Autonomous obstacle avoidance of underground coal mine transport robots based on intrinsic motivation reinforcement learning algorithm by ZHAO Kebao, LI Lingfeng, CHEN Zhuo, HAN Jun, YIN Rui

“…By combining the reward weights of the intrinsic motivation orientation function and the external motivation reward function, it calculated a comprehensive reward value based on the robot's state before and after performing an action, forming the reward mechanism of the reinforcement learning algorithm. …”
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RETRACTED ARTICLE: Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numeric... by Muhammad Naeem Aslam, Nadeem Shaukat, Arshad Riaz, Ilyas Khan, Shafiullah Niazai

“…The weights of ANN based fitness function ranging from − 10 to 10. To optimize the weights and biases of artificial neural networks (ANNs), employ a hybridization of advanced evolutionary optimization algorithms, specifically the artificial bee colony (ABC) optimization integrated with neural network algorithms (NNA). …”
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Long-term leaf nitrogen and phosphorus dynamics and drivers in China's forests under global change by Chenxi Li, Honglin He, Xinyu Zhang, Xiaoli Ren, Liang Shi, Li Zhang, Qian Xu, Mengyu Zhang, Yonghong Zhang

“…However, limited research has been conducted on long-term temporal leaf N:P variation over a range of temperature zones. …”
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Impact of CYP3A5 1* and 3* single nucleotide variants on tacrolimus pharmacokinetics and graft rejection risk in pediatric kidney transplant patients by Lesly Yanira Xajil-Ramos, Lesly Yanira Xajil-Ramos, Lesly Yanira Xajil-Ramos, Lesly Yanira Xajil-Ramos, Jesús Alonso Gándara-Mireles, Jesús Alonso Gándara-Mireles, Rodrigo José Vargas Rosales, Rodrigo José Vargas Rosales, Rodrigo José Vargas Rosales, Oscar Kevin Sánchez García, Andrea Mariela Ruano Toledo, Amy Kateleen Aldana de la Cruz, Ismael Lares-Asseff, Ismael Lares-Asseff, Leslie Patrón-Romero, Horacio Almanza-Reyes, Randall Lou-Meda

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Mechanoreceptive soft robotic molluscoids made of granular hydrogel-based organoelectronics by Antonia Georgopoulou, Nana Obayashi, Francesca Bono, Lorenzo Lucherini, Josie Hughes, Esther Amstad

“…To reduce the impact of viscoelasticity on the signal without compromising the softness of the material, we introduce electrically conductive double network granular hydrogel sensors. …”
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Sensitivity analysis of activity scheduling parameters with a parameter optimization framework by Matheus Moro Zamprogno, Domokos Esztergár-Kiss

“…The relevant parameters, activity chains, transport modes, optimization algorithms, and fitness functions, are identified and considered. For each parameter, an investigation is conducted to reveal its behavior throughout the runs. …”
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Malware Detection and Classification in Android Application Using Simhash-Based Feature Extraction and Machine Learning by Wafaa Al-Kahla, Eyad Taqieddin, Ahmed S. Shatnawi, Rami Al-Ouran

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Model-Aware End-to-End Learning for SISO Optical Wireless Communication Over Poisson Channel by Ling-Han Si-Ma, Zhao-Rui Zhu, Hong-Yi Yu

“…By these designs, the end-to-end learning task can be conducted over Poisson channel. Extensive computer simulations reveal that 1) the transceiver learned by the DNN scheme always performs better than or comparably to the currently available artificially designed transceivers, and 2) compared with the transceiver learned by DNN, the transceiver learned by SR-AE suffers performance loss in some cases, but the SR-AE scheme has a lower complexity to compute the loss function and fewer network parameters. …”
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A Novel Method for Analyzing the Factors Influencing Ground Settlement during Shield Tunnel Construction in Upper-Soft and Lower-Hard Fissured Rock Strata considering the Coupled H... by Yan Wang, Yongjun Zhang, Zhen Zhu, Mingqing Du, Yi Qi

