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241

Applying AI Weather Models with NVIDIA Earth-2
Kudlay, Vadim ; Lee, Kevin
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Labs. :1-4

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242

Constrained Decoding for Fill-in-the-Middle Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars
Melcer, Daniel ; Fulton, Nathan ; Gouda, Sanjay Krishna ; et al.

Computer Science - Progr... Computer Science - Machi... Computer Science - Softw...
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243

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244

A smart injection optimization for CO₂ sequestration: ensuring storage integrity through adaptive control and real-time monitoring.
Alsubaih, Ahmed Ali Shanshool ; Sepehrnoori, Kamy ; Delshad, Mojdeh
International Journal of Greenhouse Gas Control. Jan2026, Vol. 149, pN.PAG-N.PAG. 1p.

Carbon sequestration Reinforcement learning Genetic algorithms Leakage Real-time computing Adaptive control systems
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245

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246

A Novel Internet of Things Architecture for Improving Fire Safety in High-rise Buildings
Bezenjani, Mohsen
2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI) SMARTWORLD-SCALCOM-UIC-ATC-IOP-SCI SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI), 2021 IEEE. :527-531 Oct, 2021

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247

Comparative analysis of machine learning algorithms based on an air pollution prediction model.
Wiktorzak, Aneta ; Kaczorowski, Bartosz
TASK Quarterly; 2022, Vol. 26 Issue 4, p1-10, 10p

COMPARATIVE studies MACHINE learning AIR pollution ARTIFICIAL intelligence PROGRAMMING languages
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248

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249

Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results
Sirola, Miki ; Rinta-Koski, Olli-Pekka ; Nguyen, Le Ngu ; et al.
2022 IEEE International Conference on Smart Computing (SMARTCOMP) SMARTCOMP Smart Computing (SMARTCOMP), 2022 IEEE International Conference on. :257-262 Jun, 2022

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250

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251

MLLPA: A Machine Learning‐assisted Python module to study phase‐specific events in lipid membranes
Walter, Vivien ; Ruscher, Céline ; Benzerara, Olivier ; et al.
Journal of Computational Chemistry ; volume 42, issue 13, page 930-943 ; ISSN 0192-8651 1096-987X

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252

Reaction Mechanism Generator v3.0: Advances in Automatic Mechanism Generation.
Liu M ; Grinberg Dana A ; Johnson MS ; et al.
Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE

Kinetics Machine Learning Cheminformatics Software
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253

Python 3 and Feature Engineering
Campesato, Oswald ; Campesato, Oswald

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254

To Control Diabetes Using Machine Learning Algorithm and Calorie Measurement Technique.
Viveka, T. ; Columbus, C. Christopher ; Velmurugan, N. Senthil
Intelligent Automation & Soft Computing; 2022, Vol. 33 Issue 1, p535-547, 13p

MACHINE learning CALORIC content of foods MEALS BLOOD sugar DEEP learning K-nearest neighbor class... …
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255

Automated cell type discovery and classification through knowledge transfer.
Lee HC ; Kosoy R ; Becker CE ; et al.
Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Animals Cluster Analysis Humans Leukocytes classificatio... Reproducibility of Resul... Biomarkers analysis …
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256

Mapping Python Programs to Vectors Using Recursive Neural Encodings
Paassen, Benjamin ; McBroom, Jessica ; Jeffries, Bryn ; et al.
35

Data Analysis Programming Languages Networks Novices Prediction Decision Making …
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257

An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions
Lin, Fudong ; Guillot, Kaleb ; Crawford, Summer ; et al.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. :5375-5386

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258

Machine learning model with a novel self–adjustment method: A powerful tool for predicting biomass ash fusibility and enhancing its potential applications.
Mu, Lin ; Wang, Zhen ; Sun, Meng ; et al.
Renewable Energy: An International Journal. Dec2024:Part A, Vol. 237, pN.PAG-N.PAG. 1p.

Manufacturing processes Biomass conversion Machine learning Aluminum oxide Research personnel Investors
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259

BES-SVM: Enhanced Machine Learning Algorithm for Telegram Spam Classification
Hassan, Abubakar ; Wajiro, Mohammed A.
FUOYE Journal of Engineering and Technology; Vol 10 No 4 (2025): FUOYE Journal of Engineering and Technology ; 2579-0625 ; 2579-0617

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260

PREDICTING SIGNS AND SYMPTOMS IN WORKERS EXPOSED TO SURGICAL SMOKE: A MACHINE LEARNING APPROACH
Lopes, Larissa Padoin ; Angelini, Carlos Eduardo ; Rocha, Aline Franco da ; et al.
Texto & Contexto - Enfermagem, Volume: 34, Article number: e20250004, Published: 01 DEC 2025. December 2025

Machine learning Perioperative nursing Occupational health Signs and symptoms Aprendizaje automático Enfermería perioperatori... …
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