Results 121 to 130 of about 229 (211)

A Review on the Development and Key Technologies of Embodied Intelligent Industrial Robots in Smart Manufacturing

SmartBot, EarlyView.
Conventional industrial robots rely on predefined workflows and struggle to adapt to changing tasks and uncertain manufacturing environments. This review examines the development and key technologies of embodied intelligent industrial robots (EIIRs), highlighting a closed‐loop architecture that integrates human and industrial inputs, embodied ...
Jie Wang, Mingsheng Li, Yiming Jiang, Hui Zhang, Zhiqiang Miao, Weixing Peng, He Xie, Yaonan Wang   +7 more
wiley   +1 more source

Integrating Artificial Intelligence With PPE: A Smart Boiler Suit Framework for Maritime Survey Applications

Safety Science and Technology, EarlyView.
This paper introduces a conceptual framework for an AI‐enhanced smart boiler suit, shifting maritime surveyor safety from reactive to proactive monitoring. Through integrated sensor networks and edge AI analytics, the proposed architecture offers a robust modular roadmap for advancing intelligent personal protective equipment in hazardous offshore and ...
P. Katsinellos, A. Gotsopoulos, A. Chatzopoulos, N. Gerolimos, G. Priniotakis   +4 more
wiley   +1 more source

Differences in mammal community response to highway construction across different levels of human land use

Wildlife Biology, EarlyView.
Worldwide, transportation agencies have been involved in road mitigation efforts to reduce road mortality and promote connectivity of endangered species. Baseline data on how mammals respond to highway construction, however, are rarely collected in road mitigation and monitoring studies, including in the USA.
Thomas J. Yamashita, Jason V. Lombardi, Zachary M. Wardle, Michael E. Tewes, John H. Young   +4 more
wiley   +1 more source

A Survey of Copyright Protection and Trustworthy Provenance for Generative Images

Tongxin xuebao
Copyright protection for generative images now extends beyond final outputs to training data, model parameters, generation processes, and provenance credentials.
Wang Hailong, Tan Wuzheng, Zhang Zixin
doaj  

Space and resource use by American crow Corvus brachyrhynchos in an area endemic for chronic wasting disease

Wildlife Biology, EarlyView.
American crow Corvus brachyrhynchos is a common species throughout North America. Crows play a role in the ecology of multiple diseases and a single laboratory experiment has shown the potential for crows to pass infectious prions, such as those associated with chronic wasting disease (CWD), in their feces after being force‐fed with infected material ...
Tyler S. Walters, Kurt C. VerCauteren, W. David Walter   +2 more
wiley   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

LLM‐Powered Data Synthesis on Blockchain for Fusion Isomerism Learning in Heterogeneous Federated Systems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Severe data starvation, architectural heterogeneity and Byzantine vulnerabilities fundamentally impede the deployment of robust multiclass classification models in decentralised edge environments. To address these intertwined challenges, we propose fusion isomerism learning (FusionIL), a secure and domain‐agnostic framework that ...
Zhihao Hao, Longbing Cao, Han Yu, Xiaoqiang Teng, Guancheng Wang, Chuanbin Zhang   +5 more
wiley   +1 more source

Belowground effects of ground‐dwelling large herbivores in forest ecosystems

Journal of Animal Ecology, EarlyView.
This study reviews how ground‐dwelling large herbivores affect forest soil and litter globally. Effects are context‐dependent, vary among species and forest types, and remain poorly studied in tropical forests, highlighting critical gaps in understanding nutrient cycling and ecosystem functioning.
Letícia Gonçalves Ribeiro, Mateus Melo‐Dias, Beatriz Maria Paccas Saraiva, Nacho Villar, Mauro Galetti   +4 more
wiley   +1 more source