Results 61 to 70 of about 32,172 (264)

Optimizing Cooperative Cognitive Radio Networks with Opportunistic Access

Journal of Computer Networks and Communications, 2012
Optimal resource allocation for cooperative cognitive radio networks with opportunistic access to the licensed spectrum is studied. Resource allocation is based on minimizing the symbol error rate at the receiver.
Ammar Zafar, Mohamed-Slim Alouini, Yunfei Chen, Redha M. Radaydeh   +3 more
doaj   +1 more source

Radio Resource Allocation for Achieving Ultra-Low Latency in Fog Radio Access Networks

IEEE Access, 2018
Fog radio access network (F-RAN) has the significant advantages of local radio signal processing, cooperative radio resource management, and distributed storage capability to tackle the massive users demand at the edge.
G. M. Shafiqur Rahman, Mugen Peng, Kecheng Zhang, Shanzhi Chen   +3 more
doaj   +1 more source

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

FEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes, Maria X. Isaksen, Frida Julbø, Manohar Pradhan, Andreas Kleppe, Sepp De Raedt, Ole‐Johan Skrede, Turid Torheim, John Arne Nesheim, Hans Martin Mohn, Hanne A. Askautrud, Karolina Cyll, Wanja Kildal, Emma Rewcastle, Melinda Lillesand, Vebjørn Kvikstad, Emiel Janssen, Robert Jones, Odd Terje Brustugun, Bjørn Brennhovd, Erik Skaaheim Haug, Lill‐Tove Rasmussen Busund, Elin Richardsen, Sigve Andersen, Tom Dønnem, Kristina Lindemann, Gunnar Kristensen, Neil A. Shepherd, Marco Novelli, Knut Liestøl, David Kerr, Håvard E. Danielsen, Tarjei S. Hveem   +32 more
wiley   +1 more source

RETRACTED ARTICLE: Intelligent dynamic spectrum access using fuzzy logic in cognitive radio networks

Discover Applied Sciences
Cognitive radio networks have emerged as a promising solution to the growing problem of spectrum scarcity and inefficient spectrum utilization. By enabling secondary users to opportunistically access underutilized frequency bands while avoiding harmful ...
K. Krishna Kishore, Arun Sekar Rajasekaran, Ismail Keshta, Haewon Byeon, Mohammed Wasim Bhatt, Azeem Irshad, Isaac Ofori   +6 more
doaj   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

An Overview of Flexible Spectrum Management Approaches for 6G

IEEE Access
6G networks will operate on a wider range of frequencies and channel sizes compared to previous generations of cellular networks. Using multiple frequency bands to ensure seamless connectivity, increased capacity, and improved spectral efficiency ...
Hannu Flinck, Tanesh Kumar, Prasidh Ramabadran, Efstathios Katranaras, Luis G. Uzeda Garcia, Iman Hmedoush, M. Sayed Hassan, Mikhail Wilhelm, S. Meyer, Christian Drewes, Petri Mahonen   +10 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Generalization in Reinforcement Learning for Radio Access Networks

IEEE Transactions on Machine Learning in Communications and Networking
Modern radio access networks (RANs) operate in highly dynamic and heterogeneous environments, where hand-tuned, rule-based radio resource management (RRM) algorithms frequently underperform.
Burak Demirel, Yu Wang, Cristian Tatino, Pablo Soldati   +3 more
doaj   +1 more source

Performance enhancement of steady-state Markov analysis for cognitive radio networks via channel reservation

Alexandria Engineering Journal, 2017
Cognitive radio wireless networks CRNs have been considered as an efficient communication paradigm to the utilization of scarce spectrum. The main purpose of channel reservation of dynamic spectrum access (DSA) is to access these idle channels ...
Nehal M. El Azaly, Ehab F. Badran, M.R.M. Rizk, M. Amr Mokhtar   +3 more
doaj   +1 more source