Integrating the Prior Shape Knowledge Into Deep Model and Feature Fusion for Topologically Effective Brain Tumor Segmentation by Salma Asif, Ahmad Raza Shahid, Kiran Aftab, Syed Ather Enam

“…However, deep learning models prioritize either local or global features, failing to adequately capture topological features or integrate prior shape knowledge. …”
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Transferring enhanced material knowledge via image quality enhancement and feature distillation for pavement condition identification by Zejiu Wu, Yuxing Zou, Boyang Liu, Zhijie Li, Donghong Ji, Hongbin Zhang

“…The IQEFD model first leverages ConvNeXt as its backbone to extract high-quality basic features. Then, a bidirectional fusion module embedded with a hybrid attention mechanism (HAM) is devised to effectively extract multi-scale refined features, thereby mitigating information loss during continuous upsampling and downsampling. …”
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PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir, Muhammad Usama Tanveer, Hasan J. Alyamani, Amine Bermak, Atiq Ur Rehman

“…The ensemble methodology harnesses the complementary strengths of these models, improving feature representation and mitigating overfitting, a prevalent issue in white-box models. …”
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Improved Liquefaction Hazard Assessment via Deep Feature Extraction and Stacked Ensemble Learning on Microtremor Data by Oussama Arab, Soufiana Mekouar, Mohamed Mastere, Roberto Cabieces, David Rodríguez Collantes

“…Natural hazard assessment is one of the turning points in mitigating disaster risk, which typically contributes to stronger urban resilience and more sustainable urban development. …”
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MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study by Salma Hassan, Dawlat Akaila, Maryam Arjemandi, Vijay Papineni, Mohammad Yaqub

“…The proposed method segments the longitudinal MRI scans and extracts advanced radiomics features. Subsequently, it synergistically integrates the radiomics features with an ensemble of clinical, cognitive, and genetic data to provide state-of-the-art diagnostic accuracy, setting a new benchmark in classification accuracy on a large public dataset. …”
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Detecting forest and linear woody feature change between 1954 and 2019 in Southeastern Canadian agroecosystems for regional biodiversity assessment by Darren Pouliot, Niloofar Alavi, Mao Mao, Jon Pasher, Jason Duffe

“…Effectively mapping and detecting changes in forests and linear woody features (LWFs) is crucial for assessing their impact on biodiversity and ecosystem services. …”
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A matter of climbing: The first suitability index for artificial water sites to assess architectural barriers for amphibians – A practical tool for ecologists, managers, and conser... by Antonio Romano

“…Practical solutions for mitigating architectural barriers for amphibians are proposed, with emphasis on the importance of both entry and exit features. …”
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Quantitative risk assessment and eco-engineering mitigation strategies for debris flows utilizing dynamic process simulation in Shuzheng gully, Jiuzhaigou valley scenic and histori... by Dongxu Yang, Dongxu Yang, Xin Zong, Bin Wu, Yiming Wang, Binqi Liang, Fangkai Wan, Jiankang Liu, Jiansong Peng

“…Debris flows pose severe threats to ecologically sensitive mountain areas, especially UNESCO World Heritage sites, where traditional mitigation measures often fail to balance risk reduction with environmental conservation. …”
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MS-275 facilitates osseointegration in osteoporotic rats by mitigating oxidative stress via activation of the miR-200a/Keap1/Nrf2 signaling pathway by Junjie Yan, Qinsong Gu, Jianqiao Li, Zhi Zhou, Wenkai Jiang, Wengang Guan, Bin Chen, Yuhu Chen, Min Yang

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Repositioning Canagliflozin for Mitigation of Aluminium Chloride-Induced Alzheimer’s Disease: Involvement of TXNIP/NLRP3 Inflammasome Axis, Mitochondrial Dysfunction, and SIRT1/HMG... by Hemat A. Elariny, Ahmed M. Kabel, Heba Mohammed Refat M. Selim, Azza I. Helal, Doaa Abdelrahman, Hany M. Borg, Mennatallah A. Elkady, Lamees M. Dawood, Mohamed F. El-Badawy, Haifa Faisal A. Almalawi, El-Shaimaa A. Arafa, Shuruq E. Alsufyani, Hany H. Arab

