Search Results - "Python code development"

Yapay Zeka Uygulamalarının Python Kod Üretimindeki Performans Karşılaştırması

Authors: Metin Akbulut

Source: Volume: 10, Issue: 1259-288
Sinop University Journal of Natural Sciences
Sinop Üniversitesi Fen Bilimleri Dergisi

Subject Terms: Yazılım Mühendisliği (Diğer), Software Engineering (Other), Artificial intelligence, coding, fault tolerance, code quality, Python code development, Yapay zeka, kodlama, hata toleransı, kod kalitesi, Python kod geliştirme

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/sinopfbd/issue/93116/1635155

Difficulties of Python code development: packages,virtualenvs and package mangers: Develop your code effectively with well chosen tools

Authors: Michał Wodyński Kompetenzzentrum für nicht-textuelle Materialien

Contributors: Michał Wodyński Kompetenzzentrum für nicht-textuelle Materialien

Subject Terms: Computer Science, Studienbereich Informatik, Ingenieurwissenschaften

Relation: https://av.tib.eu/media/49988

Availability: https://av.tib.eu/media/49988

Development of UI-WRF-Chem (v1.0) for the MAIA satellite mission: case demonstration.

Authors: Zhang, Huanxin Wang, Jun Janechek, Nathan et al.

Source: Geoscientific Model Development; 2025, Vol. 18 Issue 22, p9061-9099, 39p

Subject Terms: PARTICULATE matter, AEROSOLS, METEOROLOGY, URBAN heat islands, ARTIFICIAL satellites, AIR quality, ENVIRONMENTAL chemistry

Geographic Terms: ITALY, ATLANTA (Ga.), BEIJING (China), CHINA

Company/Entity: UNITED States. National Aeronautics & Space Administration

Accelerating systematic reviews: a novel 1-wk screening protocol using rule-based automation with AI-assisted Python coding.

Authors: Robleto, Emely Shehadeh, Lina A.

Source: American Journal of Physiology: Heart & Circulatory Physiology; Nov2025, Vol. 329 Issue 5, p1-23, 23p

Subject Terms: PYTHON programming language, AUTOMATION, RESEARCH methodology, EVALUATION methodology, MEDICAL information storage & retrieval systems

Dose Assessment for Wood Fuels and Their Ashes Available in Austria.

Authors: Herzner, Viktoria Katzlberger, Christian Pfeifer, Christoph et al.

Source: Health Physics; Nov2025, Vol. 129 Issue 5, p388-398, 11p

Enhancing Hydrogen Energy Consumption Prediction Based on Stacked Machine Learning Model with Shapley Additive Explanations.

Authors: Elshewey, Ahmed M. Hassan, Samah A. Z. Youssef, Rasha Y. et al.

Source: Process Integration & Optimization for Sustainability; Nov2025, Vol. 9 Issue 5, p1847-1868, 22p

Predictive Power of ESG Factors for DAX ESG 50 Index Forecasting Using Multivariate LSTM.

Authors: Rosinus, Manuel Lansky, Jan

Source: International Journal of Financial Studies; Sep2025, Vol. 13 Issue 3, p167, 24p

Subject Terms: LONG short-term memory, STOCK price forecasting, FINANCIAL markets, MACHINE learning, STOCK price indexes, PREDICTIVE tests, PREDICTIVE validity, SUSTAINABLE investing

Research data supporting 'VRAI-Selectivity: Calculation of Selectivity Beyond Transition State Theory'

Authors: Lee, Sanha Goodman, Jonathan M

Index Terms: Organic Chemistry, Computational Chemistry, Reaction Selectivity, Nonstatistical Dynamics, Dataset

URL: https://www.repository.cam.ac.uk/handle/1810/337878
https://doi.org/10.1039/D1OB00234A
https://www.repository.cam.ac.uk/handle/1810/322177
https://doi.org/10.1039/D1OB00234A
https://www.repository.cam.ac.uk/handle/1810/322177

SCCM: A Novel Hybrid Framework for Dual Biometric Authentication for Identity Enhancement.

Authors: Verma, Saurav Rao, Ashwini Shah, Ketan

Source: International Research Journal of Multidisciplinary Technovation (IRJMT); 2025, Vol. 7 Issue 4, p129-145, 17p

Subject Terms: IRIS recognition, BIOMETRIC identification, CONVOLUTIONAL neural networks, INFRASTRUCTURE (Economics), COMPUTER vision

Preliminary study on the spread of air-borne pollutants in urban environment: a CFD simulation approach.

Authors: Ahmad, Fatma Majumder, Debjit Ranjit, Rabs et al.

