Suchergebnisse - "João P. Matos-Carvalho"

Text clustering with large language model embeddings

Autoren: Alina Petukhova João P. Matos-Carvalho Nuno Fachada

Quelle: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 100-108 (2025)

Schlagwörter: I.7.m, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Artificial Intelligence, I.2.6, Science, I.2.7, QA75.5-76.95, Text summarisation, Machine Learning (cs.LG), Text clustering, Artificial Intelligence (cs.AI), Electronic computers. Computer science, Large language models, 68T50 (Primary), 62H30 (Secondary), Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2403.15112
https://doaj.org/article/0d07ddd5e301430f8c147693d73f9264

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Autoren: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Quelle: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Schlagwörter: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

Future UAV/Drone Systems for Intelligent Active Surveillance and Monitoring.

Autoren: Ahmad, Tazeem Morel, Alicia Cheng, Nuo et al.

Quelle: ACM Computing Surveys; Feb2026, Vol. 58 Issue 2, p1-37, 37p

Schlagwörter: DRONE aircraft control systems, POLICE surveillance, DRONE warfare

Sensor-Based Yield Prediction in Durum Wheat Under Semi-Arid Conditions Using Machine Learning Across Zadoks Growth Stages.

Autoren: Rufaioğlu, Süreyya Betül Bilgili, Ali Volkan Savaşlı, Erdinç et al.

Quelle: Remote Sensing; Jul2025, Vol. 17 Issue 14, p2416, 27p

Schlagwörter: DURUM wheat, MACHINE learning, FORECASTING, AGRICULTURAL forecasts, CROP development, ARID regions, METADATA, DECISION support systems

A Brief Perspective on Deep Learning Approaches for 2D Semantic Segmentation.

Autoren: Sulemane, Shazia Fachada, Nuno Matos-Carvalho, João P.

Quelle: Eng (2673-4117); Jul2025, Vol. 6 Issue 7, p165, 32p

Schlagwörter: DEEP learning, IMAGE segmentation, MODEL validation, ARTIFICIAL neural networks, MACHINE learning

Deep learning in time series forecasting with transformer models and RNNs.

Autoren: Santos, Rogerio Pereira dos Matos-Carvalho, João P. Leithardt, Valderi R. Q.

Quelle: PeerJ Computer Science; Jul2025, p1-30, 30p

Schlagwörter: TRANSFORMER models, RECURRENT neural networks, WEATHER forecasting, ARTIFICIAL intelligence, DEEP learning, FORECASTING, ARTIFICIAL neural networks, PREDICTION models

DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 Generate Correct Code for LoRaWAN-Related Engineering Tasks.

Autoren: Fernandes, Daniel Matos-Carvalho, João P. Fernandes, Carlos M. et al.

Quelle: Electronics (2079-9292); Apr2025, Vol. 14 Issue 7, p1428, 24p

Schlagwörter: LANGUAGE models, GENERATIVE pre-trained transformers, GENERATING functions, RESEARCH questions, NATURAL languages

LSTM Gate Disclosure as an Embedded AI Methodology for Wearable Fall-Detection Sensors †.

Autoren: Correia, Sérgio D. Roque, Pedro M. Matos-Carvalho, João P.

Quelle: Symmetry (20738994); Oct2024, Vol. 16 Issue 10, p1296, 22p

Schlagwörter: ARTIFICIAL intelligence, WIRELESS sensor networks, SOFT computing, WEARABLE technology, OLDER people

Generic FPGA Pre-Processing Image Library for Industrial Vision Systems.

Autoren: Ferreira, Diogo Moutinho, Filipe Matos-Carvalho, João P. et al.

Quelle: Sensors (14248220); Sep2024, Vol. 24 Issue 18, p6101, 17p

Schlagwörter: VHDL (Computer hardware description language), INDUSTRIALISM, COMPUTER vision, GATE array circuits, IMAGE processing

Autonomous UAS-Based Agriculture Applications: General Overview and Relevant European Case Studies.

