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A Bibliometric Analysis of Plant Disease Classification with Artificial Intelligence using Convolutional Neural Network
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In: Library Philosophy and Practice (e-journal) (2021)
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Determining Tone of a Body of Text
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In: Senior Projects Spring 2020 (2020)
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Self-supervised learning to detect key frames in videos
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In: Research outputs 2014 to 2021 (2020)
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Understanding Event Structure in Text
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In: FIU Electronic Theses and Dissertations (2020)
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Interactive Virtual Training: Implementation for Early Career Teachers to Practice Classroom Behavior Management
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In: FIU Electronic Theses and Dissertations (2020)
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Graphemics in the 21st Century 2018. Proceedings
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In: Graphemics in the 21st Century 2018 ; https://hal.archives-ouvertes.fr/hal-02383630 ; Graphemics in the 21st Century 2018, Jun 2018, Brest, France. 1, Fluxus Editions, pp.410, 2019, Grapholinguistics and Its Applications, 9782957054909 ; http://www.fluxus-editions.fr/gla1.php (2019)
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Adaptation and Implementation of the ISO42010 Standard to Software Design and Modeling Tools
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In: Model-Driven Engineering and Software Development. MODELSWARD 2018, Communications in Computer and Information Science ; https://hal-cea.archives-ouvertes.fr/cea-02572737 ; Model-Driven Engineering and Software Development. MODELSWARD 2018, Communications in Computer and Information Science, pp.236-258, 2019, ⟨10.1007/978-3-030-11030-7_11⟩ (2019)
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An LSTM-Based Neural Network Architecture for Model Transformations
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In: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS) ; https://hal-cea.archives-ouvertes.fr/cea-02572669 ; 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS), Sep 2019, Munich, Germany. pp.294-299, ⟨10.1109/MODELS.2019.00013⟩ (2019)
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Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering
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In: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) ; https://hal-cea.archives-ouvertes.fr/cea-02572659 ; 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Sep 2019, Munich, Germany. pp.168-169, ⟨10.1109/MODELS-C.2019.00028⟩ (2019)
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The Future of Model Transformation Languages: An Open Community Discussion.
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In: ISSN: 1660-1769 ; The Journal of Object Technology ; https://hal-cea.archives-ouvertes.fr/cea-02572743 ; The Journal of Object Technology, Chair of Software Engineering, 2019, 18 (3), pp.7:1. ⟨10.5381/jot.2019.18.3.a7⟩ (2019)
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A Model Driven Tool for Requirements and Hardware Engineering
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In: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) ; https://hal-cea.archives-ouvertes.fr/cea-02572673 ; 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Sep 2019, Munich, Germany. pp.769-773, ⟨10.1109/MODELS-C.2019.00120⟩ (2019)
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On the Need for Intellectual Property Protection in Model-Driven Co-Engineering Processes
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In: International Conference on Evaluation and Modeling Methods for Systems Analysis and Development ; https://hal-cea.archives-ouvertes.fr/cea-02572729 ; International Conference on Evaluation and Modeling Methods for Systems Analysis and Development, Jun 2019, Rome, Italy. pp.169-177, ⟨10.1007/978-3-030-20618-5_12⟩ ; https://www.emmsad.org/2019-program (2019)
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| 13 |
Belief Uncertainty in Software Models
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In: 2019 IEEE/ACM 11th International Workshop on Modelling in Software Engineering (MiSE) ; https://hal-cea.archives-ouvertes.fr/cea-02572731 ; 2019 IEEE/ACM 11th International Workshop on Modelling in Software Engineering (MiSE), May 2019, Montreal, Canada. pp.19-26, ⟨10.1109/MiSE.2019.00011⟩ (2019)
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| 14 |
Developing 5GL Concepts from User Interactions
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In: Masters Theses (2019)
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Artificial Intelligence and Reliability of Accounting Information
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In: Lecture Notes in Computer Science ; 17th Conference on e-Business, e-Services and e-Society (I3E) ; https://hal.inria.fr/hal-02274162 ; 17th Conference on e-Business, e-Services and e-Society (I3E), Oct 2018, Kuwait City, Kuwait. pp.315-324, ⟨10.1007/978-3-030-02131-3_28⟩ (2018)
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| 16 |
The 3D indoor deployment in DL-IoT with experimental validation using a particle swarm algorithm based on the dialects of songs
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In: Proceedings of IWCMC 2018 ; 14th International Wireless Communications and Mobile Computing Conference (IWCMC 2018) ; https://hal.archives-ouvertes.fr/hal-02883831 ; 14th International Wireless Communications and Mobile Computing Conference (IWCMC 2018), Jun 2018, Limassol, Cyprus. pp.928-933, ⟨10.1109/IWCMC.2018.8450473⟩ (2018)
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| 17 |
Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents
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In: IJCCI 2018 - 10th International Joint Conference on Computational Intelligence ; https://hal.inria.fr/hal-01931497 ; IJCCI 2018 - 10th International Joint Conference on Computational Intelligence, Sep 2018, Seville, Spain (2018)
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Cognifying Model-Driven Software Engineering
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In: Software Technologies: Applications and Foundations ; https://hal-cea.archives-ouvertes.fr/cea-02572650 ; Software Technologies: Applications and Foundations, pp.154-160, 2018, ⟨10.1007/978-3-319-74730-9_13⟩ (2018)
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| 19 |
Architectures for Real-Time Automatic Sign Language Recognition on Resource-Constrained Device
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In: UNF Graduate Theses and Dissertations (2018)
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Abstract:
Powerful, handheld computing devices have proliferated among consumers in recent years. Combined with new cameras and sensors capable of detecting objects in three-dimensional space, new gesture-based paradigms of human computer interaction are becoming available. One possible application of these developments is an automated sign language recognition system. This thesis reviews the existing body of work regarding computer recognition of sign language gestures as well as the design of systems for speech recognition, a similar problem. Little work has been done to apply the well-known architectural patterns of speech recognition systems to the domain of sign language recognition. This work creates a functional prototype of such a system, applying three architectures seen in speech recognition systems, using a Hidden Markov classifier with 75-90% accuracy. A thorough search of the literature indicates that no cloud-based system has yet been created for sign language recognition and this is the first implementation of its kind. Accordingly, there have been no empirical performance analyses regarding a cloud-based Automatic Sign Language Recognition (ASLR) system, which this research provides. The performance impact of each architecture, as well as the data interchange format, is then measured based on response time, CPU, memory, and network usage across an increasing vocabulary of sign language gestures. The results discussed herein suggest that a partially-offloaded client-server architecture, where feature extraction occurs on the client device and classification occurs in the cloud, is the ideal selection for all but the smallest vocabularies. Additionally, the results indicate that for the potentially large data sets transmitted for 3D gesture classification, a fast binary interchange protocol such as Protobuf has vastly superior performance to a text-based protocol such as JSON.
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Keyword:
Academic -- UNF -- Computing; Academic -- UNF -- Master of Science in Computer and Information Sciences; architecture; Computer and Systems Architecture; Digital Communications and Networking; Dissertations; mobile; real time; recognition; sign language; Systems and Communications; Thesis; UNF; University of North Florida
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URL: https://digitalcommons.unf.edu/etd/851
https://digitalcommons.unf.edu/cgi/viewcontent.cgi?article=1893&context=etd
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| 20 |
ImproteK: introducing scenarios into human-computer music improvisation
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In: ACM Computers in Entertainment ; https://hal.archives-ouvertes.fr/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩ (2017)
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