T. Perković, P. Šolić, D. Čoko, Ivo Andrić, Mohan Lal Kolhe
{"title":"Smart Environments","authors":"T. Perković, P. Šolić, D. Čoko, Ivo Andrić, Mohan Lal Kolhe","doi":"10.1080/02691728.2023.2277230","DOIUrl":null,"url":null,"abstract":"The number of connected devices in smart environments keeps increasing exponentially, as well as the data collected by these devices that need to be properly analyzed. The extraction of meaningful information and the correlation of the data from such data is a key factor in the successful implementation in smart environment scenarios. Great progress in technology, which include low-cost and massive computing, hardware, and storage facilitated Machine Learning implementations that hold a vast potential for data analysis and precise predictions made from the past observations for given new measurements. The aim of this Special issue is to gather different contributions that can be used in future smart environment architectures.","PeriodicalId":51614,"journal":{"name":"Social Epistemology","volume":"49 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Epistemology","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/02691728.2023.2277230","RegionNum":2,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY & PHILOSOPHY OF SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The number of connected devices in smart environments keeps increasing exponentially, as well as the data collected by these devices that need to be properly analyzed. The extraction of meaningful information and the correlation of the data from such data is a key factor in the successful implementation in smart environment scenarios. Great progress in technology, which include low-cost and massive computing, hardware, and storage facilitated Machine Learning implementations that hold a vast potential for data analysis and precise predictions made from the past observations for given new measurements. The aim of this Special issue is to gather different contributions that can be used in future smart environment architectures.
期刊介绍：
Social Epistemology provides a forum for philosophical and social scientific enquiry that incorporates the work of scholars from a variety of disciplines who share a concern with the production, assessment and validation of knowledge. The journal covers both empirical research into the origination and transmission of knowledge and normative considerations which arise as such research is implemented, serving as a guide for directing contemporary knowledge enterprises. Social Epistemology publishes "exchanges" which are the collective product of several contributors and take the form of critical syntheses, open peer commentaries interviews, applications, provocations, reviews and responses
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