patches, natural vegetation, wetlands, disturbed veld, and open sands. Change detection using remote sensing algorithms and landscape metrics was performed on these multi-temporal landuse maps using the Land Change Modeller and Patch Analyst respectively. Markov stochastic modelling techniques were used to predict future scenarios in landuse change based on the classified images and their transitional probabilities. MODIS NDVI multi-temporal datasets with a 16day temporal resolution were used to assess seasonal and annual trends in vegetation cover using time series analysis (PCA and time profiling).Results indicated that natural vegetation decreased from 46% to 31% of the total landscape between 1990 and 2007 and these biodiversity losses were attributed to an increasing agriculture footprint. Predicted future scenario based on transitional probabilities revealed a continual loss in natural habitat and increase in the agricultural footprint. Time series analysis results (principal components and temporal profiles) suggested that the landscape has a high degree of overall dynamic change with pronounced inter and intra-annual changes and there was an overall increase in greenness associated with increase in agricultural activity. The study concluded that without future conservation interventions natural habitats would continue to disappear, a condition that will impact heavily on biodiversity and significant waterdependent ecosystems such as wetlands. This has significant implications for the long-term provision of water from ground water reserves and for the overall sustainability of current agricultural practices.
Pow, Andrew James. "Protein complementation assay as a display system for screening protein libraries in the intracellular environment". Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/30392/1/Andrew_Pow_Thesis.pdf.
Texto completo da fontePow, Andrew James. "Protein complementation assay as a display system for screening protein libraries in the intracellular environment". Queensland University of Technology, 2008. http://eprints.qut.edu.au/30392/.
Texto completo da fonteAndersson, David. "Multivariate design of molecular docking experiments : An investigation of protein-ligand interactions". Doctoral thesis, Umeå universitet, Kemiska institutionen, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-35736.
Texto completo da fonteBUSA', ROBERTA. "Role of the RNA-binding protein Sam68 in prostate cancer cell survival and proliferation". Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/908.
Texto completo da fonteProstate carcinoma (PCa) is one of the main causes of death in the western male population. Although initially controlled by anti-androgenic therapies, PCa often evolves to become androgen-insensitive and highly metastatic. A predominant role in the development of androgen-refractoriness is played by the upregulation of signal transduction pathways that allow prostate cancer cells to autonomously produce their own requirements of growth factors and nutrients (Grossmann et al., 2001). The tyrosine kinase Src is frequently activated in advanced human prostate carcinomas and in our laboratory we have observed that its activation correlates with tyrosine phosphorylation of the RNA-binding protein Sam68 (Paronetto et al., 2004), belonging to the STAR family (Signal transduction and RNA metabolism) and involved in RNA metabolism. In the first part of this PhD Thesis, we have investigated the expression and function of Sam68 in human prostate cancer cells. We observed that Sam68 is up-regulated both at protein and mRNA levels in patients affected by PCa. Moreover, it was observed that down-regulation of Sam68 by RNAi in LNCaP prostate cancer cells delayed cell cycle progression, reduced the proliferation rate and sensitized cells to apoptosis induced by DNA-damaging agents. Microarray analyses revealed that a subset of genes involved in proliferation and apoptosis were altered when Sam68 was knocked down in LNCaP cells. Finally, stable cell lines expressing a truncated GFP-Sam68GSG protein, that interacts with endogenous Sam68 affecting its activity, displayed reduced growth rates and higher sensitivity to cisplatin-induced apoptosis, resembling down-regulation of Sam68 by RNAi. Together, these results indicate that Sam68 expression supports prostate cancer cells proliferation and survival to cytotoxic agents (Busà et al., 2007). Stemming from this evidence, we then aimed to investigate the role played by Sam68 in the response to genotoxic drugs such as mitoxantrone (MTX), a topoisomerase II inhibitor.We observed that MTX caused a subcellular re-localization of Sam68 from nucleoplasm to nuclear granules. Co-staining experiments indicated that Sam68-positive nuclear granules are sites of accumulation of several RNA-binding proteins involved in alternative splicing, such as SR proteins like SC35 and ASF/SF2, and TIA-1 and hnRNP A1, involved in cellular stress responses to various stimuli (Guil et al., 2006). Sam68 