All Outputs (8)

Generating real-world-like labelled synthetic datasets for construction site applications (2023)
Journal Article

Having synthetic image generation and automatic labelling as two separate processes remains one of the main limitations of automatic generation of large real-world synthetic datasets. To overcome this drawback, a methodology to perform both tasks in... Read More about Generating real-world-like labelled synthetic datasets for construction site applications.

A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways (2022)
Journal Article

The construction of intercity highways by the government has resulted in a progressive increase in vehicle emissions and pollution from noise, dust, and vibrations despite its recognition of the air pollution menace. Efforts that have targeted roadsi... Read More about A scalable deep learning system for monitoring and forecasting pollutant concentration levels on UK highways.

Rainfall Prediction: A Comparative Analysis of Modern Machine Learning Algorithms for Time-Series Forecasting (2021)
Journal Article

Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood forecasting and monitoring of pollutant concentration levels, among others. Existing models use complex statis... Read More about Rainfall Prediction: A Comparative Analysis of Modern Machine Learning Algorithms for Time-Series Forecasting.

Monitoring student activities with smartwatches: On the academic performance enhancement (2019)
Journal Article

Motivated by the importance of studying the relationship between habits of students and their academic performance, daily activities of undergraduate participants have been tracked with smartwatches and smartphones. Smartwatches collect data together... Read More about Monitoring student activities with smartwatches: On the academic performance enhancement.

Towards an efficient one-class classifier for mobile devices and wearable sensors on the context of personal risk detection (2018)
Journal Article

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 a user application coupled with wearable sensors in the context of personal risk detection. We compared one-cl... Read More about Towards an efficient one-class classifier for mobile devices and wearable sensors on the context of personal risk detection.

HyRA: A hybrid recommendation algorithm focused on smart POI. Ceutí as a study scenario (2018)
Journal Article

Nowadays, Physical Web together with the increase in the use of mobile devices, Global Positioning System (GPS), and Social Networking Sites (SNS) have caused users to share enriched information on the Web such as their tourist experiences. Therefore... Read More about HyRA: A hybrid recommendation algorithm focused on smart POI. Ceutí as a study scenario.

Ensemble of one-class classifiers for personal risk detection based on wearable sensor data (2016)
Journal Article

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 of a dataset according to random feature subsets. Algorithms found in the li... Read More about Ensemble of one-class classifiers for personal risk detection based on wearable sensor data.

Online personal risk detection based on behavioural and physiological patterns (2016)
Journal Article

We define personal risk detection as the timely identification of when someone is in the midst of a dangerous situation, for example, a health crisis or a car accident, events that may jeopardize a person’s physical integrity. We work under the hypot... Read More about Online personal risk detection based on behavioural and physiological patterns.