Two-Step Quantum Search Algorithm for Solving Traveling Salesman Problems by Rei Sato, Cui Gordon, Kazuhiro Saito, Hideyuki Kawashima, Tetsuro Nikuni, Shohei Watabe

Get full text

EGNAS: Efficient Graph Neural Architecture Search Through Evolutionary Algorithm by Younkyung Jwa, Chang Wook Ahn, Man-Je Kim

Get full text

Optimized Negative Selection Algorithm for Image Classification in Multimodal Biometric System by Monsurat Omolara Balogun, Latifat Adeola Odeniyi, Elijah Olusola Omidiora, Stephen Olatunde Olabiyisi, Adeleye Samuel Falohun

Get full text

Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading by Jinghui Wu, Wenjun Zhu, Yun Xu, Kangan Shu, Wei Yang

Get full text

LEO mega-constellation network:networking technologies and state of the art by Quan CHEN, Lei YANG, Jianming GUO, Xingchen LI, Yong ZHAO, Xiaoqian CHEN

Get full text

Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique by Hui Li, Weizhong Chen, Xianjun Tan

Get full text

Space and time joint optimization for vertical takeoff and landing aircraft in dense obstacles and interference environments by Liben Yang, Yu Li, Jianwen Tian, Dong Wang

Get full text

Amending the algorithm of aerosol–radiation interactions in WRF-Chem (v4.4) by J. Feng, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, C. Zhao, Q. Du, Z. Yang, C. Jin

Get full text

Optimization of DG-LRG Water Extraction Algorithm Considering Polarization and Texture Information by Lei Tan, Yunpeng Liu, Kai Zhou, Ruizhe Zhang, Jintian Li, Ruopeng Yan

Get full text

Research on Vehicle Automatically Tracking Mechanism in VANET by Lin Wang, Shukui Zhang, Xiaoning Wang, Yang Zhang

Get full text

The optimal dispatching strategy of cogeneration based on Deep Q-Network (DQN) algorithm by Zhang Pei, Fu Yan, Yao Fu

“…This work expands on previous research to offer a state-of-the-art approach for optimizing the dispatching of cogeneration systems, given the limitations faced by conventional coal-fired cogeneration units and the increasing environmental standards. …”
Get full text

A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space by Zheng Luo, Jiahao Mai, Caihong Feng, Deyao Kong, Jingyu Liu, Yunhong Ding, Bo Qi, Zhanbo Zhu

Get full text

Neighbor satellite load based low orbit satellite distributed routing algorithm by Mingchuan YANG, Guanchang XUE, Qingyi LI

“…Satellites are highly flexible and maneuverable, and they are not easily affected by ground factors, which has led to the rapid development of space satellite technology.Satellite networks always have load congestion problem as the load increases, making routing algorithms a core issue in the field of satellite network research.Based on the problems of congestion mitigation, signaling overhead, and algorithm complexity, the distributed routing algorithm for local load balancing of LEO (low earth orbit) satellite networks was deeply studied.The network model was constructed based on the Iridium satellite system and a distributed routing algorithm based on the load status of neighbor satellite (DRNL) was proposed, which included such as load status update of neighbor nodes, load balancing and routing decision.It had a certain degree of portability and could adapt to other polar or near polar orbit constellation.The simulation results based on the OPNET show that the DRNL can better adapt to the heavier network loads state, alleviate satellite congestion, obtain lower delay and packet loss.…”
Get full text

Neighbor satellite load based low orbit satellite distributed routing algorithm by Mingchuan YANG, Guanchang XUE, Qingyi LI

“…Satellites are highly flexible and maneuverable, and they are not easily affected by ground factors, which has led to the rapid development of space satellite technology.Satellite networks always have load congestion problem as the load increases, making routing algorithms a core issue in the field of satellite network research.Based on the problems of congestion mitigation, signaling overhead, and algorithm complexity, the distributed routing algorithm for local load balancing of LEO (low earth orbit) satellite networks was deeply studied.The network model was constructed based on the Iridium satellite system and a distributed routing algorithm based on the load status of neighbor satellite (DRNL) was proposed, which included such as load status update of neighbor nodes, load balancing and routing decision.It had a certain degree of portability and could adapt to other polar or near polar orbit constellation.The simulation results based on the OPNET show that the DRNL can better adapt to the heavier network loads state, alleviate satellite congestion, obtain lower delay and packet loss.…”
Get full text

The classroom as a space of resistance. Cooperation, gratitude and collective memory between neuroscience and social science by Dévrig Mollès, Marcos Parada-Ulloa

Get full text

Parallel CUDA-Based Optimization of the Intersection Calculation Process in the Greiner–Hormann Algorithm by Jiwei Zuo, Junfu Fan, Kuan Li, Qingyun Liu, Yuke Zhou, Yi Zhang

Get full text

Leveraging the Louvain algorithm for enhanced group formation and collaboration in online learning environments by Minkyung Lee, Priya Sharma

Get full text

Exploring unsupervised feature extraction algorithms: tackling high dimensionality in small datasets by Hongqi Niu, Gabrielle B. McCallum, Anne B. Chang, Khalid Khan, Sami Azam

“…Finally, we evaluated each algorithm against state-of-the-art research using various datasets to assess their accuracy, highlighting which algorithm is most appropriate for specific scenarios. …”
Get full text

Hybrid genetic algorithm and deep learning techniques for advanced side-channel attacks by Faisal Hameed, Hoda Alkhzaimi

“…A critical challenge in training effective neural network models lies in hyperparameter optimization. This research introduces a genetic algorithm (GA) framework that efficiently navigates complex hyperparameter search spaces, overcoming limitations of conventional methods: grid search’s poor scalability and Bayesian optimization’s challenges with high-dimensional spaces. …”
Get full text

Singular Spectrum Analysis With Conditional Predictions for Real‐Time State Estimation and Forecasting by H. Reed Ogrosky, Samuel N. Stechmann, Nan Chen, Andrew J. Majda

Get full text