Results 221 to 230 of about 44,065 (274)

Preparing for Tomorrow's Teamwork: Insights From eSports on How Human Expertise Shapes Training Needs for AI‐Integrated Work

Journal of Organizational Behavior, EarlyView.
ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster, Christopher Flathmann, Jennifer Hsu, Nathan J. McNeese, Thomas A. O'Neill, Eduardo Salas   +5 more
wiley   +1 more source

A Practical Case of Monitoring Older Adults Using mmWave Radar and UWB. [PDF]

Sensors (Basel)
García-Gutiérrez G, Aparicio-Esteve E, Ureña J, Villadangos-Carrizo JM, Jiménez-Martín A, García-Domínguez JJ.   +5 more
europepmc   +1 more source

Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network. [PDF]

Sensors (Basel)
Liu Z, Li G, Wang C, Cascioli V, McCarthy PW.   +4 more
europepmc   +1 more source

Autonomous Drilling and the Idea of Next-Generation Deep Mineral Exploration. [PDF]

Sensors (Basel)
Nikolakopoulos G, Koval A, Fumagalli M, Konieczna-Fuławka M, Santas Moreu L, Vigara-Puche V, Verma K, Waard B, Deutsch R.   +8 more
europepmc   +1 more source

Indoor Positioning Systems as Critical Infrastructure: An Assessment for Enhanced Location-Based Services. [PDF]

Sensors (Basel)
Hailu TG, Guo X, Si H.
europepmc   +1 more source

Safety Integrity Level (SIL) assessment process for WSN using multi-QoS metrics. [PDF]

MethodsX
Srinivasan S, Ramesh TK, Paccapeli R.
europepmc   +1 more source

A wireless, scalable and modular EEG sensor network platform for unobtrusive brain recordings

Ding R, Hovine C, Callemeyn P, Kraft M, Bertrand A.   +4 more
europepmc   +1 more source

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Cognitive Radio Sensor Networks

2014
This chapter provides a review of design practices in network communication for Cognitive Radio Sensor Networks. The basics of networking and Medium Access Control functionalities with focus on data routing and spectrum usage are discussed. Technical differences manifest in various network layouts, hence the role of various specialized nodes, such as ...
Ejaz Ahmed, Salman Ali, Adnan Akhunzada, Ibrar Yaqoob   +3 more
  +4 more sources

Cognitive Radio Based Wireless Sensor Networks

2008 Proceedings of 17th International Conference on Computer Communications and Networks, 2008
In recent years, we have seen tremendous growth in the applications of wireless sensor networks (WSNs) operating in unlicensed spectrum bands. However, there is evidence that existing unlicensed spectrum is becoming overcrowded. On the other hand, with recent advances in cognitive radio (CR) technology, it is possible to apply the dynamic spectrum ...
Dave Cavalcanti, Sushanta Das, Jianfeng Wang, Kiran Challapali   +3 more
openaire   +1 more source

Network Layer for Cognitive Radio Sensor Networks

2014
Based on recent trends, Cognitive Radio paradigm has become an integral part of future communication networks of which Wireless Sensor Network is an integral part. However, Cognitive Radio (CR) introduces critical issues that have to be addressed for communication in networks to be achieved.
Zubair, S., Fisal, N., Abazeed, M. B., Khalid, Z., Salihu, Y. O., Salihu, B. A., AbdulAzeez, H. T., Suleiman, A.   +7 more
openaire   +1 more source