Distributed Learning Ecosystems : Concepts, Resources, and Repositories
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Esplora cataloghi istituzionali, risorse elettroniche, riviste ad accesso aperto, collezioni disponibili e collegamenti per l’accesso accademico.
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Cataloghi istituzionali, risorse elettroniche, riviste ad accesso aperto, collezioni disponibili e collegamenti per l’accesso accademico.
International Review of Research in Open and Distributed Learning
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Articolo
Materie / parole chiave: Education: Special aspects of education
Idioma English
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Open AccessInternational Review of Research in Open and Distributed Learning
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Materie / parole chiave: education, distance education, open education, distributed learning, oer, elearning; Education: Special aspects of education
Idioma English
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Open AccessAdvanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network
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Articolo
Nowadays, the use of renewable energy is increasing, especially distributed power generation (DG) connected to the power grid. There are several problems when DG is connected to the grid. The principal obstacle pertains ...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma Inglés
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Open AccessAn Integrative Conceptual Review of Federated Learning Ontology: Reconceptualizing the Global Model as Distributed Intelligence
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Federated Learning (FL) is widely recognized as a privacy-preserving architecture, yet the ontological status of the "global model" within this distributed system remains under-theorized. This study challenges the purely...
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InstitucionalSeparation and identification of mixed signal for distributed acoustic sensor using deep learning
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With the application of Distributed Acoustic Sensors (DAS) across various infrastructures, it will play a pivotal role in shaping smart cities in the future. However, the current single-source detection and identificatio...
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Open AccessRandomization based shallow and federated-deep learning for smart grid security using label-encoded vulnerabilities and distributed LSTM computation
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With the constant advancement of the smart grid, zero-day attack processes in Advanced Metering Infrastructure (AMI) and Supervisory Control and Data Acquisition (SCADA) networks are also continually evolving. This study...
LCC LCC:Electronic computers. Computer scienceIdioma Inglés
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Open AccessDistributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
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Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasingly important to be...
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Página del recursoDistributed environment applied to HR formation/training: a cooperative/collaborative learning model
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Articolo
Distributed environment applied to HR formation/training: a cooperative/collaborative learning model
The subject matter of this work is focused in the development of an application for team work over a distributed system belonging to an organization.
This choice is based in the organizations need of their members’ co...
Idioma Inglés
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Open AccessDistributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
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Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasingly important to be...
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Página del recursoChapter: 'The Blockchain and Kudos: A Distributed System for Educational Record, Reputation and Reward' from book: Adaptive and Adaptable Learning: 11th European Conference on Technology Enhanced Learning, EC-TEL 2016, Lyon, France, September 13-16, 2016, Proceedings
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Material complementarioSecuring federated learning: A comparative review of privacy, trust, efficiency, and intrusion detection approaches
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Articolo
Federated Learning (FL) has emerged as a privacy-preserving distributed learning paradigm that enables collaborative model training without sharing raw data. Despite its advantages, ensuring trustworthy FL deployment rem...
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Material complementarioQuantum-Assisted Optimization and Security for Trustworthy AI-Driven Healthcare
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Articolo
Digital health increasingly relies on artificial intelligence for clinical decision-making, patient management, and distributed learning, yet two persistent challenges remain: the computational complexity of optimization...
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Open AccessCODILA+A : Modelo de apoyo para la preparación de actividades experimentales destinadas a la enseñanza de Ingeniería de Software en ambientes colaborativos y distribuidos geográficamente
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Testo / risorsa
En línea con las necesidades de la disciplina de Ingeniería de Software de adaptarse a los requerimientos del Desarrollo de Software Global; de capacitar y dar a los estudiantes la oportunidad de desarrollar habilidade...
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Open AccessDistribution of Feedback among Teacher and Students in Online Collaborative Learning in Small Groups
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Distribution of Feedback among Teacher and Students in Online Collaborative Learning in Small Groups
This study explores the characteristics and distribution of the feedback provided by the participants (a teacher and her students) in an activity organized inside a collaborative online learning environment. We analyse 8...
LCC LCC:Theory and practice of educationIdioma Inglés
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Open AccessStrategy approach for eLearning 2.0 deployment in Universities
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Articolo
The institutionally powered Personal Learning Environment (iPLE) constitutes our vision of how Web 2.0 technologies, people arrangement and data sharing could be applied for delivering open, flexible, distributed and le...
LCC LCC:Theory and practice of educationIdioma Inglés
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InstitucionalUnveiling Cryosphere Dynamics by Distributed Acoustic Sensing and Data‐Driven Hydro‐Thermo Coupled Simulation
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Articolo
Abstract As global warming continues, the Earth's cryosphere is experiencing severe degradation. This study leverages a novel combination of distributed acoustic sensing (DAS) and artificial intelligence to monitor and d...
LCC LCC:Geophysics. Cosmic physicsIdioma Inglés
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Material complementarioAP-PPFL: an anti-poisoning privacy-preserving federated learning method
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Articolo
Abstract Federated Learning (FL) has been widely used in Internet of Things (IoT) environments as a promising decentralized framework capable of collaborative model training without exposing local data. Despite its advan...
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Open AccessD2EBTN: Deep stacked dual learning ensembled attentional-based deep learning model for malware detection in the cloud
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Abstract Cloud computing is quite popular because of its scalability and flexibility merits. However, faces significant security risks from malware, which exploits infrastructure weaknesses to cause unauthorized access, ...
LCC LCC:Electronic computers. Computer scienceIdioma Inglés
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Open AccessDetection of exoplanets from TESS imaging data using unsupervised machine learning techniques
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The identification of exoplanets within habitable zones remains a central objective in modern astrophysics, particularly with the availability of large-scale photometric datasets from space-based missions such as the Tra...
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Material complementarioEconomical vehicle-side strategies for an electric bus charging station in vehicle-to-grid services based on reinforcement learning
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Articolo
The power batteries of idle electric vehicles can be utilized as distributed energy storage units to deliver Vehicle-to-Grid (V2G) services, enabling bidirectional energy flow between the grid and EV batteries. Existing ...
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Open AccessFamily Factors as the Primary Determinant of Learning Independence: An Empirical Study of Tiara School Elementary Students
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This study aims to examine the influence of family factors on the learning independence of students at Tiara School Elementary School Jakarta. Family factors analyzed include parental support and attention, grade level, ...
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Open AccessHierarchical multi-agent reinforcement learning for retrieval-augmented industrial document question answering
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Abstract Multimodal industrial documents–such as operation manuals, circuit diagrams, and parameter tables–contain domain knowledge distributed across text, images, and document layout. However, most existing retriev...
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Material complementarioLatency-Aware Orchestration of Microservices in Heterogeneous Kubernetes Clusters Using Reinforcement Learning
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Articolo
he orchestration of microservices in distributed cloud environments poses significant challenges due to the heterogeneous nature of cluster nodes and dynamic workload patterns. Traditional scheduling strategies in Kubern...
LCC LCC:Electronic computers. Computer scienceIdioma Inglés
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Open Access