Výsledky vyhľadávania - FSF model‐based algorithm

An Improved Unmanned Aerial Vehicle Forest Fire Detection Model Based on YOLOv8.

Autori: Yun, Bensheng Xu, Xiaohan Zeng, Jie a ďalší

Zdroj: Fire (2571-6255); Apr2025, Vol. 8 Issue 4, p138, 25p

Predmety: DRONE aircraft, DETECTION algorithms, FOREST fires, RECOGNITION (Psychology), IMAGE recognition (Computer vision), DEEP learning

Machine Learning for Chinese Corporate Fraud Prediction: Segmented Models Based on Optimal Training Windows.

Autori: Goh, Chang Chuan Yang, Yue Bellotti, Anthony a ďalší

Zdroj: Information; May2025, Vol. 16 Issue 5, p397, 35p

Predmety: FRAUD, FRAUD investigation, RANDOM forest algorithms, MACHINERY industry, ORGANIZATIONAL performance

Automatic tuning of PID controllers using frequency sampling filters

Autori: Liuping Wang

Zdroj: IET Control Theory & Applications. 11:985-995

Predmety: 0209 industrial biotechnology, Estimation and detection in stochastic control theory, feedback, 02 engineering and technology, process control, FSF model-based algorithm, proportional-integral-derivative controller, frequency domain-based PID controller design, plant frequency response information estimation, three-term control, disturbance rejection, closed-loop control performance, closed-loop time constant, relay control, relay feedback control, reference following, Monte Carlo simulation, frequency estimation, frequency sampling filters, open-loop time constant, Monte Carlo methods, Filtering in stochastic control theory, sampling methods, frequency-domain analysis, auto-tuner, open loop systems, scaling factor, automatic PID controller tuning, filtering theory, frequency response, control system synthesis, Frequency-response methods in control theory, closed loop systems

Popis súboru: application/xml

Prístupová URL adresa: https://zbmath.org/8036246
https://doi.org/10.1049/iet-cta.2016.1284
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-cta.2016.1284
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cta.2016.1284
https://core.ac.uk/display/98663595
https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2016.1284

A UAV-Based Multi-Scenario RGB-Thermal Dataset and Fusion Model for Enhanced Forest Fire Detection.

Autori: Zhang, Yalin Rui, Xue Song, Weiguo

Zdroj: Remote Sensing; Aug2025, Vol. 7 Issue 15, p2593, 24p

Predmety: FOREST fire management, FOREST conservation, ENVIRONMENTAL protection, DETECTION algorithms, ACQUISITION of data, THERMOGRAPHY, DRONE aircraft

Improvement of Model Predictive Based Maximum Power Point Tracking Using Direct Control Predictive Power Point Tracking Algorithm.

Autori: Kusumawardana, Arya Habibi, Muhammad Afnan Gumilar, Langlang

Zdroj: International Review of Automatic Control; Nov2022, Vol. 15 Issue 6, p309-318, 10p

Predmety: PREDICTION models, TRACKING algorithms

Unsupervised attribute reduction based on neighborhood dependency.

Autori: Li, Yi Zhang, Benwen Yuan, Zhong a ďalší

Zdroj: Applied Intelligence; Nov2024, Vol. 54 Issue 21, p10653-10670, 18p

Predmety: GRANULAR computing, NEIGHBORHOODS, ROUGH sets, ALGORITHMS

Validating DVS Application in Autonomous Driving with Various AEB Scenarios in CARLA Simulator.

Autori: Feng, Jingxiang Zhao, Peiran Konpang, Jessada a ďalší

Zdroj: World Electric Vehicle Journal; Nov2025, Vol. 16 Issue 11, p634, 23p

Predmety: AUTONOMOUS vehicles, AUTOMOBILE braking, FORECASTING, IMAGE sensors, DETECTION algorithms, AUTOMOBILE driving simulators

基于自适应 BayesShrink 和频-空特征融合的作物病害识别方法. (Chinese)

Alternate Title: Crop disease identification method based on adaptive BayesShrink and frequency-spatial feature fusion. (English)

Autori: 向玉云 陈思远 高爽 a ďalší

Zdroj: Transactions of the Chinese Society of Agricultural Engineering; 2025, Vol. 41 Issue 6, p204-215, 12p

Predmety: TRANSFORMER models, DISCRETE wavelet transforms, PLANT diseases, FEATURE extraction, IMAGE denoising

Sensor fault diagnosis in nonlinear stochastic systems: a hybrid system formulation.

Autori: Kwao, Vincent Raptis, Ioannis

Zdroj: International Journal of Systems Science; Jun2025, Vol. 56 Issue 8, p1755-1773, 19p

Predmety: NONLINEAR dynamical systems, FAULT diagnosis, STOCHASTIC systems, NONLINEAR systems, DYNAMICAL systems, HYBRID systems

Driver Distraction Recognition-driven Collision Avoidance Algorithm for Active Vehicle Safety

Autori: Devika, K. B. BERA, ASISH Yellapantula, Venkata Ramani a ďalší

Zdroj: Intelligent Transportation Systems. IEEE International Conference. 24th 2021. , IEEE.

