Multi-Step Prediction of TBM Tunneling Speed Based on Advanced Hybrid Model by Defu Liu, Yaohong Yang, Shuwen Yang, Zhixiao Zhang, Xiaohu Sun

“…Finally, several subsequences were fed into a Long Short-Term Memory (LSTM) network optimized by the Sparrow Search Algorithm (SSA) for multi-step training and prediction, and the predicted results of each subsequence were added up to obtain the final result. …”
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An Application of Deep Learning Models for the Detection of Cocoa Pods at Different Ripening Stages: An Approach with Faster R-CNN and Mask R-CNN by Juan Felipe Restrepo-Arias, María José Montoya-Castaño, María Fernanda Moreno-De La Espriella, John W. Branch-Bedoya

“…To improve model robustness, the dataset was subsequently augmented and balanced, followed by targeted hyperparameter optimization for both architectures. The refined models were then benchmarked against state-of-the-art YOLOv8 networks (YOLOv8x and YOLOv8l-seg). …”
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Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering by Bo Xu, Chunjiang Zhao, Guijun Yang, Yuan Zhang, Changbin Liu, Haikuan Feng, Xiaodong Yang, Hao Yang

“…Investigating its phenotypic information constitutes an exceedingly crucial task within the realm of breeding work, given that an optimal tassel structure is fundamental for attaining high maize yields. …”
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Fourier and Inverse Fourier Transform Model for Delayed Self-interferometry System by Ling Zhang, Weilin Xie, Yuxiang Feng, Zhangweiyi Liu, Haijun Zhou, Yinxia Meng, Yuanshuo Bai, Wei Wei, Yi Dong

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A dual-branch deep learning model based on fNIRS for assessing 3D visual fatigue by Yan Wu, Yan Wu, Yan Wu, TianQi Mu, SongNan Qu, XiuJun Li, XiuJun Li, XiuJun Li, Qi Li, Qi Li, Qi Li

“…Thus, fatigue assessment is crucial for enhancing the user experience and optimizing the performance of stereoscopic 3D technology. …”
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A Lightweight Machine Learning Model for High Precision Gastrointestinal Stromal Tumors Identification by Xin Sun, Xiwen Mo, Jing Shi, Xinran Zhou, Yanqing Niu, Xiao-Dong Zhang, Man Li, Yonghui Li

“…This study introduces a lightweight convolutional neural network model optimized for the classification of GISTs and leiomyomas using EUS images only. …”
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Predictive Energy Management Strategy for Heavy-Duty Series Hybrid Electric Vehicles Based on Drive Power Prediction by Yuan Cao, Changshui Liang, Shi Cheng, Xinxian Yin, Daxin Chen, Zhixi Liu, Chaoyang Sun, Tao Chen

“…The average RMSE for single-step drive power prediction stands at 14.8 kW. …”
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A Scalable Framework for Deploying AI-Powered Wildlife Monitoring in Resource-Limited Field Environments by Md. Auhidur Rahman, Tesfalem Mehari Berhe, Luca Borgianni, Md Sabbir Ahmed, Cristian Bua, Davide Adami, Stefano Giordano

“…Wildlife monitoring in remote field environments presents significant challenges owing to energy constraints, limited network connectivity, and the need for real-time processing. …”
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Part of speech weighted multi-modal emotion analysis model with dynamic adjustment of semantic representation by HUA Qiang, CHEN Zhuo, ZHANG Feng, DONG Chunru

“…The part of speech weighting module is designed to extract the part of speech of words and assigned weights to optimize sentiment discrimination. Comparative experimental results with the current advanced models such as tensor fusion network and low-rank multimodal fusion show that the average absolute errors of PW-DS model on public data sets CMU-MOSI and CMU-MOSEI are 0.607 and 0.510, respectively, and the binary classification accuracies are 89.02% and 86.93%, respectively, which is better than the models in the comparative experiments. …”
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Underwater object detection algorithm integrating image enhancement and deformable convolution by Lijia Guo, Xiangchun Liu, Dongsheng Ye, Xuebao He, Jianxin Xia, Wei Song

