MS-POFT: multiscale phase-orientation guided feature transform for multi-modal image matching by Zhizheng Zhang, Pengcheng Wei, Zhenfeng Shao, Hai Xiao, Qingwei Zhuang, Zhiqing Tang, Zhijun Wen, Yu Wang, Yuyan Yan, Mingqiang Guo

“…The key to addressing MRSI matching lies in mitigating NRDs to achieve robust extraction and description of features. …”
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Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe? by Rosario Milazzo, Sophie M. Fosson, Lia Morra, Luca Sterpone

“…Experimental results suggest that SSL pretraining, whether used alone or in combination with error mitigation techniques, generally enhances DNN fault tolerance. …”
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Pathogenicity and virulence of monkeypox at the human-animal-ecology interface by Md. Mazharul Islam, Pronesh Dutta, Rijwana Rashid, Syed Shariq Jaffery, Ariful Islam, Elmoubashar Farag, Susu M Zughaier, Devendra Bansal, Mohammad Mahmudul Hassan

“…The current review presents an update on the virus, including ecology and evolution, possible drivers of transmission, clinical features and management, knowledge gaps, and research priorities to reduce the disease transmission. …”
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Critical evaluation of feature importance assessment in FFNN-based models for predicting Kamlet-Taft parameters by Yoshiyasu Takefuji

“…This paper advocates for employing robust statistical methods, like Spearman's correlation, to effectively assess genuine associations and mitigate biases in feature importance analysis.…”
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MPDCGA: a real-coded multi-population dynamic competitive genetic algorithm for feature selection by Chuantao Li, Chen Huang, Ruihan Chen, Zhuohong Yu, Sheng Li

“…However, conventional GAs are afflicted by premature convergence and difficulty in preserving population diversity. To mitigate these limitations, this study proposes a real-coded multi-population dynamic competitive genetic algorithm (MPDCGA) for feature selection. …”
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Exploring Urban Crime Through the Lens of an Adaptive Region Partitioning Technique and Built Environment Features by Yuchen Yan, Hua Wang, Wei Quan, Yuxin Wang

“…This paper proposes a new region partitioning method with multi-density distribution, namely the Adaptive Region Partitioning (ARP) method, and explores the impact of built environment features under different region partitioning methods on crime analysis. …”
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Enhancing sleep stage classification with ballistocardiogram signals: feature selection using attention mechanism and XGBoost by Chao Luo, Banteng Liu, Jiayu Chai, Zhijian Teng

“…The attention-XGBoost fusion effectively mitigates interference from noisy and redundant features while optimizing feature relevance, demonstrating robust adaptability to the complexity of sleep signals. …”
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GFDet: Multi-Level Feature Fusion Network for Caries Detection Using Dental Endoscope Images by Nan Gao, Yukai Li, Peng Chen, Jijun Tang, Tianshuang Liu

“…Specifically, FSPN performs upsampling with the semantic information of adjacent feature layers to mitigate the semantic information loss due to sharp channel reduction and enhance discriminative features by aggregating fine-grained details and high-level semantics. …”
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The resurgence of monkeypox: Epidemiology, clinical features, and public health implications in the post-smallpox eradication era by Parminder Singh, Sathvik Belagodu Sridhar, Javedh Shareef, Sirajunisa Talath, Priyanka Mohapatra, Mahalaqua Nazli Khatib, Suhas Ballal, Mandeep Kaur, Deepak Nathiya, Shilpa Sharma, G.V. Siva Prasad, Aashna Sinha, Amit Varma, Ganesh Bushi, Abhay M. Gaidhane, Prakasini Satapathy, Muhammed Shabil, Renu Sah, Jaffar A. Al-Tawfiq, Ranjit Sah, Alfonso J. Rodriguez-Morales

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Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module by Chenrui Kang, Lin Jiao, Kang Liu, Zhigui Liu, Rujing Wang

“…Therefore, to overcome these limitations, we first designed a co-ordinate-attention-based feature pyramid network, termed CAFPN, to extract the salient visual features that distinguish small insects from each other. …”
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Research on the performance of the SegFormer model with fusion of edge feature extraction for metal corrosion detection by Bingnan Yan, Conghui Wang, Xiaolong Hao

“…Secondly, to mitigate the loss of target feature information during the reconstruction of the decoder, this paper adopts the gradual upsampling decoding layer design. …”
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Can behavioral features reveal lying in an online personality questionnaire? The impact of mouse dynamics and speech by Eduard Kuric, Peter Demcak, Peter Smrecek, Stefan Benus

“…Results show that in realistic conditions for an online questionnaire, the accuracy of lying prediction from mouse data can decline compared to controlled laboratory settings, and time-based features can lose significance. We identify speech-based features that may mitigate this deficiency.…”
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Enhancing Security of Proof-of-Learning Against Spoofing Attacks Using Feature-Based Model Watermarking by Ozgur Ural, Kenji Yoshigoe

“…This research integrates PoL with feature-based model watermarking, embedding the watermark directly into the model’s features or parameters. …”
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Enhanced YOLOv10 Framework Featuring DPAM and DALSM for Real-Time Underwater Object Detection by Suthir Sriram, Aburvan P., Arun Kaarthic T. P., Nivethitha Vijayaraj, Thangavel Murugan

“…YOLOv10 is notable for its effective, robust architecture, featuring significant components: advanced backbone networks and enhanced feature pyramid networks that also deliver anchor-free detection. …”
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CSSDet: small object detection via cross-scale feature enhancement on drone-view images by Gui Cheng, Qing Ding, Bowen Cai, Chaoya Dang, Yu Wang, Xiaolong Zuo, Zhenfeng Shao

“…CSSDet integrates an additional detection head for small objects and employs a bidirectional weighted feature pyramid network for effective cross-scale feature fusion, enhancing global perceptual capability. …”
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Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion by Yucheng Pan, Jiasi Chen, Peiwen Wu, Hongsheng Zhong, Zihao Deng, Daozong Sun

“…Furthermore, the CBAM is integrated into the decoding area to refine feature fusion and mitigate the issue of missing small-target defects. …”
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MFE-DDI: A multi-view feature encoding framework for drug-drug interaction prediction by Lingfeng Wang, Yinghong Li, Yaozheng Zhou, Liping Guo, Congzhou Chen

“…Concurrently, the feature information extracted from different feature encoding channels is fused in the attention-based fusion module to fully convey the essence of drugs. …”
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A Multifunctional Wind Power Conversion System With Sensorless Operation and Power Quality Improvement Features by Abdoalateef Alzhrani, Pranay Krishna Sahay, Sreeram Naveen Chandra, Vedantham Lakshmi Srinivas

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Early-Fault Feature Extraction for Rolling Bearings Based on Parameter-Optimized Variation Mode Decomposition by Junjie Ni, Gangjin Huang, Jing Yang, Nan Wang, Junheng Fu

“…Experimental findings demonstrate that, as opposed to alternative techniques, this approach achieves superior performance in extracting early-fault frequencies in rolling bearings, offering a novel solution for early-fault feature extraction.…”
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Local Sub-Block Contrast and Spatial–Spectral Gradient Feature Fusion for Hyperspectral Anomaly Detection by Dong Zhao, Xingchen Xu, Mingtao You, Pattathal V. Arun, Zhe Zhao, Jiahong Ren, Li Wu, Huixin Zhou

“…To effectively detect low-contrast targets, we introduce a novel local sub-block ratio-multiply contrast method that enhances anomalous regions while suppressing the background. Additionally, to mitigate the challenges posed by complex backgrounds, a feature extraction technique based on spatial–spectral gradients is proposed. …”
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