Results 131 to 140 of about 10,259 (293)

Global Attention and Mobility‐Enabled Knowledge: How Intermediate Units Gain Strategic Visibility in Multinational Corporations

Thunderbird International Business Review, EarlyView.
ABSTRACT This study examines how Intermediate Units (IUs) in multinational corporations gain the attention of corporate headquarters and subsidiaries. Using the Attention‐Based View, we show that attention depends on how visible and useful the IU's knowledge appears to other internal actors.
Jose Pla‐Barber, Ana Botella‐Andreu, Andrea Pallás‐Rocafull   +2 more
wiley   +1 more source

Router-Based bandwidth allocation on optical networks

, 2009
A detailed understanding of the many facets of the Internet's topological structure is critical for evaluating the performance of networking protocols, for assessing the effectiveness of proposed techniques to protect the network from nefarious ...
Yu, W., Zhou, J., Mahadevan, V.
core  

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

FL‐Offshore: A Federated Learning Framework for Predictive Maintenance in Brazilian Offshore Production Scenario

Artificial Intelligence for Engineering, EarlyView.
ABSTRACT Offshore oil production in Brazil relies on Floating Production Storage and Offloading (FPSO) units, where failures in rotating machinery motivate machine learning–based predictive maintenance. Centralised training is impractical due to privacy constraints, heterogeneous and highly imbalanced local datasets and unreliable satellite ...
Lucas M. Almeida, Allan S. Borges, Gustavo B. B. Figueiredo, Edson M. Cruz, Eric B. C. Barros, Maycon L. M. Peixoto   +5 more
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Static Bandwidth Allocation on Optical Networks

, 2020
. A detailed understanding of the many facets of the Internet's topological structure is critical for evaluating the performance of networking protocols, for assessing the effectiveness of proposed techniques to protect the network from nefarious ...
Hossein Rouhani Zeidanloo, Arash Habibi Lashkari, Ahmed A Sabeeh   +2 more
core  

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

Dynamic Resource Allocation Optimisation and Security‐Resilient Control for Bandwidth‐Limited Network Control Systems With Data Conflicts

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen, Kaibo Shi, Bin Guo, Kangkang Sun, Huaicheng Yan, Xiao Cai   +5 more
wiley   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 more
wiley   +1 more source

Dynamic bandwidth allocation in time division multiplexed passive optical networks: a dual-standard analysis of ITU-T and IEEE standard algorithms. [PDF]

PeerJ Comput Sci
Memon KA, Jaffer SS, Qureshi MA, Qureshi KK.   +3 more
europepmc   +1 more source