How to Prevent Drivers before Their Sleepiness Using Deep Learning-Based Approach by Belhassen Akrout, Sana Fakhfakh

“…In fact, our experimentation begins with the hyperparameter preselection to improve our results.…”
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EXTRACTION OF BUILDING ROOF EDGES FROM LIDAR DATA TO OPTIMIZE THE DIGITAL SURFACE MODEL FOR TRUE ORTHOPHOTO GENERATION by E. Widyaningrum, E. Widyaningrum, R. C. Lindenbergh, B. G. H. Gorte, K. Zhou

“…First, RanSAC corner point preselection, and second, DBSCAN-based clustering of edge points. …”
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Performance of epigenetic markers SEPT9 and ALX4 in plasma for detection of colorectal precancerous lesions. by Marc Tänzer, Benjamin Balluff, Jürgen Distler, Kari Hale, Andreas Leodolter, Christoph Röcken, Bela Molnar, Roland Schmid, Catherine Lofton-Day, Tibor Schuster, Matthias P A Ebert

“…Developing new, more acceptable non-invasive tests for the detection of cancerous and precancerous colorectal lesions would not only allow preselection of individuals for colonoscopy, but may also prevent cancer by removal of precancerous lesions. …”
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Distributed Active Learning by Pengcheng Shen, Chunguang Li, Zhaoyang Zhang

“…Due to the introducing of a randomized preselection method in the strategy, we can achieve diversity of the selected data without any information exchange among nodes. …”
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A Refined Single Cell Landscape of Haematopoiesis in the Mouse Foetal Liver by Elena Ceccacci, Emanuela Villa, Fabio Santoro, Saverio Minucci, Christiana Ruhrberg, Alessandro Fantin

“…To obtain a refined single cell landscape of haematopoiesis in the foetal liver, we have generated a scRNA-seq dataset from a whole mouse E12.5 liver that includes a larger number of cells than prior datasets at this stage and was obtained without cell type preselection to include all liver cell populations. We combined mining of this dataset with that of previously published datasets at other developmental stages to follow transcriptional dynamics as well as the cell cycle state of developing haematopoietic lineages. …”
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Adaptive ecological baseflow computation based on the ecological requirements: a case study in Weihe Basin, China by Dandan Liu, Jiancang Xie, Xue Yang, Na Wei, Shuang Gao, Zijie Yang

“…The analysis shows that the method has reliability and operability, which can provide support for management decisions. HIGHLIGHTS Preselection of methods is positively helpful to the results’ reliability.; Applying multi-method approach in flow processes is more convincing than single ones.; The proposed correction can improve the simulation more close to practical requires…”
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Identification of Partial Shading Conditions for Photovoltaic Strings by Ziqiang Bi, Jieming Ma, Kangshi Wang, Ka Lok Man, Jeremy S. Smith, Yong Yue

“…The proposed modified method involves a preselection process of updating the Tabu list to optimize the searching efficiency. …”
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Optimal switching sequence model predictive control for three‐level NPC grid‐connected inverters by Jianguo Lyu, Han Yan, Jinyong Ding, Qiuwei Wu, Xun Lyu, Zhuang Sun

“…Furthermore, according to different voltage vector sectors, a voltage vector sequence preselection principle is introduced in this paper, besides, considering redundant small vectors in a pair have opposite affections on the neutral point voltage, the amount of voltage vector sequence that needs to be verified is further cut down, for obtaining the optimal voltage vector sequence. …”
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Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior by Iris IA Groen, Michelle R Greene, Christopher Baldassano, Li Fei-Fei, Diane M Beck, Chris I Baker

“…Here, we assessed the contributions of multiple properties to scene representation by partitioning the variance explained in human behavioral and brain measurements by three feature models whose inter-correlations were minimized a priori through stimulus preselection. Behavioral assessments of scene similarity reflected unique contributions from a functional feature model indicating potential actions in scenes as well as high-level visual features from a deep neural network (DNN). …”
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Associations between Dairy Herds’ Qualitative Behavior and Aspects of Herd Health, Stockperson and Farm Factors—A Cross-Sectional Exploration by Asja Ebinghaus, Katharina Matull, Ute Knierim, Silvia Ivemeyer

