Results 131 to 140 of about 96,189 (287)

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

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

Strategic Bandwidth Allocation for QoS in IoT Gateway: Predicting Future Needs Based on IoT Device Habits

IEEE Access
The Internet of Things (IoT) is evolving, driven by the increasing demand for bandwidth. A key focus is on minimizing communication delays. This paper introduces a new solution called Predictive Dynamic Bandwidth Allocation (PDBA), using adaptive ...
Imane Chakour, Cherki Daoui, Mohamed Baslam, Beatriz Sainz-De-Abajo, Begonya Garcia-Zapirain   +4 more
doaj   +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

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 ATM networks

, 2002
Includes bibliographical references.
openaire   +1 more source

Classification of Broadband Oscillations Using Wavelet Convolution and Multi‐Channel Attention Network

Energy Internet, EarlyView.
ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang, Ji Li, Yiyan Li, Yang Gao, Qingyuan Zhang, Yang Kou, Xiao Hu, WeiLe Liang   +7 more
wiley   +1 more source

Compact free‐electron lasers as enablers of beyond‐6G and quantum communication systems

Journal of Synchrotron Radiation, EarlyView.
Compact free‐electron lasers are investigated as scalable, high‐coherence light sources capable of enabling beyond‐6G and quantum communication systems through ultrafast data rates, wide spectral tunability, and high signal‐to‐noise performance.Free‐electron lasers (FELs) are disruptive light sources that offer ultrashort pulses, wide spectral ...
Thair Abdulkareem Khalil Al-Aish, Hanady Amjed Kamil   +1 more
wiley   +1 more source