Results 1 to 10 of about 5,518,524 (205)

Characterization Method of Damage Information Based on Heterogeneous Network [PDF]

Sensors, 2023
Damage is the main form of conflict, and the characterization of damage information is an important component of conflict evaluation. In the existing research, damage mainly refers to the damage effect of a damage load on the target structure.
Tong Huang, Qinhe Gao, Zhihao Liu, Dong Wang, Dong Ma, Lei Gao   +5 more
doaj   +2 more sources

Hybrid Strategy Improved Sparrow Search Algorithm in the Field of Intrusion Detection

IEEE Access, 2023
Aiming at the problem that Sparrow Search Algorithm(SSA) may fall into local optima and have slow convergence speed, a hybrid strategy improved sparrow search algorithm(HSISSA) is proposed in this paper, and it is applied to feature selection and model ...
Liu Tao, Meng Xueqiang
doaj   +1 more source

HN-CNN: A Heterogeneous Network Based on Convolutional Neural Network for m7 G Site Disease Association Prediction

Frontiers in Genetics, 2021
N7-methylguanosine (m7G) is a typical positively charged RNA modification, playing a vital role in transcriptional regulation. m7G can affect the biological processes of mRNA and tRNA and has associations with multiple diseases including cancers. Wet-lab
Lin Zhang, Lin Zhang, Jin Chen, Jiani Ma, Hui Liu, Hui Liu   +5 more
doaj   +1 more source

Marine atmospheric accelerated experimental corrosion platform based on IoT technology through heterogeneous network

Zhongguo Jianchuan Yanjiu, 2021
Objectives The purpose of this paper is to explore the feasibility of applying heterogeneous network and internet of things (IoT) technology to the remote monitoring of offshore facilities.
Huafeng LI, Yan LIU, Kai XU, Tao ZHANG, Jiaming ZHU   +4 more
doaj   +1 more source

GADTI: Graph Autoencoder Approach for DTI Prediction From Heterogeneous Network

Frontiers in Genetics, 2021
Identifying drug–target interaction (DTI) is the basis for drug development. However, the method of using biochemical experiments to discover drug-target interactions has low coverage and high costs.
Zhixian Liu, Zhixian Liu, Qingfeng Chen, Wei Lan, Haiming Pan, Xinkun Hao, Shirui Pan   +6 more
doaj   +1 more source

Channel State Estimation in LTE-Based Heterogenous Networks Using Deep Learning

Sensors, 2021
Following the continuous development of the information technology, the concept of dense urban networks has evolved as well. The powerful tools, like machine learning, break new ground in smart network and interface design.
Krzysztof K. Cwalina, Piotr Rajchowski, Alicja Olejniczak, Olga Błaszkiewicz, Robert Burczyk   +4 more
doaj   +1 more source

Recommendation Model Based on Probabilistic Matrix Factorization, Integrating User Trust Relationship, Interest Mining, and Item Correlation

IEEE Access, 2022
Personalized recommendation has gained widespread attention in the academic and industrial fields to minimize information overload and has produced good benefits.
Lifeng Han, Li Chen, Xiaolong Shi
doaj   +1 more source

Re‐evaluating expanding intravenous catheters in medical practice

Health Science Reports, 2021
Background Intravenous catheters are common and essential devices within medical practice. Their placement can be difficult, leading to application of several technologies to improve success.
Rigoberto Vazquez, Rishabh Tennankore, Ariella Shikanov, Leonard A. Mermel, Brian Love, Michael L. Burns   +5 more
doaj   +1 more source

5G/B5G mmWave Cellular Networks with MEC Prefetching Based on User Context Information

Sensors, 2022
To deal with recent increasing mobile traffic, ultra-broadband communication with millimeter-wave (mmWave) has been regarded as a key technology for 5G cellular networks.
Kazuki Maruta, Hiroaki Nishiuchi, Jin Nakazato, Gia Khanh Tran, Kei Sakaguchi   +4 more
doaj   +1 more source

Energy efficiency task scheduling for battery level-aware mobile edge computing in heterogeneous networks

ETRI Journal, 2022
This paper focuses on a mobile edge-computing-enabled heterogeneous network. A battery level-aware task-scheduling framework is proposed to improve the energy efficiency and prolong the operating hours of batterypowered mobile devices.
Zhigang Xie, Xin Song, Jing Cao, Siyang Xu   +3 more
doaj   +1 more source