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  1. Book ; Online: Developing "Smartness" in Emerging Environments and Applications with Focus on the Internet of Things (IoT)

    Mehmood, Rashid / Corchado, Juan M / Yigitcanlar, Tan

    2023  

    Keywords Technology: general issues ; History of engineering & technology ; artificial intelligence (AI) ; artificially intelligent city ; artificially intelligence commons ; smart city ; smart urban technology ; urban informatics ; sustainable urban development ; climate change ; pandemics ; natural disasters ; sensor city ; City 4.0 ; smart urbanism ; smart governance ; disruptive urban transition ; Internet-of-Things (IoT) ; technology giants ; sensors ; transit ; bus ; transfer ; smart card ; spatial analysis ; mode choice ; internet of everything (IoE) ; 6th generation (6G) networks ; artificial intelligence ; Distributed AI as a Service (DAIaaS) ; fog computing ; edge computing ; cloud computing ; smart airport ; smart districts ; PPE ; OHS ; risk detection ; naive Bayes ; support vector machine ; convolutional neural network ; deep learning ; microcontroller ; edge-fog-cloud computing ; Internet of Things ; robotics ; autonomous driving ; image registration ; smart sensor ; real time big data ; land-use ; air quality ; particulate matter (PM10 PM2.5) ; Intelligent Transportation Systems ; functional requirements ; machine learning ; model actionability ; model evaluation ; cloud server ; customized sensor node ; customized gateway ; FLoRa simulation ; LoRa range radio ; solid waste management ; smart cities ; big data ; event detection ; road traffic ; distributed machine learning ; automatic labeling ; social media ; data analytics ; social media analytics ; Arabic tweets ; 3D microstructure reconstruction ; permeable pavement ; generative adversarial networks ; tiny AI ; tiny ML ; distributed AI as a service (DAIaaS) ; skin disease diagnosis ; healthcare ; smart societies ; smart healthcare ; reference architecture ; TensorFlow ; visually impaired ; smart mobility ; LiDAR ; ultrasonic ; obstacle detection ; obstacle recognition ; assistive tools ; green computing ; sustainability ; Arduino Uno ; smart app ; n/a
    Language English
    Size 1 electronic resource (384 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030377235
    ISBN 9783036561844 ; 3036561846
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems

    Mathieu, Philippe / Corchado, Juan M / González-Briones, Alfonso / De la Prieta, Fernando

    2023  

    Keywords Information technology industries ; Computer science ; disinformation ; social networks ; bots ; model ; online public opinion ; group polarization ; influencing factors ; power relations ; eco-conservation ; high-quality development ; agent-based model (ABM) ; composite system ; balanced indicators ; modeling and simulation ; practical formal method ; multi-resolution ; discrete event system specification ; consensus groups ; agent-based model ; web of beliefs ; composite e-commerce platform ; dual differentiated ; product innovation ; product encroachment ; multi-agent simulation ; agile development ; earned value management ; task board ; agent-based simulation ; accounting framework ; agent ; automotive ; electro-mobility ; financial statement ; simulation ; stock flow consistency ; system dynamics ; deep reinforcement learning ; lane-free traffic ; autonomous driving ; internet of things (IoT) ; open multiagent systems ; smart grid ; engineering multiagent systems (EMASs) ; digital twin ; Cartesian genetic programming ; multi-agent system ; COHDA ; distributed optimization ; CMA-ES ; agent coordination ; multi-agent reinforcement learning ; centralized learning decentralized execution ; blockchain ; software ; infrastructure ; costs ; benefits ; evaluation ; multi-agent systems ; distributed machine learning ; hyperparameter tuning ; agent-based optimization ; random search ; path allocation ; fairness ; constraint optimization ; satellite constellation ; n/a
    Language English
    Size 1 electronic resource (330 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030649767
    ISBN 9783036593081 ; 303659308X
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Advances in Public Transport Platform for the Development of Sustainability Cities

    Corchado, Juan M. / Larriba-Pey, Josep L. / Chamoso, Pablo / De la Prieta, Fernando

