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001472038 001__ 1472038
001472038 003__ OCoLC
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001472038 020__ $$a9783031383441$$q(electronic bk.)
001472038 020__ $$a3031383443$$q(electronic bk.)
001472038 020__ $$z9783031383434
001472038 0247_ $$a10.1007/978-3-031-38344-1$$2doi
001472038 035__ $$aSP(OCoLC)1391211718
001472038 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP
001472038 049__ $$aISEA
001472038 050_4 $$aQ334
001472038 08204 $$a174.90063$$223/eng/20230727
001472038 24500 $$aNew trends in disruptive technologies, tech ethics and artificial intelligence :$$bthe DITTET 2023 collection /$$cDaniel H. de la Iglesia, Juan F. de Paz Santana, Alfonso J. López Rivero, editors.
001472038 264_1 $$aCham :$$bSpringer,$$c[2023]
001472038 300__ $$a1 online resource (xvi, 362 pages) :$$billustrations (chiefly color).
001472038 336__ $$atext$$btxt$$2rdacontent
001472038 337__ $$acomputer$$bc$$2rdamedia
001472038 338__ $$aonline resource$$bcr$$2rdacarrier
001472038 4901_ $$aAdvances in intelligent systems and computing,$$x2194-5365 ;$$v1452
001472038 500__ $$aConference proceedings.
001472038 500__ $$aIncludes author index.
001472038 5050_ $$aApplication of search algorithm in research of sEMG in swallowing disorders -- Predictive Maintenance of Mechanical systems using Data Analytics -- Development of web application firewall based on artificial intelligence -- Age Analysis with Convolutional Neural Networks -- Comparing Supervised and Unsupervised Machine Learning Techniques to Decision Support Systems in Healthcare -- Machine Learning for Automatic Weather Stations: A Case Study -- LIPTracker - People detection system based on their devices -- Smart electronic Nose: an empirical evaluation of new multi-channel gas sensors for smell classification -- Scalable and Energy-Efficient Deep Learning for Distributed AIoT Applications Using Modular Cognitive IoT Hardware -- An IoT-Based Framework for Monitoring Photovoltaic Batteries -- Spearmint: A Decentralized Solution for Recording Evidence of Cyberbullying -- Synonym-substitution algorithms for enrich the Agrovoc vocabulary -- Exploring OpenStack for Scalable and Cost-Effective Virtualization in Education -- Analysis of surface electromyography devices applied to swallowing disorders. A Systematic Review -- An IoT-enabled Framework for Efficient Water Management in Agriculture -- Integrating Weather and Orography Information in Trip Planning Systems for Heavy Goods Vehicles -- Is blockchain a disruptive innovation? A systematic literature review -- Exploring the Potential of Mixed Reality as a Support Tool for Industrial Training and Production Processes: A Case Study Utilizing Microsoft HoloLens -- Platform for tele-rehabilitation of balance disorder and motork skills -- A Framework to Optimize Waste Containers Collection Enabled by an ARIMA Model and IoT Data.
001472038 506__ $$aAccess limited to authorized users.
001472038 520__ $$aThis book offers the evidence-based insights into the ethical considerations surrounding disruptive technologies. In the rapidly evolving landscape of technology, where breakthroughs in artificial intelligence, big data, the Internet of Things, and bioinformatics have revolutionized our world, a critical need arises to reassess our ethical frameworks. This need has given birth to the thriving field of technology ethics, or tech ethics, which has grown exponentially in recent years. Once a niche area of research, it now encompasses a multitude of technology experts dedicated to understanding the societal impact of these advancements and striving for the development of more ethically grounded technology. At the forefront of this movement stands the International Conference on Disruptive Technologies, Tech Ethics, and Artificial Intelligence (DITTET 2023). Serving as a paramount platform for scholars, professionals, and experts, this conference presents an unparalleled opportunity to explore the latest scientific and technical progress and its profound ethical implications. DITTET facilitates the exchange of cutting-edge research on disruptive technologies, fostering knowledge transfer and collaboration among interdisciplinary fields. DITTET 2023 aspires to bring together a diverse range of industry leaders, humanists, and academics, providing a comprehensive overview of the scientific advancements and applications of artificial intelligence while examining their ethical dimensions in areas such as climate change, politics, economy, and security. By delving into these crucial topics, the conference aims to unravel the intricate relationship between technology and ethics, paving the way for responsible and conscientious innovation in today's world.
001472038 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 24, 2023).
001472038 650_0 $$aArtificial intelligence$$xMoral and ethical aspects$$vCongresses.
001472038 650_0 $$aDisruptive technologies$$xMoral and ethical aspects$$vCongresses.
001472038 655_0 $$aElectronic books.
001472038 655_7 $$aConference papers and proceedings.$$2lcgft
001472038 7001_ $$aIglesia, Daniel H. de la,$$eeditor.
001472038 7001_ $$aPaz Santana, Juan F. de,$$eeditor.
001472038 7001_ $$aLópez Rivero, Alfonso José,$$eeditor.
001472038 7112_ $$aConference on Disruptive Technologies, Tech Ethics, and Artificial Intelligence$$d(2023).
001472038 830_0 $$aAdvances in intelligent systems and computing ;$$v1452.$$x2194-5365
001472038 852__ $$bebk
001472038 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-38344-1$$zOnline Access$$91397441.1
001472038 909CO $$ooai:library.usi.edu:1472038$$pGLOBAL_SET
001472038 980__ $$aBIB
001472038 980__ $$aEBOOK
001472038 982__ $$aEbook
001472038 983__ $$aOnline
001472038 994__ $$a92$$bISE