Témy: Deep Learning, Convolutional Neural Network, Collision Avoidance, Driver distraction, Driver Activity Recognition, Hardware in Loop, Full State Feedback Controller, Conference proceeding (ISBN)

URL: https://research.edgehill.ac.uk/en/publications/6ea49e16-53d8-4651-88c3-632e604d8b5a
https://research.edgehill.ac.uk/ws/files/44190819/Revised_ITSC_494_final.pdf
https://research.edgehill.ac.uk/ws/files/44190819/Revised_ITSC_494_final.pdf

Using Machine Learning to Detect Financial Statement Fraud: A Cross-Country Analysis Applied to Wirecard AG.

Autori: Steingen, Luca Löw, Edgar

Zdroj: Journal of Risk & Financial Management; Nov2025, Vol. 18 Issue 11, p605, 43p

Predmety: MACHINE learning, FINANCIAL ratios, COMPARATIVE studies, FRAUD investigation, BUSINESS enterprises, ACCOUNTING fraud

Korporácia: WIRECARD AG

A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving.

Autori: Wang, Hai Liu, Junhao Dong, Haoran a ďalší

Zdroj: Sensors (14248220); May2025, Vol. 25 Issue 9, p2794, 25p

Predmety: MULTISENSOR data fusion, DETECTION algorithms, ARTIFICIAL intelligence, GEOGRAPHICAL perception, AUTONOMOUS vehicles, OBJECT recognition (Computer vision)

QUASI MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE OF LARGE APPROXIMATE DYNAMIC FACTOR MODELS VIA THE EM ALGORITHM.

Autori: Barigozzi, Matteo Luciani, Matteo

Zdroj: Working Papers: U.S. Federal Reserve Board's Finance & Economic Discussion Series; Oct2024, p1-41, 134p

Predmety: MAXIMUM likelihood statistics, EXPECTATION-maximization algorithms, KALMAN filtering, LEAST squares, PRINCIPAL components analysis

A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique.

Autori: Ali, Amal Al Khedr, Ahmed M. El-Bannany, Magdi a ďalší

Zdroj: Applied Sciences (2076-3417); Feb2023, Vol. 13 Issue 4, p2272, 16p

Predmety: FINANCIAL statements, FRAUD, SUPPORT vector machines, RANDOM forest algorithms, PYTHON programming language, DECISION trees

Geografický termín: MIDDLE East, MAGHREB (North Africa), NORTH Africa

A hybrid machine learning-based model for predicting flight delay through aviation big data.

Autori: Dai, Min

Zdroj: Scientific Reports; 2/26/2024, Vol. 14 Issue 1, p1-16, 16p

Predmety: FLIGHT delays & cancellations (Airlines), OPTIMIZATION algorithms, FEATURE selection, RANDOM forest algorithms, MACHINE learning, REGRESSION trees, BIG data

DLCH-YOLO: An Object Detection Algorithm for Monitoring the Operation Status of Circuit Breakers in Power Scenarios.

Autori: Shu, Riben Chen, Lihua Su, Lumei a ďalší

Zdroj: Electronics (2079-9292); Oct2024, Vol. 13 Issue 19, p3949, 20p

Predmety: OBJECT recognition (Computer vision), ELECTRIC circuit breakers, FEATURE extraction, DEEP learning, ALGORITHMS

Improving Airport Flight Prediction System Based on Optimized Regression Vector Machine Algorithm.

Autori: Salman, Baraa Yousif Parchami, Jaber

Zdroj: Journal of Techniques; Sep2024, Vol. 6 Issue 3, p26-34, 9p

Predmety: PARTICLE swarm optimization, WEBSITES, MACHINE learning, ALGORITHMS, DATABASES, AIR travel, TIME series analysis, FLIGHT delays & cancellations (Airlines), REGRESSION analysis

Equal-thickness screening mechanism of multi-mass vibrating flip-flow screens.

Autori: Sanpeng Gong Fuqiang Zhang Ningning Xu a ďalší

Zdroj: Physicochemical Problems of Mineral Processing; 2025, Vol. 61 Issue 4, p1-18, 18p

Predmety: FINITE element method, DISCRETE element method, MULTIBODY systems, EXPERIMENTAL design, MATERIALS testing

Dynamic Online Label Distribution Feature Selection Based on Label Importance and Label Correlation.

Autori: Chen, Weiliang Sun, Xiao Ren, Fuji

Zdroj: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 3, p1466, 23p

Predmety: ROUGH sets, FEATURE selection, PROBLEM solving, ALGORITHMS

PWFS: Probability-Weighted Feature Selection.

Autori: Ayanoglu, Mehmet B. Uysal, Ismail

Zdroj: Electronics (2079-9292); Jun2025, Vol. 14 Issue 11, p2264, 20p

Predmety: ENSEMBLE learning, RECEIVER operating characteristic curves, DEEP learning, GOLDEN ratio, MACHINE learning, STATISTICAL learning