“…First, to alleviate the degradation in underwater image quality, we incorporate an integrated image enhancement module, that is, UnitModule, which generates optimal input images for the detector. Second, the backbone network is redesigned via Deformable Convolution v4 (DCNv4), with targeted optimizations applied to enhance the model's capacity for detecting irregularly shaped objects and small-scale targets. …”
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Detection Model for Cotton Picker Fire Recognition Based on Lightweight Improved YOLOv11 by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song, Yi Wu

“…The backbone of the model is replaced with the MobileNetV2 network to achieve effective model lightweighting. …”
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Thermosolutal convection and entropy generation in hybrid nanofluids: FEM and ANN analysis of a magnetized wavy enclosure by Noor Zeb Khan, Muhammad Salim Khan, A.S. Shflot, M.Y. Malik

“…The problem addresses the critical need to optimize heat and mass transfer in engineering systems, such as thermal management, energy storage, and electronic cooling. …”
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Real time counting method for coal mine drill pipes based on deep learning by Fukai ZHANG, Yiran SUN, Xufeng WU, Aijun LI, Peiyang LI, Dengke WANG, Guan YUAN, Shan ZHAO, Haiyan ZHANG

“…It consists of two parts: the drill recognition model Drill-YOLOv8 optimized based on AM-NT and the drill pipe counting inference algorithm Pipe Count based on two-level judgment regions. …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

“…The LSTM model, with its architecture of three consecutive LSTM layers, was able to demonstrate the best performance across all evaluation metrics on average over the 10 training runs. LSTM networks are designed to handle long time dependencies well. …”
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Central Nervous System Prophylaxis Approach in High‐Risk Diffuse Large B‐Cell Lymphoma Patients: A Retrospectively Collected, Single‐Center Cohort Analysis by Yanli Wang, Xiaolian Wen, Tao Guan, Hongwei Zhang, Wei'e Han, Min Bai, Xiaolan Liu, Min Zhang, Liping Su, Weihua Zhang

“…ABSTRACT Objectives Recent advances in the prevention of diffuse large B‐cell lymphoma (DLBCL) have considerably focused on optimal strategies for preventing its recurrence in the central nervous system (CNS) in patients. …”
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COMPARATIVE ANALYSIS OF TISSUE EXERTION OF MUCOUS MEMBRANES DURING DIFFERENT STAGES OF TENSION IN PERFORMING ON CLOTTING OPERATION by D.V. Kaplun, V.M. Skrupnik, S.O. Stavitsky

“… Taking into account the development of modern surgical stomatology, the problem of optimizing the closure of the wounds of the mucous membrane in the oral cavity remains relevant. …”
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Using Cosmic-Ray Neutron Probes to Monitor Landscape Scale Soil Water Content in Mixed Land Use Agricultural Systems by Trenton E. Franz, Ammar Wahbi, Mariette Vreugdenhil, Georg Weltin, Lee Heng, Markus Oismueller, Peter Strauss, Gerd Dercon, Darin Desilets

“…The calibrated CRNP landscape SWC values compare well against an independent in situ SWC probe network (MAE = 0.0286 m3/m3) given the challenge of continuous in situ monitoring from probes across a heterogeneous agricultural landscape. …”
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CP-YOLO: An Algorithm for Cigarette Pack Defects Detection Based on CCD Images by Peng Dong, Weihua Feng, Rui Wang, Mingyan Zhang, Qunye Hong, Yongsheng Wang, Di Wang, Guohao Zong

“…Additionally, a balanced-domain loss function, which introduces normalized Wasserstein distance to optimize the guidance of the network for bounding boxes with different geometric characteristics, is proposed. …”
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Construction of WO3 nanowires artificial solid electrolyte interphase on silicon nanoparticles with sea urchin like structure for improving silicon anode stability by Qiao Wu, Xiaolai Luo, Lisha Zhou, Xiang Shen, Luhua Lu

“…The gravimetric capacitance of optimized composite reaches 1410.6 mAh·g−1 and its capacity remains 1039 mAh·g−1 after 200 cycles.…”
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Cost of care for preterm babies in Jinja Regional Referral Hospital, East-central Uganda: A provider perspective by Ziyada Babirye, Elizabeth Kiracho Ekirapa, Goddie Geofrey Okeny, Angela Nakanwagi Kisakye, Freddie Ssengooba

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