Search Results - (( (statei OR stat) python code analysis ) OR ( (staten OR stateeyneeeinit) python code analysis ))

CLM App: Interlamellar Distance of Pearlite via CLM Revisited and Automated.

Authors: Zouhar, Martin Mikmeková, Šárka Hovjacký, Jan et al.

Source: Materials (1996-1944); Feb2026, Vol. 19 Issue 3, p635, 17p

Subject Terms: AUTOMATION, IMAGE analysis, QUALITY control, MICROSTRUCTURE

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Subject Terms: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Authors: Golestani, Ali M. Gee, Julia M.

Source: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Subject Terms: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Authors: Dunker, Fabian Mendoza, Emil Reale, Marco

Source: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Subject Terms: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

Unsupervised Voting for Detecting the Algorithmic Solving Strategy in Competitive Programming Solutions.

Authors: Stoica, Alexandru Stefan Babiceanu, Daniel Mihaescu, Marian Cristian et al.

Source: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 22, p3589, 19p

Subject Terms: MACHINE learning, CLUSTERING algorithms, COMPUTER science, ALGORITHMS, SOURCE code

GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model.

Authors: Li, Jingmao Xu, Yaqing Ma, Shuangge et al.

Source: Bioinformatics; Sep2025, Vol. 41 Issue 9, p1-9, 9p

Subject Terms: CANCER research, GENOTYPE-environment interaction, DIAGNOSTIC imaging, DEEP learning, EMPIRICAL research, COMPUTER simulation

Python Programming: Numerical Analysis/Machine Learning Series.

Authors: Doskas, Constantinos

Source: ISSA Journal; Oct2023, Vol. 21 Issue 10, p34-38, 5p

Subject Terms: PYTHON programming language, NUMERICAL analysis, MACHINE learning

JDroid: Android malware detection using hybrid opcode feature vector.

Authors: Arslan, Recep Sinan

Source: PeerJ Computer Science; Jul2025, p1-30, 30p

Subject Terms: MALWARE, MACHINE learning, DATA analytics, INFORMATION technology security, ENSEMBLE learning

Reviews & Products: ANDROID (Operating system)

Mathematical Model of the Software Development Process with Hybrid Management Elements.

Authors: Semenov, Serhii Tsukur, Volodymyr Molokanova, Valentina et al.

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 21, p11667, 44p

Subject Terms: COMPUTER software development, AGILE software development, TELEMETRY, PREDICTION models, INTERDISCIPLINARY research, EPISTEMIC uncertainty, RISK assessment

SparseCoder: Advancing source code analysis with sparse attention and learned token pruning.

Authors: Yang, Xueqi Jakubowski, Mariusz Kang, Li et al.

Source: Empirical Software Engineering; Feb2025, Vol. 30 Issue 1, p1-30, 30p

Time Series Analysis with Python Cookbook : Practical Recipes for the Complete Time Series Workflow, From Modern Data Engineering to Advanced Forecasting and Anomaly Detection

Authors: Tarek A. Atwan

Resource Type: eBook.

Subjects: Python (Computer program language), Machine learning

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics

DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 Generate Correct Code for LoRaWAN-Related Engineering Tasks.

Authors: Fernandes, Daniel Matos-Carvalho, João P. Fernandes, Carlos M. et al.

Source: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1428, 24p

Subject Terms: LANGUAGE models, GENERATIVE pre-trained transformers, GENERATING functions, RESEARCH questions, NATURAL languages

Entropy, Fidelity, and Entanglement During Digitized Adiabatic Quantum Computing to Form a Greenberger–Horne–Zeilinger (GHZ) State.

Authors: Jansen, Nathan D. Hunt, Katharine L. C.

Source: Entropy; Sep2025, Vol. 27 Issue 9, p891, 21p

Subject Terms: ENTROPY, QUANTUM entanglement, STATISTICAL accuracy, HAMILTONIAN mechanics, ISING model, QUANTUM computing, QUANTUM computers

Company/Entity: INTERNATIONAL Business Machines Corp.

Compound-SNE: comparative alignment of t-SNEs for multiple single-cell omics data visualization.

Authors: Cess, Colin G Haghverdi, Laleh

Source: Bioinformatics; Jul2024, Vol. 40 Issue 7, p1-5, 5p

Subject Terms: RESEARCH personnel, DATA visualization, GENE expression, DATA analysis, PYTHON programming language

Automation of Software Code Analysis Using Machine Learning Methods.

Authors: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Source: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

Evaluating Large Language Models in Code Generation: INFINITE Methodology for Defining the Inference Index.

Authors: Christakis, Nicholas Drikakis, Dimitris

Source: Applied Sciences (2076-3417); Apr2025, Vol. 15 Issue 7, p3784, 24p

Subject Terms: LANGUAGE models, LONG short-term memory, ARTIFICIAL intelligence, GENERATIVE pre-trained transformers, WIND speed

CEO masculine behavior and earnings management: does ethnicity matter?

Authors: Elsheikh, Tamer Hashim, Hafiza Aishah Mohamad, Nor Raihan et al.

Source: Journal of Financial Reporting & Accounting (Emerald Group Publishing Limited); 2025, Vol. 23 Issue 3, p959-983, 25p

Subject Terms: FIXED effects model, GOVERNMENT policy, STATISTICAL significance, EARNINGS management, CHIEF executive officers

Geographic Terms: MALAYSIA

An extensive study of the effects of different deep learning models on code vulnerability detection in Python code.

Authors: Wang, Rongcun Xu, Senlei Ji, Xingyu et al.

Source: Automated Software Engineering; Jun2024, Vol. 31 Issue 1, p1-35, 35p

Towards the genome-scale discovery of bivariate monotonic classifiers.

Authors: Fourquet, Océane Krejca, Martin S. Doerr, Carola et al.

Source: BMC Bioinformatics; 9/2/2025, Vol. 26 Issue 1, p1-32, 32p

Subject Terms: CLASSIFICATION, BIOMARKERS, ALGORITHMS, MACHINE learning, BIOINFORMATICS

Extended sample size calculations for evaluation of prediction models using a threshold for classification.

Authors: Whittle, Rebecca Ensor, Joie Archer, Lucinda et al.

Source: BMC Medical Research Methodology; 7/1/2025, Vol. 25 Issue 1, p1-12, 12p

Subject Terms: SAMPLE size (Statistics), PREDICTION models, RESEARCH personnel, MODEL validation, CALIBRATION