Identifying building structure factors for urban heat mitigation: a hybrid methodology using Fuzzy Delphi Method and Confirmatory Factor Analysis by Raghad Almashhour, Ayman Alzaatreh

“…The findings highlight four main criteria: building design and materials, energy efficiency and technologies, urban morphology, and vegetation and green features. The feasibility of the methods was demonstrated through the robust identification of actionable strategies for mitigating urban heat impacts. …”
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Multiscale investigation of mechanical degradation in Ti3C2O2 assemblies and its Mitigation via black phosphorus integration by Siliang Yue, Hui Qi, Chenliang Li, Jing Guo, Zhe Wang

“…This modification alleviates stress concentrations and enhances fracture resistance, providing a promising approach to mitigating mechanical degradation in Ti3C2O2 assemblies.…”
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Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques by Hesham Kamal, Maggie Mashaly

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LSCD-Pose: A Feature Point Detection Model for Collaborative Perception in Airports by Ruifeng Meng, Jinlei Wang, Yuanhao Huang, Zhaofeng Xue, Yihao Hu, Biao Li

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Urban change detection of remote sensing images via deep-feature extraction by Haiying Wang, Mingzhong Wu

“…Building upon the classical architecture of U-Net, Bi-Unet utilizes bi-temporal images to compare and extract features. The incorporation of modified dense connections reduces network parameters while mitigating gradient disappearance through maximizing feature reuse. …”
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<i>Boswellia serrate</i> Gum Resin Mitigates Renal Toxicity: Role of TNF-α, Interleukins, TGF-β, and Lipid Peroxidation by Heba M. Eltahir, Abdel-Gawad S. Shalkami, Ahmed M. Shehata, Mohannad Almikhlafi, Ahmed J. Aldhafiri, Ali Alalawi, Muayad Albadrani, Ahmad Bakur Mahmoud, Mekky M. Abouzied

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Medical image segmentation by combining feature enhancement Swin Transformer and UperNet by Lin Zhang, Xiaochun Yin, Xuqi Liu, Zengguang Liu

“…The FE-ST backbone utilizes self-attention mechanisms to efficiently extract rich spatial and contextual features across different scales, while the AFF module adapts to multi-scale feature fusion, mitigating the loss of contextual information. …”
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Challenges and Mitigation Strategies in the Development and Feasibility Assessment of a Digital Mental Health Intervention for Depression (VMood): Mixed Methods Feasibility Study by Leena W Chau, Jill K Murphy, Vu Cong Nguyen, Hai Nhu Tran, Harry Minas, Raymond W Lam, Kanna Hayashi, Thi Thanh Xuan Nguyen, Emanuel Krebs, John O'Neil

“…Various solutions to help mitigate the challenges were used by the team. …”
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Multi-feature stock price prediction by LSTM networks based on VMD and TMFG by Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…The proposed model first employs Variational Mode Decomposition (VMD) to decompose the stock price time series into multiple smooth intrinsic mode functions (IMFs), reducing data complexity and mitigating noise interference. Subsequently, the TMFG algorithm is utilized for feature selection, simplifying the input data and accelerating the iterative convergence process. …”
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Adaptive dual-graph learning joint feature selection for EEG emotion recognition by Liangliang Hu, Congming Tan, Yin Tian

“…Domain-invariant feature selection projects EEG data from different domains into a shared subspace, capturing emotion-related features that are domain-independent, thereby effectively mitigating data differences across subjects and sessions. …”
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Learning High-Order Features for Fine-Grained Visual Categorization with Causal Inference by Yuhang Zhang, Yuan Wan, Jiahui Hao, Zaili Yang, Huanhuan Li

“…Recently, causal models have gained significant attention in natural language processing (NLP) and computer vision (CV) due to their capability of capturing features with causal relationships. This study addresses Fine-Grained Visual Categorization (FGVC) by incorporating high-order feature fusions to improve the representation of feature interactions while mitigating the influence of confounding factors through causal inference. …”
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Assessment of Artificial Light at Night Across Geographical Features in the Sicilian Coastal Zone by Vincenzo Maccarrone, Enza Maria Quinci

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A novel edge-feature attention fusion framework for underwater image enhancement by Shuai Shen, Haoyi Wang, Weitao Chen, Pingkang Wang, Qianyong Liang, Xuwen Qin, Xuwen Qin

“…To address these issues, this paper presents the CUG-UIEF algorithm, an underwater image enhancement framework leveraging edge feature attention fusion. The method comprises three modules: 1) an Attention-Guided Edge Feature Fusion Module that extracts edge information via edge operators and enhances object detail through multi-scale feature integration with channel-cross attention to resolve edge blurring; 2) a Spatial Information Enhancement Module that employs spatial-cross attention to capture spatial interrelationships and improve semantic representation, mitigating low signal-to-noise ratio; and 3) Multi-Dimensional Perception Optimization integrating perceptual, structural, and anomaly optimizations to address detail blurring and low contrast. …”
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Multi-granularity feature intersection learning for visible-infrared person re-identification by Sixian Chan, Jie Wang, Jiaao Cui, Jie Hu, Zhuorong Li, Jiafa Mao

“…Next, HPC spreads the identity loss across all layers to reduce the distance for gradient backpropagation and further optimize fine-grained features in shallow layers. Besides, FI loss combines representation and metric learning by incorporating hyperparameters of classifiers into metric learning, mitigating data bias and reducing the gap between the two learning processes. …”
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TDFNet: twice decoding V-Mamba-CNN Fusion features for building extraction by Wenlong Wang, Peng Yu, Mengmeng Li, Xiaojing Zhong, Yuanrong He, Hua Su, Yunxuan Zhou

“…Subsequently, a twice decoding strategy is implemented to enhance the learning of multi-scale features significantly, thereby mitigating the impact of tree occlusions and shadows. …”
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Identification of Clinical and Genomic Features Associated with SARS-CoV-2 Reinfections by Francisco Muñoz-López, Antoni E. Bordoy, Francesc Català-Moll, Verónica Saludes, David Panisello Yagüe, Mariona Parera, Ignacio Blanco, Pere-Joan Cardona, Cristina Casañ, Ana Blanco-Suárez, Sandra Franco, Álvaro F. García-Jiménez, Roger Paredes, Bonaventura Clotet, Lourdes Mateu, Marc Noguera-Julian, Elisa Martró, José Ramón Santos, Marta Massanella

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An overview of the full-chain key technical features in offshore geological carbon sequestration by Ying Teng, Yiqi Chen, Pengfei Wang, Senyou An, Cunbao Li, Jinlong Zhu, Songbai Han, Bao Yuan, Ji Kong, Jingsheng Ma, Yusheng Zhao, Jianbo Zhu

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Misshaped chromosomes, mismatched chromatids, and missized genes: easy edits may help mitigate misconceptions commonly represented in published scientific figures by Crystal Uminski, Dina L. Newman, L. Kate Wright

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Metaheuristic-Based Cepstral Sensing Technique for Prolonging Network Lifetime and Mitigating Primary User Emulation Attacks in Cognitive Radio Sensor Network by V. Abilasha, A. Karthikeyan

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HFF-Net: A hybrid convolutional neural network for diabetic retinopathy screening and grading by Muhammad Hassaan Ashraf, Hamed Alghamdi

“…The framework includes preprocessing to extract regions of interest from fundus images (FIs), enhancement using Contrast Limited Adaptive Histogram Equalization (CLAHE), and data augmentation for class balancing and overfitting mitigation. HFF-Net extracts multiscale features that fused at multiple levels within the network, utilizing the swish activation function for improved learning stability. …”
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