“…Focusing on the special stratum conditions of upper-soft and lower-hard fissured rock strata, this paper conducts quantitative research and analysis on the factors influencing the ground settlement caused by shield tunnel construction considering the coupled hydromechanical properties and presents a corresponding numerical simulation-artificial neural network-Bayesian network- (NS-ANN-BN-) based method. …”
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Improving long‐tail classification via decoupling and regularisation by Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu

“…Abstract Real‐world data always exhibit an imbalanced and long‐tailed distribution, which leads to poor performance for neural network‐based classification. Existing methods mainly tackle this problem by reweighting the loss function or rebalancing the classifier. …”
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3D reconstruction of fruit trees and fruit semantic segmentation based on NeRF and improved RandLA-Net by Dacheng YANG, Jun GUO, Jing YANG, Yali ZHANG, Yubin LAN

“…Then, the improved random local point cloud feature aggregation network (RandLA-Net) was adopted to conduct end-to-end semantic segmentation of the fruit tree point cloud, accurately extracting the fruit point cloud. …”
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Influence of aging on dermal elastin fiber architecture and skin firmness assessed by finite element modeling by Fei Jiang, Takeshi Tohgasaki, Mayuko Kami, Ryota Sanuki, Yuya Nakata, Shinya Kondo, Xian Chen

“…Unconfined compression simulations were conducted to evaluate skin’s elastic resistance force and correlate it with quantified geometric parameters of the elastin networks. …”
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Properties and potential applications of polymer composites containing secondary fillers by Shamsuri Ahmad Adlie, Md. Jamil Siti Nurul Ain, Abu Zarin Mazni, Abdan Khalina

“…Additionally, the formation of conductive networks by secondary fillers improves electrical conduction and stress distribution. …”
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ST-YOLOv8: Small-Target Ship Detection in SAR Images Targeting Specific Marine Environments by Fei Gao, Yang Tian, Yongliang Wu, Yunxia Zhang

“…Additionally, we replace the Complete Intersection over Union (C-IoU) loss function with the Wise Intersection over Union (W-IoU) loss function, which enhances bounding box precision. …”
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Criteria-calibration approaches to deep learning-based cervical cancer radiation treatment auto-planning by Yongguang Liang, Jingru Yang, Shuoyang Wei, Yanfei Liu, Shumeng He, Kang Zhang, Jie Qiu, Bo Yang

“…A total of three criteria-calibration approaches to solve the data imbalance problem in dose prediction were introduced and compared, including Prediction Tolerance function on uTPS (United Imaging Healthcare Co., Ltd., Shanghai), transfer learning, and mixture density network. …”
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Gradient all-nanostructured aerogel fibers for enhanced thermal insulation and mechanical properties by Xiaotong Fu, Lianmeng Si, Zhaoxin Zhang, Tingting Yang, Qichun Feng, Jianwei Song, Shuze Zhu, Dongdong Ye

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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…This paper replaces the backbone network of YOLOv8s with the FasterNet_t0 (FN) network. …”
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Development of a Multifunctional Mobile Manipulation Robot Based on Hierarchical Motion Planning Strategy and Hybrid Grasping by Yuning Cao, Xianli Wang, Zehao Wu, Qingsong Xu

“…In this paper, we propose a multifunctional mobile manipulation robot by integrating perception, mapping, navigation, object detection, and grasping functions into a seamless workflow to conduct search-and-fetch tasks. …”
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Exploration of key genes and pathways in response to submergence stress in red clover (Trifolium pratense L.) by WGCNA by Panpan Shang, Lei Bi, Wenwen Li, Xiaoli Zhou, Yanlong Feng, Jiahai Wu, Bing Zeng

“…Functional annotation of the DEGs in the four key modules was obtained. …”
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A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

“…In each update, we utilize the maximum action value function to determine the appropriate dialogue action, while the maximum state value function serves to guide the policy learning process. …”
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