Suchergebnisse - Classes and Objects Keywords JavaScript*

Add Some Class to Your JavaScript.

Autoren: Sheriff, Paul D.

Quelle: CODE Magazine; Nov/Dec2025, Vol. 26 Issue 6, p8-19, 12p, 36 Color Photographs

Schlagwörter: JAVASCRIPT programming language, OBJECT-oriented programming

INTERACTION METHOD BETWEEN WEBVIEW OBJECTS IN HYBRID JAVA APPLICATIONS.

Alternate Title: METODA INTERAKCJI POMIĘDZY OBIEKTAMI WEBVIEW W HYBRYDOWYCH APLIKACJACH JAVA. (Polish)

Autoren: Ratov, Denys Zakhozhai, Oleh

Quelle: Informatics Control Measurement in Economy & Environment Protection / Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2023, Vol. 13 Issue 4, p57-60, 4p

Schlagwörter: INFORMATION technology, INFORMATION storage & retrieval systems, INTERNET content, COMPUTER science, PATTERN recognition systems

Introduction to JavaScript Templating.

Autoren: Sheriff, Paul D.

Quelle: CODE Magazine; Sep/Oct2025, Vol. 26 Issue 5, p16-29, 14p, 35 Color Photographs

Schlagwörter: JAVASCRIPT programming language, WEB development, DESIGN templates

Towards a Real-Time Indoor Object Detection for Visually Impaired Users Using Raspberry Pi 4 and YOLOv11: A Feasibility Study.

Autoren: Noor, Ayman Almukhalfi, Hanan Souza, Arthur et al.

Quelle: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 144 Issue 3, p3085-3111, 27p

Schlagwörter: DEEP learning, OBJECT recognition (Computer vision), SINGLE-board computers, WEARABLE technology, FEASIBILITY studies, PEOPLE with visual disabilities

Leveraging the WFD2020 Dataset for Multi-Class Detection of Wheat Fungal Diseases with YOLOv8 and Faster R-CNN.

Autoren: Sood, Shivani Singh, Harjeet Khan, Surbhi Bhatia et al.

Quelle: Computers, Materials & Continua; 2025, Vol. 84 Issue 2, p2751-2787, 37p

Schlagwörter: LEAF rust, STRIPE rust, MYCOSES, RUST diseases, NOSOLOGY

Object-Oriented JavaScript.

Autoren: Odell, Den

Quelle: Pro JavaScript Development; 2014, p1-36, 36p

Enhancing POI Recognition with Micro-Level Tagging and Deep Learning.

Autoren: Messios, Paraskevas Dionysiou, Ioanna Gjermundrød, Harald

Quelle: Big Data & Cognitive Computing; Nov2025, Vol. 9 Issue 11, p293, 21p

Schlagwörter: TRANSFORMER models, RECOMMENDER systems, IMAGE recognition (Computer vision), IMAGE analysis, OBJECT recognition (Computer vision), DEEP learning

Exposure Modeling of Transmission Towers for Large-Scale Natural Hazard Risk Assessments Based on Deep-Learning Object Detection Models.

Autoren: Cesarini, Luigi Figueiredo, Rui Romão, Xavier et al.

Quelle: Infrastructures; Jul2025, Vol. 10 Issue 7, p152, 23p

Schlagwörter: DEEP learning, OBJECT recognition (Computer vision), GEOSPATIAL data, INFORMATION technology, HAZARD mitigation, ENVIRONMENTAL risk assessment, EMERGENCY management

JSDeodorant: Class-awareness for JavaScript programs.

Autoren: Eshkevari, Laleh Mazinanian, Davood Rostami, Shahriar et al.

Quelle: ICSE: International Conference on Software Engineering; 2017, p71-74, 4p

Schlagwörter: JAVASCRIPT programming language, COMPUTER software developers, USER interfaces, SOFTWARE maintenance, COMPUTER software development

YOLOPears: a novel benchmark of YOLO object detectors for multi-class pear surface defect detection in quality grading systems.

Autoren: Chen, Junsheng Fu, Haoxuan Lin, Chuhan et al.

Quelle: Frontiers in Plant Science; 2025, p1-16, 16p

Schlagwörter: SURFACE defects, CUSTOMER satisfaction, COMPUTER vision, DATA augmentation, PEARS

Mobile Device-Based Ants Recognition and Tracking System: Methodology and Frameworks.

