Results 151 to 160 of about 194,678 (236)

A Cross‐Layer Spatial–Spectral Optimization Framework for Hybrid Routing and Load‐Balanced Channel Allocation in Intelligent Networks

Engineering Reports, Volume 8, Issue 5, May 2026.
Rapid 5G/6G evolution demands cross‐layer resource management to address congestion, latency, and reliability in multi‐hop wireless networks. This paper proposes a TOHRP–LBCA framework using DSA and congestion−/topology−/interference‐aware routing and channel allocation, yielding throughput gains, lower latency, improved packet delivery, and higher ...
Emmanuel Ahatsi, Oludolapo Olanrewaju
wiley   +1 more source

Policy Capacity for Novel Technology Adoption: Developmental Insights From Singapore's AI Adoption in Long‐Term Care

Public Administration and Development, Volume 46, Issue 2, Page 253-266, May 2026.
ABSTRACT Worldwide, artificial intelligence‐driven technologies, including robotics and autonomous systems (RAS), are adopted to address manpower shortages in long‐term care. However, their effective use requires a reasonable degree of policy capacity across individual‐, organisational‐ and system‐levels.
Si Ying Tan, Lili Li, Araz Taeihagh
wiley   +1 more source

White paper on critical and massive machine type communication towards 6G [PDF]

, 2020
Alves, H., Andraud, M., Annanperä, E., Anwar, K., Bartz, H., Burkhardt, F., Böcker, S., Chen, Y., Clazzer, F., Dore, J, Garro, E., Jäntti, R., Kim, E., Kim, S.-K., Liu, C.-F., Liva, G., Lopez, O., Ma, Y., Mahmood, N.H., Mercier, E., Mikhaylov, K., Moerman, Ingrid, Munari, A., Park, G.-Y., Park, O.-S., Pragada, R., Sadi, Y., Seppänen, P., Shin, J., Wietfeld, C., Yoon, C.   +30 more
core   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach

Journal of Forensic Sciences, Volume 71, Issue 3, Page 1211-1223, May 2026.
Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
wiley   +1 more source

Preamble retransmission assisted control-based mMTC dynamic random access

物联网学报
To address the issue of severe network congestion in the scenario of massive machine-type communications (mMTC), where machine-type communication devices (MTCD) employing traditional random access schemes often encountered challenges leading to a large ...
Bin SHEN, Yan ZHANG, Changmiao LI, Yu ZENG   +3 more
doaj   +2 more sources

Wireless Communications: Signal Processing Perspectives. [PDF]

Entropy (Basel)
Roy S.
europepmc   +1 more source

Language machines: Toward a linguistic anthropology of large language models

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux, Michael Castelle, Anna Weichselbraun   +2 more
wiley   +1 more source

Nonhuman situational enmeshments—How participants build temporal infrastructures for ChatGPT

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract This paper investigates how participants recruit Large Language Models (LLMs) like ChatGPT as interactional co‐participants depending on their temporal enmeshment within an interactional flow. Using Charles Goodwin's co‐operative action framework, we analyze video data of human–AI interaction to trace the temporal structures established by ...
Nils Klowait, Maria Erofeeva
wiley   +1 more source

Discovery of the most compact 3+1-type quadruple star system TIC 120362137. [PDF]

Nat Commun
Borkovits T, Rappaport SA, Chen HL, Torres G, Mitnyan T, Kostov VB, Powell BP, Pribulla T, Zasche P, Bíró IB, Csányi I, Czavalinga DR, Dencs Z, Garai Z, Kolář J, Cagaš P, Henzl Z, Kaye T, Kučáková H, Mašek M, Uhlař R.   +20 more
europepmc   +1 more source