According to the conceptual classification of smart cities in previous studies (Cocchia 2014; Nam and Pardo 2011), technology, human, and organization represent the terms most frequently used to describe smart cities.
Then, we provide a classification of the smart objects into various types of agents and define a coordinator in the cloud.
The three modalities of diagnosis, imaging and therapy are considered to be an appropriate classification method for the analysis of smart systems being applied to specified medical sub-disciplines.
As technology has advanced, the classification of what is "smart" has stretched to encompass a host of technology: from mobile devices to TVs to cars to security systems to even kitchen appliances.
Precise definitions, explanations and classifications of terms used in smart technique are introduced and components of smart systems are defined.
This paper presents experimental adaptive identification and control of smart structures using neural networks based on system classification technique.
This recycling process consists of a combination of smart demolition, gentle grinding of the crushed concrete in an autogenous mill, and a novel dry classification technology called Advanced Dry Recovery (ADR) to remove the fines.
We have developed three algorithms, namely, Equipment Classification Algorithm (ECA), Context Aware Room Energy Utilization (CAREU), and Availability based Management Algorithm (AMA), for dynamic energy management to attain energy sustainability of smart buildings, and optimization models for profit maximization in smart buildings.
This chapter describes some of the applications of smart vision, such as the inspection of car engine seals, the inspection of wood boards, and texture classification.
In the context of smart industries, learning machines currently have various uses such as self-reconfiguration or self-quality improvement, which can be classification forecasting problems.