    2022  

    Keywords Technology: general issues ; History of engineering & technology ; Environmental science, engineering & technology ; optimization models ; timetable ; passenger waiting time ; vehicle occupancy ratio ; intelligent transportation systems ; demand prediction ; taxi recommendation ; vehicle social network ; ride-hailing ; urban rail transit (URT) ; exploratory data analysis (EDA) ; data envelopment analysis (DEA) ; sustainable transport systems ; intelligent transportation systems (ITS) ; big-data applications ; dynamic bus travel time prediction ; wide and deep ; data fusion ; attention ; recurrent neural network ; deep neural networks ; intelligent transportation ; railway ; CPS ; security ; safety ; critical infrastructure ; carsharing ; data analysis ; delays ; demand ; public transit ; taxi ; complex network analysis ; centrality measures ; network robustness ; ridership patterns ; clustering analysis ; passenger flow ; Barcelona underground ; artificial intelligence ; Big Data analytics ; forecasting systems ; recommender system ; Fintech ; passenger traffic ; artificial neural network ; regression analysis ; reputation algorithm ; users' reputation ; transport ; software application ; deep learning ; energy consumption ; sustainable cities ; transfer learning ; wastewater treatment plants ; unmanned aerial vehicles (UAVs) ; multi-objective optimization ; integer programming ; GLPK ; variable neighborhood search ; search and rescue ; learning recommender system ; learning object ; learning videos ; content-based ; collaborative filtering ; users' profiling ; data extraction ; natural language processing ; mapping application ; time series forecasting ; HTM ; regression ; machine intelligence ; cyber-attack detection ; IoT ; trust ; energy trading ; trusted negotiations ; n/a
    Language 0|e
    Size 1 electronic resource (346 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021609058
    ISBN 9783036539799 ; 3036539794
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Conference proceedings: 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 2008)

    Corchado, Juan M.

    (Advances in soft computing ; 49)

    2009  

    Title variant Second International Workshop on Practical Applications of Computational Biology and Bioinformatics (IWPACBB 08)
    Event/congress International Workshop on Practical Applications of Computational Biology and Bioinformatics (2, 2008, Salamanca)
    Author's details Juan M. Corchado ... (ed.)
    Series title Advances in soft computing ; 49
    Collection
    Keywords Bioinformatik
    Subject code 570.285
    Language English
    Size XII, 254 S. : Ill., graph. Darst., 24 cm
    Publisher Springer
    Publishing place Berlin u.a.
    Publishing country Germany
    Document type Book ; Conference proceedings
    Note Literaturangaben
    HBZ-ID HT015993609
    ISBN 978-3-540-85860-7 ; 9783540858614 ; 3-540-85860-1 ; 354085861X
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2009 A 5022 order for loan Magazin

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  5. Article ; Online: Emerging Sensor Communication Network-Based AI/ML Driven Intelligent IoT.

    Sharma, Bhisham / Koundal, Deepika / Ramadan, Rabie A / Corchado, Juan M

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 18

    Abstract: At present, the field of the Internet of Things (IoT) is one of the fastest-growing areas in terms of Artificial Intelligence (AI) and Machine Learning (ML) techniques [ ... ]. ...

    Abstract At present, the field of the Internet of Things (IoT) is one of the fastest-growing areas in terms of Artificial Intelligence (AI) and Machine Learning (ML) techniques [...].
    Language English
    Publishing date 2023-09-12
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23187814
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Developing Smartness in Emerging Environments and Applications with a Focus on the Internet of Things.

    Mehmood, Rashid / Corchado, Juan M / Yigitcanlar, Tan

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 22

    Abstract: The smartness that underpins smart cities and societies is defined by our ability to engage with our environments, analyze them, and make decisions, all in a timely manner [ ... ]. ...

    Abstract The smartness that underpins smart cities and societies is defined by our ability to engage with our environments, analyze them, and make decisions, all in a timely manner [...].
    MeSH term(s) Internet of Things ; Cities
    Language English
    Publishing date 2022-11-18
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22228939
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Discovering the Value Creation System in IoT Ecosystems.

    Lopez, Carlos Alberto / Castillo, Luis Fernando / Corchado, Juan M

    Sensors (Basel, Switzerland)

    2021  Volume 21, Issue 2

    Abstract: Internet of Things (IoT) should not be seen only as a cost reduction mechanism for manufacturing companies; instead, it should be seen as the basis for transition to a new business model that monetizes the data from an intelligent ecosystem. In this ... ...

    Abstract Internet of Things (IoT) should not be seen only as a cost reduction mechanism for manufacturing companies; instead, it should be seen as the basis for transition to a new business model that monetizes the data from an intelligent ecosystem. In this regard, deciphering the operation of the value creation system and finding the balance between the digital strategy and the deployment of technological platforms, are the main motivations behind this research. To achieve the proposed objectives, systems theory has been adopted in the conceptualization stage, later, fuzzy logic has been used to structure a subsystem for the evaluation of input parameters. Subsequently, system dynamics have been used to build a computational representation and later, through dynamic simulation, the model has been adjusted according to iterations and the identified limits of the system. Finally, with the obtained set of results, different value creation and capture behaviors have been identified. The simulation model, based on the conceptualization of the system and the mathematical representation of the value function, allows to establish a frame of reference for the evaluation of the behaviour of IoT ecosystems in the context of the connected home.
    Language English
    Publishing date 2021-01-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s21020328
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: COSIBAS Platform-Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange.

    Martín, Diego Gutiérrez / Florez, Sebastian Lopez / González-Briones, Alfonso / Corchado, Juan M

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 2

    Abstract: The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks. Consequently, all ... ...

