Detection of Malicious Clients in Federated Learning Using Graph Neural Network by Anee Sharma, Ningrinla Marchang

“…Furthermore, isolating detected attackers during targeted rounds (20-60) substantially maintains FL global model performance, thereby mitigating the cascading effects of poisoned updates and ensuring system stability. …”
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Functional amyloid formation within mammalian tissue. by Douglas M Fowler, Atanas V Koulov, Christelle Alory-Jost, Michael S Marks, William E Balch, Jeffery W Kelly

“…While functional and pathological amyloid share similar structural features, critical differences in packaging and kinetics of assembly enable the usage of Pmel17 amyloid for normal function. …”
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Aneuploidy confers a unique transcriptional and phenotypic profile to Candida albicans by Anna I. Mackey, Robert J. Fillinger, P. Shane Hendricks, Gregory J. Thomson, Christina A. Cuomo, Richard J. Bennett, Matthew Z. Anderson

“…The increased expression of reactive oxygen species (ROS) mitigating enzymes in aneuploid cells reduced the levels of ROS but caused an acute sensitivity to both internal and external sources of oxidative stress. …”
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Lactoferricin enables adenovirus infection of human skeletal muscle cells by Katarina Danskog, Nitesh Mistry, Carin Årdahl, Madeleine Durbeej, Mattias N. E. Forsell, Annasara Lenman, Niklas Arnberg

“…Abstract Although adenoviruses (AdVs) possess advantageous features as vectors, several challenges remain. These include a high prevalence of neutralizing antibodies against certain AdV types and the inability to efficiently transduce CAR-deficient cells and tissues. …”
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Full-span named entity recognition with boundary regression by Junhui Yu, Yanping Chen, Qinghua Zheng, Yuefei Wu, Ping Chen

“…It is effective in mitigating the computational complexity and data imbalance problems in full-span named entity recognition.…”
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Enhancing Fall Detection Accuracy: The Ground-Face Coordinate System for 3D Accelerometer Data by Abdullah Talha Sözer

“…Detailed analysis was conducted using frequently preferred features in FD studies, and fall detection was performed with various classifiers. …”
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DeepInvesting: Stock market predictions with a sequence-oriented BiLSTM stacked model – A dataset case study of AMZN by Ashkan Safari, Mohammad Ali Badamchizadeh

“…Employing a Sequence-Oriented, Long-Term Dependent (SoLTD) architecture featuring Bidirectional Long Short-Term Memory (BiLSTM) networks, DeepInvesting is applied to essential features of the Amazon Corp. …”
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Development of a Laser Surgical Device with Vibration Compensation: Mechanical Design and Validation of Its Compliant Mechanism by Emil Ionuț Niță, Daniel C. Comeagă, Dragos A. Apostol, Virgil-Florin Duma

“…Mitigating hand tremors in surgical applications has a critical role in laser-based medical procedures. …”
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Nature-Based Urbanism for Enhancing Senior Citizens’ Outdoor Thermal Comfort in High-Density Mediterranean Cities: ENVI-met Findings by Evgenia Tousi, Athina Mela, Areti Tseliou

“…Focusing on the refugee-built area of Nikea in Greater Athens, this research explores the effectiveness of nature-based solutions (NBS) in mitigating extreme heat through spatial interventions tailored to the needs of older adults. …”
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Targeting Glucose Metabolism: A Novel Therapeutic Approach for Parkinson’s Disease by Ahmed Tanvir, Junghyun Jo, Sang Myun Park

“…PD is characterized by the progressive loss of dopaminergic neurons in the substantia nigra, accompanied by the accumulation of α-synuclein protein aggregates. These pathological features are exacerbated by mitochondrial dysfunction, oxidative stress, and neuroinflammation, all of which are influenced by glucose metabolism disruptions. …”
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UAV object tracking algorithm based on spatial saliency-aware correlation filter by Changhui Wu, Jinrong Shen, Kaiwei Chen, Yingpin Chen, Yuan Liao

