Wide Parallax Image Stitching With Balanced Alignment-Naturalness by Tao Song, Qian Li, Peiguo Hou, Ning Li, Wenhao Liu, Zeheng Xia

Get full text

Bandit-Based Multiple Access Approach for Multi-Link Operation in Heterogeneous Dynamic Networks by Mingqi Han, Zhenyu Chen, Xinghua Sun

“…Simulation results demonstrate that the MP-CUCB algorithm can: 1) better utilize the potential of MLO, achieving a 20% improvement compared to the standard CSMA scheme while ensuring fairness requirements for both MLDs and SLDs; 2) address the severe performance degradation issue in asymmetric heterogeneous scenarios, achieving a 33% improvement compared to the standard CSMA; 3) effectively adapt to dynamic networks with new accessing nodes, achieving short convergence times.…”
Get full text

Impact of Adaptive Synthetic on Naïve Bayes Accuracy in Imbalanced Anemia Detection Datasets by Muhammad Khahfi Zuhanda, Lisya Permata, Hartono, Erianto Ongko, Desniarti

“…This research aims to analyze the impact of the Adaptive Synthetic (ADASYN) oversampling technique on the performance of the Naïve Bayes classification algorithm on datasets with class imbalance. …”
Get full text

Latency and energy-efficient multi-hop routing protocol for unmanned aerial vehicle networks by Abdelhamied A Ateya, Ammar Muthanna, Irina Gudkova, Yuliya Gaidamaka, Abeer D Algarni

Get full text

A Task Offloading and Resource Allocation Strategy Based on Multi-Agent Reinforcement Learning in Mobile Edge Computing by Guiwen Jiang, Rongxi Huang, Zhiming Bao, Gaocai Wang

“…Task offloading and resource allocation is a research hotspot in cloud-edge collaborative computing. …”
Get full text

Errors and complications with post-traumatic frontal deformities of the elbow joint corrected with supracondylar osteotomy with the Ilizarov apparatus by Yuri P. Soldatov, Alexander N. Diachkov

Orchard Navigation Method Based on RS-SC Loop Frame Search Method and SLAM Technology by Ning Xu, Qingshan Meng, Fengping Liu, Zhihe Li, Guangming Wang, Na Guo, Wenxuan Wu

“…The experimental results show that compared to the independent use of Radius Search and Scan Context, the proposed algorithm increases the number of loopback frames by 50.19% and 7.23%, respectively, and reduces the root mean square error by 28.31% and 45.60%, respectively. …”
Get full text

Joint scheduling of vertical and horizontal transportation for underground container logistics in seaport terminals. by Chengji Liang, Yu Wang, Bin Lu, Yaohong Jin

“…Taking marshaling and congestion of the ULVs into consideration, a Genetic Algorithm is developed to solve the problem. Numerical experimental results prove the efficiency of the proposed algorithm, and different marshaling strategies are compared. …”
Get full text

An adaptive video stream transmission control method for wireless heterogeneous networks based on A3C by Zhiqiang LUO, Wei WANG, Xiaorong ZHU

“…The adaptive bit rate (ABR) algorithm has become the focus research in video transmission.However,due to the characteristics of 5G wireless heterogeneous networks,such as large fluctuation of channel bandwidth and obvious differences between different networks,the adaptive video stream transmission with multi-terminal cooperation was faced with great challenges.An adaptive video stream transmission control method based on deep reinforcement learning was proposed.First of all,a video stream dynamic programming model was established to jointly optimize the transmission rate and diversion strategy.Since the solution of this optimization problem depended on accurate channel estimation,dynamically changing channel state was difficult to achieve.Therefore,the dynamic programming problem was improved to reinforcement learning task,and the A3C algorithm was used to dynamically determine the video bit rate and diversion strategy.Finally,the simulation was carried out according to the measured network data,and compared with the traditional optimization method,the method proposed better improved the user QoE.…”
Get full text

Spectroscopic measurement of near-infrared soil pH parameters based on GhostNet-CBAM. by Jianguo Zhu, Wenjin Wang, Peng Tian

