Results 11 to 20 of about 317 (148)
Upper Ocean Transport in the Anegada Passage From Multi‐Year Glider Surveys
Abstract Caribbean through‐flow accounts for two‐thirds of the Florida Current and consequently is an important conduit of heat and salt fluxes in the upper limb of the Atlantic Meridional Overturning Circulation (AMOC). Considering there is evidence that up to one‐half of the Florida Current originates as South Atlantic Water (SAW), determining the ...
J. C. Gradone +3 more
wiley +1 more source
Penelitian ini menyajikan proses dan pengembangan prototipe kendaraan otonom menggunakan simulator Udacity dengan metode Convolutional Neural Network (CNN). Penelitian ini menggunakan NVIDIA CNN Architecture untuk arsitektur convolutional neural networknya.
Alexander Parikesit +1 more
openaire +1 more source
MOOCS – A FORCE TO BE RECKONED WITH OR A TEMPORARY PHENOMENON [PDF]
The digital revolution has dramatically changed our everyday life. Using the Internet has evolved into a key technology that became an indispensable information source.
G. Koenig
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Building CNN Model for Autonomous Car using Udacity Simulator
{"references": ["\"Global Artificial Intelligence Market\" by Facts and Factors Research 2021", "Albawi, S., Mohammed, T. A., & Al-Zawi, S. (2017, August). Understanding of a convolutional neural network. In 2017 international conference on engineering and technology (ICET) (pp. 1-6). Ieee.", "Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B.
Jinendra Anchalia, Dr S Srividhya
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Media representations of massive open online courses (MOOCs) such as those offered by Coursera, edX and Udacity reflect tension and ambiguity in their bold promise of democratized education and global knowledge sharing.
Lisa Rafferty Portmess
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近期高等教育崛起一股新興風潮,是強調大規模、開放、自我進度學習與共 享之「大規模開放線上課程」(MOOCs,臺灣稱為「磨課師」)。MOOCs被認為 是將教育機會擴展至全球學習者的一種方式,但此風潮卻引起許多批評。因此, 本文主要探討MOOCs之發展及其對高等教育領域之影響。透過文獻分析,本文先 討論MOOCs之起源與特性,並概述三大MOOCs平臺公司─Udacity、Coursera與 edX;最後,討論此風潮所引發的挑戰,包含MOOCs之定義、中輟率、課程建議、 互動品質、學位授予 ...
侯雅雯 Ya-Wen Hou
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An Object Classification Approach for Autonomous Vehicles Using Machine Learning Techniques
An intelligent, accurate, and powerful object detection system is required for automated driving systems to keep these vehicles aware of their surrounding objects.
Majd Alqarqaz +2 more
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Research on Road Object Detection Model Based on YOLOv4 of Autonomous Vehicle
The YOLOv4 network is widely used in object detection tasks as a representative network, but there is also the problem that the complexity of the network model affects the detection speed.
Penghui Wang +3 more
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Research on multi-object detection technology for road scenes based on SDG-YOLOv5 [PDF]
To resolve the challenges of low detection accuracy and inadequate real-time performance in road scene detection, this article introduces the enhanced algorithm SDG-YOLOv5. The algorithm incorporates the SIoU Loss function to accurately predict the angle
Zhenyang Lv +4 more
doaj +2 more sources
Accurate and efficient vehicle detection framework based on SSD algorithm
Vehicle detection plays an important role in intelligent transportation systems and security. Using the original Single Shot MultiBox Detector (SSD) directly for vehicle detection, lacks accuracy and stability.
Min Zhao +3 more
doaj +1 more source

