Search Results - (( jana AND python source code ) OR ( jana AND python resource code ))~

deepFPlearn⁺: enhancing toxicity prediction across the chemical universe using graph neural networks.

Authors: Soulios, Kyriakos Scheibe, Patrick Bernt, Matthias et al.

Source: Bioinformatics; Dec2023, Vol. 39 Issue 12, p1-4, 4p

Subject Terms: CHEMICAL testing, MOLECULAR structure, SOFTWARE compatibility, MOLECULAR weights, SOURCE code

pyCapsid: identifying dominant dynamics and quasi-rigid mechanical units in protein shells.

Authors: Brown, Colin Agarwal, Anuradha Luque, Antoni

Source: Bioinformatics; Jan2024, Vol. 40 Issue 1, p1-5, 5p

Subject Terms: SOURCE code, PROTEINS, CAPSIDS, PYTHONS

Company/Entity: MASSACHUSETTS Institute of Technology

Reproducibility of density functional approximations: How new functionals should be reported.

Authors: Lehtola, Susi Marques, Miguel A. L.

Source: Journal of Chemical Physics; 9/21/2023, Vol. 159 Issue 11, p1-14, 14p

Subject Terms: FUNCTIONALS, DENSITY functional theory, DENSITY, NUMERICAL calculations, SOURCE code

decoupleR: ensemble of computational methods to infer biological activities from omics data.

Authors: Badia-i-Mompel, Pau Santiago, Jesús Vélez Braunger, Jana et al.

Source: Bioinformatics Advances; 2022, Vol. 2 Issue 1, p1-3, 3p

Subject Terms: PYTHON programming language, INFORMATION retrieval, PERTURBATION theory, BIOINFORMATICS

Reviews & Products: BIOCONDUCTOR (Computer software)

Open-Source Web Service with Morphological Dictionary-Supplemented Deep Learning for Morphosyntactic Analysis of Czech

Authors: Straka, Milan Straková, Jana

Index Terms: Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2406.12422

OCR Using Python and Its Application.

Authors: Mukherjee, Sumita Tyagi, Hritik Tyagi, Purushautam et al.

Source: Journal of Advanced Zoology. 2023 Supplement, Vol. 44, p1083-1092. 10p.

A Review of Deep Learning-Based Binary Code Similarity Analysis.

Authors: Du, Jiang Wei, Qiang Wang, Yisen et al.

Source: Electronics (2079-9292); Nov2023, Vol. 12 Issue 22, p4671, 18p

Subject Terms: BINARY codes, DEEP learning, SOFTWARE engineering, ARTIFICIAL intelligence, COMPUTER network security, SOURCE code

Bridging the Gap: A Survey and Classification of Research-Informed Ethical Hacking Tools.

Authors: Modesti, Paolo Golightly, Lewis Holmes, Louis et al.

Source: Journal of Cybersecurity & Privacy; Sep2024, Vol. 4 Issue 3, p410-448, 39p

Subject Terms: PENETRATION testing (Computer security), SOURCE code, COMPUTER software, CLASSIFICATION, SURVEYS

Unleashing the power of pseudo-code for binary code similarity analysis.

Authors: Zhang, Weiwei Xu, Zhengzi Xiao, Yang et al.

Source: Cybersecurity (2523-3246); 12/1/2022, Vol. 5 Issue 1, p1-18, 18p

Subject Terms: BINARY codes, CONVOLUTIONAL neural networks, FLOWGRAPHS, SIMILARITY (Psychology), SOURCE code

DSCA-PSPNet: Dynamic spatial-channel attention pyramid scene parsing network for sugarcane field segmentation in satellite imagery.

Authors: Yujian Yuan Lina Yang Kan Chang et al.

Source: Frontiers in Plant Science; 2024, p1-16, 16p

Subject Terms: REMOTE-sensing images, SUGARCANE, PYRAMIDS, DEEP learning, PRECISION farming, SUSTAINABLE development, SOURCE code

Geographic Terms: GUANGXI Zhuangzu Zizhiqu (China)

Integrating diverse data sources to predict disease risk in dairy cattle—a machine learning approach.

Authors: Lasser, Jana Matzhold, Caspar Egger-Danner, Christa et al.

Source: Journal of Animal Science. Nov2021, Vol. 99 Issue 11, p1-14. 14p.

Subjects: Dairy cattle, Machine learning, Sensitivity & specificity (Statistics), Animal herds, Sports nutrition, Livestock farms, Mastitis, Animal breeding

Geographic Terms: Austria

Minimising by Simulation‐Based Optimisation the Cycle Time for the Line Balancing Problem in Real‐World Environments.

Authors: Moncayo–Martínez, Luis A. He, Naihui Arias–Nava, Elias H.

Source: Applied Stochastic Models in Business & Industry; Jan/Feb2025, Vol. 41 Issue 1, p1-18, 18p

Subject Terms: ASSEMBLY line balancing, STOCHASTIC programming, PREDICTION models, TURNAROUND time, INDUSTRY 4.0, MOTORCYCLE industry

sAMP‐VGG16: Force‐field assisted image‐based deep neural network prediction model for short antimicrobial peptides.

Authors: Pandey, Poonam Srivastava, Anand

Source: Proteins; Jan2025, Vol. 93 Issue 1, p372-383, 12p

Do fish gut microbiotas vary across spatial scales? A case study of Diplodus vulgaris in the Mediterranean Sea.

Authors: Ginevra, Lilli Charlotte, Sirot Hayley, Campbell et al.

Source: Animal Microbiome. 6/13/2024, Vol. 6 Issue 1, p1-24. 24p.

Assessing by Simulation the Effect of Process Variability in the SALB-1 Problem.

Authors: Moncayo-Martínez, Luis A. Arias-Nava, Elias H.

Source: AppliedMath; Sep2023, Vol. 3 Issue 3, p563-581, 19p

Subject Terms: ASSEMBLY line balancing, FUZZY numbers, STOCHASTIC analysis, PROGRAMMING languages, STOCHASTIC control theory, DETERMINISTIC processes

A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices.

Authors: Feng, Ruitao Chen, Sen Xie, Xiaofei et al.

Source: IEEE Transactions on Information Forensics & Security; 2021, Vol. 16, p1563-1578, 16p

Abstracts.

Source: Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C. Jan2022 Supplement S1, Vol. 51, p3-64. 62p.

Subjects: Anatomy, Sexual cycle, Biological specimens, Medical sciences, Physiology, Islands of Langerhans, Inner ear, Blended learning

Guide assignment in single-cell CRISPR screens using crispat.

Authors: Braunger, Jana M Velten, Britta

Source: Bioinformatics; Sep2024, Vol. 40 Issue 9, p1-6, 6p

Subject Terms: GENETIC engineering, FUNCTIONAL genomics, CRISPRS, SOURCE code, MEDICAL screening

Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data

Authors: Jakub Idkowiak Jonas Dehairs Jana Schwarzerová et al.

Source: Nature Communications, Vol 16, Iss 1, Pp 1-19 (2025)

Subject Terms: Science

File Description: electronic resource

Relation: https://doaj.org/toc/2041-1723

Access URL: https://doaj.org/article/4e901a73a34347ffbef54049de5ac663

Individual behavior tracking of heifers by using object detection algorithm YOLOv4.

Authors: Jahn, Sarah Schmidt, Gabriel Bachmann, Lisa et al.

Source: Frontiers in Animal Science. 2025, p1-11. 11p.