: Machine Learning: A Guide to Current Research , Kluwer, Boston, Mass.Wilkins et al. 1986 David C.Wilkins, William J.Clancey, and Bruce G.Buchanan. Overview of the ODYSSEUS learning apprentice. In: Mitchell et al. 1986
Finally, we identify the future study direction for MIMO-based communication in VLC. Keywords: MIMO; machine learning; VLC; wireless communication; optical communication1. Introduction Wireless communication is now changing at a rapid pace to achieve the design goal of fifth-generation (5G) and ...
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The IMS Learning Design specification aims to represent the learning design of units of learning in a semantic, formal and machine interpretable way. Since its release in 2003 various parties have been active to develop tools, to experiment with Learning Design in practice, or to do research on...
Machine Learning and Signal Processing for Bridge Traffic Classification with Radar Displacement Time-Series Data This paper introduces a novel nothing-on-road (NOR) bridge weigh-in-motion (BWIM) approach with deep learning (DL) and non-invasive ground-based radar (GBR... M Arnold,S Keller - ...
This paper will consider the current state of Machine Learning for Artificial Intelligence, more specifically for applications, such as: Speech Recognition, Game Playing and Image Processing. The artificial world tends to make limited use of context in comparison to what currently happens in human lif...
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting out of Shandong University by NewsRx edi tors, research stated, "Track reconstruction is one of the most important and ch ...
While there is no shortage of ICT, the adoption for actual use in the classroom is often a hurdle for teachers, due to various concerns they harbour. This research study used the Concerns-Based Adoption Model (CBAM) to assess the... O Dele-Ajayi,OD Fasae,A Okoli - 《Plos One》 被引...
The emergence of ChatGPT—a natural language processing (NLP) model developed by OpenAI1to the general public has garnered global conversation on the utility of artificial intelligence (AI). OpenAI’s Generative Pretrained Transformer (GPT) is a type of machine learning that specializes in pattern...
This article describes a machine learning based approach to analyse the residual current on the AC side of a grid-connected PV system over a broad frequency range in realtime. The approach combines a smart RCM sensor system with two machine learning algorithms (pattern recognition and variational ...