A5045147274- Coastal and Marine Management
- Video Surveillance and Tracking Methods
- Coastal and Marine Dynamics
- Network Security and Intrusion Detection
- Autonomous Vehicle Technology and Safety
- Machine Learning in Bioinformatics
- Tactile and Sensory Interactions
- Energy Load and Power Forecasting
- Face and Expression Recognition
- Stock Market Forecasting Methods
- Text Readability and Simplification
- Market Dynamics and Volatility
- IoT and GPS-based Vehicle Safety Systems
- Complex Network Analysis Techniques
- Topic Modeling
- Natural Language Processing Techniques
- vaccines and immunoinformatics approaches
- Computational Drug Discovery Methods
- demographic modeling and climate adaptation
- Coastal wetland ecosystem dynamics
- Vehicular Ad Hoc Networks (VANETs)
- Climate Change, Adaptation, Migration
- Sleep and Work-Related Fatigue
- Anomaly Detection Techniques and Applications
- Climate Change Policy and Economics
Universidad Europea del Atlántico
2023-2025
Ibero-American University Puebla
2022-2025
Ibero American University
2022-2025
Universidad Internacional
2022-2025
Universidad de la Romana
2023-2024
University of Virginia's College at Wise
2024
Universidade Internacional do Cuanza
2024
Universidad La República
2024
University of Puerto Rico at Arecibo
2023
Fundación Universitaria Internacional de Colombia
2023
A new artificial intelligence-based approach is proposed by developing a deep learning (DL) model for identifying the people who violate face mask protocol in public places. To achieve this goal, private dataset was created, including different images with and without masks. The trained to detect masks from real-time surveillance videos. detection (FMDNet) achieved promising of 99.0% terms accuracy violations (no mask) presented better capability compared other recent DL models such as...
Internet security is a major concern these days due to the increasing demand for information technology (IT)-based platforms and cloud computing. With its expansion, has been facing various types of attacks. Viruses, denial service (DoS) attacks, distributed DoS (DDoS) code injection spoofing are most common attacks in modern era. Due expansion IT, volume severity network have lately. DDoS frequently reported traffic Traditional solutions such as intrusion detection systems firewalls cannot...
Background Cancer remains one of the leading causes mortality globally, with conventional chemotherapy often resulting in severe side effects and limited effectiveness. Recent advancements bioinformatics machine learning, particularly deep offer promising new avenues for cancer treatment through prediction identification anticancer peptides. Objective This study aimed to develop evaluate a learning model utilizing two-dimensional convolutional neural network (2D CNN) enhance accuracy...
As Climate Change Haven Communities are constructed across the Northern Hemisphere, it will be necessary to attract two types of migrants populate them. The first group consists professionals and companies in eco-sustainable businesses, such as law firms, insurance companies, investment banking, technological innovation, mass media, medical research pharmaceutical research. second consist persons engaged organic/eco-sustainable agriculture whose crops animal husbandry practices can...
Non-word and real-word errors are generally two types of spelling errors. misspelled words that nonexistent in the lexicon while exist but used out context a sentence. Lexicon-based lookup approach is widely for non-word it incapable handling as they require contextual information. Contrary to English language, error detection correction low-resourced languages like Urdu an unexplored area. This paper presents language. We develop extensive 593,738 use this dataset comprising 125562...
The economic valuation of coastal ecosystem services is a critical step for the design sound public policies that support preservation nature provides to society in context climate change. Using value transfer method, we obtained represents loss caused by sea level rise Mexico. Bathtub digital elevation models and data, identified areas country prone flooding associated impacts. In Mexico, annual disappearance estimated at $6,476,402,405 USD, where wetlands represent greatest losses, since...
Driving while drowsy poses significant risks, including reduced cognitive function and the potential for accidents, which can lead to severe consequences such as trauma, economic losses, injuries, or death. The use of artificial intelligence enable effective detection driver drowsiness, helping prevent accidents enhance performance. This research aims address crucial need real-time accurate drowsiness mitigate impact fatigue-related accidents. Leveraging ultra-wideband radar data collected...
The Internet of Things (IoT) is a sophisticated network objects embedded with electronic systems that enable devices to collect and exchange data. IoT recent trending leading technology changing the way we live. However, it has several challenges especially efficiency, architecture, complexity, topology. traditional technologies are not enough provide support. It evident from literature complex networks used study topology structure applied modern technologies. Thus, capability powerful...
Kuc Castilla, A.; Mendoza, E.; Posada, G., and Silva, R., 2019. Design of hybrid ecosystem based strategies for the control erosion at Sabancuy beach, Campeche, Mexico. In: R.; Martínez, M.L.; Chávez, V., Lithgow, D. (eds.), Integrating Biophysical Components in Coastal Engineering Practices. Journal Research, Special Issue No. 92, pp. 85–91. Coconut Creek (Florida), ISSN 0749-0208.The analysis understanding coastline variability coastal erosion-accretion trends are important orienting...