Results 71 to 80 of about 23,142 (187)

Dominance and toxicity without lethality: Exploring biomass, cyanometabolites, and Daphnia responses across Cyanobacterial strains

Journal of Phycology, EarlyView.
Abstract Cyanobacteria are cosmopolitan, important components of biomass with a remarkable ability to synthesize a diverse array of bioactive compounds, some of which may have toxic effects on other organisms and ecosystems. In this study, filamentous cyanobacterial strains isolated predominantly from temperate European freshwaters (Aphanizomenon ...
Łukasz Wejnerowski, Tamara Dulić, Sultana Akter, Michał Rybak, Agnieszka Piasecka, Jakub Szymkowiak, Oskar Kamiński, Anna Czerepska, Filip Pniewski, Zorica Svirčev, Ewa Poniecka, Krzysztof Zawierucha, Katarzyna Taylor, Marcin Krzysztof Dziuba, Jussi Meriluoto   +14 more
wiley   +1 more source

Knowledge Distillation-Based GPS Spoofing Detection for Small UAV

Future Internet, 2023
As a core component of small unmanned aerial vehicles (UAVs), GPS is playing a critical role in providing localization for UAV navigation. UAVs are an important factor in the large-scale deployment of the Internet of Things (IoT) and cyber–physical ...
Yingying Ren, Ryan D. Restivo, Wenkai Tan, Jian Wang, Yongxin Liu, Bin Jiang, Huihui Wang, Houbing Song   +7 more
doaj   +1 more source

Building centaur responders: is emergency management ready for artificial intelligence?

Disasters, Volume 50, Issue 3, July 2026.
Abstract This article examines the preparedness of emergency management (EM) for addressing questions pertaining to artificial intelligence (AI), encompassing its benefits to EM missions, the potential biases, the societal impacts, and more. We pinpoint two key shortcomings in early EM research on AI: (i) insufficient discussion of both AI's history ...
Christopher Whyte, Brittany ‘Brie’ Haupt   +1 more
wiley   +1 more source

Detection of Induced GNSS Spoofing Using S-Curve-Bias

Sensors, 2019
In Global Navigation Satellite System (GNSS), a spoofing attack consists of forged signals which possibly cause the attacked receivers to deduce a false position, a false clock, or both.
Wenyi Wang, Na Li, Renbiao Wu, Pau Closas   +3 more
doaj   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

Detecting ADS-B Spoofing Attacks using Deep Neural Networks

, 2019
The Automatic Dependent Surveillance-Broadcast (ADS-B) system is a key component of the Next Generation Air Transportation System (NextGen) that manages the increasingly congested airspace.
Bernieri, Giuseppe, Bushnell, Linda, Conti, Mauro, Mazer, Joanna, Poovendran, Radha, Ying, Xuhang   +5 more
core   +1 more source

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García, Diego López Abril, Javier Bermejo Higuera, Víctor Gonzalez Llorente, Miguel Angel Sicilia Urbán   +4 more
wiley   +1 more source

PIANO: Proximity-based User Authentication on Voice-Powered Internet-of-Things Devices

, 2017
Voice is envisioned to be a popular way for humans to interact with Internet-of-Things (IoT) devices. We propose a proximity-based user authentication method (called PIANO) for access control on such voice-powered IoT devices.
Bao, Xuan, Cao, Xiaoyu, Gong, Neil Zhenqiang, Jin, Hongxia, Ozen, Altay, Shin, Richard, Song, Dawn, Wu, Yu   +7 more
core   +1 more source

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew, Md Rabiul Hasan, Tapio Seppänen, Mourad Oussalah   +3 more
wiley   +1 more source

A Satellite Navigation Spoofing Interference Detection Method Based on LSTM

智能科学与技术学报
Facing the problem of satellite navigation spoofing interference detection, this paper proposes a feature parameter selection and data processing method applicable to the detection of spoofing interference by Long Short-term Memory (LSTM) neural network.
ZHAO Shen, HUANG Wenna, QIN Yemei, LIAO Yifei, YANG Lingling   +4 more
doaj   +2 more sources