Results 41 to 50 of about 18,329 (166)

Using customs data to understand overlooked trade in non‐CITES birds between Africa and Asia

Conservation Biology, EarlyView.
Abstract The international trade in live birds poses risks to animals, people, and biodiversity. To effectively mitigate these risks, decision‐makers require information on the volume, dynamics, and direction of trade. Despite Africa once being the largest exporter of birds by region, very little data exist on recent trade in live birds not listed on ...
Alisa Davies, Astrid A. Andersson, Rowan O. Martin, Sam Inglis, Caroline Dingle   +4 more
wiley   +1 more source

物理-数据-知识混合驱动的人机混合增强智能系统管控方法

智能科学与技术学报, 2022
当代系统认知、管理与控制的核心理论、方法与技术已经转移到大数据和人工智能技术上，这导致当前人工智能技术条件局限与复杂系统认知、管理、控制的需求之间形成了一道鸿沟。因此，现实的需求催生了人工智能的一种新型形态——人机混合增强智能形态，即人类智能与机器智能协同贯穿于系统认知、管理、控制等过程的始终，人类的认知和机器智能认知互相混合，形成增强型的智能形态，这种形态是人工智能或机器智能可行的、重要的成长模式。提出了一种物理-数据-知识混合驱动的人机混合增强智能系统管控方法。从可信分布式数据、计算和算法 ...
张俊, 许沛东, 陈思远, 高天露, 戴宇欣, 张科, 赵杭, 高杰迈, 白昱阳, 李金星, 张浩然, 李湘, 陈玖香   +12 more
doaj  

Few-shot cybersecurity event detection method by data augmentation with prompting question answering [PDF]

The cybersecurity field lacks sufficient annotated data for event recognition, and the scenarios and semantics are complex, making it difficult to construct accurate event recognition models.
BAI Qingchun, CHEN Qingli, GUO Yuanbo, TANG Mengmeng, ZHANG Bowen, ZHANG Han   +5 more
core   +1 more source

Multi-feature fusion classification method for communication specific emitter identification [PDF]

, 2021
A multi-feature fusion classification method based on multi-channel transform projection, integrated deep learning and generative adversarial network (GAN) was proposed for communication specific emitter identification.First, three-dimensional feature ...
Shuai HOU, Wancheng ZHANG, Yan ZHANG, Zunwen HE   +3 more
core   +1 more source

Providing regular and frequent maps of losses and gains of farmland birds based on European monitoring data

Conservation Biology, EarlyView.
Abstract Knowledge of species distributions is essential for informing policies on nature conservation and restoration. However, updating them on a regular basis and doing so in a harmonized manner at the international level is difficult. The European Bird Census Council integrated national monitoring data covering 5 years to update farmland bird ...
Sergi Herrando, Guillem Pocull, Sara Fraixedas, Anna Gamero, David Martí, Oriol Solà, Dani Villero, Verena Keller, Petr Voříšek, Alena Klvaňová, Gabriel Gargallo, Vitalie Ajder, Marc Anton, Ainars Aunins, Dawn Balmer, Mattia Brambilla, Tomasz Chodkiewicz, Przemysław Chylarecki, Cristi Domșa, Vlatka Dumbović Mazal, Virginia Escandell, Néstor Fernández, Ruud Foppen, Juan Gallego‐Zamorano, Carlos Godinho, Irene Guerrero, Christina Ieronymidou, Frédéric Jiguet, Aleksi Lehikoinen, Primož Kmecl, Peter Knaus, Lechosław Kuczyński, Åke Lindström, Qenan Maxhuni, Blas Molina, Jean‐Yves Paquet, Maria Luisa Paracchini, Danae Portolou, Draženko Z. Rajković, Dimitrije Radišić, Jiří Reif, Paul Shimmings, Henk Sierdsema, Jovica Sjeničić, Karel Šťastný, Bård G. Stokke, Nicolas Strebel, Zoltán D. Szabó, Tibor Szép, Norbert Teufelbauer, Nicolas Titeux, Sven Trautmann, Judit Veres‐Szászkac, Thomas Vikstrøm, Lluís Brotons   +54 more
wiley   +1 more source

Emerging applications of large language models in ecology and conservation science

Conservation Biology, EarlyView.
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides, Hao Gu, Thilina S. Nimalrathna, Naufal Rahman Avicena, Harris Papadopoulos, Ahimsa Campos‐Arceiz   +5 more
wiley   +1 more source

电力骨干通信网中告警预测方法研究

Guangtongxin yanjiu, 2019
电力骨干通信网中告警信息的及时高效处理能够为故障处置提供先机。利用人工智能技术,基于历史数据可以预测告警的发生,完备的数据集是成功实现预测的基本条件。在现实网络中采集的数据往往有分布不均匀、数据缺失等问题,如何构建完备的数据集是基于人工智能技术实现电力骨干通信网中告警预测的一个关键问题。文章提出了一种针对电力骨干通信网中告警预测的数据预处理方法,采用数据增强技术完成了数据的类均衡,使得最终的数据集符合模型输入的数据尺寸。仿真结果表明 ...
刘军, 王颖, 张冰, 闫伯元, 赵永利   +4 more
doaj  

Image tampering localization model for intensive post-processing scenarios [PDF]

Addressing the challenges of blurred or destroyed tampering traces presented by lossy operations such as image compression and scaling on images within social platforms like WeChat and Weibo, an adversarial image tampering localization model was ...
HUANG Jiwu, LIAO Guiying, PENG Rongxuan, TAN Shunquan   +3 more
core   +1 more source

Learner‐Focused Strategy Instruction From the Teachers’ and the Learners’ Perspective

International Journal of Applied Linguistics, EarlyView.
ABSTRACT Numerous large‐scale quantitative studies have been conducted to yield a macro‐level picture of the effectiveness of strategy instruction. However, little is understood about learners' actual processing of strategy instruction and interaction with the teachers delivering it.
Isobel Kai‐Hui Wang, Andrew D. Cohen
wiley   +1 more source

The Role of Language Dominance in Congruency Effects on Multi‐Word Unit Processing: Evidence From Early Bilinguals

International Journal of Applied Linguistics, EarlyView.
ABSTRACT This study investigates how the learner‐related factors of language dominance, encompassing language history, proficiency, use, and attitude, modulate congruency effects in multi‐word unit (MWU) processing among early bilinguals. Seventy Cantonese–Putonghua bilinguals completed lexical decision tasks measuring reaction time and accuracy for ...
Mingjia Cai, Yuan Liang
wiley   +1 more source