A growth posture identification method of immature peaches in natural environments by Jidong Lv, Liangliang Niu, Ying Han, Xiaoqin Sun, Lingyun Wang, Hailong Rong, Ling Zou

“…Secondly, the YOLOv8n-seg backbone network was replaced with an improved MobileNetv3 structure for better real-time detection on MT to reduce network parameters and calculations. …”
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Reliability routing protocol based on vehicle density in VANET by Rong CAI, Guoan ZHANG, Li JIN

“…A reliability routing protocol based on vehicle density in vehicular Ad Hoc network was proposed to reduce the complexity of finding an optimal or sub-optimal node of the forwarding node in forwarding range,reducing the average number of hops and enhancing the reliability of the link.Firstly,the size of the unite block was set by the forwarding node according to the vehicle density in the road.And the forwarding range was cut into several equal blocks.Then the farthest block away from the forwarding node was selected.In the selected block,the neighbor node which had the longest link time was chosen as a relay node to forward according to the principle of reliability finally.Compared with EG-RAODV,the simulated results of the proposed routing protocol show that the average number of hops is less and the average distance of one-hop progress is lager,which means the proposed routing protocol can transmit the data packet to destination node more quickly.…”
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Reliability routing protocol based on vehicle density in VANET by Rong CAI, Guoan ZHANG, Li JIN

“…A reliability routing protocol based on vehicle density in vehicular Ad Hoc network was proposed to reduce the complexity of finding an optimal or sub-optimal node of the forwarding node in forwarding range,reducing the average number of hops and enhancing the reliability of the link.Firstly,the size of the unite block was set by the forwarding node according to the vehicle density in the road.And the forwarding range was cut into several equal blocks.Then the farthest block away from the forwarding node was selected.In the selected block,the neighbor node which had the longest link time was chosen as a relay node to forward according to the principle of reliability finally.Compared with EG-RAODV,the simulated results of the proposed routing protocol show that the average number of hops is less and the average distance of one-hop progress is lager,which means the proposed routing protocol can transmit the data packet to destination node more quickly.…”
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Safety Helmet Wearing Detection Based on Jetson Nano and Improved YOLOv5 by Zaihui Deng, Chong Yao, Qiyu Yin

“…Finally, the YOLOv5-SN network is obtained by improving the YOLOv5 model, and the optimized model is deployed on Jetson Nano for testing. …”
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Efficient and accurate tobacco leaf maturity detection: an improved YOLOv10 model with DCNv3 and efficient local attention integration by Yi Shi, Hong Wang, Fei Wang, Yingkuan Wang, Jianjun Liu, Long Zhao, Hui Wang, Feng Zhang, Qiongmin Cheng, Shunhao Qing

“…Notably, the overall precision (P) has been elevated from 0.939 to 0.973, the recall rate (R) has improved from 0.968 to 0.984, the mean average precision at 50% intersection over union (mAP50) has advanced from 0.984 to 0.994, and the mean average precision across the 50% to 95% intersection over union range (mAP50-95) has risen from 0.962 to 0.973. …”
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Combined Prediction Method of Short-Term Distance Headway Based on EB-GRA-TCN by Chun Wang, Weihua Zhang, Cong Wu, Heng Hu, Wenjia Zhu

“…To solve the above problems, a DHW prediction model is proposed in this paper by integrating entropy-based grey relation analysis (EB-GRA) and temporal convolutional network (TCN), named as EB-GRA-TCN model. In the model, the EB-GRA is adopted to calculate the correlation between the target DHW and historical DHW sequences, and the DHW data with high correlation are dynamically selected as the optimal input of the DHW prediction model. …”
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A Moving Object Detection Method Based on Conditional Information and Feature Deepening by Hongrui Zhang, Luxia Yang

“…First, a multiframe averaging method is designed to derive a clean background model, which serves as a conditional input to guide network optimization with accurate scene information. …”
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Short-Term Traffic Flow Forecasting Model Based on GA-TCN by Rongji Zhang, Feng Sun, Ziwen Song, Xiaolin Wang, Yingcui Du, Shulong Dong

“…Therefore, a short-term traffic flow forecasting model GA-TCN based on genetic algorithm (GA) optimized time convolutional neural network (TCN) is proposed in this paper. …”
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Cloud computing virtualization technology based on bandwidth resource-aware migration algorithm by Jin Zhiwei

