A5071259293- Online Learning and Analytics
- E-Learning and Knowledge Management
- Plant and animal studies
- Plant Physiology and Cultivation Studies
- Bioinformatics and Genomic Networks
- Complex Network Analysis Techniques
- Greenhouse Technology and Climate Control
- Horticultural and Viticultural Research
- Educational Innovations and Technology
- Software System Performance and Reliability
- Human Mobility and Location-Based Analysis
- Tactile and Sensory Interactions
- 3D Modeling in Geospatial Applications
- Textile materials and evaluations
- Digital Accessibility for Disabilities
- Smart Agriculture and AI
- Technology Use by Older Adults
- Service-Oriented Architecture and Web Services
- IoT and Edge/Fog Computing
- Mobile and Web Applications
- Software-Defined Networks and 5G
- Evolutionary Algorithms and Applications
- Geographic Information Systems Studies
- Plant Water Relations and Carbon Dynamics
Washington State University
2016-2024
University of Cuenca
2020-2021
Abstract In Latin American universities, Learning Analytics (LA) has been perceived as a promising opportunity to leverage data meet the needs of diverse student cohort. Although universities have collecting educational for years, adoption LA in this region is still limited due lack expertise and policies processing using data. order get better picture how existing data‐related practices might affect incorporation institutions, we conducted mixed methods study four (two Chilean two...
Methods to efficiently uncover and extract community structures are required in a number of biological applications where networked data their interactions can be modeled as graphs, observing tightly-knit groups vertices ("communities") offer insights into the structural functional building blocks underlying network. Classical detection have largely focused on unipartite networks - i.e., graphs built out single type objects. However, due increased availability from various sources, there is...
Abstract Many Latin‐American institutions recognise the potential of learning analytics (LA). However, number actual LA implementations at scale remains limited, notwithstanding considerable effort made to formulate guidelines and frameworks support policy development. Guidance on how coordinate interaction between policymaking implementation is mostly missing, leaving a difficult challenge up practitioners. In this study we propose coordination model future initiatives scale. We explore...
Methods to uncover and extract community structures are required in a number of biological applications where networked data their interactions can be modeled as graphs, observing tightly-knit groups vertices ("communities") offer insights into the structural functional building blocks underlying network. While classical detection have focused largely on detecting molecular complexes from protein-protein networks other similar there is an increasing need for extending operation work...
Abstract The AgAID Institute is a National AI Research focused on developing solutions for specialty crop agriculture. Specialty crops include variety of fruits and vegetables, nut trees, grapes, berries, different types horticultural crops. In the United States, industry accounts multibillion dollar with over 300 grown just along U.S. west coast. agriculture presents several unique challenges: they are labor‐intensive, easily impacted by weather extremities, mostly irrigated lands hence...
The Internet of Things (IoT) represents the new industrial revolution, in which physical and virtual objects are interconnected. On other hand, microservices architectures have broken monolithic centralized way to build software, provide systems with high-quality characteristics (e.g., resilience, availability, modularity, portability). Therefore, idea merging those technologies can constitute a powerful strategy be applied environments that demand distribution management many IoT devices...
Cold temperatures during fall and spring have the potential to cause frost damage grapevines other fruit plants, which can significantly decrease harvest yields. To help prevent these losses, farmers deploy expensive mitigation measures, such as, sprinklers, heaters, wind machines, when they judge that may occur. This judgment, however, is challenging because cold hardiness of plants changes throughout dormancy period it difficult directly measure. has led scientists develop prediction...
Abstract Methods to efficiently uncover and extract community structures are required in a number of biological applications where networked data their interactions can be modeled as graphs, observing tightly-knit groups vertices (“communities”) offer insights into the structural functional building blocks underlying network. Classical detection have largely focused on unipartite networks—i.e., graphs built out single type objects. However, due increased availability from various sources,...
The loss of cognitive and motor functions in humans increases with age, the aging population is expected to continue growing significantly following years. In this context, serious games have become a tool that supports health professionals mitigating age-related problems. Additionally, accessibility provided by those tools determinant factor when users need adapt themselves particular technology. Therefore, paper presents an model evaluation method useful for assessing how accessible are...
The rapid development of technology has meant that over the past two decades Information and Communications Technologies (ICT) become increasingly involved in teaching process seek to change traditional learning models. With support modern technology, virtual platforms encourage adoption a new paradigm which geographical/temporal limitations no longer pose difficulty have been developed refined. These platforms, also known as Learning Management Systems (LMS), store student teacher...
Cold temperatures during fall and spring have the potential to cause frost damage grapevines other fruit plants, which can significantly decrease harvest yields. To help prevent these losses, farmers deploy expensive mitigation measures such as sprinklers, heaters, wind machines when they judge that may occur. This judgment, however, is challenging because cold hardiness of plants changes throughout dormancy period it difficult directly measure. has led scientists develop prediction models...
Grapevine budbreak is a key phenological stage of seasonal development, which serves as signal for the onset active growth. This also when grape plants are most vulnerable to damage from freezing temperatures. Hence, it important winegrowers anticipate day occurrence protect their vineyards late spring frost events. work investigates deep learning prediction using data collected multiple cultivars. While some cultivars have over 30 seasons others little 4 seasons, can adversely impact...