Results 91 to 100 of about 225,053 (276)

GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning

IEEE Access
genai and communication networks are expected to have groundbreaking synergies for 6G. Connecting Generative Artificial Intelligence (GenAI) agents via a wireless network can potentially unleash the power of Collective Intelligence (CI) and pave the way ...
Hang Zou, Qiyang Zhao, Samson Lasaulce, Lina Bariah, Mehdi Bennis, Merouane Debbah   +5 more
doaj   +1 more source

Incorporating Crowdsourced Data Into Operational Products: A Perspective From a National Meteorological Service

International Journal of Climatology, EarlyView.
Future advances in the fields of meteorology and climate science will require scientists to increasingly strive towards the provision of new high‐resolution services. In this context, the development of new products and services along the weather chain may greatly benefit from the adoption of second‐and‐third‐party data (23PD) as a source of high ...
Irene Garcia‐Marti, Christopher W. Brown, Alessandro Spinuso, Gijsbert Kruithof, Theo Brandsma, Jan Willem Noteboom   +5 more
wiley   +1 more source

Semantic Meta-Split Learning: A TinyML Scheme for Few-Shot Wireless Image Classification

IEEE Transactions on Machine Learning in Communications and Networking
Semantic and goal-oriented (SGO) communication is an emerging technology that only transmits significant information for a given task. Semantic communication encounters many challenges, such as computational complexity at end users, availability of data,
Eslam Eldeeb, Mohammad Shehab, Hirley Alves, Mohamed-Slim Alouini   +3 more
doaj   +1 more source

Hybrid Semantic-Shannon Communications

, 2023
<p>Recently, semantic communications have been considered as a promising beyond-Shannon paradigm to reduce network traffic and increase reliability, thus making wireless networks more energy efficient, robust, and sustainable. However, the performance is limited by the efficiency of the semantic transceivers, i.e., the achievable “similarity ...
Nikos Evgenidis, Nikos Mitsiou, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Ioannis Krikidis, George K. Karagiannidis   +5 more
openaire   +1 more source

Dynamic integration of context model constraints in web service processes [PDF]

, 2009
Autonomic Web service composition has been a challenging topic for some years. The context in which composition takes places determines essential aspects. A context model can provide meaningful composition information for services process composition. An
Bandara, Kosala Yapa, Pahl, Claus, Wang, MingXue   +2 more
core  

Visual Implied Motion in Marketing: A Dual‐Route Framework of Perceptual Persuasion

Psychology &Marketing, EarlyView.
ABSTRACT Depicting movement in static marketing stimuli, referred to as ‘implied motion’, is widely used across packaging, logos, and advertising, and multimodal brand communications. Despite growing evidence of its persuasive impact, the underlying psychological mechanisms and boundary conditions remain theoretically fragmented. This systematic review
Tianyi Zhang, Charles Spence
wiley   +1 more source

Reinforcement Learning for Secure Semantic LEO Satellite Networks: Joint Fidelity-Secrecy Power Allocation

Sensors
Semantic communications have emerged as a key paradigm for intelligent sixth-generation (6G) wireless networks, which aim to convey the meaning of information rather than accurate bit sequences.
Feifei Zhou, Xiaorong Zhu
doaj   +1 more source

When invasions go unnoticed: Public perception of the freshwater jellyfish Craspedacusta sowerbii in Europe

People and Nature, EarlyView.
Abstract Biological invasions are a major driver of biodiversity loss, yet inconspicuous or “cryptic” species often escape detection and public awareness, limiting management responses. We investigated the freshwater jellyfish Craspedacusta sowerbii, likely native to China and now present on six continents, through a 22‐month multilingual online survey
Guillaume Marchessaux, Kristína Slovák Švolíková, Barbora Števove, Ali Serhan Tarkan, Daniela Giannetto, Cristina Preda, Belma Kalamujić Stroil, Maciej K. Mańko, András Abonyi, Álmos Becz, Massimo Morpurgo, Evgeny A. Pakhomov, Levan Mumladze, Mar Bosch‐Belmar, Aino Hosia, Patricia Ventura, Jamileh Javidpour, Florian Lüskow   +17 more
wiley   +1 more source

Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth, Thomas Jerkovits, Anupama Hegde, Thomas Delamotte, Andreas Knopp   +4 more
wiley   +1 more source

SC-Diffusion: Parameter Generation for Task-Oriented Semantic Communication Systems via Conditional Diffusion Model

IEEE Transactions on Machine Learning in Communications and Networking
Task-oriented semantic communications (ToSC) has received significant attention as a promising paradigm for realizing more efficient and intelligent data services.
Yanhu Wang, Shuang Zhang, Anbang Zhang, Shuping Dang, Han Zhang, Shuaishuai Guo   +5 more
doaj   +1 more source