Autoren: KUSHNIR, Dmytro

Quelle: Baltic Journal of Modern Computing; 2025, Vol. 13 Issue 1, p79-95, 21p

Schlagwörter: OBJECT recognition (Computer vision), ANT colonies, RECOGNITION (Psychology), ANT algorithms

Toward Better Comprehension of Breaking Changes in the NPM Ecosystem.

Autoren: Kong, Dezhen Liu, Jiakun Bao, Lingfeng et al.

Quelle: ACM Transactions on Software Engineering & Methodology; May2025, Vol. 34 Issue 4, p1-23, 23p

Schlagwörter: JAVASCRIPT programming language, EMPIRICAL research, SOFTWARE engineering, SCRIPTING languages (Computer science), DOCUMENTATION

MRSimulator: A cross-platform, object-oriented software package for rapid solid-state NMR spectral simulation and analysis.

Autoren: Srivastava, Deepansh J. Giammar, Matthew Venetos, Maxwell C. et al.

Quelle: Journal of Chemical Physics; 12/7/2024, Vol. 161 Issue 21, p1-40, 40p

Schlagwörter: NUCLEAR magnetic resonance, INTEGRATED software, ROTATIONAL motion, RESONANCE, SYMMETRY

Automating building typology identification for seismic risk assessment using deep learning.

Autoren: Gomez, Daniel Charris, Daniela Percybrooks, Winston et al.

Quelle: Earthquake Spectra; Aug2025, Vol. 41 Issue 3, p1833-1862, 30p

Schlagwörter: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, OBJECT recognition (Computer vision), SYSTEM identification, RISK exposure

Ring: A Lightweight and Versatile Cross-Platform Dynamic Programming Language Developed Using Visual Programming.

Autoren: Fayed, Mahmoud Samir Alohali, Yousef A.

Quelle: Electronics (2079-9292); Dec2024, Vol. 13 Issue 23, p4627, 39p

Schlagwörter: VISUAL programming languages (Computer science), PROGRAMMING languages, VIRTUAL machine systems, OBJECT-oriented programming, TECHNOLOGICAL innovations, MICROCONTROLLERS

Measuring the performance of techniques for dynamic 2D animation in web browsers.

Autoren: Beňo, M. Ӧlvecký, M.

Quelle: Journal of Applied Mathematics, Statistics & Informatics; Dec2024, Vol. 20 Issue 2, p77-110, 34p

Schlagwörter: ANIMATION (Cinematography), WEB browsers, WEBSITES, LIBRARY technical services, MATHEMATICAL optimization

Prioritizing God Class Code Smells in Object-Oriented Software Using Fuzzy Inference System.

Autoren: Verma, Renu Kumar, Kuldeep Verma, Harsh K.

Quelle: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Sep2024, Vol. 49 Issue 9, p12743-12770, 28p

Schlagwörter: FUZZY logic, FUZZY systems, SOFTWARE refactoring, SOFTWARE maintenance, SMELL, GOD, MAINTENANCE costs

Performance assessment of drone-based photogrammetry coupled with machine-learning for the estimation of hail size distributions on the ground.

Autoren: Portmann, Jannis Lainer, Martin Brennan, Killian P. et al.

Quelle: Frontiers in Environmental Science; 2025, p1-23, 23p

Schlagwörter: PHOTOGRAMMETRY, MACHINE learning, SCIENTIFIC observation, WEATHER radar networks, AGRICULTURAL drones, AGRICULTURE, REMOTE sensing

Twisted Local Wild Mapping Class Groups: Configuration Spaces, Fission Trees and Complex Braids.

Autoren: Boalch, Philip Douçot, Jean Rembado, Gabriele

Quelle: Publications of the Research Institute for Mathematical Sciences; 2025, Vol. 61 Issue 3, p391-445, 55p

Schlagwörter: CONFIGURATION space, BRAID group (Knot theory), MODULI theory, RIEMANN surfaces, AUTOMORPHISM groups

CirclizePlus: using ggplot2 feature to write readable R code for circular visualization.

Autoren: Zhang, Zheyu Cao, Tianze Huang, Yuexia et al.

Quelle: Frontiers in Genetics; 2025, p1-7, 7p

Schlagwörter: FUNCTIONAL programming (Computer science), CARTESIAN coordinates, OBJECT-oriented programming, DRAWING techniques, PROGRAMMING languages