Results 41 to 50 of about 209,606 (303)
Covalent organic frameworks (COFs) with metals have been recognized as versatile platforms for photocatalytic CO2 reduction (CO2PRR). Herein, an overview of metal integration strategies for COFs is systematically summarized. Regulatory mechanisms and structure–activity relationships between metal integration and COF‐based CO2PRR are emphasized.
Jie He +5 more
wiley +1 more source
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
In the telecom sector, a huge volume of data is being generated on a daily basis due to a vast client base. Decision makers and business analysts emphasized that attaining new customers is costlier than retaining the existing ones.
Irfan Ullah +5 more
doaj +1 more source
A series of Bi‐TMCs‐based heterostructures (CeNiC2/Ni‐x%) have been precisely constructed through a “molecular‐template”‐assisted strategy, which exhibits remarkable alkaline HOR performance derived from the strong synergy between Ni and CeNiC2 components.
Xi Yin +7 more
wiley +1 more source
Federated learning with hyper-network—a case study on whole slide image analysis
Federated learning(FL) is a new kind of Artificial Intelligence(AI) aimed at data privacy preservation that builds on decentralizing the training data for the deep learning model.
Yanfei Lin +3 more
doaj +1 more source
Bioactive conductive Ti3C2Tx‐Ce hydrogels with with scavenging ROS and alleviating neuronal mitochondrial dysfunction are exploited for SCI treatment. This functionality is attributed to interfacial activation modification of Ti3C2Tx with Ce3+ ions to in‐situ form Ce(OH)x‐mediated protective layer, which is beneficial to enabling stable intracellular ...
Weikang Wang +12 more
wiley +1 more source
TransKS: An Anomaly Detection Method for Telecommunication Networks Based on Deep Learning
As the scale of telecommunication networks continues to grow, the structure of network elements becomes increasingly complex. Consequently, the data service has experienced a significant boom, leading to a substantial increase in network failures and ...
Jiahuan Zheng +5 more
doaj +1 more source
This study demonstrates a self‐assembly process to generate free‐standing piezoelectric nanomembranes, forming ultracompact microtubular acoustic wave sensors and actuators. The miniaturized 3D piezoelectric platform reported in this work can be applied in telecommunication, energy harvesting, and acoustofluidics. Moreover, the 3D self‐assembly can add
Raphaël C. L‐M. Doineau +9 more
wiley +1 more source
Service innovation in telecommunication: The path to customer loyalty through enhanced customer satisfaction [PDF]
This study focuses on the Nepalese telecom sector, where service innovation is crucial for increasing customer satisfaction and gaining loyalty. In the rapidly evolving technological landscape, telecom service providers must continuously improve their ...
Manoj Kumar Chaudhary +5 more
doaj +1 more source
Malicious software or misbehaving applications have the potential to trigger signaling storms on mobile networks, leading to battery drainage on devices and causing bandwidth overuse at the cell level.
Dongdong Feng +5 more
doaj +1 more source