    Abstract The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks. Consequently, all of today's devices can connect to the internet and can provide valuable information for decision making. However, the data collected by different devices are in different formats, which makes it necessary to develop a solution that integrates comprehensive semantic tools to represent, integrate and acquire knowledge, which is a major challenge for IoT environments. The proposed solution addresses this challenge by using IoT semantic data to reason about actionable knowledge, combining next-generation semantic technologies and artificial intelligence through a set of cognitive components that enables easy interoperability and integration for both legacy systems and emerging technologies, such as IoT, to generate business value in terms of faster analytics and improved decision making. Thus, combining IoT environments with cognitive artificial intelligence services, COSIBAS builds an abstraction layer between existing platforms for IoT and AI technologies to enable cognitive solutions and increase interoperability across multiple domains. The resulting low-cost cross platform supports scalability and the evolution of large-scale heterogeneous systems and allows the modernization of legacy infrastructures with cognitive tools and communication mechanisms while reusing assets.
    MeSH term(s) Internet of Things ; Artificial Intelligence ; Internet ; Commerce ; Cognition
    Language English
    Publishing date 2023-01-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23020982
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Underwater Wireless Sensor Networks with RSSI-Based Advanced Efficiency-Driven Localization and Unprecedented Accuracy.

    Sathish, Kaveripakam / Chinthaginjala, Ravikumar / Kim, Wooseong / Rajesh, Anbazhagan / Corchado, Juan M / Abbas, Mohamed

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 15

    Abstract: Deep-sea object localization by underwater acoustic sensor networks is a current research topic in the field of underwater communication and navigation. To find a deep-sea object using underwater wireless sensor networks (UWSNs), the sensors must first ... ...

    Abstract Deep-sea object localization by underwater acoustic sensor networks is a current research topic in the field of underwater communication and navigation. To find a deep-sea object using underwater wireless sensor networks (UWSNs), the sensors must first detect the signals sent by the object. The sensor readings are then used to approximate the object's position. A lot of parameters influence localization accuracy, including the number and location of sensors, the quality of received signals, and the algorithm used for localization. To determine position, the angle of arrival (AOA), time difference of arrival (TDoA), and received signal strength indicator (RSSI) are used. The UWSN requires precise and efficient localization algorithms because of the changing underwater environment. Time and position are required for sensor data, especially if the sensor is aware of its surroundings. This study describes a critical localization strategy for accomplishing this goal. Using beacon nodes, arrival distance validates sensor localization. We account for the fact that sensor nodes are not in perfect temporal sync and that sound speed changes based on the medium (water, air, etc.) in this section. Our simulations show that our system can achieve high localization accuracy by accounting for temporal synchronisation, measuring mean localization errors, and forecasting their variation. The suggested system localization has a lower mean estimation error (MEE) while using RSSI. This suggests that measurements based on RSSI provide more precision and accuracy during localization.
    Language English
    Publishing date 2023-08-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23156973
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Artificial Cognitive Systems Applied in Executive Function Stimulation and Rehabilitation Programs: A Systematic Review.

    Robledo-Castro, Carolina / Castillo-Ossa, Luis F / Corchado, Juan M

    Arabian journal for science and engineering

    2022  Volume 48, Issue 2, Page(s) 2399–2427

    Abstract: This article presents a systematic review of studies on cognitive training programs based on artificial cognitive systems and digital technologies and their effect on executive functions. The aim has been to identify which populations have been studied, ... ...

    Abstract This article presents a systematic review of studies on cognitive training programs based on artificial cognitive systems and digital technologies and their effect on executive functions. The aim has been to identify which populations have been studied, the characteristics of the implemented programs, the types of implemented cognitive systems and digital technologies, the evaluated executive functions, and the key findings of these studies. The review has been carried out following the PRISMA protocol; five databases have been selected from which 1889 records were extracted. The articles were filtered following established criteria, to give a final selection of 264 articles that have been used for the purposes of this study in the analysis phase. The findings showed that the most studied populations were school-age children and the elderly. The most studied executive functions were working memory and attentional processes, followed by inhibitory control and processing speed. Many programs were commercial, customizable, gamified, and based on classic tasks. Some more recent initiatives have begun to incorporate user-machine interfaces, robotics, and virtual reality, although studies on their effects remain scarce. The studies recognize multiple benefits of computerized neuropsychological stimulation and rehabilitation programs for executive functions in different age groups, but there is a lack of studies in specific population sectors and with more rigorous research designs.
    Supplementary information: The online version contains supplementary material available at 10.1007/s13369-022-07292-5.
    Language English
    Publishing date 2022-09-28
    Publishing country Germany
    Document type Journal Article
    ISSN 2193-567X
    ISSN 2193-567X
    DOI 10.1007/s13369-022-07292-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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