Music informer as an efficient model for music generation by Hui Sun, Xiaofang Wang, Yuxing Wang, Pengfei Lu

“…To address this issue, Music Informer is proposed, drawing inspiration from the widely-used Informer model in fields like time series forecasting, weather prediction, etc. …”
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Predicting Cervical Lymph Node Metastasis Using Preoperative Multiparameter Data Based on Imaging, Serology, and Clinical Features in Unifocal Papillary Thyroid Carcinoma by Junlin HE, Wenjing CHEN, Lili HU, Yongsheng WANG, Jing CHEN, Ming WU

“…Objective: To evaluate the predictive performance of preoperative multiparameter data, including computed tomography (CT), ultrasound, clinical features, and serology, for central cervical lymph node metastasis (CLNM) in unifocal papillary thyroid carcinoma (PTC) and to develop a nomogram model for predicting CLNM preoperatively. …”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…The study concludes that the effective fusion of multi-scale features not only enhances the model’s prediction performance but also strengthens its generalization ability. …”
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An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

“…Furthermore, the feature extraction process uses the fusion models comprising NASNetMobile, ResNet50, and VGG19. …”
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Kinematics Analysis and Performance Optimization of Low Coupling PRPaR/2CRR Parallel Mechanism by Zhang Li, Zhu Lei, Xu Dong

“…What's more, a multi-objective optimization design model was established based on the comprehensive performance of the workspace volume, the global dexterity, and the global operability, and the optimal structural parameter size solution was calculated using the NSGA-Ⅱ algorithm. …”
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Modeling residential property prices in emerging climate-responsive urban markets: a hybrid modeling framework for Baidoa City-Somalia by Mohamed Ibrahim Nor, Shuaib Nour Hussein

“…Model performance was evaluated using standard metrics (e.g., R2, MSE, MAE) along with diagnostic tests and 5-fold cross-validation. …”
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Diagnosis of Commutation Failure in a High- Voltage Direct Current Transmission System Based on Fuzzy Entropy Feature Vectors and a PCNN-GRU by Cao Ruirui, Yang Taigang, Li Guohui, Chen Shilong

“…Subsequently, the PCNN-GRU architecture performs deep feature extraction through two distinct mechanisms: the PCNN branch employs dual-path convolutional kernels of varying sizes for multidimensional feature mining, whereas the GRU network enhances temporal feature extraction capabilities. …”
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Whole lung radiomic features are associated with overall survival in patients with locally advanced non-small cell lung cancer treated with definitive radiotherapy by Meng Yan, Zhen Zhang, Jia Tian, Jiaqi Yu, Andre Dekker, Dirk de Ruysscher, Leonard Wee, Lujun Zhao

“…The combination of tumor- and lung-based radiomic features can achieve optimal performance.…”
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Sounds like gambling: detection of gambling venue visitation from sounds in gamblers’ environments using a transformer by Kenji Yokotani, Tetsuya Yamamoto, Hideyuki Takahashi, Masahiro Takamura, Nobuhito Abe

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Cross-Modality Object Detection Based on DETR by Xinyi Huang, Guochun Ma

“…In this paper, we propose a novel lightweight Cross-Modality Hybrid Encoder (CHE) that maintains low computational consumption while enhancing the performance of the detection model, which includes two modules: the Attention-based Cross-Modality Feature Interaction (ACFI) module for feature interaction within and between modalities, and the Res-CNN-based Cross-Modality Feature Fusion (RCFF) module for feature association and enhancement. …”
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Smart Farming Solutions: A User-Friendly GUI for Maize Tassel Estimation Using YOLO With Dynamic and Fixed Labelling, Featuring Video Support by Ata Jahangir Moshayedi, Zhonghua Wang, Maryam Sharifdoust, Arash Sioofy Khoojine, Wei Zhang, Amin Kolahdooz, Jiandong Hu

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Antarctic Sea Ice Extraction for Remote Sensing Images via Modified U-Net Based on Feature Enhancement Driven by Graph Convolution Network by Wu Feng, Xiulin Geng, Xiaoyu He, Miao Hu, Jie Luo, Meihua Bi

“…Experimental results using the sea ice dataset of the Ross Sea in the Antarctic, produced by Sentinel-2, demonstrate that our GEFU-Net achieves the best performance compared to other commonly used segmentation models. …”
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Brain tumor detection across diverse MR images: An automated triple-module approach integrating reduced fused deep features and machine learning by Yugal Pande, Jyotismita Chaki

“…The first module utilizes pre-trained deep learning models (DenseNet121 and ResNet101) to extract informative features. …”
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Exploring New Models in All Detail with SARAH by Florian Staub

“…I give an overview about the features the Mathematica package SARAH provides to study new models. …”
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Segmentation of CAD models using hybrid representation by Claude Uwimana, Shengdi Zhou, Limei Yang, Zhuqing Li, Norbelt Mutagisha, Edouard Niyongabo, Bin Zhou

“…In this paper, we introduce an innovative method for computer-aided design (CAD) segmentation by concatenating meshes and CAD models. Many previous CAD segmentation methods have achieved impressive performance using single representations, such as meshes, CAD, and point clouds. …”
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LSKAFF-YOLO: Large Separable Kernel Attentional Feature Fusion Network for Transmission Tower Detection in High-Resolution Satellite Remote Sensing Images by Xiaojin Yan, Zhixuan Li, Yongjie Zhai, Ke Liu, Ke Zhang, Zhenbing Zhao

“…To comprehensively evaluate the model’s performance, this study constructs Gao Fen tower dataset, a multiscene high-resolution satellite remote sensing transmission tower dataset, using GaoFen-2 and GaoFen-7 images, with references to publicly available datasets satellite remote sensing power tower dataset. …”
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<i>cBP-Tnet</i>: Continuous Blood Pressure Estimation Using Multi-Task Transformer Network with Automatic Photoplethysmogram Feature Extraction by Angelino A. Pimentel, Ji-Jer Huang, Aaron Raymond A. See

“…However, existing approaches rely on complex manual feature engineering and/or multiple model architectures, resulting in inefficient epoch training numbers and limited performance. …”
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Machine learning-based state of charge estimation: A comparison between CatBoost model and C-BLSTM-AE model by Abderrahim Zilali, Mehdi Adda, Khaled Ziane, Maxime Berger

“…The performance of the models is evaluated by comparing their regression accuracy and computational resource utilization. …”
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Research on Inspection Method of Intelligent Factory Inspection Robot for Personnel Safety Protection by Ruohuai Sun, Bin Zhao, Chengdong Wu, Xiaohong Qin

“…This mechanism combines multi-scale feature fusion with a gated feature extraction module to improve detection accuracy, strengthening the model’s ability to detect occluded targets, partial images, and small objects. …”
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Simulation of the Performance of Kevlar Impregnated Shear Thickening Fluid Ballistic Test Results (STF) Ballistic Test Results by Riduwan Prasetya, Andoko Andoko, Suprayitno Suprayitno, Retno Wulandari, Prihanto Trihutomo, Kenji Mishima, Dawid Janas

“…Notably, the fabric impregnated with the second type of STF, featuring boron carbide (S1), demonstrated superior ballistic performance. …”
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