“…A multivariable regression was calculated following a univariable preselection of factors. No associations were found between MR indicators and QBAscores. …”
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Risk of tuberculosis transmission by healthcare workers to children – a comprehensive review by Diel, Roland, Nienhaus, Albert

“…In only two of the studies, the contact time of the children towards the corresponding source case was estimated.Conclusions: The results of our review suggest that the risk of Mtbc transmission from HCW to children in healthcare setting is considerably lower than reported in household settings. However, as the preselection of pediatric contacts appeared in most cases to be vague, the data found in the literature probably underestimates the actual risk…”
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Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data by Romagnoni, A, Jégou, S, Van Steen, K, Wainrib, G, Hugot, J, International Inflammatory Bowel Disease Genetics Consortium (Iibdgc)

“…At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. …”

Weighted kernel regression in solving small sample problems for regression framework and its variants by Shapiai @ Abd. Razak, Mohd. Ibrahim

“…Incorporation of prior knowledge is a plausible technique to improve the quality of the regression for data-driven techniques but this technique is based on preselection of coefficients in solving the problem, thus ignoring the consequence of the selection. …”
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Parsimonious statistical learning models for low-flow estimation by J. Laimighofer, M. Melcher, G. Laaha

“…The use of variable preselection can significantly reduce the complexity of all the models with only a small loss of performance. …”
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Monitoring of total contents of copper in organically and conventionally managed soils. Part 1: Study plan and …preliminary sampling of copper and other anthropogenic …induced heav... by Frank Riepert, Anna Steindl, Rudolf Eibach, Michael Maixner, Christoph Reichmuth, Jörn Strassemeyer, Thomas Strumpf

“…Obtained findings will serve for further method development, for preselection of adequate monitoring areas and for first indications of hazard potential. …”
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Simulation of Anti Wear Performance Using a Modified Brugger Test Set Up by J. Sequard-Base, A. Grafl, U. Cihak-Bayr, F. Franek

“…By using the new method it was possible to get a pre selection between pass and fail oils according to the wear properties without the necessity of performing an elaborated pump test. The preselection of hydraulic oils according to their anti-wear properties offers a huge cost saving potential for hydraulic oil developments.…”
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Identification of Ancestry Informative Marker (AIM) Panels to Assess Hybridisation between Feral and Domestic Sheep by Elisa Somenzi, Paolo Ajmone-Marsan, Mario Barbato

“…We applied a two-step selection algorithm to this data consisting of preselection via Principal Component Analysis followed by a supervised machine learning classification method based on random forest to develop SNP panels of various sizes. …”
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2166 by Jianyin Shao, Ram Gouripeddi, Julio C. Facelli

“…While automatic patient matching is not the panacea for improving clinical trial recruitment, better low cost computational preselection processes can allow the limited human resources assigned to patient recruitment to be redirected to the most promising targets for recruitment.…”
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Adhesive Solutions for Cast Glass Assemblies: Ground Rules Emerging from Built Case Studies on Adhesive Selection and Experimental Validation by Faidra Oikonomopoulou, Telesilla Bristogianni

“…Since the choice of adhesive is highly dependent on the prerequisites set for each case-study -such as the structural and visual performance, available budget, the structure’s geometry and climate conditions- the preselection of the most prominent adhesive family at an early project stage can prevent an excessive budget and construction complications. …”
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Modulation of Mind Wandering Using Monaural Beat Stimulation in Subjects With High Trait-Level Mind Wandering by Leila Chaieb, Sofie Krakau, Thomas P. Reber, Thomas P. Reber, Juergen Fell

“…Considering possible reasons for this outcome, our data suggest that the preselection procedure was suboptimal and that beat effects are modulated by the individual responses to auditory stimulation in general.…”
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