Results 51 to 60 of about 317 (148)
VehiclesObject detection for autonomous vehicles under adverse weather conditions—such as rain, fog, snow, and low light—remains a significant challenge due to severe visual distortions that degrade image quality and obscure critical features.
Chris Michael, Hongjian Wang
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Real‐Time Noise Source Estimation of a Camera System from an Image and Metadata
Advanced Intelligent Systems, Volume 6, Issue 6, June 2024.Images produced by cameras are corrupted by several types of noise that are internal to the camera. How can the different types and amount of noise be distinguished from an image and its camera metadata? A novel multibranch deep‐learning neural network is proposed to solve this problem. Code is available to test on different camera models.
Maik Wischow +3 more
wiley +1 more source
Journal of Computer Assisted Learning, Volume 40, Issue 3, Page 990-1005, June 2024.Abstract Background Given students' lack of self‐directed learning skills and the growing concern about implementing massive online open courses (MOOCs) in K12 education, learning strategies are needed to facilitate MOOC learning. Many studies have provided different strategies for effective learning in MOOCs.
Shan Tang, Chi‐Un Lei, Hong Qiang Wei
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CTE Workshop Proceedings, 2015 Research goal: to analyze the content and structure of instructivist massive open online courses of mathematics and computer sciences (MOOC) offered by some leading universities and based on the platforms Udacity, Coursers and edX.
V. V. Pikalova
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Journal of Software: Evolution and Process, Volume 36, Issue 5, May 2024.This paper presents an extended version of a bio‐inspired search‐based test generator, called Deeper, for the effective and efficient generation of failure‐revealing test scenarios to test a DNN‐based lane‐keeping system in the BeamNG autonomous driving simulator.
Mahshid Helali Moghadam +5 more
wiley +1 more source
Entrepreneurial framing: How category dynamics shape the effectiveness of linguistic frames
Strategic Management Journal, Volume 45, Issue 2, Page 362-395, February 2024.Abstract Research Summary How do new entrepreneurial ventures effectively deploy linguistic frames to attract customer demand? Drawing on framing and categories research, we develop and test theory about how category dynamics shape the effectiveness of two commonly observed frames—social impact framing and innovativeness framing—in the context of ...
Karl Taeuscher, Hannes Rothe
wiley +1 more source
Pedagogical models for video communication in massive open on-line courses (MOOCs): a success story
Tecnología, Ciencia y Educación, 2015 The initiatives on MOOCs promoted in the United States by prestigious universities, such as Stanford, Harvard, MIT, and by private bodies such as Udacity, aroused great interest worldwide; however the teaching and learning models proposed with MOOCs do ...
María Amata Garito
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YOLOv8n-FAWL: Object Detection for Autonomous Driving Using YOLOv8 Network on Edge Devices
IEEE AccessIn the field of autonomous driving, common challenges include difficulties in detecting small vehicles and pedestrians on the road, high computational demands of algorithms, and low accuracy of detection algorithms.
Zibin Cai +3 more
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Education robot object detection with a brain-inspired approach integrating Faster R-CNN, YOLOv3, and semi-supervised learning. [PDF]
Front Neurorobot, 2023 Hong Q, Dong H, Deng W, Ping Y.
europepmc +1 more source
MOOCs jako otwarte zasoby edukacyjne wspierające edukację dla przedsiębiorczości
Horyzonty Wychowania, 2019 CEL NAUKOWY: Celem artykułu jest ukazanie otwartych zasobów edukacyjnych w formie platform MOOC jako instrumentu wspierającego edukację dla przedsiębiorczości. PROBLEM I METODY BADAWCZE: Aby zrealizować postawiony cel wybrano takie metody badawcze, jak (
Krzysztof Wach
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