Results 121 to 130 of about 274,921 (303)

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Neural Network Based AMP Method for Multi-User Detection in Massive Machine-Type Communication [PDF]

, 2020
Mengjiang Sun, Peng Chen
openalex   +1 more source

Practical Synchronization Waveform for Massive Machine-Type-Communications

, 2017
A general synchronization waveform type that is insensitive to frequency error for massive Internet-of-Things (mIoT) is derived in "Robust synchronization waveform design for massive low-power IoT" (IEEE Trans. on Wireless Commun., vol. 16, no. 11, pp. 7551-7559, Nov. 2017). Detailed issues such as (1) how to obtain the frequency error information from
openaire   +2 more sources

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Optimal resource allocation for two-stage connectionless access with collision detection

Tongxin xuebao, 2019
Connectionless access allows massive machine type communication (mMTC) devices to transmit small packets without establishment of radio bearers,significantly reducing device power consumption and control signaling overhead.Two-stage connectionless access
Xin JIAN, Fang WANG, Jian SONG, Shu FU, Xiaoheng TAN, Xiaoping ZENG   +5 more
doaj   +2 more sources

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

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Hybrid access control mechanism for massive machine type communications

Discover Internet of Things
Abstract Massive Machine Type Communications (mMTC) are integral to the Internet of Things (IoT) ecosystem, requiring efficient and reliable access control mechanisms to manage the enormous number of connected devices. Traditional access control schemes such as Dynamic Resource Allocation (DRA), Slotted Aloha, and Carrier Sense Multiple Access with ...
David Martin Amitu, Roseline N. Akol, Jonathan Serugunda   +2 more
openaire   +2 more sources