Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models by M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

“…These models, developed using a PSCAD-simulated dataset augmented with synthetic cyber-attacks, exhibit considerable advancements in threat identification and mitigation. The study emphasizes the difficulties in identifying cyber risks in grids with significant renewable integration, such as frequency instability and diminished system inertia, and suggests energy storage alternatives and sophisticated forecasting models to mitigate these issues. …”
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UAV Signal Modulation Recognition Algorithm Based on Joint Features by Yang Zheng, Zhihai Zhuo

“…To address the limitations of existing algorithms that overly rely on single features, resulting in low recognition rates and excessive model complexity, this paper proposes a drone signal modulation recognition algorithm based on joint features. …”
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HYPERPHAGIA REACTIONS WITHIN EATING DISORDERS. CLINICAL FEATURES AND THERAPY by O. A. Gladyshev

“…To evaluate clinical features of hyperphagia reactions, their significance in attraction abnormities within eating disorders and treatment options for these conditions with escitalopram.Material and methods. …”
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Kronecker convolutional feature pyramid for fault diagnosis in rolling bearings by Sadia Batool, Abbas Ali Abid, Muhammad Asif, Sagheer Abbas, Khan Muhammad Adnan, Asghar Ali Shah, Taher M. Ghazal

“…The proposed research enhances feature representation and classification accuracy while mitigating model degradation. …”
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WSNetDefender: Securing Wireless Sensor Networks Using BBIDNet and Fuzzy-DQN Threat Mitigation System (FD-TMS) by Mohammed A. Aleisa

“…The extracted JWHO-based features are utilized to train the new BBIDNet, which makes the accurate detection of intruders in WSN. …”
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Remedies from nature: exploring the moderating mechanisms of natural landscape features on emotions and perceived restoration in urban parks by Yihe Li, Wenbo Li, Yang Liu

“…However, few studies have explored the extent to which natural landscape features in urban parks can mitigate or compensate for the negative effects of artificial landscape features on emotions and restoration. …”
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FEATURES OF MONETARY POLICY OF FOREIGN DEVELOPED COUNTRIES DURING THE PANDEMIC by T. A. Gorbacheva

“…The study reveals distinctive features of anti-crisis measures of monetary regulation bodies.…”
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Learning dynamical systems with hit-and-run random feature maps by Pinak Mandal, Georg A. Gottwald

“…We introduce skip connections and construct a deep variant of random feature maps by combining several units. To mitigate the curse of dimensionality, we introduce localization where we learn local maps, employing conditional independence. …”
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FEATURES OF BRINGING SMALL AND MEDIUM-SIZED BUSINESSES TO ADMINISTRATIVE RESPONSIBILITY by VASILYEVA O.N., KESHISHIAN T.S.

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GFADE: generalized feature adaptation and discrimination enhancement for deepfake detection by ZhiYong Tian, Junkai Yi

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Geographical features and management strategies for microplastic loads in freshwater lakes by Huike Dong, Ruixuan Zhang, Xiaoping Wang, Jiamin Zeng, Lei Chai, Xuerui Niu, Li Xu, Yunqiao Zhou, Ping Gong, Qianxue Yin

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Feature Transformation-Based Few-Shot Class-Incremental Learning by Xubo Zhang, Yang Luo

“…In the process of few-shot class-incremental learning, the limited number of samples for newly introduced classes makes it difficult to adequately adapt model parameters, resulting in poor feature representations for these classes. To address this issue, this paper proposes a feature transformation method that mitigates feature degradation in few-shot incremental learning. …”
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ACFM: Adaptive Channel Feature Matching for Pedestrian Re-Identification by Zhengcai Lu, Zhengwei Tian

“…To address these challenges, this paper proposes an efficient adaptive channel feature matching (ACFM) strategy. This method adaptively aligns channel feature maps according to image content, enables accurate matching of local features across images, and mitigates the need for supplementary data. …”
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Exposing Optimal Feature Sets for Enhancing Machine Learning Performance by Hiba Mohammed Al-Marwai, Ghaleb H. Al-Gaphari, Mohammed Mohammed Zayed

“…The majority of high dimensional gene expression data contain a significant amount of redundant genes, posing challenges for machine learning algorithms due to their high dimensionality. Feature selection has shown to be a successful method for improving classification algorithms performance by addressing two primary objectives: reducing the number of features and improving classification accuracy. …”
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Aging-Invariant Sheep Face Recognition Through Feature Decoupling by Suhui Liu, Chuanzhong Xuan, Zhaohui Tang, Guangpu Wang, Xinyu Gao, Zhipan Wang

“…This study introduces a lifelong biometric learning (LBL) mechanism to mitigate recognition accuracy degradation caused by dynamic facial feature variations in growing sheep. …”
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Clinical features and outcomes of infective endocarditis in persons experiencing homelessness by Torrance Teng, Kyle Crooker, Tess Hickey, Max HoddWells, Ashwini Sarathy, Sean Muniz, Jennifer Lor, Amy Chang, Bradley J. Tompkins, Aaron O’Brien, Elly Riser, Devika Singh, Jean Dejace, Andrew J. Hale

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Clinical and genetic features of UNC13D deficiency with hypogammaglobulinemia by Linyan Xiong, Linyan Xiong, Linyan Xiong, Linyan Xiong, Qin Zhao, Qin Zhao, Qin Zhao, Qian Zhao, Qian Zhao, Qian Zhao, Zhiyong Zhang, Zhiyong Zhang, Zhiyong Zhang, Zhiyong Zhang, Yunfei An, Yunfei An, Yunfei An, Yunfei An, Xuemei Tang, Xuemei Tang, Xuemei Tang, Xuemei Tang, Hirokazu Kanegane, Xi Yang, Xi Yang, Xi Yang, Xi Yang, Xiaodong Zhao, Xiaodong Zhao, Xiaodong Zhao, Xiaodong Zhao

“…Allogeneic HSCT may help mitigate immune dysregulation.…”
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Intrusion Detection System Framework for SDN-Based IoT Networks Using Deep Learning Approaches With XAI-Based Feature Selection Techniques and Domain-Constrained Features by Manlaibaatar Tserenkhuu, Md Delwar Hossain, Yuzo Taenaka, Youki Kadobayashi

“…The experimental results reveal that Shapley Additive Explanations and Random Forest feature importance are the reliable feature selection techniques, as they yield consistent results across all deep learning models and different feature subsets. …”
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YLOMF: You Look Once for Multi-Feature—A Multi-Feature Multi-Task Network for Intelligent Real-Time Perception in Autonomous Driving by B. N. Anoop, S. K. Abhilash, Venu Madhav Nookala, S. Prita, S. Raghavendra

“…It features modular feature component heads, ensuring customizable deployment and real-time efficiency on edge devices. …”
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Multipath Effects Mitigation in Offshore Construction Platform GNSS-RTK Displacement Monitoring Using Parametric Temporal Convolution Network by Yiyang Jiang, Cheng Guo, Jinfeng Wang, Rongqiao Xu

“…Through time domain and frequency domain analysis, it has been demonstrated that the trained network can capture the main features of multipath models and suppress those components in both the data distribution and frequency band, effectively mitigating the interference of multipath errors in observations.…”
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