FUR-DETR: A Lightweight Detection Model for Fixed-Wing UAV Recovery by Yu Yao, Jun Wu, Yisheng Hao, Zhen Huang, Zixuan Yin, Jiajing Xu, Honglin Chen, Jiahua Pi

“…Firstly, aiming at the performance bottleneck of existing models, the Parallel Backbone is proposed, which captures local features and global semantic information by sharing the initial feature extraction module and the double-branch structure, respectively, and uses the progressive fusion mechanism to realize the adaptive integration of multiscale features so as to balance the accuracy and lightness of target detection. …”
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AAT model based channel estimation for mmWave massive MIMO systems by Shujuan YU, Rong LIU, Yun ZHANG, Na XIE, Liya HUANG

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A hybrid TCN-XGBoost model for agricultural product market price forecasting. by Tianwen Zhao, Guoqing Chen, Sujitta Suraphee, Tossapol Phoophiwfa, Piyapatr Busababodhin

“…Specifically, the TCN-XGBoost model achieves an RMSE of 0.26 and a MAPE of 5.3%, underscoring its superior performance. …”
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Global context-aware attention model for weakly-supervised temporal action localization by Weina Fu, Wenxiang Zhang, Jing Long, Gautam Srivastava, Shuai Liu

“…To solve the above problems, this paper proposes a global context-aware attention model (GCAM). Firstly, GCAM designs the mask attention module (MAM) to restrict the model's receptive field and make the model focus on localized features related to the action context. …”
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DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling by Zongren Li, Shuping Luo, Hongwei Li, Yanbin Li

“…The experimental results evince that the proposed model surpasses the current mainstream ConvNet and Transformer architectures across all performance metrics, proffering novel research perspectives and technical stratagems for the realm of medical image segmentation.…”
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Temporal dependency modeling for improved medical image segmentation: The R-UNet perspective by Ahmed Alweshah, Roohollah Barzamini, Farshid Hajati, Shoorangiz Shams Shamsabad Farahani, Mohammad Arabian, Behnaz Sohani

“…The proposed Recurrent UNet (R-UNet) architecture aims to improve the performance of semantic segmentation tasks by allowing the model to capture temporal dependencies and long-range contextual information. …”
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Analysis of the 50-mile ultramarathon distance using a predictive XGBoost model by Jonas Turnwald, David Valero, Pedro Forte, Katja Weiss, Elias Villiger, Mabliny Thuany, Volker Scheer, Matthias Wilhelm, Marilia Andrade, Ivan Cuk, Pantelis T. Nikolaidis, Beat Knechtle

“…Model explainability tools, including model features relative importances and prediction distribution plots were then used to investigate how each feature affects the predicted race speed. …”
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Classification Model for Bot-IoT Attack Detection Using Correlation and Analysis of Variance by Firgiawan Faira, Dandy Pramana Hostiadi

“…The novelty of this research lies in the application of a data aggregation technique to address class imbalance, significantly improving machine learning model performance and optimizing training time. These findings contribute to the development of robust cybersecurity systems to effectively detect IoT-related threats.…”
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An adaptive hexagonal deployment model for resilient wireless sensor networks in precision agriculture by Zhang Yinjun

“…Abstract This study presents an innovative hexagonal deployment model designed specifically for wireless sensor networks (WSNs) with a primary application in precision agriculture. …”
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RDCRNet: RGB-T Object Detection Network Based on Cross-Modal Representation Model by Yubin Li, Weida Zhan, Yichun Jiang, Jinxin Guo

“…Multiscale detection capability is enhanced through a Cross-Scale Feature Integration Module, improving detection performance across various object sizes. …”
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A Developed LSTM-Ladder-Network-Based Model for Sleep Stage Classification by Ruichen Li, Bei Wang, Tao Zhang, Takenao Sugi

“…However, the automatic staging model would have a relatively poor performance when working on unseen new data due to individual differences. …”
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Efficient productivity prediction model based on edge data compression in smart farms by Peng Jin, Wenshuang Du, Wenquan Jin

“…This strategy integrates lightweight edge models and region-aware clippings and compression techniques to reduce data transmission while retaining key agronomic features. …”
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Development and validation of machine learning models for predicting blastocyst yield in IVF cycles by Wen-jie Huo, Fei Peng, Song Quan, Xiao-cong Wang

“…Ultimately, LightGBM emerged as the optimal model, due to utilizing fewer features (8 vs. 10–11 in SVM/XGBoost) and offering superior interpretability. …”
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Computational modeling of visual salience alteration and its application to eye-movement data by Yoshihisa Fujita, Toshiya Murai, Jun Miyata, Jun Miyata

“…We evaluated our model using an open eye-movement dataset and confirmed that its predictive performance is comparable to the conventional saliency map model used in eye-movement analysis. …”
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Comparative Analysis of Data Visualization and Deep Learning Models in Air Quality Forecasting by Bihter Daş, Damla Mengus

“…Each prediction was assessed using performance metrics such as MAE, RMSE, and R² to ensure robust model evaluation. …”
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A New Hybrid ConvViT Model for Dangerous Farm Insect Detection by Anil Utku, Mahmut Kaya, Yavuz Canbay

“…The findings highlight that the ConvViT model achieves high efficiency in pest detection by integrating local and global feature learning. …”
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DI-VTR: Dual inter-modal interaction model for video-text retrieval by Jie Guo, Mengying Wang, Wenwei Wang, Yan Zhou, Bin Song

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CELM: An Ensemble Deep Learning Model for Early Cardiomegaly Diagnosis in Chest Radiography by Erdem Yanar, Fırat Hardalaç, Kubilay Ayturan

“…Multiple pre-trained CNN architectures (VGG16, ResNet50, InceptionV3, DenseNet121, DenseNet201, and AlexNet), as well as Vision Transformer models, were trained and compared. In addition, we introduced a novel stacking-based ensemble model—Combined Ensemble Learning Model (CELM)—that integrates complementary CNN features via a meta-classifier. …”
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Development of Dynamic Model of Transcritical CO2 Multi-ejector Refrigeration System by Xiong Zhikang, He Yang, Deng Jianqiang

“…The results show that the developed dynamic model has characteristics similar to that of the experimental data, which provides high-precision simulation conditions for studying the performance and regulation features of a multi-ejector refrigeration system.…”
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IVIM-DWI-based radiomic model for preoperative prediction of hepatocellular carcinoma differentiation by ZHUANG Yuxiang, LI Xiaofeng, ZHOU Daiquan

“…Among all models, the predictive performance of the radiomic model and the radiomic-clinical combined model was better than that of the clinical model. …”
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