“…<i>Conclusions:</i> The effects of canagliflozin on oxidative stress, mitochondrial functions, inflammatory pathways, and autophagy signals may open new gates towards the mitigation of the pathologic features of AD.…”
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Autism Spectrum disorder Detection in Toddlers and Adults Using Deep Learning by Abbas Sidra, Ojo Stephen, Krichen Moez, Alamro Meznah A., Mihoub Alaeddine, Vilcekova Lucia

“…Features are fused from the training and testing sets and then combined with the original dataset. …”
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Global Optical and SAR Image Registration Method Based on Local Distortion Division by Bangjie Li, Dongdong Guan, Yuzhen Xie, Xiaolong Zheng, Zhengsheng Chen, Lefei Pan, Weiheng Zhao, Deliang Xiang

“…This design effectively mitigates the information loss and feature degradation problems caused by pooling operations in conventional convolutional neural networks (CNNs). …”
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Single-Character-Based Embedding Feature Aggregation Using Cross-Attention for Scene Text Super-Resolution by Meng Wang, Qianqian Li, Haipeng Liu

“…Firstly, a dynamic feature extraction mechanism is employed to adaptively capture shallow features by dynamically adjusting multi-scale feature weights based on spatial representations. …”
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Reuse Out-of-Year Data to Enhance Land Cover Mapping via Feature Disentanglement and Contrastive Learning by Cassio F. Dantas, Raffaelle Gaetano, Claudia Paris, Dino Ienco

“…By separating domain-invariant and domain-specific features, <italic>REFeD</italic> isolates useful information associated to the downstream LC mapping task and mitigates distribution shifts between domains. …”
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Toward Quantum Interconnects Featuring Nanometer-to-Picometer Bandwidth Compression and THz-Range Quantum Frequency Conversion by Tim F. Weiss, Alberto Peruzzo

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FloodGenome: interpretable machine learning for decoding features shaping property flood risk predisposition in cities by Chenyue Liu, Ali Mostafavi

“…This tool offers critical insights for flood risk management, supporting the development of urban design strategies to mitigate flood risks.…”
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CSDNet: Context-Aware Segmentation of Disaster Aerial Imagery Using Detection-Guided Features and Lightweight Transformers by Ahcene Zetout, Mohand Saïd Allili

“…Additionally, we introduce a detection-guided feature fusion mechanism that integrates outputs from auxiliary detection tasks to mitigate class imbalance and improve discrimination of visually similar categories. …”
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Variable Filtered-Waveform Variational Mode Decomposition and Its Application in Rolling Bearing Fault Feature Extraction by Nuo Li, Hang Wang

“…By incorporating fractional-order constraints and dynamically adjusting filter waveforms, the proposed algorithm effectively mitigates mode mixing and over-smoothing issues. The mathematical framework of VFW-VMD is formulated, and its decomposition performance is validated through simulations involving both synthetic and real-world signals. …”
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A Comprehensive Feature Extraction Network for Deep-Learning-Based Wildfire Detection in Remote Sensing Imagery by Haiyan Pan, Die Luo, Yuewei Zhang

“…Consequently, existing methods inadequately capture the comprehensive characteristics of fire points. To mitigate these challenges, this study proposes a deep-learning-based fire point detection method that integrates Swin Transformer and BiLSTM for the extraction of the multi-dimensional features associated with fire points. …”
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MCRS-YOLO: Multi-Aggregation Cross-Scale Feature Fusion Object Detector for Remote Sensing Images by Lu Liu, Jun Li

“…Firstly, a Multi-Branch Aggregation (MBA) network is designed to enhance information flow and mitigate challenges caused by insufficient object feature representation. …”
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