“…The results showed that the algorithm outperformed others, achieving optimal performance in just 102 iterations and excelling in resource occupancy, utilization, load balancing, migration costs, average migration quantity, latency, and task completion time. …”
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DistB-Condo: Distributed Blockchain-Based IoT-SDN Model for Smart Condominium by Anichur Rahman, Md. Jahidul Islam, Ziaur Rahman, Md. Mahfuz Reza, Adnan Anwar, M. A. Parvez Mahmud, Mostofa Kamal Nasir, Rafidah Md. Noor

“…Condominium network refers to intra-organization networks, where smart buildings or apartments are connected and share resources over the network. …”
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Discussion on key technologies in micro-CT experiments and their applications in oil and gas exploration by Xiangsheng HUANG, Chengfei LUO, Qun ZHANG, Jinding CHEN, Yaoyuan ZHANG, Xiaowen LIU

“…Use the volumetric method to calculate the average pore diameter. These methods can provide a more accurate characterization of rock pore structure. …”
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Minimizing Age of Information in Multi-Class Systems Using an Elapsed-Time-Based Hybrid Service Discipline by Tamer E. Fahim, Sherif I. Rabia, Ahmed H. Abd El-Malek, Waheed K. Zahra

“…Additionally, we explore threshold optimization to either enhance the performance of the most AoI-sensitive class or maximize overall network satisfaction while meeting quality-of-service constraints. …”
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Fast Reverse Design of 4D‐Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm by Mengtao Wang, Zaiyang Liu, Hidemitsu Furukawa, Zhuo Li, Yifei Ge, Yifan Xu, Zhe Qiu, Yang Tian, Zhongkui Wang, Ren Xu, Lin Meng

“…A sequence‐enhanced parallel convolutional neural network is developed and generated a dataset through finite element simulations. …”
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A cross-scale acoustic computational approach for micro-macro mode mapping to facilitate the development of high-performance underwater two-phase composites by Jun-Yu Li, Qi-Bai Huang

“…While current solutions predominantly emphasize novel structural designs (geometric optimization and configuration engineering), polymeric materials such as rubber remain essential for acoustic energy dissipation. …”
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Intelligent Omni-Surface-Assisted Cooperative Hybrid Non-Orthogonal Multiple Access: Enhancing Spectral Efficiency Under Imperfect Successive Interference Cancellation and Hardware... by Helen Sheeba John Kennedy, Vinoth Babu Kumaravelu

“…To address these limitations, this study integrates intelligent omni-surfaces (IOSs) into a cooperative hybrid NOMA (C-HNOMA) framework to enhance retransmission efficiency and extend network coverage. The closed-form expressions for average outage probability and throughput are derived, and a power allocation (PA) optimization framework is proposed to maximize SSE, with validation through Monte Carlo simulations. …”
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Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023 by Ádám Kerek, Ábel Szabó, Ákos Jerzsele

“…<b>Results</b>: Monte Carlo simulations estimated an average MDR prevalence of 79.6% (95% CI: 73.1–86.1%). …”
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Dual-Model Synergy for Fingerprint Spoof Detection Using VGG16 and ResNet50 by Mohamed Cheniti, Zahid Akhtar, Praveen Kumar Chandaliya

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Automated Pneumothorax Segmentation with a Spatial Prior Contrast Adapter by Yiming Jia, Essam A. Rashed

“…Compared with standard nnUNet, SPCA-enhanced nnUNet achieves an average Dice coefficient of 0.81, which indicates an improvement of standard nnUNet by 15%. …”
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Sonar-based object detection for autonomous underwater vehicles in marine environments by Zhen Wang, Zhen Wang, Jianxin Guo, Shanwen Zhang, Yucheng Zhang

“…Specifically, our approach achieves a mean average precision (mAP) of 81.86%, an improvement of 7.85% compared to the best-performing existing model. …”
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3DLST: 3D Learnable Supertoken Transformer for LiDAR point cloud scene segmentation by Dening Lu, Linlin Xu, Jun Zhou, Kyle (Yilin) Gao, Jonathan Li

“…Since the learnable supertokens can be dynamically optimized by multi-level deep features during network learning, they are tailored to the semantic homogeneity-aware token clustering. …”
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