also accumulated in cytoplasmic granules that were also co-stained with hnRNP A1 and TIA-1, suggesting that these structures are the well described cytoplasmic stress granules (SGs). These data strongly suggest that Sam68 is part of a RNA-mediated stress response of the cell. Thus, we have begun to investigate whether changes in subcellular localization of Sam68 induced by genotoxic drugs affect alternative splicing of Sam68 target mRNAs, such as CD44 (Matter et al., 2002). Preliminary experiments have shown that MTX treatment in PC3 cells induces changes in alternative splicing of CD44 pre-mRNA. In particular, inclusion of variable exons v5 and v6, known to be regulated by Sam68 (Matter et al., 2002; Cheng and Sharp, 2006), was stimulated. We are current extending these studies to determine whether downregulation of Sam68 by RNAi affects these modifications of CD44 alternative splicing caused by MTX Since Sam68 is known to link signal transduction pathways to RNA metabolism (Lukong and Richard, 2003), we asked whether changes in Sam68 subcellular localization induced by MTX are determined by activation of specific signal transduction pathways. Our data show that although MTX triggers activation of DNA damage pathway, through ATM kinase, and stress-induced MAPKs p38 and JNK1/2 pathways, specific inhibition of these pathways did not affect the subcellular relocalization of Sam68. Thus, it is possible that direct changes in the chromatin structure or function trigger the observed accumulation of Sam68 and splicing factors in nuclear granules. Finally, a set of observations performed during our studies implicate Sam68 in nucleolar functions. In a co-immunoprecipitation experiment aimed at the identification of Sam68-interacting proteins in LNCaP cells we found Nucleolin, a nucleolar protein involved in rRNA metabolism (Rickards et al., 2007). This interaction has been confirmed and mapped to the carboxyterminal region of Sam68 by in vitro studies. Moreover, a RNA-protein co-immunoprecipitation experiment revealed that Sam68 binds 18S rRNA These observations lead us to investigate whether Sam68 plays a role in rRNA metabolism. First, we observed by FISH analysis, and then confermed by real time PCR, that downregulation of Sam68 caused a significant increase in the levels of pre-rRNA compared with control siRNA treated cells. Moreover, ChIP assays aimed at determining the site of the association of Sam68 with rDNA in PC3 cells revealed that Sam68 binds the 18S rRNA coding region. Thus, the results presented herein strongly suggest a novel role of Sam68 in the regulation of pre-rRNA maturation. Our current studies are aimed at investigating this hypothesis further. References: Busà R, Paronetto MP, Farini D, Pierantozzi E, Botti F, Angelini DF, Attisani F, Vespasiani G, Sette C., Oncogene 2007 26(30):4372-82. Cheng C, Sharp PA. (2006). Regulation of CD44 alternative splicing by SRm160 and its potential role in tumor cell invasion. Mol Cell Biol. 26(1):362-70. Grossmann ME, Tindall DJ (2001). Androgen receptor signaling in androgen-refractory prostate cancer. J Natl Cancer Inst. 93:1687-97; Guil S, Long JC, Cáceres JF. (2006). hnRNP A1 relocalization to the stress granules reflects a role in the stress response. Mol Cell Biol. 26(15):5744-58. Lukong KE, Richard S (2003). Sam68, the KH domain-containing superSTAR. Bioch. Biophys. Acta 1653: 73-86. Matter N, Herrlich P, Konig H (2002). Signal-dependent regulation of splicing via phosphorylation of Sam68. Nature 420:691-695. Paronetto MP, Farini D, Sammarco I, Maturo G, Vespasiani G, Geremia R et al (2004). Expression of a truncated form of the c-Kit tyrosine kinase receptor and activation of Src kinase in human prostatic cancer. Am. J. Path. 164:1243-1251; Rickards B, Flint SJ, Cole MD, LeRoy G. (2007). Nucleolin is required for RNA polymerase I transcription in vivo. Mol Cell Biol. 27(3):937-48.
Capítulos de livros sobre o assunto "Cell-PCA"
Arikan, Ozgur, e Ilkin Hamid-Zada. "Immunotherapy for Prostate Cancer". In Current Management of Metastatic Prostate Cancer, 131–39. Istanbul: Nobel Tip Kitabevleri, 2024. http://dx.doi.org/10.69860/nobel.9786053359142.13.
Texto completo da fonteThakur, Mathew L. "Can VPAC-Targeted Cu-67-TP3805 Play a Theranostic Role for Prostate Cancer?: A Quest". In Beyond Becquerel and Biology to Precision Radiomolecular Oncology: Festschrift in Honor of Richard P. Baum, 321–30. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-33533-4_32.
Texto completo da fonteGan, Lan, Chunmei He, Lijuan Xie e Wenya Lv. "Tumor Cell Image Recognition Based on PCA and Two-Level SOFM". In Advances in Intelligent Systems and Computing, 299–306. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01796-9_32.
Texto completo da fonteWang, Tai-Ge, Xiang-Zhen Kong, Sheng-Jun Li e Juan Wang. "CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-Cell Type Identification". In Bioinformatics Research and Applications, 541–51. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7074-2_44.
