Suchergebnisse - ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.1: Fuzzy siete

On the use of Action Units and fuzzy explanatory models for facial expression recognition

Autoren: E. Morales-Vargas Carlos A. Reyes-García Hayde Peregrina‐Barreto

Quelle: PLoS One
PLoS ONE, Vol 14, Iss 10, p e0223563 (2019)

Schlagwörter: Artificial intelligence, Action (physics), Feature (linguistics), Emotions, Social Sciences, 02 engineering and technology, Face detection, Pattern recognition (psychology), Identification (biology), Facial Landmark Detection, Sociology, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Face Recognition and Analysis Techniques, Expression (computer science), Facial recognition system, Physics, Social science, FOS: Philosophy, ethics and religion, Programming language, FOS: Sociology, FOS: Psychology, Facial Expression, Databases as Topic, Biometrics, Emotion Recognition, Physical Sciences, Medicine, Computer Vision and Pattern Recognition, Facial Recognition, Algorithms, Research Article, Emotion Recognition and Analysis in Multimodal Data, Facial expression, Face (sociological concept), Science, Experimental and Cognitive Psychology, Speech recognition, Quantum mechanics, Fuzzy Logic, Facial Expression Analysis, Machine learning, Three-dimensional face recognition, Humans, Biology, Botany, Discriminative model, Linguistics, Models, Theoretical, Computer science, Fuzzy logic, Philosophy, Computer Science, Affective Computing, FOS: Languages and literature, Face Recognition and Dimensionality Reduction Techniques

Zugangs-URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0223563&type=printable
https://pubmed.ncbi.nlm.nih.gov/31613902
https://doaj.org/article/390b2e031b0549dcae5d164a913dbc88
https://www.ncbi.nlm.nih.gov/pubmed/31613902
https://pubmed.ncbi.nlm.nih.gov/31613902/
https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0223563
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6793860

XVIII Congreso Internacional de Electrónica Control y Telecomunicaciones : Ciencia, Tecnología e innovación avanzadas para transitar hacía un nuevo sistema sociotécnico: transformación social sostenible. Libro de memorias Vol. 14 ; Ciencia, tecnología e innovación avanzadas para transitar hacía un nuevo sistema sociotécnico: transformación social sostenible. Libro de memorias Vol. 14 ; XVIII International Congress of Electronics, Control and Telecommunications: Advanced science, technology and innovation to move towards a new socio-technical system: sustainable social transformation. Memoir Book Vol. 14

Autoren: Guerrero, Henry B. Jutinico Alarcón, Andrés Leonardo Fajardo Barrero, Juan et al.

Weitere Verfasser: Guerrero, Henry B. Jutinico Alarcón, Andrés Leonardo Fajardo Barrero, Juan et al.

Schlagwörter: Robótica, Agentes inteligentes, Inteligencia artificial, Redes neuronales, Automatización, Bioingeniería, Platafomas web, Prótesis, TIC, Procesamiento de datos, Generadores de energía, Energía -- Congresos, conferencias, etc. -- Memorias, Bioingeniería -- Congresos, Sistemas de control inteligente -- Congresos, Procesamiento de señales -- Congresos, Automatización -- Congresos, Desarrollo de prototipos -- Congresos, Ingeniería biomédica -- Congresos, Tecnologías de la información y de la comunicación -- Congresos, Procesamiento digital de imágenes -- Congresos, Redes neuronales (Computadores) -- Congresos, Inteligencia artificial -- Congresos, Robotics, Intelligent agents, Artificial intelligence, Neural networks, Automation, Bioengineering

Dateibeschreibung: pdf; application/pdf

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Verfügbarkeit: https://hdl.handle.net/11349/40350

Robust speech recognition using consensus function based on multi-layer networks.

Autoren: Amami, Rimah Manita, Ghaith Smiti, Abir

Quelle: CISTI (Iberian Conference on Information Systems & Technologies / Conferência Ibérica de Sistemas e Tecnologias de Informação) Proceedings; 2014, Vol. 1, p1007-1012, 6p

Schlagwörter: AUTOMATIC speech recognition, AUDITORY perception, SPEECH perception, DATABASES, DATABASE management

Tecnologías disruptivas del proceso de globalización

Autoren: Navas Sierra, Jesús Alberto Cañas Duarte, Silvia Johana Cascante Vega, Jaime Enrique et al.

