Results 61 to 70 of about 56,822 (237)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Realizing 5G vision through Cloud RAN: technologies, challenges, and trends
Achieving the fifth-generation (5G) vision will introduce new technology innovations and substantial changes in delivering cutting-edge applications and services in current mobile and cellular networks.
Dimitrios Pliatsios +3 more
doaj +1 more source
Complexity-Aware Scheduling for an LDPC Encoded C-RAN Uplink
Centralized Radio Access Network (C-RAN) is a new paradigm for wireless networks that centralizes the signal processing in a computing cloud, allowing commodity computational resources to be pooled.
Valenti, Matthew C., Whetzel, Kyle
core +1 more source
Glucuronolactone (GLU) as a natural metabolite of glucose, increases Lactobacillus amylovorus abundance and luminal IAA level to activate AHR signaling. In addition, GLU itself can directly elevate AHR signaling activity independently of microbiota and IAA.
Chenbin Cui +8 more
wiley +1 more source
Scalable Edge Computing Deployment for Reliable Service Provisioning in Vehicular Networks
The global connected cars market is growing rapidly. Novel services will be offered to vehicles, many of them requiring low-latency and high-reliability networking solutions.
Federico Tonini +3 more
doaj +1 more source
Compressive Channel Estimation and Multi-user Detection in C-RAN
This paper considers the channel estimation (CE) and multi-user detection (MUD) problems in cloud radio access network (C-RAN). Assuming that active users are sparse in the network, we solve CE and MUD problems with compressed sensing (CS) technology to ...
Chen, Zhi +3 more
core +1 more source
This study presents a wireless, non‐invasive strategy for neural repair by developing a biodegradable piezoelectric dural patch that, under transcranial ultrasound, generates localized electrical fields to drive endogenous neural stem cells toward neuronal differentiation and functional integration.
Pengbo Zhou +7 more
wiley +1 more source
Cloud radio access network (C-RAN) is a promising technology for fifth-generation (5G) cellular systems. However the burden imposed by the huge amount of data to be collected (in the uplink) from the radio remote heads (RRHs) and processed at the base ...
Brighente, Alessandro, Tomasin, Stefano
core +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Design and Implementation of Cloud Radio Access Network (C-RAN) using OMNET++ Platform
For fast data rates, commercial 5G wireless communication systems are in use. However, for 5G, the challenge lies in the expansive use of smart devices and the need for ultra-reliable and low-latency communication in Internet of Everything (IoE ...
Sura Fawzi Ismail , Dheyaa Jasim Kadhim
doaj +1 more source

