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221

"Fake It Until You Make It": Participation and Positioning of a Bilingual Latina Student in Mathematics and Computing.
Celedón-Pattichis, Sylvia ; Kussainova, Gulnara ; LópezLeiva, Carlos A. ; et al.
Teachers College Record. May2022, Vol. 124 Issue 5, p186-205. 20p.

CLASSROOMS BILINGUAL students MATHEMATICS students PARTICIPATION MATHEMATICAL programming VIDEO blogs …
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222

Heating Control Strategy Based on Dynamic Programming for Building Energy Saving and Emission Reduction.
Qin H ; Yu Z ; Li T ; et al.
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE

Air Conditioning methods Algorithms Hot Temperature Heating methods Ventilation methods
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223

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224

Prediction of Biogas Production Volumes from Household Organic Waste Based on Machine Learning.
Tryhuba, Inna ; Tryhuba, Anatoliy ; Hutsol, Taras ; et al.
Energies (19961073). Apr2024, Vol. 17 Issue 7, p1786. 20p.

BIOGAS production ORGANIC wastes PRODUCTION quantity ORGANIC bases MACHINE learning RANDOM forest algorithms …
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225

COMPUTER SIMULATION FOR STOCHASTIC INVENTORY MANAGEMENT.
Despodov, Bojan ; Anevska, Katerina ; Iliev, Oliver ; et al.
Transport & Logistics. Jun2021, Vol. 21 Issue 50, p16-24. 9p.

INVENTORY control COMPUTER simulation INVENTORY costs GAUSSIAN distribution RANDOM variables PYTHON programming langu... …
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226

Feature-ranked self-growing forest: a tree ensemble based on structure diversity for classification and regression.
Carino-Escobar, Ruben I. ; Alonso-Silverio, Gustavo A. ; Alarcón-Paredes, Antonio ; et al.
Neural Computing & Applications. May2023, Vol. 35 Issue 13, p9285-9298. 14p.

RANDOM forest algorithms REGRESSION trees TREE growth COMPUTATIONAL complexity MACHINE learning PYTHON programming langu...
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228

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229

GeoDa, From the Desktop to an Ecosystem for Exploring Spatial Data.
Anselin, Luc ; Li, Xun ; Koschinsky, Julia
Geographical Analysis. Jul2022, Vol. 54 Issue 3, p439-466. 28p.

CHICAGO (Ill.) LONDON (England) OPEN source products SOFTWARE architecture SOCIOECONOMIC factors INTEGRATED software …
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230

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231

ARLO: A framework for Automated Reinforcement Learning.
Mussi, Marco ; Lombarda, Davide ; Metelli, Alberto Maria ; et al.
Expert Systems with Applications. Aug2023, Vol. 224, pN.PAG-N.PAG. 1p.

REINFORCEMENT learning MACHINE learning FEATURE selection PYTHON programming langu... GROUPWARE (Computer soft... ACQUISITION of data
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232

A scripting language for Digital Content Creation applications
Yousef, Mohammed ; Hashem, Ahmed ; Saad, Hassan ; et al.
ACM SIGGRAPH 2010 Posters. :1-1

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233

Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis.
Zhang, Yanan ; Liu, Renjing ; Heidari, Ali Asghar ; et al.
Neurocomputing. Mar2021, Vol. 430, p185-212. 28p.

BEHAVIORAL assessment PREDICTION models MYXOMYCETES MACHINE learning FINANCIAL aid KERNEL operating systems …
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234

A second-order conic approximation to solving the optimal power flow problem in bipolar DC networks while considering a high penetration of distributed energy resources.
Sepúlveda-García, Simón ; Montoya, Oscar Danilo ; Garcés, Alejandro
International Journal of Electrical Power & Energy Systems. Jan2024:Part A, Vol. 155, pN.PAG-N.PAG. 1p.

ELECTRICAL load CONIC sections POWER resources BATTERY storage plants NONLINEAR programming
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235

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236

short circuits.
KENNEDY, JOHN
Popular Science. Summer2020, Vol. 292 Issue 2, p24-24. 1p. 3 Color Photographs.

SHORT circuits PROGRAMMING languages
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237

auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks.
Freitag, Michael ; Amiriparian, Shahin ; Pugachevskiy, Sergey ; et al.
Journal of Machine Learning Research. 2018, Vol. 18 Issue 154-234, p1-5. 5p.

SUPERVISED learning REPRESENTATION theory ARTIFICIAL neural networ... MATHEMATICAL sequences PYTHON programming langu... TIME series analysis
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238

Java For Dummies
Barry Burd ; Barry Burd

Internet programming Java (Computer program l...
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239

mTAGs: taxonomic profiling using degenerate consensus reference sequences of ribosomal RNA genes.
Salazar, Guillem ; Ruscheweyh, Hans-Joachim ; Hildebrand, Falk ; et al.
Bioinformatics. 1/1/2022, Vol. 38 Issue 1, p270-272. 3p.

RIBOSOMAL RNA PROTEIN-protein interact... METAGENOMICS GENES SOFTWARE development too... BINARY codes
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240

Graal and truffle : modularity and separation of concerns as cornerstones for building a multipurpose runtime
Würthinger, Thomas
Proceedings of the companion publication of the 13th international conference on Modularity. :3-4

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