Source: Scientific Reports; 5/29/2025, Vol. 15 Issue 1, p1-19, 19p

Subject Terms: AIR pollutants, LARGE eddy simulation models, COMPUTATIONAL fluid dynamics, CITY dwellers, QUALITY of life

From Single to Deep Learning and Hybrid Ensemble Models for Recognition of Dog Motion States †.

Authors: Davoulos, George Lalakou, Iro Hatzilygeroudis, Ioannis

Source: Electronics (2079-9292); May2025, Vol. 14 Issue 10, p1924, 19p

Subject Terms: CONVOLUTIONAL neural networks, ENSEMBLE learning, RECURRENT neural networks, DATABASES, MACHINE learning, DEEP learning

Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization.

Authors: Sawah, Mohamed S. Elmannai, Hela El-Bary, Alaa A. et al.

Source: Scientific Reports; 4/16/2025, Vol. 15 Issue 1, p1-20, 20p

Subject Terms: MACHINE learning, METAHEURISTIC algorithms, GREY Wolf Optimizer algorithm, AIR quality indexes, FEATURE selection

Project-based learning for machine learning in computer vision courses: Case study of Kazakhstan and Slovakia.

Authors: Meruyert, Serik Aigul, Sadvakassova Nassipzhan, Duisegaliyeva et al.

Source: International Journal of Innovative Research & Scientific Studies; 2025, Vol. 8 Issue 2, p1183-1196, 14p

Subject Terms: STUDENT engagement, MACHINE learning, INFORMATION technology, COMPUTER vision, COMPUTER literacy

Prediction of Body Mass of Dairy Cattle Using Machine Learning Algorithms Applied to Morphological Characteristics.

Authors: de Oliveira, Franck Morais Ferraz, Patrícia Ferreira Ponciano Ferraz, Gabriel Araújo e Silva et al.

Source: Animals (2076-2615); Apr2025, Vol. 15 Issue 7, p1054, 22p

Subject Terms: ARTIFICIAL neural networks, MACHINE learning, ARTIFICIAL intelligence, REGRESSION analysis, STATISTICAL correlation

Assessing Variability in Children's Exposure to Contaminants in Food: A Longitudinal Non-Targeted Analysis Study in Miami, Florida.

Authors: Dias Cappelini, Luciana Teresa Ogunbiyi, Olutobi Daniel Guimarães Ferreira, Vinícius et al.

Source: Journal of Xenobiotics; Feb2025, Vol. 15 Issue 1, p11, 23p

Subject Terms: UPPER class, PRINCIPAL components analysis, LOCAL anesthetics, POLLUTANTS, MASS spectrometry, PHTHALATE esters

A Preliminary Fuzzy Inference System for Predicting Atmospheric Ozone in an Intermountain Basin.

Authors: Lawson, John R. Lyman, Seth N.

Source: Air (2813-4168); Sep2024, Vol. 2 Issue 3, p337-361, 25p

Subject Terms: OZONE, SNOW, INFERENCE (Logic), INDUSTRIAL efficiency

Reviews & Products: NATURAL Language Processing & Knowledge Representation: Language for Knowledge & Knowledge for Language (Book)

Analysis of four spans continuous beam by using python.

Authors: Saravanakumar, R. M. Pragalath, D. C. Haran

Source: AIP Conference Proceedings; 2024, Vol. 3037 Issue 1, p1-9, 9p

Subject Terms: PYTHON programming language, PROGRAMMING languages, PYTHONS, BENDING moment, SHEARING force, MATHEMATICAL analysis

EL Greco Platform: A novel Python programming learning platform that uses a real robot.

Authors: Rousouliotis, Minas Vasileiou, Marios Manos, Nikolaos et al.

Source: Computer Applications in Engineering Education; Jul2024, Vol. 32 Issue 4, p1-19, 19p

Subject Terms: ROBOT programming, PYTHON programming language, ROBOT design & construction, HUMANOID robots, ROBOTS, ROBOT control systems

People: GRECO, ca. 1541-1614

Ouvrai opens access to remote virtual reality studies of human behavioural neuroscience.

Authors: Cesanek, Evan Shivkumar, Sabyasachi Ingram, James N. et al.

Source: Nature Human Behaviour; Jun2024, Vol. 8 Issue 6, p1209-1224, 16p

Decoding the Atmosphere: Optimising Probabilistic Forecasts with Information Gain.

Authors: Lawson, John R. Potvin, Corey K. Nelson, Kenric

Source: Meteorology; Jun2024, Vol. 3 Issue 2, p212-231, 20p

Subject Terms: WEATHER forecasting, METEOROLOGICAL databases, EXTREME weather, MACHINE learning, PROBABILISTIC databases