Schlagwörter: Biogenética, Globalización, Impresión 3D, Informática, Inteligencia artificial, Internet de las cosas, Nanotecnología, Robótica, Tecnologías disruptivas, 3D printing, Artificial intelligence, Biogenetics, Computer science, Disruptive technologies, Globalization, Internet of things, Nanotechnology, Robotics

Dateibeschreibung: 336 p.; application/vnd.openxmlformats-officedocument.wordprocessingml.document; application/octet-stream

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Verfügbarkeit: https://hdl.handle.net/20.500.12494/35985
https://doi.org/10.16925/9789587601268

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Alternate Title: Metabolic and cardiac adaptations during a strength protocol at the anaerobic threshold over 8 weeks. (English)

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Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-14900

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Quelle: Conference: 13. ACM annual computer science conference, New Orleans, LA, USA, 12 Mar 1985

Dateibeschreibung: Medium: X; Size: Pages: 435

Zugangs-URL: http://www.osti.gov/scitech/biblio/6684443

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Alternate Title: ARTIFICIAL INTELLIGENCE IN MEDICINE AND PHARMACY. (English)

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Alternate Title: Discriminant analysis to predict the clinical diagnosis of primary immunodeficiencies: a preliminary report. (English)

Autoren: Murata, Chiharu Ramírez, Ana Belén Ramírez, Guadalupe et al.

Quelle: Revista Alergia de Mexico; abr/jun2015, Vol. 62 Issue 2, p125-133, 9p

Schlagwörter: IMMUNODEFICIENCY, DIFFERENTIAL diagnosis, PATTERN perception, CROSS-sectional method, DISCRIMINANT analysis, MEDICAL records, MACHINE learning, DIAGNOSIS

Determinantes en la coordinación de actores y su efecto en el desempeño de la cadena de suministro hospitalaria en un ambiente lean ; Determinants of actor coordination and their impact on hospital supply chain performance in a lean environment

Autoren: Ruíz Orjuela, Erika Tatiana Adarme Jaimes, Wilson Sociedad, economía y productivadad SEPRO

Weitere Verfasser: Ruíz Orjuela, Erika Tatiana Adarme Jaimes, Wilson Sociedad, economía y productivadad SEPRO

Schlagwörter: 650 - Gerencia y servicios auxiliares::658 - Gerencia general, Equipos y Suministros de Hospitales, Equipment and Supplies, Hospital, Cadena de suministro hospitalaria, Coordinación, Determinantes, Desempeño, Gestión de cadenas de suministro, Hospital supply chain, Coordination, Determinants, Performance, Supply chain management, Lean manufacturing, Administración de la cadena de suministro

Dateibeschreibung: iv, 200 páginas; application/pdf

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Verfügbarkeit: https://repositorio.unal.edu.co/handle/unal/85915
https://repositorio.unal.edu.co/

Introduction to the Knowledge Discovery from Sensor Data

Weitere Verfasser: Ganguly, Auroop [ORNL]

Quelle: Conference: ACM SIGKDD International Workshop on Knowledge Discovery from Sensor Data, Las Vegas, NV, USA, 20080824, 20080824

Dateibeschreibung: Medium: X

Zugangs-URL: http://www.osti.gov/scitech/biblio/1001285

QuickSilver Technology Unveils Comprehensive Adaptive Computing System Platform for Developing Custom-Silicon Capability in Software

Autoren: By:DYLAND

Quelle: Business Wire, January 26, 2004

Evaluation of the Relation between Ictal EEG Features and XAI Explanations.

Autoren: Sánchez-Hernández, Sergio E. Torres-Ramos, Sulema Román-Godínez, Israel et al.

Quelle: Brain Sciences (2076-3425); Apr2024, Vol. 14 Issue 4, p306, 19p

Schlagwörter: EPILEPSY, MACHINE learning, ELECTROENCEPHALOGRAPHY, DEEP learning, DATABASES, NEUROLOGICAL disorders

Geografische Kategorien: SIENA (Italy)

Modelo de agregación para medir el nivel de abandono del proceso judicial de violencia psicológica contra la mujer o miembros del núcleo familiar. (Spanish)

Alternate Title: Aggregation model to measure the level of abandonment of the judicial process of psychological violence against women or members of the family nucleus. (English)

Autoren: Eras Díaz, Jorge Alfredo Montalván Arévalo, Diego Fernando Mullo Vargas, Shary Yulehima

Quelle: Neutrosophic Computing & Machine Learning; 2024, Vol. 33, p12-23, 12p