Results 171 to 180 of about 13,079,526 (282)

Deep Reinforcement Learning-Based Power Allocation for Minimizing Age of Information and Energy Consumption in Multi-Input Multi-Output and Non-Orthogonal Multiple Access Internet of Things Systems. [PDF]

Sensors (Basel), 2023
Wu Q, Zhang Z, Zhu H, Fan P, Fan Q, Zhu H, Wang J.   +6 more
europepmc   +1 more source

Intranasal Delivery of Gallium–Quercetin Nanoparticles for Multi‐Target Ferroptosis Inhibition in Parkinson's Disease

Advanced Science, EarlyView.
Leveraging the chemical similarity between Ga3+ and Fe3+ as well as the antioxidant properties of quercetin, gallium–quercetin nanoparticles (GQNPs) were prepared to integrate iron homeostasis regulation, oxidative stress suppression, and mitochondrial protection for multi‐target ferroptosis inhibition in Parkinson's Disease.
Keyang Xu, Dandan Kou, Xiao Xiao, Bingbing Bai, Caide Liu, Mengyao Wu, Yadan Shi, Mengdan Xu, Xiaoyi Cao, Haodi Qi, Shuhua Wu, Jianfeng Zeng, Mingyuan Gao   +12 more
wiley   +1 more source

Joint Sensor Clustering and Power Allocation in Wireless Body Area Networks Based on NOMA. [PDF]

Healthc Technol Lett
Deng D, Liu D, Li J.
europepmc   +1 more source

Cellular Network Power Allocation Algorithm Based on Deep Reinforcement Learning and Artificial Intelligence. [PDF]

Comput Intell Neurosci, 2022
Cao J, Zou X, Xie R, Li Y.
europepmc   +1 more source

Contingency Plan for the Emergency Allocation of Motor Gasoline into Texas Hurricane Alert Areas

, 1979
117 pagesDuring periods of reduced supplies of motor gasoline, inadequate volumes may exist for emergency evacuation depending upon the magnitude of the shortfall and local supply situations. To insure the flexibility needed to provide a quick and proper
Texas State Office of Petroleum Allocation
core  

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

Advanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv, Dayong Wu, Ziyuan Rao, Qian Wang, Haikun Ma, Jie Kang, Wang Li, Huicong Dong, Yandong Wang, Zhinan Yang, Ru Su   +10 more
wiley   +1 more source

Optimization Method for Secrecy Capacity of UAV Relaying Based on Dynamic Adjustment of Power Allocation Factor. [PDF]

Sensors (Basel)
Hao Y, Xiang Y, Du Q, Li X, Ding C, Hou D, Tian J.   +6 more
europepmc   +1 more source

An Aggressive Cuckoo Search Algorithm for Optimum Power Allocation in a CDMA-Based Cellular Network. [PDF]

ScientificWorldJournal, 2022
Mwitia SM, Segera DR.
europepmc   +1 more source

Dicationic Ion‐Pair Doping Enables Stable and High‐Performing Conducting Polymers for Organic Thermoelectrics

Advanced Science, EarlyView.
TAB–2TFSI enables efficient ion‐pair doping across a wide range of conjugated polymers, where the strongly oxidizing TAB core drives charge transfer, and the TFSI counterions promote favorable ionic compensation. This dicationic dopant promotes uniform dopant distribution, improves structural order, and increases carrier delocalization, establishing a ...
Juhyung Park, Shubhradip Guchait, Tanmay Sinha, Cynthia Verduyckt, Vijitha Ignatious, Tzu‐Yi Yu, Heyi Xia, Altynay Kaidarova, Michael Ng, Siebe Detavernier, Martin Rosenthal, Maristella Alessio, Daniel Escudero, Guy Koeckelberghs, Francisco Molina‐Lopez   +14 more
wiley   +1 more source

AI-driven dynamic resource allocation for ISAC systems in 6G networks: intelligent beamforming, interference management, and power allocation. [PDF]

Sci Rep
Aman M, Rehman GU, Zubair M, Alfakeeh A, Aboulola OI, Daud A.   +5 more
europepmc   +1 more source