000			04526nam a22004335i 4500
988			_aSpringer_Robotics_2020
999			_c116959 _d116959 _x1
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008			190823s2020 gw | s |||| 0|eng d
020			_a9783030295165
024	7		_a10.1007/978-3-030-29516-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ334 _b2020 EB
245	0	0	_aIntelligent Systems and Applications : _bProceedings of the 2019 Intelligent Systems Conference (IntelliSys) _nVolume 1 _cedited by Yaxin Bi, Rahul Bhatia, Supriya Kapoor
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XIV, 1302 páginas) _b537 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	1		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v1037
490	0		_aTechnologies and Robotics (Springer-42732)
505	0		_aCan Human Evidence Accumulation be Modeled using the Set-Theoretic Nature of Dempster-Shafer Theory? -- Emotional Speech Recognition using SMILE Features and Random Forest Tree -- A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations -- A Novel Algorithm for Dynamic Student Profile Adaptation based on Learning Styles -- Exploring Transfer Learning for Low Resource Emotional TTS -- Emotional Speech Datasets for English Speech Synthesis Purpose : A Review -- HORUS: An Emotion Recognition Tool -- Explanatory AI for Pertinent Communication in Autonomic Systems -- Bitcoin: A Total Turing Machine -- Agent-based Turing-Complete Transactions Integrating Feedback within a Blockchain System -- Decentralized Autonomous Corporations -- Validity Evaluation for the Data used for Artificial Intelligence System -- Who has Better Driving Style: Let Data Tell Us -- Visual Ontology Sketching for Preliminary Knowledge Base Design -- Shape Reconstruction from a Monocular Defocus Image using CNN -- ROM-based Deep Learning Inference for Sleep Stage Classification -- Fuzzy Control Techniques for Energy Conversion Systems -- Design and Implementation of the IMU Human Body Motion Tracking System -- Using Low-level Sensory Data to Recognize Events in a Smart Home -- The Role of Corporate Ontology in the IT Support of Processes Management.
520	3		_aThe book presents a remarkable collection of chapters covering a wide range of topics in the areas of intelligent systems and artificial intelligence, and their real-world applications. It gathers the proceedings of the Intelligent Systems Conference 2019, which attracted a total of 546 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process, after which 190 were selected for inclusion in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle a host of problems more effectively. This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for an international conference as a venue for reporting on the latest innovations and trends. This book collects both theory and application based chapters on virtually all aspects of artificial intelligence; presenting state-of-the-art intelligent methods and techniques for solving real-world problems, along with a vision for future research, it represents a unique and valuable asset.
650		7	_2embne _aInteligencia artificial _xCongresos y asambleas _9413115
650		7	_2embne _9138450 _aCibernética _xCongresos y asambleas
700	1		_aBi, Yaxin _eeditor _4http://id.loc.gov/vocabulary/relators/edt _999377
700	1		_aBhatia, Rahul _eeditor _4http://id.loc.gov/vocabulary/relators/edt _999373
700	1		_aKapoor, Supriya _eeditor _4http://id.loc.gov/vocabulary/relators/edt _999372
776	0	8	_iPrinted edition: _z9783030295158
776	0	8	_iPrinted edition: _z9783030295172
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-29516-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b01/2020 _eel _zSI