Digital Twin-Enabled Adaptive Robotics: Leveraging Large Language Models in Isaac Sim for Unstructured Environments by Sanjay Nambiar, Rahul Chiramel Paul, Oscar Chigozie Ikechukwu, Marie Jonsson, Mehdi Tarkian

“…A validation study measured the performance of the perception module, simulation, and language interface, with a 60% overall success rate. …”
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Automatic serving method of volleyball training robot based on improved YOLOv5 and improved Hough transform by Tao Sun, Xiaolong He, Jiajun Zhang

“…The model outperformed the comparison model in accuracy, root mean square error, recall, and F1-score, with a detection accuracy of 92.3% and a root mean square error of only 0.18. The success rate in capturing dynamic targets reached 95.6%, and the trajectory tracking error was reduced to 0.1 m, significantly improving the automation level in volleyball sports. …”
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Machine learning for QoS and security enhancement of RPL in IoT-Enabled wireless sensors by Abubakar Wakili, Sara Bakkali, Ahmed El Hilali Alaoui

“…Our approach integrates a random forest model for precise traffic classification, a reinforcement learning module for dynamic and adaptive routing, and a modified RPL objective function that incorporates classification outcomes into routing decisions. …”
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Privacy-Oriented Successive Approximation Image Position Follower Processing by Ying Miao, Danyang Shao, Zhimin Yan

“…To solve the detection problem of moving the human body in the dynamic background, the motion target detection module integrates the two ideas of feature information detection and human body model segmentation detection and combines the deep learning framework to complete the detection of the human body by detecting the feature points of key parts of the human body. …”
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DO-MDS&DSCA: A New Method for Seed Vigor Detection in Hyperspectral Images Targeting Significant Information Loss and High Feature Similarity by Liangquan Jia, Jianhao He, Jinsheng Wang, Miao Huan, Guangzeng Du, Lu Gao, Yang Wang

“…The experiments involved using the DO-MDS processed datasets with a convolutional neural network embedded with the DSCA attention module, and the results demonstrate vigor discrimination accuracy rates of 93.85%, 93.4%, and 96.23% for the Chunyou 83, Zhongzao 39, and Zhongzu 53 datasets, respectively, achieving 94.8% for the mixed dataset. …”
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Closed-Loop Transcranial Ultrasound Stimulation Based on Deep Learning Effectively Suppresses Epileptic Seizures in Mice by Na Pang, Jingyan Sun, Hailin Zhang, Rong Chen, Jiaqing Yan, Yi Yuan

“…However, current applications predominantly employ open-loop transcranial ultrasound stimulation, which lacks the capacity to dynamically respond to seizures. In the present study, we designed and implemented a closed-loop transcranial ultrasound stimulation (CTUS) system comprising a signal acquisition module, a signal preprocessing module, a deep learning network model-based epileptic signal recognition module, and an ultrasound stimulation module to enable real-time detection and ultrasound intervention in the hippocampus of penicillin-induced epileptic mice. …”
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Study on Spark Image Detection for Abrasive Belt Grinding via Transfer Learning with YOLOv8 by Jian Huang, Guangpeng Zhang

“…The generalization ability of the model is enhanced through the following innovative strategies: (1) a cross-view transfer learning framework based on dynamic anchor box optimization is designed, and the parameters of the front spark detection model YOLOv8 are transferred to the side and 45°-angle detection tasks; (2) an attention-guided feature alignment module is introduced to alleviate the feature distribution shift caused by view differences; and (3) a curriculum learning strategy is adopted, where the datasets of different views are trained separately first and then sampled to reconstruct the dataset for further training, gradually increasing the weight of samples from complex views. …”
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Learning-based cooperative content caching and sharing for multi-layer vehicular networks by Jun Shi, Yuanzhi Ni, Lin Cai, Zhuocheng Du

“…In the high-speed environment, the cooperation between SBSs effectively improves the cache hit rate and further improves service performance.…”
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Graph-contrast ransomware detection (GCRD) with advanced feature selection and deep learning by Suneeta Satpathy, Pratik Kumar Swain