Texto completo da fonteLandman, Kerry A., e Donald F. Newgreen. "PCA Modelling of Multi-species Cell Clusters: Ganglion Development in the Gastrointestinal Nervous System". In Emergence, Complexity and Computation, 261–77. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-65558-1_17.
Texto completo da fonteLi, Guoliang, e Zhenbang Chen. "Challenges of targeting tumor microenvironment in prostate cancer". In New Updates in Tumor Microenvironment [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1005744.
Texto completo da fonteMcGrowder, Donovan, Lennox Anderson-Jackson, Lowell Dilworth, Shada Mohansingh, Melisa Anderson Cross, Sophia Bryan, Fabian Miller et al. "The Clinical Usefulness of Prostate Cancer Biomarkers: Current and Future Directions". In Biomedical Engineering. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.103172.
Texto completo da fonteZhu, Sijia. "Single Cell Sequencing Analysis for Blood Tissue". In Studies in Health Technology and Informatics. IOS Press, 2023. http://dx.doi.org/10.3233/shti230872.
Texto completo da fonteLocia Espinoza, José, e Luz Irene Pascual Mathey. "Permissive Role of Estrogens in Prostate Diseases". In Estrogens - Recent Advances [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.107666.
Texto completo da fonteAllison, M. J., e A. P. Maule. "Monitoring biochemical change in malting by use of reconstructed NIR spectra". In European brewery convention, 133–38. Oxford University PressOxford, 1991. http://dx.doi.org/10.1093/oso/9780199632831.003.0015.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Cell-PCA"
Wan, Min-jie. "PCA-HOG symmetrical feature based diseased cell detection". In SPIE BiOS, editado por Daniel L. Farkas, Dan V. Nicolau e Robert C. Leif. SPIE, 2016. http://dx.doi.org/10.1117/12.2209262.
Texto completo da fonteGamba, G., L. Dezza, N. Montani, G. Gangale, G. Gangale e E. Ascari. "EFFECT OF INTERFERON GAMMA ON PROCOAGULANT ACTIVITY FROM HUMAN PROMYELOCYTIC CELL LINE (HL 60)". In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643662.
Texto completo da fonteBarrowcliffe, T. W., D. A. Marshall, L. P. Trickett, A. R. Hubbard e R. Thorpe. "PRQOOAGULANT ACTIVITY OF HUMAN T LYMPHOCYTES IN INTRINSIC AND EXTRINSIC SYSTEMS". In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643156.
Texto completo da fonteEsumi, N., S. Todo e S. Imashuku. "INTERACTION BETWEEN HEMOSTATIC COMPONENTS AND TUMOR CELLS". In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643202.
Texto completo da fonteSchaub, R. G., C. J. Dunn, D. E. Tracey, W. E. Fleming e M. D. Burdick. "THROMBOTIC AND INFLAMMATORY CHANGES IN ENDOTHELIAL CELLS INCUBATED WITH LEUKOCYTES". In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1642860.
Texto completo da fonteLiu, Ling-Yun, Hong-Guang Yang e Bin Cheng. "Prediction of Linear B-cell Epitopes Based on PCA and RNN Network". In 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB). IEEE, 2019. http://dx.doi.org/10.1109/icbcb.2019.8854655.
Texto completo da fonteGottsch, Fabian, Noboru Osawa, Takeo Ohseki, Kosuke Yamazaki e Giuseppe Caire. "Robust PCA for Subspace Estimation in User-Centric Cell-Free Wireless Networks". In 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC). IEEE, 2022. http://dx.doi.org/10.1109/spawc51304.2022.9833945.
Texto completo da fonteSemeraro, N., A. Errori, B. Casali, M. B. Dontati e A. Mantovani. "DEFECTIVE GENERATION OF PROCOAGULANT ACTIVITY BY TUMOR-ASSOCIATED MACROPHAGES EXPOSED TO DIFFERENT STIMULI". In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643665.
Texto completo da fonteZhang, Yiming, Changqing Du e Tongyu Pan. "A method for automotive fuel cell fault diagnosis based on PCA-APSO-SVM". In International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023), editado por Kannimuthu Subramaniam e Sandeep Saxena. SPIE, 2023. http://dx.doi.org/10.1117/12.2679089.
Texto completo da fonteDeng, Hongli, Dalin Jiang e Yanfeng Wei. "Parking cell detection of multiple video features with PCA-and- Bayes-based classifier". In 2006 IEEE International Conference on Information Acquisition. IEEE, 2006. http://dx.doi.org/10.1109/icia.2006.305804.
Texto completo da fonte