Fast binary logistic regression by Nurdan Ayse Saran, Fatih Nar

“…Furthermore, to address the common problem of collinear features, we apply singular value decomposition (SVD), resulting in a low-rank representation commonly used to reduce computational complexity while preserving essential features and mitigating noise. …”
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High-Frequency Workpiece Image Recognition Model Based on Hybrid Attention Mechanism by Jiaqi Deng, Chenglong Sun, Xin Liu, Gang Du, Liangzhong Jiang, Xu Yang

“…Subsequently, lightweight convolution, including one-dimensional and dilated convolutions, is employed to enhance convolutional attention and reduce the model’s parameter count, extracting original image features with robustness to strong lighting and mitigating the impact of lighting conditions on recognition outcomes. …”
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Classification of Liver Fibrosis From Heterogeneous Ultrasound Image by Yunsang Joo, Hyun-Cheol Park, O-Joun Lee, Changhan Yoon, Moon Hyung Choi, Chang Choi

“…However, CNN models are also trained on the features that reflect the inherent bias of the imaging machine used for image acquisition. …”
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TomaFDNet: A multiscale focused diffusion-based model for tomato disease detection by Rijun Wang, Rijun Wang, Yesheng Chen, Fulong Liang, Xiangwei Mou, Xiangwei Mou, Guanghao Zhang, Hao Jin

“…Effective detection of these diseases is essential for enhancing agricultural productivity and mitigating economic losses. Current tomato leaf disease detection methods, however, encounter challenges in extracting multi-scale features, identifying small targets, and mitigating complex background interference. …”
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Wind Turbine Radar Cross Section by David Jenn, Cuong Ton

“…The unique electromagnetic scattering features, the effect of materials, and methods of mitigating wind turbine clutter are also discussed.…”
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Precision Denoising in Medical Imaging via Generative Adversarial Network-Aided Low-Noise Discriminator Technique by Turki M. Alanazi, Paolo Mercorelli

“…Denoising is a component of traditional image pre-processing that helps prevent incorrect disease diagnosis. Mitigating the noise becomes difficult if there are differences in the low-level segment features. …”
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Sparse Decomposition-Based Anti-Spoofing Framework for GNSS Receiver: Spoofing Detection, Classification, and Position Recovery by Yuxin He, Xuebin Zhuang, Bing Xu

“…A sparse decomposition algorithm with non-negative constraints limited by signal power magnitudes is proposed to achieve accurate spoofing detections while extracting key features of the received signals. In the classification stage, these features continuously refine each channel of the receiver’s code tracking loop, ensuring that it tracks either the authentic or counterfeit signal components. …”
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Heartbeat detection and personal authentication using a 60 GHz Doppler sensor by Takuma Asano, Shintaro Izumi, Hiroshi Kawaguchi

“…Compared with conventional methods, this approach demonstrated superior performance by effectively encoding subject-specific features while mitigating noise-related challenges.ConclusionThe proposed method enhanced the feasibility of non-contact heartbeat-based authentication by achieving high accuracy while addressing noise-related challenges. …”
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Environmental remediation in foreign countries: experience of legal regulation by A. K. Akhmadiev, V. N. Ekzaryan

“…The authors described the features of each group and identified the characteristic features of environmental remediation management. …”
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Exploring the impact of urban morphology on river cooling effects: A case study of the Arakawa river in Tokyo by Liang Zhang, Hasi Bagan, Chaomin Chen, Takahiro Yoshida

“…The impact of water bodies on mitigating temperature has gained growing attention due to the worsening urban heat island (UHI) phenomenon and efforts to develop mitigation strategies. …”
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Development of a Cost-Efficient and Glaucoma-Specialized OD/OC Segmentation Model for Varying Clinical Scenarios by Kai Liu, Jicong Zhang

“…In summary, our study illustrates a concerted effort to target confirmed glaucoma samples, mitigating the inherent bias issue in most existing models. …”
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Enhancing Healthcare Security: A Unified RBAC and ABAC Risk-Aware Access Control Approach by Hany F. Atlam, Yifu Yang

“…Traditional access control models like Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) have limitations in mitigating evolving risks in these systems. Despite their unique features, these models face limitations in mitigating evolving risks in healthcare systems. …”
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Quote-and-Reply in WeChat: A Conversation Analytic Study by Yajing Yang

“…Findings reveal how Q&R transforms digital communication by mitigating challenges of multi-party chats and asynchronous interactions. …”
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Optimizing EEG-Based Sleep Staging: Adversarial Deep Learning Joint Domain Adaptation by Roya Ghasemigarjan, Mohammad Mikaeili, Seyed Kamaledin Setarehdan

“…The approach consistently demonstrates the ability to generate robust and transferable features, mitigating the impact of ambiguous features near original class boundaries. …”
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HYBRID FIREFLY AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR DESIGN OF NON-LINEAR CHANNEL EQUALIZER by Vundavalli Ravindra, Pradyumna Kumar Mohapatra, Ravi Narayan Panda, Saroja Kumar Rout

“…Higher exploitation and exploration capabilities, as well as an improved ability to escape from local minima, are features of the suggested training plan. Furthermore, we compare the features of FFPSO with the classical features of FF and PSO. …”
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Social Media Text Stance Detection Based on Large Language Models by LI Juhao, SHI Lei, DING Meng, LEI Yongsheng, ZHAO Dongyue, CHEN Long

“…To enhance the model’s ability to extract and represent stance features, a task-specific adapter is integrated into the model. …”
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Dual-Filter Cross Attention and Onion Pooling Network for Enhanced Few-Shot Medical Image Segmentation by Lina Ni, Yang Liu, Zekun Zhang, Yongtao Li, Jinquan Zhang

“…During the prototype learning stage, we introduce a dual-filter cross attention (DFCA) module to avoid entanglement between query background features and support foreground features, effectively integrating query foreground features into support prototypes. …”
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GRU2-Net: Global response double U-shaped network for lesion segmentation in ultrasound images by Xiaokai Jiang, Xuewen Ding, Jinying Ma, Chunyu Liu, Xinyi Li

“…Furthermore, we design a Multi-Scale Linear Attention Gate to refine skip connections by emphasizing salient features and suppressing redundancy, thereby mitigating noise interference and improving decoding efficiency. …”
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Detection of sensors used for adversarial examples against machine learning models by Ade Kurniawan, Yuichi Ohsita, Masayuki Murata

“…This study introduces a novel detection method using a feature-removable model (FRM), which allows the selective removal of features to identify inconsistencies in the model's outputs when different sensor features are altered. …”
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Fault Diagnosis for Rolling Bearings Under Complex Working Conditions Based on Domain-Conditioned Adaptation by Xu Zhang, Gaoquan Gu

“…The method then aligns source and target domain features by minimizing inter-domain feature distribution discrepancies, explicitly mitigating the distribution variations induced by changes in working conditions. …”
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