Learning from Demonstration using Hierarchical Reinforcement Learning for Robotic Skill transferability.

Deep Reinforcement Learning for Joint Cruise Control and Intelligent Data Acquisition in UAVs-Assisted Sensor Networks

Predicting the Aesthetic Outcome of Breast Cancer Treatment using Deep Learning

A Trading Agent Framework Using Plain Strategies & Machine Learning

Hierarchical classification of chromatographic profiles

Deep Learning for Market Forecasts

Whispered speech segmentation based on Deep Learning

Tool to Support Computer Architecture Teaching and Learning

Forecasting stock trends through Machine Learning

Machine Learning-based approaches for microbiome characterization in cancer

IoT and Machine Learning for Process Optimization in Agrofood Industry

Serious Game for learning about Software Architecture and Design

Tree Planter for Forest Robots

Previsão de preços de mercado baseada em Deep Learning

Avaliação Automática de Programas em Contexto de E-learning

Development of a modular anthropomorphic robotic manipulator

Cost-effective robot for steep slope crops monitoring

Realistic Digital Twin of a Dexterous Robotic Manipulator

Static transmission expansion planning using Heuristic and metaheuristic techniques

Using Causal Inference to Measure Residential Consumers Demand Response Elasticity

Model Based Testing - From requirements to tests

Classifying Medical Specialty From Unstructured Text

Carotid Lumen Segmentation using a Neural Network Approach

Decentralized Application for E-Commerce Using Blockchain and Trusted Compute

Enhancing Forecasting using Read & Write Recurrent Neural Networks

Relative location of autonomous underwater vehicles using visual markers

Secure Underwater Delay-Tolerant Communications using Distributed Ledger Techniques
Published: (2027)

Exploring the potential of DRT for elderly urban mobility using big data

Digital Model of Reconfigurable Printed IoT Nodes using ns-3
Published: (2027)

Using fuzzy sets to evaluate the performance of complex system when parameters are uncertain

Transportation management in an era of big data: from data to knowledge

Optical Character Recognition of Alphanumeric Codes of Ceramic Bowls used in Lost-wax Casting

Enhancing ML Models for Solar Weather Forecasting using Clustering and Adversarial Anomaly Detection

Wireless Underwater Broadband and Long Range Communications using Underwater Drones as Data Mules

Towards DevOps: Practices and Patterns from the Portuguese Startup Scene

A market based active/reactive dispatch including transformer taps and reactor and capacitor banks using simulated annealing

FPGA architectures for reconfigurable computing