“…The model is tested on a heterogeneous ransomware dataset and the results confirm that GCRD achieves 99.1% accuracy with 1.5% false positive rate against state-of-the-art conventional machine learning and deep learning models. …”
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Research on anti-occlusion tracking method for underground mine personnel based on adaptive link optimization by LU Yang, DONG Lihong, YE Ou

“…Secondly, in the matching cascade stage, nonlinear dynamic features of potential occluded targets were introduced, and historical trajectory information was incorporated to expand the trajectory pair input for the trajectory link optimization module. …”
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Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

“…The Context-aware Transformer (CoT) block is adopted to replace the original E-ELAN module in the neck network, guiding dynamic attention matrix learning and optimizing visual representations. …”
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Gecko‐Inspired Adhesive Grasping from Convex to Flat Surfaces with Contact Sensing by Liuwei Wang, JiaPeng Xie, Shuangjie Wang, Zhiyuan Weng, Yi Song, Zhendong Dai, Zhouyi Wang

“…Embedded resistive strain gauges provide real time signals for the controller to determine the status of the bio‐toe, such as bending, adhesion/release, and even adhesive contact rates, thereby allowing the gripper to autonomously approach, envelop, adhere to, and release objects of various shapes, with the potential for dynamic adhesion control in the future. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…An AUC of 98.2%, an F1-score of 96.8%, and a false positive rate of only 0.02% underline the model’s generalizability, accuracy, and resilience. …”
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Onboard Real-Time Hyperspectral Image Processing System Design for Unmanned Aerial Vehicles by Ruifan Yang, Min Huang, Wenhao Zhao, Zixuan Zhang, Yan Sun, Lulu Qian, Zhanchao Wang

“…The integrated system incorporates a shortwave infrared hyperspectral camera, IMU, control module, heterogeneous computing core, and SATA SSD storage. …”
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Drought Stress Grading Model for Apple Rootstock Softwood Cuttings Based on the CU-ICA-Net by Xu Wang, Pengfei Wang, Jianping Li, Hongjie Liu, Xin Yang

“…For the CU-ICA-Net model, which is obtained by improving U-Net with the ICA (Improved Coordinate Attention) module designed using a cascaded structure and dynamic convolution, the average accuracy rate of the predictions for the three parts of the cuttings, namely the leaf, stem, and petiole, is 93.37%. …”
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Fretting behavior of piston ring-cylinder liner components of a diesel engine running on TiO2 nanolubricant by Ali Can Yılmaz

“…The results depicted that, TiO2 is effective in reducing coefficient of friction by an average of 10.37% and wear rate by 33.58% as well as improving brake mean effective pressure by an average of 4.95% and reducing friction mean effective pressure by an average of 9.34% when compared to those of the engine oil. …”
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A Generalized GNN-Transformer-Based Radio Link Failure Prediction Framework in 5G RAN by Kazi Hasan, Khaleda Papry, Thomas Trappenberg, Israat Haque

“…Radio Link Failure (RLF) prediction system in Radio Access Networks (RANs) is critical for ensuring seamless communication and meeting the stringent requirements of high data rates, low latency, and improved reliability in 5G networks. …”
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Lightweight deep neural network for contour detection and extraction of wheat spikes in complex field environments by Xin Xu, Haiyang Zhang, Jiangchuan Lu, Ziyi Guo, Juanjuan Zhang, Jibo Yue, Hongbo Qiao, Xinming Ma

“…Results Independent test set validation shows the improved model achieves 83.9% contour integrity recognition rate and 92.4% mAP@0.5, exceeding baseline by 3.2 and 5.3% points respectively. …”
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Steer-by-wire control algorithm using a dual-layer closed-loop model by Hao Yin, Zexian Wang, Jiang Liu, Peng Liu

“…A dual-layer controller is designed in the Simulink module and integrated with the CarSim module to achieve closed-loop feedback control of the front wheel angle. …”
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A Recommendation Algorithm Incorporating Adaptive Gating Mechanisms and Knowledge Graph Enhancements by Yi Yu, Teng Lv

“…FM-show that the GAKR model outperforms other benchmark models in terms of the evaluation metrics such as AUC, F1-score and recall rate in the CTR (Click Through Rate) and Top-K recommendation scenarios.…”
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