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1Academic Journal
المؤلفون: Henrique Barbosa, Gabriel Zarzana Espinoza, Maiara Amaral, Erica Valadares de Castro Levatti, Mariana Babberg Abiuzi, Gabriel Correa Veríssimo, Philipe de Oliveira Fernandes, Vinícius Gonçalves Maltarollo, Andre Gustavo Tempone, Kathia Maria Honorio, João Henrique Ghilardi Lago
مصطلحات موضوعية: Medicine, Plant Biology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, using random forest, using machine learning, spectral data analysis, machine learning techniques, exhibits limited options, >, showing ic, promising hit compound, new hit compound, cymbopogon schoenanthus <, trypanosoma cruzi <, isolated compound exhibited, 50 , hit compound, cruzi <, silico <, virtual screening, two models, selectivity index, reduced cytotoxicity, prototypes based, nearest neighbors, natural products, mammalian cells
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2Academic Journal
المؤلفون: Jagger Alexander (5675645), André Barretto Bruno Wilke (3072300), Alejandro Mantero (2827286), Chalmers Vasquez (2994222), William Petrie (6107789), Naresh Kumar (740541), John C. Beier (8275299)
مصطلحات موضوعية: Cell Biology, Ecology, Cancer, Science Policy, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, using random forest, using machine learning, understand microgeographic determinants, machine learning method, div >< p, collection weather conditions, vector control experts, turn influence vector, weekly mosquito data, borne disease diffusion, aedes aegypti <, 2016 zika outbreak, borne disease, aegypti <, meteorological conditions, limited data, 2016 outbreak, ae <, zika vector, primary vector, guide vector, zika virus, underlying processes, unaffected areas
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3Academic Journal
المؤلفون: Ming Ding (178860), Shi-yu Pan (11890712), Jing Huang (41604), Cheng Yuan (160315), Qiang Zhang (45005), Xiao-li Zhu (11890715), Yan Cai (298695)
مصطلحات موضوعية: Medicine, Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, using random forest, underwent chest ct, trained using 70, present different properties, potentially powerful way, optical coherence tomography, machine learning algorithm, analyzing quantitative features, 41 %, 29 image features, malignant pulmonary nodules, oct images could, pulmonary nodules, malignant samples, malignant eb, zhongda hospital,
%22">xlink ">, vivo <, training set, testing set, southeast university, respiratory medicine Time: 77
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4Academic Journal
المؤلفون: Ming Ding (178860), Shi-yu Pan (11890712), Jing Huang (41604), Cheng Yuan (160315), Qiang Zhang (45005), Xiao-li Zhu (11890715), Yan Cai (298695)
مصطلحات موضوعية: Medicine, Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, using random forest, underwent chest ct, trained using 70, present different properties, potentially powerful way, optical coherence tomography, machine learning algorithm, analyzing quantitative features, 41 %, 29 image features, malignant pulmonary nodules, oct images could, pulmonary nodules, malignant samples, malignant eb, zhongda hospital,
%22">xlink ">, vivo <, training set, testing set, southeast university, respiratory medicine Time: 77
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5Academic Journal
المؤلفون: Ming Ding (178860), Shi-yu Pan (11890712), Jing Huang (41604), Cheng Yuan (160315), Qiang Zhang (45005), Xiao-li Zhu (11890715), Yan Cai (298695)
مصطلحات موضوعية: Medicine, Cell Biology, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, using random forest, underwent chest ct, trained using 70, present different properties, potentially powerful way, optical coherence tomography, machine learning algorithm, analyzing quantitative features, 41 %, 29 image features, malignant pulmonary nodules, oct images could, pulmonary nodules, malignant samples, malignant eb, zhongda hospital,
%22">xlink ">, vivo <, training set, testing set, southeast university, respiratory medicine Time: 77
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6Academic Journal
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs &# 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
7Academic Journal
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs &# 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
8Academic Journal
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs &# 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
9Academic Journal
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs &# 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
10Academic Journal
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs &# 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
11Academic Journal
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs &# 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
12Academic Journal
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs &# 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
13Academic Journal
المؤلفون: Kelly Yi Ping Liu (6038732), Sarah Yuqi Zhu (11648417), Alan Harrison (11648420), Zhao Yang Chen (11648423), Martial Guillaud (44485), Catherine F. Poh (3044727)
مصطلحات موضوعية: Cell Biology, Genetics, Molecular Biology, Biotechnology, Developmental Biology, Cancer, Mathematical Sciences not elsewhere classified, using random forest, two consecutive sections, significant prognostic factor, routine pathology tissue, quantitative nuclear phenotype, measuring nuclear morphology, model achieved 100, level model based, based model using, poorly differentiated tumors, nrs &# 8805, 35 patients diagnosed, 14 g2 tumors,
+early%22">xlink "> early, test set patients, differentiated tumors, %22">xlink ">, predictive model, 35 patients, test set, test sets, validated biomarkers, unprecedented opportunity -
14Academic Journal
المؤلفون: Santosh S. Sutar (11608432), Suvarna M. Patil (11608435), Sunil J. Kadam (11608438), Rajanish K. Kamat (4919062), Deok-kee Kim (1444282), Tukaram D. Dongale (4919056)
