Results 11 to 20 of about 12,936,285 (295)

AI-Enabled UAV Communications: Challenges and Future Directions

IEEE Access, 2022
Recently, unmanned aerial vehicles (UAVs) communications gained significant concentration as a talented technology for future wireless communications using its remarkable advantages and broad applicability.
Amira O. Hashesh, Sherief Hashima, Rokaia M. Zaki, Mostafa M. Fouda, Kohei Hatano, Adly S. Tag Eldien   +5 more
doaj   +1 more source

Proceedings of the 2022 CLASP Conference on (Dis)embodiment [PDF]

, 2022
Dis)embodiment brings together researchers from several areas examining the role of grounding and embodiment in modelling human language and behaviour – or limits thereof.

core   +1 more source

Reconfigurable intelligent surface‐aided millimetre wave communications utilizing two‐phase minimax optimal stochastic strategy bandit

IET Communications, 2022
Millimetre wave (mmWave) communications, that is, 30 to 300 GHz, have intermittent short‐range transmissions, so the use of reconfigurable intelligent surface (RIS) seems to be a promising solution to extend its coverage. However, optimizing phase shifts
Ehab Mahmoud Mohamed, Sherief Hashima, Nasreen Anjum, Kohei Hatano, Walid El Shafai, Basem M. Elhalawany   +5 more
doaj   +1 more source

Gateway Selection in Millimeter Wave UAV Wireless Networks Using Multi-Player Multi-Armed Bandit

Sensors, 2020
Recently, unmanned aerial vehicle (UAV)-based communications gained a lot of attention due to their numerous applications, especially in rescue services in post-disaster areas where the terrestrial network is wholly malfunctioned. Multiple access/gateway
Ehab Mahmoud Mohamed, Sherief Hashima, Abdallah Aldosary, Kohei Hatano, Mahmoud Ahmed Abdelghany   +4 more
doaj   +1 more source

Proceedings of the 2023 CLASP Conference on Learning with Small Data [PDF]

, 2023
The purpose of our conference is to bring together researchers from several areas of NLP, addressing datasets, methods and limits of effective (machine) learning with small data containing natural language and associated multi-modal information.

core  

Theory-driven computational models of drug addiction in humans: Fruitful or futile?

Addiction Neuroscience, 2023
Maladaptive behavior in drug addiction is widely regarded as a result of neurocognitive dysfunctions. Recently, there has been a growing trend to adopt computational methods to study these dysfunctions in drug-addicted patients, not least because it ...
Tsen Vei Lim, Karen D Ersche
doaj   +1 more source

Computational reinforcement learning, reward (and punishment), and dopamine in psychiatric disorders

Frontiers in Psychiatry, 2022
In the DSM-5, psychiatric diagnoses are made based on self-reported symptoms and clinician-identified signs. Though helpful in choosing potential interventions based on the available regimens, this conceptualization of psychiatric diseases can limit ...
Brittany Liebenow, Brittany Liebenow, Rachel Jones, Rachel Jones, Emily DiMarco, Emily DiMarco, Jonathan D. Trattner, Jonathan D. Trattner, Joseph Humphries, Joseph Humphries, L. Paul Sands, L. Paul Sands, Kasey P. Spry, Kasey P. Spry, Christina K. Johnson, Evelyn B. Farkas, Angela Jiang, Kenneth T. Kishida, Kenneth T. Kishida, Kenneth T. Kishida, Kenneth T. Kishida   +20 more
doaj   +1 more source

A Computational Theory of Learning Causal Relationships [PDF]

Cognitive Science, 1991
I present a cognitive model of the human ability to acquire causal relationships. I report on experimental evidence demonstrating that human learners acquire accurate causal relationships more rapidly when training examples are consistent with a general theory of causality.
openaire   +4 more sources

Reliability of Decision-Making and Reinforcement Learning Computational Parameters

Computational Psychiatry, 2023
Computational models can offer mechanistic insight into cognition and therefore have the potential to transform our understanding of psychiatric disorders and their treatment.
Anahit Mkrtchian, Vincent Valton, Jonathan P. Roiser   +2 more
doaj   +1 more source

Budgeted Bandits for Power Allocation and Trajectory Planning in UAV-NOMA Aided Networks

Drones, 2023
On one hand combining Unmanned Aerial Vehicles (UAVs) and Non-Orthogonal Multiple Access (NOMA) is a remarkable direction to sustain the exponentially growing traffic requirements of the forthcoming Sixth Generation (6G) networks.
Ramez Hosny, Sherief Hashima, Ehab Mahmoud Mohamed, Rokaia M. Zaki, Basem M. ElHalawany   +4 more
doaj   +1 more source