“…However, existing correlation filter-based tracking methods still face issues such as redundant visual features with weak discriminative ability, inadequate spatio-temporal information mining, and filter degradation. …”
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Learning physics and temporal dependencies: real-time modeling of water distribution systems via Kolmogorov–Arnold attention networks by Zekun Zou, Zhihong Long, Gang Xu, Raziyeh Farmani, Tingchao Yu, Shipeng Chu

“…Additionally, a multi-equation soft-constraint formulation embeds mass and energy conservation laws into the loss function, mitigating cumulative errors and enhancing physical consistency. …”
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Estimating hypoxia-induced brain dysfunction and cognitive decline through exhaled breath monitoring by Sean W. Harshman, Kiersten J. Weatherbie, Alena R. Veigl, Anne E. Jung, Madison A. Stoner-Dixon, Aubrianne I. Dash, Christopher J. Land, Dylan T. Slizewski, Eli F. Kelley, Jennifer Schwanekamp-Kerr, Timothy Halverson, Christina N. Davidson, Christopher W. Myers, Kara J. Blacker, Jennifer A. Martin, Rhonda L. Pitsch

“…Abstract Background Hypoxia remains a concern for aircrew operating high performance aircraft. Sensing and mitigating hypoxia is a line of active research within the US Air Force and US Navy. …”
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Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Federated Learning and SHAP by Kazi Fatema, Samrat Kumar Dey, Mehrin Anannya, Risala Tasin Khan, Mohammad Mamunur Rashid, Chunhua Su, Rashed Mazumder

“…The proposed approach enables IDS models to be collaboratively trained across multiple decentralized devices while ensuring that local data remain securely on edge nodes, thus mitigating privacy risks. The primary objectives of the proposed study are to reveal the privacy concerns of centralized systems and identify the most significant features to comprehend the contribution of the features to the final output. …”
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A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study by Aoyu Li, Jingwen Li, Yishan Hu, Yan Geng, Yan Qiang, Juanjuan Zhao

“…To address the challenges (eg, the curse of dimensionality and increased model complexity) posed by high-dimensional features, we developed a dynamic adaptive feature selection optimization algorithm to identify the most impactful subset of features for classification performance. …”
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Smart Grid Security: Proactive Prediction of Advanced Persistent Threats by Motahareh Dehghan, Erfan Khosravain

“…Experimental results show that the ProAPT model significantly outperforms traditional machine learning algorithms like Random Forest, Support Vector Machines, and Logistic Regression, achieving 93.8% accuracy, 93.12% precision, 95.2% recall, and 94.15% F1-Score. The feature importance analysis reveals that traffic-related features such as packet size variance and connection duration are crucial in identifying Advanced Persistent Threats. …”
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Multiview Deep Autoencoder-Inspired Layerwise Error-Correcting Non-Negative Matrix Factorization by Yuan Liu, Yuan Wan, Zaili Yang, Huanhuan Li

“…This approach can facilitate the extraction of hierarchical features while effectively mitigating reconstruction error accumulation in deep architectures. …”
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Prediction Capability of Analytical Hierarchy Process (AHP) in Badland Susceptibility Mapping: The Foglia River Basin (Italy) Case of Study by Margherita Bianchini, Stefano Morelli, Mirko Francioni, Roberta Bonì

“…Traditional field-based mapping of these features can be both time-consuming and costly, particularly over larger basins. …”
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Relationship between urban traffic crashes and temporal/meteorological conditions: understanding and predicting the effects by Xiao Tang, Zihan Liu, Zhenlin Wei

“…The feature importance analysis has shown that time period and factors such as holiday, temperature and season are most important factors. …”
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Time-frequency analysis and autoencoder approach for network traffic anomaly detection by Ruchira Purohit, Satish Kumar, Sameer Sayyad, Ketan Kotecha

“…Detection of anomalies in network traffic is critical to mitigating cyber threats. This study integrates continuous wavelet transform (CWT), discrete-time Fourier transform (DTFT), short-time Fourier transform (STFT), and autoencoders to identify anomalous network behaviour. …”
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