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141

Intelligent Classification of Surrounding Rock of Tunnel Based on 10 Machine Learning Algorithms.
Zhao, Siguang ; Wang, Mingnian ; Yi, Wenhao ; et al.
Applied Sciences (2076-3417); Mar2022, Vol. 12 Issue 5, p2656, 20p

TUNNELS TUNNEL design & construc... MACHINE learning SUPERVISED learning
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142

Supervised Learning of Natural-Terrain Traversability with Synthetic 3D Laser Scans.
Martínez, Jorge L. ; Morán, Mariano ; Morales, Jesús ; et al.
Applied Sciences (2076-3417); Feb2020, Vol. 10 Issue 3, p1140, 12p

SUPERVISED learning OPTICAL scanners LASERS MOBILE robots SURGICAL robots POINT cloud
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143

Využití umělé inteligence v technické diagnostice
Zuth, Daniel ; Huzlík, Rostislav ; Konečný, Antonín ; et al.

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144

Využití umělé inteligence v technické diagnostice
Zuth, Daniel ; Huzlík, Rostislav ; Konečný, Antonín ; et al.

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145

Využití umělé inteligence v technické diagnostice
Zuth, Daniel ; Huzlík, Rostislav ; Zuth, Daniel ; et al.

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146

Performance Improvement of Decision Tree: A Robust Classifier Using Tabu Search Algorithm.
Hafeez, Muhammad Asfand ; Rashid, Muhammad ; Tariq, Hassan ; et al.
Applied Sciences (2076-3417); Aug2021, Vol. 11 Issue 15, p6728, 17p

DECISION trees TABU search algorithm SUPERVISED learning COVID-19 ALGORITHMS RECEIVER operating chara... …
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147

Využití umělé inteligence v technické diagnostice
Zuth, Daniel ; Huzlík, Rostislav ; Zuth, Daniel ; et al.

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148

Automatic identification of streamlined subglacial bedforms using machine learning: an open‐source Python approach.
Abrahams, Ellianna ; McKenzie, Marion ; Pérez, Fernando ; et al.
Boreas; Oct2025, Vol. 54 Issue 4, p488-505, 18p

MACHINE learning ICE streams ICE sheets OPEN source software GEOMORPHOLOGY PYTHON programming langu... …
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149

Využití umělé inteligence v technické diagnostice
Zuth, Daniel ; Huzlík, Rostislav ; Zuth, Daniel ; et al.

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150

Many-Scale Investigations of the Deformation Behavior of Polycrystalline Composites: I—Machine Learning Applied for Image Segmentation.
Schneider, Yanling ; Prabhu, Vighnesh ; Höss, Kai ; et al.
Materials (1996-1944); Apr2022, Vol. 15 Issue 7, p2486-2486, 20p

IMAGE segmentation DEFORMATIONS (Mechanics) MANUAL labor SUPPORT vector machines PYTHON programming langu... RANDOM forest algorithms …
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151

Využití umělé inteligence v technické diagnostice
Zuth, Daniel ; Huzlík, Rostislav ; Konečný, Antonín ; et al.

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152

Demand forecasting of online retail of fashion apparel using machine learning - A systematic review and a proposed methodology.
Bedi, Twinkle ; Pandit, Anil ; Gautam, Nidhi
AIP Conference Proceedings; 2024, Vol. 3209 Issue 1, p1-9, 9p

ARTIFICIAL intelligence MACHINE learning ELECTRONIC commerce WEB-based user interface... FASHION DEMAND forecasting
Konferenz
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153

Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region.
De Luca, Giandomenico ; M. N. Silva, João ; Di Fazio, Salvatore ; et al.
European Journal of Remote Sensing; Dec2022, Vol. 55 Issue 1, p52-70, 19p

SENTINEL-1 (Artificial s... MACHINE learning PYTHON programming langu... LAND cover GREEN roofs NORMALIZED difference ve... …
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154

Modeling and Optimization with Artificial Intelligence in Nutrition
Vesna Knights ; Mirela Kolak ; Gordana Markovikj ; et al.
Applied Sciences, Vol 13, Iss 13, p 7835 (2023)

obesity weight loss neural networks nutrition health Technology …
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155

Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa.
Yehuala TZ ; Mengesha SB ; Baykemagn ND
Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101776281 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-5059 (Electronic) Linking ISSN: 26735059 NLM ISO Abbreviation: Front Glob Womens Health Subsets: PubMed not MEDLINE

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156

Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia.
Zemariam AB ; Yimer A ; Abebe GK ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Humans Adolescent Female Ethiopia epidemiology Supervised Machine Learn... Software …
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157

Improving Classification Accuracy Using Hybrid Machine Learning Algorithms on Malaria Dataset †.
Jahan, Rashke ; Alam, Shahzad
Engineering Proceedings; 2023, Vol. 56, p232, 9p

MACHINE learning MALARIA COMPUTER-aided design ERYTHROCYTES FEATURE extraction
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158

Automatic identification of streamlined subglacial bedforms using machine learning: an open‐source Python approach
Ellianna Abrahams ; Marion McKenzie ; Fernando Pérez ; et al.
Boreas, Vol 54, Iss 4, Pp 488-505 (2025)

Natural history (General... QH1-278.5
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159

Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model: A cohort study.
Soldera J ; Corso LL ; Rech MM ; et al.
Publisher: Baishideng Publishing Group Country of Publication: United States NLM ID: 101532469 Publication Model: Print Cited Medium: Print ISSN: 1948-5182 (Print) NLM ISO Abbreviation: World J Hepatol Subsets: PubMed not MEDLINE

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160

Regression trees for fast and adaptive prediction intervals.
Cabezas, Luben M.C. ; Otto, Mateus P. ; Izbicki, Rafael ; et al.
Information Sciences. Jan2025, Vol. 686, pN.PAG-N.PAG. 1p.

REGRESSION trees RANDOM forest algorithms PREDICTION models DECISION making CLOVER
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