Titlebook: Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference; José Manuel Machado,Pablo Chamoso,Mich

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吵闹

Automating the Implementation of Unsupervised Machine Learning Processes in Smart Cities Scenarioseffects. To this end, it is essential to have mechanisms capable of reading data from different media in real time. This will make it possible to solve many of the problems that arise in areas such as medicine, Smart Cities, industry, transport, etc. Analysing raw data to provide it with semantics i

弯腰

Intelligent Model Hotel Energy Demand Forecasting by Means of LSTM and GRU Neural Networks increased position of hotels as prosumers plus the renewable energy technologies, complicate the design of these systems, which depends on the use of reliable predict6ions for energy load. Based on artificial neural networks (ANN), regression approaches such as Long Short-Term Memory (LSTM) and Gat

紧张过度

Explainable Artificial Intelligence on Smart Human Mobility: A Comparative Study Approachs. Its characteristics have allowed for greater transparency and outcomes in AI-powered decision-making. This building trust and confidence can be useful in human mobility research. This work provides a comparative study in terms of the explainability of artificial intelligence on smart human mobili

显而易见

Recurrent Neural Networks as Electrical Networks, a Formalizationl networks consisted of simple systems of a few neurons that were commonly simulated through analogue electronic circuits. The passage from the equations to the circuits was carried out directly without justification and subsequent formalisation. The present work shows a way to formally obtain the e

Aboveboard

Computer Vision: A Review on 3D Object Recognitionnding operations. Although the potential of 3D object recognition is enormous, the information required for the spatial processing of the information means that the practical applications that end up being developed are very limited by the computational cost of the algorithms and frameworks used. Th

浪费物质

纤细

使混合

An IoUT-Based Platform for Managing Underwater Cultural Heritageof Underwater Cultural Heritage. These algorithms and models, capable of generating knowledge, will work as a supporting tool for decision-making. The platform will integrate information stored in databases with data acquired in real-time, working independently and in collaboration with other platforms and systems.

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