28 documents found, page 1 of 3
Machine learning system for commercial banana harvesting
Hayat, Ahatsham; Baglat, Preety; Mendonça, Fábio; Mostafa, Sheikh Shanawaz; Dias, Fernando Morgado; Baglat, Preety; Silva Mendonça, Fábio Rúben<jats:title>Abstract</jats:title> <jats:p>The conventional process of visual detection and manual harvesting of the banana bunch has been a known problem faced by the agricultural industry. It is a laborious activity associated with inconsistency in the inspection and grading process, leading to post-harvest losses. Automated fruit harvesting using computer vision empowered by deep learning could significantly ...
Sentiment Analysis in Portuguese Restaurant Reviews: Application of Transformer...
Branco, Alexandre; Parada, Daniel; Silva, Marcos; Mendonça, Fábio; Mostafa, Sheikh Shanawaz; Dias, Fernando MorgadoThis study focuses on improving sentiment analysis in restaurant reviews by leveraging transfer learning and transformer-based pre-trained models. This work evaluates the suitability of pre trained deep learning models for analyzing Natural Language Processing tasks in Portuguese. It also explores the viability of utilizing edge devices for Natural Language Processing tasks, considering their computational limi...
Sleep Analysis by Evaluating the Cyclic Alternating Pattern A Phases
Alves, Arturo; Mendonça, Fábio; Mostafa, Sheikh Shanawaz; Dias, Fernando MorgadoSleep is a complex process divided into different stages, and a decrease in sleep quality can lead to adverse health-related effects. Therefore, diagnosing and treating sleep-related conditions is crucial. The Cyclic Alternating Pattern (CAP) is an indicator of sleep instability and can assist in assessing sleep-related disorders such as sleep apnea. However, manually detecting CAP-related events is time-consum...
Noncontact Automatic Water-Level Assessment and Prediction in an Urban Water St...
Mendonça, Fabio; Mostafa, Sheikh Shanawaz; Dias, Fernando Morgado; Azevedo, Joaquim Amândio; Ravelo-García, Antonio G.; Navarro-Mesa, Juan L.Traditional methods for water-level measurement usually employ permanent structures, such as a scale built into the water system, which is costly and laborious and can wash away with water. This research proposes a low-cost, automatic water-level estimator that can appraise the level without disturbing water flow or affecting the environment. The estimator was developed for urban areas of a volcanic island wate...
Towards automatic EEG cyclic alternating pattern analysis: a systematic review
Mendonça, Fábio; Mostafa, Sheikh Shanawaz; Dias, Fernando Morgado; Ravelo-García, Antonio G.; Rosenzweig, IvanaThis study conducted a systematic review to determine the feasibility of automatic Cyclic Alternating Pattern (CAP) analysis. Specifically, this review followed the 2020 Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines to address the formulated research question: is automatic CAP analysis viable for clinical applica tion? From the identified 1,280 articles, the review inclu...
Automated Aviation Wind Nowcasting: Exploring Feature-Based Machine Learning Me...
Alves, Décio; Mendonça, Fábio; Mostafa, Sheikh Shanawaz; Dias, Fernando MorgadoWind factors significantly influence air travel, and extreme conditions can cause operational disruptions. Machine learning approaches are emerging as a valuable tool for predicting wind pat terns. This research, using Madeira International Airport as a case study, delves into the effectiveness of feature creation and selection for wind nowcasting, focusing on predicting wind speed, direction, and gusts. Data f...
Graphical User Interface for the Development of Probabilistic Convolutional Neu...
Chaves, Aníbal; Mendonça, Fábio; Mostafa, Sheikh Shanawaz; Dias, Fernando MorgadoThrough the development of artificial intelligence, some capabilities of human beings have been replicated in computers. Among the developed models, convolutional neural networks stand out considerably because they make it possible for systems to have the inherent capabilities of humans, such as pattern recognition in images and signals. However, conventional methods are based on deterministic models, which can...
Visual Explanations of Deep Learning Architectures in Predicting Cyclic Alterna...
Gupta, Ankit; Mendonça, Fabio; Mostafa, Sheikh Shanawaz; Ravelo-García, Antonio G.; Dias, Fernando Morgado: Cyclic Alternating Pattern (CAP) is a sleep instability marker defined based on the ampli tude and frequency of the electroencephalogram signal. Because of the time and intensive process of labeling the data, different machine learning and automatic approaches are proposed. However, due to the low accuracy of the traditional approach and the black box approach of the machine learning approach, the proposed sy...
Novel Comparative Study for the Detection of COVID-19 Using CT Scan and Chest X...
Hayat, Ahatsham; Baglat, Preety; Mendonça, Fábio; Mostafa, Sheikh Shanawaz; Dias, Fernando MorgadoThe number of coronavirus disease (COVID-19) cases is constantly rising as the pandemic continues, with new variants constantly emerging. Therefore, to prevent the virus from spreading, coronavirus cases must be diagnosed as soon as possible. The COVID-19 pandemic has had a devastating impact on people’s health and the economy worldwide. For COVID-19 detection, reverse transcription-polymerase chain reaction te...
Non-Destructive Banana Ripeness Detection Using Shallow and Deep Learning: A Sy...
Baglat, Preety; Hayat, Ahatsham; Mendonça, Fábio; Gupta, Ankit; Mostafa, Sheikh Shanawaz; Dias, Fernando MorgadoThe ripeness of bananas is the most significant factor affecting nutrient composition and demand. Conventionally, cutting and ripeness analysis requires expert knowledge and substantial human intervention, and different studies have been conducted to automate and substantially reduce human effort. Using the Preferred Reporting Items for the Systematic Reviews approach, 1548 studies were extracted from journals ...