Results 41 to 50 of about 26,386 (211)
Remote Sensing in Ecology and Conservation, EarlyView.This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity +8 more
wiley +1 more source
Maskana, 2015 RESUMEN En el presente artículo se muestra en aplicaciones reales el potencial y la versatilidad de la tecnología de Radio Definido por Software (RDS), para ello, se presenta el desarrollo de diferentes sistemas de comunicaciones de bajo costo ...
Santiago Romero +3 more
doaj
Wildlife Biology, EarlyView.This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin +4 more
wiley +1 more source
Telfor Journal, 2015 The cognitive radio technology allows solving one of the main issues of current wireless communication technologies, namely a deficit of vacant spectrum.
D. Lekomtcev, R. Marsalek
doaj +1 more source
Revista Principia, 2019 This paper presents an architecture proposal for a spectrum sensing network using software defined radios. The radios responsible for the sensing are implemented with SDR-RTL, a low-cost radio, capable of receiving signals from several frequency bands ...
Yngrid Keila Silva Cabral +2 more
doaj +1 more source
Implementación de estación base GSM recepción de señales LTE aplicando radio definido por software
Iteckne, 2020 Santo Tomás University does not currently have the entire telecommunications infrastructure that allows its students to perform laboratory practices in the area of mobile telephony.
Gustavo Alonso Chica-Pedraza +3 more
doaj +1 more source
UAV Air-to-Ground Channel Characterization for mmWave Systems
, 2017 Communication at mmWave bands carries critical importance for 5G wireless networks. In this paper, we study the characterization of mmWave air-to-ground (AG) channels for unmanned aerial vehicle (UAV) communications.
Guvenc, Ismail +2 more
core +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li +5 more
wiley +1 more source
Deep Neural Network Architectures for Modulation Classification
, 2018 In this work, we investigate the value of employing deep learning for the task of wireless signal modulation recognition. Recently in [1], a framework has been introduced by generating a dataset using GNU radio that mimics the imperfections in a real ...
Gamal, Aly El, Liu, Xiaoyu, Yang, Diyu
core +1 more source
A Probability‐Aware AI Framework for Reliable Anti‐Jamming Communication
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Adversarial jamming attacks have increased on communication systems, causing distortion and threatening transmissions. Typical attacks rely on traditional, well‐defined cryptographic protocols and frequency‐hopping techniques. Nevertheless, these techniques become vulnerable when facing intelligent jammers.
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley +1 more source