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, shrinking manufacturing windows, popular photoactive material, decision tree algorithm, also employed supervised, hydrothermally synthesized zno, hydrothermally grown zno, sensitized solar cells, hydrothermally synthesized dsscs, designing efficient dsscs, using random forest, different synthesis parameters, applying statistical analysis, learning techniques dye, cost solar cells, solar cells, random forest, zno dsscs, evaluate zno, based dye, learning technique, learning algorithms, significant insights, said period, said know, results substantiate, regression trees, recommend extending
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15Academic Journal
المؤلفون: Priya Varshini A G, Anitha Kumari K, Vijayakumar Varadarajan
المصدر: Electronics; Volume 10; Issue 10; Pages: 1195
مصطلحات موضوعية: machine learning, deep learning, software effort estimation, ensemble techniques, stacked using random forest
وصف الملف: application/pdf
Relation: Artificial Intelligence; https://dx.doi.org/10.3390/electronics10101195
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16Academic JournalPrediction of Netizen Tweets Using Random Forest, Decision Tree, Naïve Bayes, and Ensemble Algorithm
المؤلفون: Rianto, Yan, Kuntoro, Antonius Yadi
المصدر: Sinkron : jurnal dan penelitian teknik informatika; Vol. 5 No. 1 (2020): Article Research, October 2020; 58-71 ; 2541-2019 ; 2541-044X ; 10.33395/sinkron.v5i1
مصطلحات موضوعية: Decision Tree, Naïve Bayes, Random Forest, Set, Twitter, Tweet Netizen Prediction Using Random Forest, And Ensemble Algorithm (Case Study The Governor Of DKI Jakarta)
وصف الملف: application/pdf
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17Academic Journal
المؤلفون: Davis, Sachin
المصدر: Theses and Dissertations
مصطلحات موضوعية: Biofilm sensor, Biofilms in piping systems, Classification of deposits using machine learning, Classification of deposits using random forest, Detection of biofilm, Novel sensor for detection of biofilm, Business Administration, Management, and Operations, Computer Sciences, Electrical and Electronics
وصف الملف: application/pdf
Relation: https://dc.uwm.edu/etd/3252; https://dc.uwm.edu/context/etd/article/4257/viewcontent/Davis_uwm_0263D_13591.pdf
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18Dissertation/ Thesis
المؤلفون: kurian pullolickal, priya
مصطلحات موضوعية: Electrocardiogram (ECG) measures the electrical impulses of the heart. The time inter- val between two successive R peaks measured in millisecond using an ECG is called as an RR-interval. The distribution of the RR-intervals as well as classification of cardiovascu- lar age of healthy people from RR-interval was done in this thesis. For that, the data was preprocessed and time series plots were analyzed from sample dataset. The RR-intervals were then aligned to have the same start time using functions written and then an aver- age RR-interval series for each decade was created. The coefficient of variation was very less for this averaged dataset which concluded that averaging the RR-interval was a good approach. The averaged dataset per age decade as well agreed to the conclusion of the sample data set that the heart rate variability decreases with increasing age. Three clusters of age decade were also visible in the averaged dataset. The kurtosis, skew, mean, me- dian, histograms and Q-Q Plot were calculated for the sample as well as averaged dataset to find the distribution. The values all concluded that the RR-intervals follow Gaussian distribution or mixture of Gaussian distribution. The Poincaré plots showed that the dis- tribution of RR-interval is comet shaped for healthy individuals. The features were ex- tracted from the distribution as well as from the distribution of Discrete Fourier Transform (DFT) for classifying the age group from RR-intervals. Svitzky-Golay filtering was done to smooth the signal before taking the features from DFT. Random Forest and Support Vector Machine was the machine learning algorithms used to classify the age decade. Later the results were compared using a dataset from physionet that had RR-intervals of individuals suffering from myocardial infraction. The age classification using Random Forest and Sup- port Vector Machine concluded that the Gdańsk dataset using Random Forest Algorithm and three classes gave the highest test accuracy of 59% for the dataset., Engineering and Technology, Teknik och teknologier
وصف الملف: application/pdf
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19Image
المؤلفون: Jagger Alexander (5675645), André Barretto Bruno Wilke (3072300), Alejandro Mantero (2827286), Chalmers Vasquez (2994222), William Petrie (6107789), Naresh Kumar (740541), John C. Beier (8275299)
مصطلحات موضوعية: Cell Biology, Ecology, Cancer, Science Policy, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, using random forest, using machine learning, understand microgeographic determinants, machine learning method, div >< p, collection weather conditions, vector control experts, turn influence vector, weekly mosquito data, borne disease diffusion, aedes aegypti <, 2016 zika outbreak, borne disease, aegypti <, meteorological conditions, limited data, 2016 outbreak, ae <, zika vector, primary vector, guide vector, zika virus, underlying processes, unaffected areas
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20Image
المؤلفون: Jagger Alexander (5675645), André Barretto Bruno Wilke (3072300), Alejandro Mantero (2827286), Chalmers Vasquez (2994222), William Petrie (6107789), Naresh Kumar (740541), John C. Beier (8275299)
مصطلحات موضوعية: Cell Biology, Ecology, Cancer, Science Policy, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, using random forest, using machine learning, understand microgeographic determinants, machine learning method, div >< p, collection weather conditions, vector control experts, turn influence vector, weekly mosquito data, borne disease diffusion, aedes aegypti <, 2016 zika outbreak, borne disease, aegypti <, meteorological conditions, limited data, 2016 outbreak, ae <, zika vector, primary vector, guide vector, zika virus, underlying processes, unaffected areas