Orga-Dete: An Improved Lightweight Deep Learning Model for Lung Organoid Detection and Classification by Xuan Huang, Qin Gao, Hanwen Zhang, Fuhong Min, Dong Li, Gangyin Luo

“…To overcome these challenges, this study proposes Orga-Dete—a lightweight, high-precision detection model based on YOLOv11n—which first employs data augmentation to mitigate the small-scale dataset and class imbalance issues, then optimizes via a triple co-optimization strategy: a bi-directional feature pyramid network for enhanced multi-scale feature fusion, MPCA for stronger micro-organoid feature response, and EMASlideLoss to address class imbalance. …”
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Lightweight Super-Resolution Techniques in Medical Imaging: Bridging Quality and Computational Efficiency by Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Zaripova Dilnoza, Kudratjon Zohirov, