GPR-TSBiNet: An Information Gradient Enrichment Model for GPR B-Scan Small Target Detection by Chongqin Wang, Yi Guan, Minghe Chi, Feng Shen, Zhilong Yu, Qingguo Chen, Chao Chen

“…In the neck stage, we develop the Spatial-Depth Converted Bidirectional Feature Pyramid Network (SC-BiFPN), which integrates SPD-ADown to mitigate feature loss caused by traditional pooling-based downsampling. …”
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A Highly Robust Encoder–Decoder Network with Multi-Scale Feature Enhancement and Attention Gate for the Reduction of Mixed Gaussian and Salt-and-Pepper Noise in Digital Images by Milan Tripathi, Waree Kongprawechnon, Toshiaki Kondo

“…To mitigate information loss during encoding, skip connections transfer essential feature maps from the encoder to the decoder, preserving structural details. …”
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Performance Comparison of Facial Emotion Recognition: Introducing a Model within the Driver Assistance Framework based on Deep Learning with LBP Feature Extraction for In-Vehicle A... by Ehsan Ghasemi, Seyyed Mohammad Razavi, Sajad Mohamadzadeh

“…Secondly, the Local Binary Patterns (LBP) feature descriptor is utilized to extract features from the identified eye, nose, and mouth regions. …”
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MLFF-SFNet: A Visual Perception-Guided Network for High-Accuracy Road Extraction in Remote Sensing Imagery via Multilevel Feature Fusion and Similarity Filtering by Kaiming Quan, Dongmei Yan, Ruyi Feng

“…The auxiliary branch extracts local road features to construct a feature affinity matrix that guides global feature refinement in the main branch. …”
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Clinical and genetic analysis of ERCC8-Related cockayne syndrome: hepatic dysfunction as a biomarker, anhidrosis as a rare feature, and rehabilitation outcomes for ankle contractur... by Jing Chen, Wei Su, Dan Gao, Fangfang Liu, Shuang Chen, Wenhan Zhang, Min Peng, Tao Lei, Hongmin Zhu

“…Rehabilitation therapy mitigates Achilles tendon contractures, underscoring its clinical value. …”
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Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder- a Machine-Learning based classification study by Susanne Neufang, Feifei Li, Atae Akhrif, Oya D. Beyan

“…Two datasets were used, one including personal characteristic features, scores of the clinical questionnaire Child Behavior Checklist, and wavelet variance coefficients as quantifiers of neural dynamics (fMRI), a second dataset included personal characteristic features, scores of the clinical questionnaire Child Behavior Checklist, and radiomic features of neural structure (sMRI). …”
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Soil organic carbon retrieval using a machine learning approach from satellite and environmental covariates in the Lower Brazos River Watershed, Texas, USA by Birhan Getachew Tikuye, Ram Lakhan Ray

“…These results suggest that integrating satellite data with environmental covariates and machine learning models holds excellent potential for SOC prediction and supports climate change mitigation efforts by improving carbon stock assessments.…”
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Edge-based detection and localization of adversarial oscillatory load attacks orchestrated by compromised EV charging stations by Khaled Sarieddine, Mohammad Ali Sayed, Sadegh Torabi, Ribal Atallah, Chadi Assi

“…Moreover, this analysis results shed light on the impact of such detection mechanisms towards building resiliency into different levels of the EV charging ecosystem while allowing power grid operators to localize attacks and take further mitigation measures. Specifically, the detection mechanism of oscillatory load attacks is decentralized and created an effective alternative for operator-centric mechanisms to mitigate multi-operator and Man-in-the-Middle (MitM) oscillatory load attacks against the power grid. …”
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Understanding Information Propagation in Online Social Networks: A Systematic Mapping Study by Eleana Jerez-Villota, Francisco Jurado, Jaime Moreno-Llorena

“…To conclude the study, we propose groups of features/attributes of users during IP and a propagated information classification. …”
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A review on recent approaches of Machine Learning, Deep Learning, and Explainable Artificial intelligence in Intrusion Detection Systems by Seshu Bhavani Mallampati, Seetha Hari

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Urban Cool Island effect through innovative architecture and sustainable urban design by Mahin R. Tawrat

“…This paper investigates the phenomenon of Urban Cool Islands (UCIs) in desert regions, focusing on highly Sustainable Design Feature (SDF) areas in Dubai and Sharjah. The research explores the role of sustainable architectural and urban design practices in mitigating the Urban Heat Island (UHI) effect and fostering UCIs. …”
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Unravelling the effects of climate change on the soil-plant-atmosphere interactions: A critical review by Maria Nahin Oishy, Nigar Ahmmad Shemonty, Sadia Islam Fatema, Sadika Mahbub, Ebadunnahar Lukhna Mim, Maimuna Binte Hasan Raisa, Amit Hasan Anik

“…The soil-plant-atmosphere nexus is vital in terrestrial ecosystems, featuring complex feedback loops that link soil, plant, and atmospheric processes. …”
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YOLO-Ssboat: Super-Small Ship Detection Network for Large-Scale Aerial and Remote Sensing Scenes by Yiliang Zeng, Xiuhong Wang, Jinlin Zou, Hongtao Wu

“…YOLO-ssboat integrates the C2f_DCNv3 module to extract fine-grained features of small vessels while mitigating background interference and preserving critical target details. …”
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Multi-objective predictive control of cascaded H-bridge multilevel inverter based grid integrated PV based distributed generation system with improved power quality features by Avismit Dutta, Roshan Pradhan, Aurobinda Panda

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Solar Flare Prediction Using Multivariate Time Series of Photospheric Magnetic Field Parameters: A Comparative Analysis of Vector, Time Series, and Graph Data Representations by Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

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Multi-Modal MR Image Segmentation Strategy for Brain Tumors Based on Domain Adaptation by Qihong Yang, Ruijun Jing, Jiliang Mu

“…These measures mitigate the domain shift problem and improve the generalization ability of the model, enhancing the accuracy of multimodal brain tumor MR image segmentation.…”
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Stock price prediction based on dual important indicators using ARIMAX: A case study in Vietnam by Wang Pai-Chou, Vo Tram Thi Hoai

“…A dual important features selection approach is proposed to extract key features for the ARIMAX model from a pool of 87 technical indicators. …”
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MF-YOLO: Mask Wearing Detection Algorithm for Dense Environments by Peng Wen, Zhengyi Yuan, Junhu Zhang, Haitao Li

“…Finally, an enhanced feature-fusion strategy is employed to mitigate the loss of feature information during layer-by-layer transmission, improving the model’s ability to fuse information at the same scale. …”
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DBDST-Net: Dual-Branch Decoupled Image Style Transfer Network by Na Su, Jingtao Wang, Jingjing Zhang, Ying Li, Yun Pan

“…To further improve the decoupling performance, we introduce a dense-regressive loss that minimizes the discrepancy between the original content image and the content reconstructed from the stylized output, thereby promoting the independence of content and style features while enhancing image quality. Additionally, to mitigate the limited availability of style data, we employ the Stable Diffusion model to generate stylized samples for data augmentation. …”
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UAV-DETR: An Enhanced RT-DETR Architecture for Efficient Small Object Detection in UAV Imagery by Yu Zhou, Yan Wei

“…To mitigate the technical challenges associated with small-object detection, feature degradation, and spatial-contextual misalignment in UAV-acquired imagery, this paper proposes UAV-DETR, an enhanced Transformer-based object detection model designed for aerial scenarios. …”
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