A5075714432- Anomaly Detection Techniques and Applications
- Context-Aware Activity Recognition Systems
- IoT and Edge/Fog Computing
- Advanced Image Processing Techniques
- Gait Recognition and Analysis
- Cardiac, Anesthesia and Surgical Outcomes
- Surgical Simulation and Training
- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
- E-Learning and Knowledge Management
- Advanced Software Engineering Methodologies
- Distributed and Parallel Computing Systems
- Video Surveillance and Tracking Methods
- Multi-Agent Systems and Negotiation
- Image Processing Techniques and Applications
- Air Quality Monitoring and Forecasting
- IoT-based Smart Home Systems
- Machine Learning and Data Classification
- Balance, Gait, and Falls Prevention
- Stock Market Forecasting Methods
- Online Learning and Analytics
- Data Stream Mining Techniques
- Diabetic Foot Ulcer Assessment and Management
- Network Security and Intrusion Detection
- Hydrological Forecasting Using AI
Universidad Panamericana
2023-2024
University of the West of England
2021-2023
Universidad Panamericana
2023
Tecnológico de Monterrey
2014-2019
Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood monitoring of pollutant concentration levels, among others. Existing models use complex statistical that are often too costly, both computationally budgetary, or not applied downstream applications. Therefore, approaches Machine Learning algorithms conjunction with time-series data being explored an alternative overcome these drawbacks. To this end,...
Having synthetic image generation and automatic labelling as two separate processes remains one of the main limitations large real-world datasets. To overcome this drawback, a methodology to perform both tasks in simultaneous manner is proposed. resemble scenarios, diverse set rendering configurations illumination, locations, sizes are presented. For testing, three datasets (S, M SM), oriented construction field, were generated. Faster R-CNN, RetinaNet, YoloV4 detection algorithms used...
Motivated by the importance of studying relationship between habits students and their academic performance, daily activities undergraduate participants have been tracked with smartwatches smartphones. Smartwatches collect data together an Android application that interacts users who provide labeling own activities. The include eating, running, sleeping, classroom-session, exam, job, homework, transportation, watching TV-Series, reading. collected were stored in a server for activity...
We define personal risk detection as the timely identification of when someone is in midst a dangerous situation, for example, health crisis or car accident, events that may jeopardize person's physical integrity. work under hypothesis risk-prone situation produces sudden and significant deviations standard physiological behavioural user patterns. These changes can be captured by group sensors, such accelerometer, gyroscope, heart rate. introduce dataset, called PRIDE, which provides...
This study introduces the One-Class K-means with Randomly-projected features Algorithm (OCKRA). OCKRA is an ensemble of one-class classifiers built over multiple projections a dataset according to random feature subsets. Algorithms found in literature spread wide range applications where ensembles have been satisfactorily applied; however, none oriented area under our study: personal risk detection. has designed aim improving detection performance problem posed by Personal RIsk...
Introduction Gamification integrates game-like elements, such as points, badges, and leaderboards, into the educational process. This study examines influence of a gamified approach on improving graphic design education. By implementing this methodology, we aim to create more dynamic learning environment that could lead better academic outcomes. Methods A quasi-experimental was employed compare students' average grades achievements using technique with those taught conventional methods....
Nowadays, Physical Web together with the increase in use of mobile devices, Global Positioning System (GPS), and Social Networking Sites (SNS) have caused users to share enriched information on such as their tourist experiences. Therefore, an area that has been significantly improved by using contextual provided these technologies is tourism. In this way, main goals work are propose develop algorithm focused recommendation Smart Point Interaction (Smart POI) for a specific user according...
The construction of intercity highways by the government has resulted in a progressive increase vehicle emissions and pollution from noise, dust, vibrations despite its recognition air menace. Efforts that have targeted roadside still do not accurately monitor deadly pollutants such as nitrogen oxides particulate matter. Reports on regional across country are based limited number fixed monitoring stations sometimes located far highway. These periodic coarse-grained measurements cause...
In this work, we present a first step towards an efficient one-class classifier well suited for mobile devices to be implemented as part of user application coupled with wearable sensors in the context personal risk detection. We compared Support Vector Machine (ocSVM) and OCKRA (One-Class K-means Randomly-projected features Algorithm). Both classifiers were tested using four versions publicly available PRIDE (Personal RIsk DEtection) dataset. The version is original dataset, which based...
Gait analysis is becoming increasingly central in various fields such as biomechanics, medicine, and sports. This complex study assesses how individuals walk, weighing on aspects like bone alignment, joint range of motion, neuro-muscular activity. Its profound importance emanates from its capability to identify potential walking anomalies at an early stage, which can offset the need for invasive medical interventions offer valuable insights clinicians make well-informed decisions....
The “HPI Future SOC Lab” is a cooperation of the Hasso Plattner Institute (HPI) and industry partners. Its mission to enable promote exchange interaction between research community partners. HPI Lab provides researchers with free charge access complete infrastructure state art hard software. This includes components, which might be too expensive for an ordinary environment, such as servers up 64 cores 2 TB main memory. offerings address particularly from but not limited areas computer...
Resumen.En este trabajo se presenta un Sistema Multiagente que busca información relevante en Sitios Web, puede ser filtrada de tal manera contribuir el enriquecimiento una ontología dirigida a la Tuberculosis México.Esta está basada, por lado, estructura Base Datos Relacional (BDR) del Nacional Mexicano Vigilancia Epidemiológica (SINAVE), estructurada; y, otro (SMA) recolecta web diferentes formas (información semiestructurada).Particularmente, los agentes recopilan distintas fuentes...
Nowadays, gait data analysis has become an ex-tremely valuable tool that, without much knowledge, provides significant support in various areas, especially medicine. This type of not only contributes to generating accurate diagnoses but also plays a fundamental role physical rehabilitation processes. To harness the potential this analysis, multimodal system is being developed with purpose enhancing storage, and synchronization multiple modules. The imperative arises from certain constraints...