“…Soil pH is an important parameter that affects plant nutrient uptake and biological activity and has received extensive attention and research. In this paper, we propose a neural network algorithm using Ghostnet combined with Convolutional Block Attention Module (CABM) to realize the near-infrared (NIR) PH spectral measurement of soil. …”
Get full text

Intrusion Detection System for Network Security Using Novel Adaptive Recurrent Neural Network-Based Fox Optimizer Concept by R. Manivannan, S. Senthilkumar

“…Abstract The majority of daily networks and communications rely heavily on network security. Researchers in cybersecurity emphasize the necessity of developing effective intrusion detection systems (IDS) to safeguard networks. …”
Get full text

Pain in the Foot: Pathogenesis, Diagnosis and Treatment by Yatskevych A.

“…Content analysis, method of system and comparative analysis, bibliosemantic method of study of the actual scientific researches on the topic of the pain in the foot, its pathogenesis, diagnose algorithm and treatment with the demonstration of a clinical case have been used. …”
Get full text

Automated classification of MESSENGER plasma observations via unsupervised transfer learning by Vicki Toy-Edens, Wenli Mo, Robert C. Allen, Sarah K. Vines, Savvas Raptis

Get full text

Enhancing Neural Network Training Through Neuroevolutionary Models: A Hybrid Approach to Classification Optimization by Hyasseliny A. Hurtado-Mora, Luis A. Herrera-Barajas, Luis J. González-del-Ángel, Roberto Pichardo-Ramírez, Alejandro H. García-Ruiz, Katea E. Lira-García

“…This research proposes a hybrid neuroevolutionary approach that integrates a genetic algorithm with a NEAT-based structure to enhance ANN performance. …”
Get full text

A Comprehensive Review of the Main Heavyweight and Lightweight SDLC for Big Data Analytics Systems (BDAS) by David Alejandro Montoya-Murillo, Sergio Galvan-Cruz, Manuel Mora, Estela Lizbeth Munoz Andrade

“…This research, thus, addresses this knowledge gap, and report a comparative review between the main heavyweight (KDD, SEMMA, CRISP-DM, BDPL) and emergent lightweight (ASUM, TDSP, DDSL) SDLC for BDAS, selected through a Selective Systematic Literature Review (SSLR) research method for the 2000-2023 period. …”
Get full text

A Review of Recent Advances in Roll Stability Control in On-Road and Off-Road Vehicles by Jie Chen, Ruochen Wang, Wei Liu, Dong Sun, Yu Jiang, Renkai Ding

“…Despite significant advancements in roll stability control for individual vehicle types, comparative research across on-road and off-road vehicles remains limited, hindering cross-disciplinary innovation. …”
Get full text

Modeling and optimization of power consumption for multi-core processors: A thermodynamic perspectiveModeling-and-Optimization-of-Power-Consumption-for-Multi-core-Processors-A-Ther... by Xiaoxuan Peng, Litao Yan, Qiang Li, Xiaohu Ge, Yonghui Li

Get full text

CHPOA-DBN Transformer Fault Diagnosis Method Considering Sample Within-Class Imbalance by Shuang WANG, Qian LUO, Bo TANG, Lan JIANG, Jin LI

Get full text

A Hotspot Prediction Scheme Based on Ensemble Learning With Adaptive Beamforming for Virtual Small Cell in 5G Networks by Aws Majeed Ghalib Alawadi, Hadi Seyedarabi, Reza Afrouzian, Javad Musevi Niya

“…For this purpose, at first, using the location map of users, the location of hotspots is predicted by an Ensemble deep learning algorithm. Ensemble deep learning algorithm in this research combines the advantages of GRU and GRN networks and creates an efficient and accurate deep model that is more accurate than previous approaches that used single networks. …”
Get full text

Identification of sweetpotato virus disease-infected leaves from field images using deep learning by Ziyu Ding, Fanguo Zeng, Haifeng Li, Jianyu Zheng, Junzhi Chen, Biao Chen, Wenshan Zhong, Xuantian Li, Zhangying Wang, Lifei Huang, Xuejun Yue, Xuejun Yue

Get full text