Results 111 to 120 of about 56,822 (237)

End-to-End Power Models for 5G Radio Access Network Architectures with a Perspective on 6G

Mathematics
5G, the fifth-generation mobile network, is predicted to significantly increase the traditional trajectory of energy consumption. It now uses four times as much energy as 4G, the fourth-generation mobile network.
Bhuvaneshwar Doorgakant, Tulsi Pawan Fowdur, Mobayode O. Akinsolu   +2 more
doaj   +1 more source

Projected 21st Century Changes in Precipitation and Temperature Over Italy Using CMIP6 CMCC‐CM2‐SR5 Model and COSMO‐CLM Dynamical Downscaling

International Journal of Climatology, EarlyView.
This study evaluates the COSMO‐CLM regional climate model over Italy under CMIP6 scenarios. Compared to its driving global model, COSMO‐CLM reduces temperature biases by 50%–75% and better represents precipitation and extremes, adding critical mesoscale detail.
Alejandro Vichot‐Llano, Mario Raffa, Angelo Campanale, Marianna Adinolfi, Gabriella Ceci, Paola Mercogliano   +5 more
wiley   +1 more source

Performance Evaluation of the MPAS Model in Simulating Southeast Asian Rainfall Characteristics

International Journal of Climatology, EarlyView.
This study evaluates the performance of the Model for Prediction Across Scales–Atmosphere (MPAS) in reproducing key rainfall characteristics over Southeast Asia (SEA) during 2000–2020, using the MSWEP dataset as reference. MPAS realistically captures the observed meridional rainfall gradient, with higher rainfall in the south and lower in the north, as
Nguyen Thanh Hung, Alugula Boyaj, Srivatsan V. Raghavan, Nguyen Ngoc Son, Bhenjamin Jordan Ona   +4 more
wiley   +1 more source

Enabling image optimisation and artificial intelligence technologies for better Internet of Things framework to predict COVID

IET Networks, EarlyView., 2022
Abstract Sensor technology advancements have provided a viable solution to fight COVID and to develop healthcare systems based on Internet of Things (IoTs). In this study, image processing and Artificial Intelligence (AI) are used to improve the IoT framework.
Noor M Allayla, Farah Nazar Ibraheem, Refed Adnan Jaleel   +2 more
wiley   +1 more source

Smart Integration of Structural Biology and Medicinal Chemistry to Unlock Target‐Driven Drug Discovery

Medicinal Research Reviews, EarlyView.
ABSTRACT To enhance drug discovery efforts, medicinal chemists should evaluate, filter, and utilize relevant structural information about target proteins. Acquiring and interpreting protein structures is crucial for elucidating ligand‐receptor interactions and addressing ADME‐related considerations, making it an essential aspect of medicinal chemistry.
Matteo Rossi Sebastiano, Giulia Apprato, Serena Francisco, Giuseppe Ermondi, Giulia Caron   +4 more
wiley   +1 more source

Distributed wireless network resource optimisation method based on mobile edge computing

IET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang, Chao Quan, Kai Qian, Jiefeng Pan, Yueping Yang   +4 more
wiley   +1 more source

Power-Efficient Resource Allocation in Massive MIMO Aided Cloud RANs

International Journal of Information and Communication Technology Research, 2018
This paper considers the power-efficient resource allocation problem in a cloud radio access network (C-RAN). The C-RAN architecture consists of a set of base-band units (BBUs) which are connected to a set of radio remote heads (RRHs) equipped with ...
Nahid Amani, Saeedeh Parsaeefard, Hassan Taheri, Hossein Pedram   +3 more
doaj  

Semantic Intelligence in Metallurgy: A Dual‐Stage Language Model Framework for Processing‐Aware Magnesium Alloy Design

Materials Genome Engineering Advances, EarlyView.
This study introduces a dual‐stage language model framework that extracts processing information from scientific literature and integrates it with thermodynamic data for magnesium alloy design. By combining semantic intelligence with quantitative modeling, the approach enables processing‐aware prediction of mechanical and thermal properties, bridging ...
Ziliang Lu, Ishwar Kapoor, Takeru Araki, Lu Chen, Tao Song, Yixiang Li, Yang Su, Xiaoqin Zeng, Leyun Wang   +8 more
wiley   +1 more source

A pilot variational coupled reanalysis based on the CESAM climate model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl, Iuliia Polkova, Guokun Lyu, Frank Lunkeit, Abhirup Banerjee, Silke Schubert, Detlef Stammer   +6 more
wiley   +1 more source

Recent Advances in Machine Learning for Network Automation in the O-RAN. [PDF]

Sensors (Basel), 2023
Hamdan MQ, Lee H, Triantafyllopoulou D, Borralho R, Kose A, Amiri E, Mulvey D, Yu W, Zitouni R, Pozza R, Hunt B, Bagheri H, Foh CH, Heliot F, Chen G, Xiao P, Wang N, Tafazolli R.   +17 more
europepmc   +1 more source