Autoren: Merz, Mariann Pedro, Dário Skliros, Vasileios et al.

Quelle: Drones (2504-446X); May2022, Vol. 6 Issue 5, pN.PAG-N.PAG, 21p

A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks.

Autoren: ZHISHU SHEN JIONG JIN CHENG TAN et al.

Quelle: ACM Computing Surveys; Jan2024, Vol. 56 Issue 1, p1-40, 40p

Schlagwörter: EDGE computing, DEEP learning, ARTIFICIAL intelligence, REAL-time computing, INFORMATION technology, SCIENCE conferences, ARTIFICIAL neural networks

Autonomous Environment Generator for UAV-Based Simulation.

Autoren: Nakama, Justin Parada, Ricky Matos-Carvalho, João P. et al.

Quelle: Applied Sciences (2076-3417); Mar2021, Vol. 11 Issue 5, p2185, 18p

Schlagwörter: MACHINE learning, REMOTE-sensing images, DEEP learning, ON-site evaluation, ARTIFICIAL intelligence

Vineyard Gap Detection by Convolutional Neural Networks Fed by Multi-Spectral Images.

Autoren: Sulemane, Shazia Matos-Carvalho, João P. Pedro, Dário et al.

Quelle: Algorithms; Dec2022, Vol. 15 Issue 12, p440, 23p

Schlagwörter: CONVOLUTIONAL neural networks, MULTISPECTRAL imaging, DRONE aircraft, VINEYARDS

FFAU—Framework for Fully Autonomous UAVs.

Autoren: Pedro, Dário Matos-Carvalho, João P. Azevedo, Fábio et al.

Quelle: Remote Sensing; Nov2020, Vol. 12 Issue 21, p3533-3533, 1p

Schlagwörter: DRONE aircraft, DRIVERLESS cars, REMOTE control, DEEP learning, FLIGHT testing

How to Build a 2D and 3D Aerial Multispectral Map?—All Steps Deeply Explained.

Autoren: Vong, André Matos-Carvalho, João P. Toffanin, Piero et al.

Quelle: Remote Sensing; Aug2021, Vol. 13 Issue 16, p3227-3227, 1p

Schlagwörter: DIGITAL images, AERIAL surveys, MULTISPECTRAL imaging, THERMOGRAPHY, IMAGE registration, COMPUTER performance, ELEVATING platforms

Collision Avoidance on Unmanned Aerial Vehicles Using Neural Network Pipelines and Flow Clustering Techniques.

Autoren: Pedro, Dário Matos-Carvalho, João P. Fonseca, José M. et al.

Quelle: Remote Sensing; Jul2021, Vol. 13 Issue 13, p2643-2643, 1p

Schlagwörter: DRONE aircraft, DEEP learning, OBSTACLE avoidance (Robotics), IMAGE sensors, ARTIFICIAL intelligence, PIPELINE transportation

Technological Innovation for AI-Powered Cyber-Physical Systems

Autoren: Luis M. Camarinha-Matos Filipa Ferrada

Resource Type: eBook.

Categories: COMPUTERS / Hardware / General

Technological Innovation for Human-Centric Systems

Autoren: Luis M. Camarinha-Matos Filipa Ferrada

Resource Type: eBook.

Schlagworte: Computer engineering, Computer networks, Artificial intelligence

Categories: COMPUTERS / Hardware / General, COMPUTERS / Artificial Intelligence / General

Videogame Sciences and Arts

Autoren: Liliana Vale Costa Nelson Zagalo Ana Isabel Veloso et al.

Resource Type: eBook.

Schlagworte: Video games--Design--Congresses, Video games--Congresses

Categories: COMPUTERS / Human-Computer Interaction (HCI), COMPUTERS / Business & Productivity Software / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Software Development & Engineering / General, COMPUTERS / User Interfaces

Intelligent Computing : Proceedings of the 2022 Computing Conference, Volume 1

Autoren: Kohei Arai

Resource Type: eBook.

Schlagworte: Computational intelligence, Telecommunication

Categories: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Telecommunications