activity
20172023
most citedUnderstanding trained CNNs by indexing neuron selectivity

45 citations · 120 across the 17 of their papers we have counts for

collaborators

18 papers

cs.NE2023

Robust Energy Consumption Prediction with a Missing Value-Resilient Metaheuristic-based Neural Network in Mobile App Development

Seyed Jalaleddin Mousavirad, Luís A. Alexandre

Energy consumption is a fundamental concern in mobile application development, bearing substantial significance for both developers and end-users. Main objective of this research i…

cs.NE2023★ 1 cited

A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development

Seyed Jalaleddin Mousavirad, Luís A. Alexandre

Energy consumption plays a vital role in mobile App development for developers and end-users, and it is considered one of the most crucial factors for purchasing a smartphone. In a…

cs.NE2022

Metaheuristic-based Energy-aware Image Compression for Mobile App Development

Seyed Jalaleddin Mousavirad, Luís A Alexandre

The JPEG standard is widely used in different image processing applications. One of the main components of the JPEG standard is the quantisation table (QT) since it plays a vital r…

cs.CV2022

Energy-Aware JPEG Image Compression: A Multi-Objective Approach

Seyed Jalaleddin Mousavirad, Luís A. Alexandre

Customer satisfaction is crucially affected by energy consumption in mobile devices. One of the most energy-consuming parts of an application is images. While different images with…

cs.CV2022

LudVision -- Remote Detection of Exotic Invasive Aquatic Floral Species using Drone-Mounted Multispectral Data

António J. Abreu, Luís A. Alexandre, João A. Santos +1

Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance. It is being broadl…

cs.CV2021

MPF6D: Masked Pyramid Fusion 6D Pose Estimation

Nuno Pereira, Luís A. Alexandre

Object pose estimation has multiple important applications, such as robotic grasping and augmented reality. We present a new method to estimate the 6D pose of objects that improves…