Enhanced Blade Fault Diagnosis Using Hybrid Deep Learning: A Comparative Analysis of Traditional Machine Learning and 1D Convolutional Transformer Architecture by Syed Asad Imam, Meng Hee Lim, Ahmed Mohammed Abdelrhman, Iftikhar Ahmad, Mohd Salman Leong

“…Effective fault diagnosis (FD) plays a key role in mitigating these financial liabilities by minimizing downtime and facilitating optimized maintenance planning. …”
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Advanced Machine Learning Methodology for Earthquake Magnitude Forecasting Using Comprehensive Seismic Data by Subhieh El-Salhi, Bashar Igried, Sari Awwad

“…A hybrid methodology was developed that integrates machine learning models with metaheuristic feature selection methods to enhance accuracy and robustness. …”
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Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…First, experiments showed that ensemble machine learning models such as CatBoost and Gradient Boosting addressed static features effectively, while time-dependent patterns proved more challenging to predict. …”
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Lightweight rice leaf spot segmentation model based on improved DeepLabv3+ by Jianian Li, Long Gao, Xiaocheng Wang, Jiaoli Fang, Zeyang Su, Yuecong Li, Shaomin Chen

“…First, the lightweight feature extraction network MobileNetV3_Large (MV3L) was adopted as the backbone of the model. …”
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HiSTENet: History-Integrated Spatial–Temporal Information Extraction Network for Time Series Remote Sensing Image Change Detection by Lu Zhao, Ling Wan, Lei Ma, Yiming Zhang

“…Simultaneously, a Historical Integration Module is introduced to fuse the objects’ characteristics across historical temporal images, while leveraging the features of historical images. Furthermore, the Feature Alignment Fusion Module mitigates pseudo changes by computing feature offsets and aligning images in the feature space. …”
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Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model by Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Faeiz M. Alserhani, Piyush Kumar Shukla, J. Shreyas

“…The Spatial pyramid pooling (SPP) block of the backbone of the baseline YOLOv6 model is replaced with a residual block. This mitigates semantic loss, reduces information loss, and eliminates the low-resolution feature layer. …”
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Prediction of Potato Rot Level by Using Electronic Nose Based on Data Augmentation and Channel Attention Conditional Convolutional Neural Networks by Jiayu Mai, Haonan Lin, Xuezhen Hong, Zhenbo Wei

“…The inclusion of GMEGAN-generated datasets further enhanced classification performance, especially for feature-optimized Conditional CNN models, with an observed increase in accuracy of up to 5.55%. …”
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Dynamic Deformation Analysis of Super High-Rise Buildings Based on GNSS and Accelerometer Fusion by Xingxing Xiao, Houzeng Han, Jian Wang, Dong Li, Cai Chen, Lei Wang

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Interferometric differential high-frequency lock-in probe for laser-induced vacuum birefringence by R. G. Bullis, U. D. Jentschura, D. C. Yost

“…This measurement technique features cavity-enhanced pump and probe pulses, as well as an independent control pulse. …”
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Domain generalization method based on cross-space multi-scale information aggregation and inference consistency by LI Tuoxin, XIANG Fengtao, CHEN Junhai, ZHANG Xiaobo, LYU Yunxiao

“…Comparative experiments and analysis conducted on multiple public datasets demonstrate that the proposed method exhibits superior performance in domain generalization, effectively mitigating the impact of domain-specific features on model performance and providing a technical reference for addressing domain shift problems.…”
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A Cross-Modal Emergency Recognition Method Integrating Attentional Collaboration and Contrastive Learning by HUANG Shaonian, PENG Yongtao, WEN Peiran, LIU Yao

“…Next, a cross-modal attentional collaboration network is introduced to capture intricate relationships between image-text features, enhancing inter-modal consistency and mitigating the influence of misleading information. …”
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Fault Detection in Harmonic Drive Using Multi-Sensor Data Fusion and Gravitational Search Algorithm by Nan-Kai Hsieh, Tsung-Yu Yu

“…To enhance diagnostic accuracy, the research employs wavelet packet decomposition (WPD) and empirical mode decomposition (EMD) to extract multi-scale features from vibration signals. These features are subsequently fused, and GSA is used to optimize the high-dimensional fused features, eliminating redundant data and mitigating overfitting. …”
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Debiased Learning via Composed Conceptual Sensitivity Regularization by Sunghwan Joo, Taesup Moon

“…CCSR utilizes concept gradients to assign individualized CAVs for each sample, enabling the handling of non-linearly distributed spurious features in embedding space. Additionally, our method employs multiple CAVs for regularization, effectively mitigating spurious features both locally and globally. …”
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ANF-Net: A Refined Segmentation Network for Road Scenes with Multiple Noises and Various Morphologies of Cracks by Xiao Hu, Qihao Chen, Xiuguo Liu, Gang Deng, Cheng Chi, Bin Wang

“…When extracting crack features, on one hand, the network introduces an attention module tailored for crack scenes to learn pixel-wise feature weights, enabling the network to focus on crack regions and thereby reducing the impact of similar background features, mitigating false positives caused by noise misclassification. …”
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Uncovering the Web of Secrets Surrounding Employee Monitoring Software: A Content Analysis of Information Provided by Vendors by Felicia Laksanadjaja, Oscar Oviedo-Trespalacios

“…The findings show that risk-mitigating features are uncommon in the solutions offered by these companies. …”
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Pseudo-Multiview Learning Using Subjective Logic for Enhanced Classification Accuracy by Dat Ngo

“…This approach adaptively assigns confidence levels to each view, ensuring more effective integration of complementary information while mitigating the impact of noisy or less relevant features. …”
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SIAT: Pedestrian trajectory prediction via social interaction-aware transformer by Chengdong Wang, Jianming Wang, Wenbo Gao, Lei Guo

“…Abstract Pedestrian trajectory prediction is crucial for mitigating collision risks in intelligent transportation and surveillance systems. …”
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Methodological Proposals for Teaching the Intonation of Politeness in Catalan by Marta Bartolí Rigol, Empar Devís Herraiz

“…The objective of this research was to discover the melodic features of mitigating politeness used by Catalan speakers with the aim of providing methodological resources to teachers of Catalan as a foreign language. …”
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IterDBR: Iterative Generative Dataset Bias Reduction Framework for NLU Models by Xiaoyue Wang, Xin Liu

“…Existing dataset refinement methods frequently depend on predefined biased features, limiting their ability to address hidden biases. …”
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CL-SR: Boosting Imbalanced Image Classification with Contrastive Learning and Synthetic Minority Oversampling Technique Based on Rough Set Theory Integration by Xiaoling Gao, Nursuriati Jamil, Muhammad Izzad Ramli

“…Our method leverages contrastive learning to refine representation learning and balance features, thus effectively mitigating the challenges of imbalanced image classification. …”
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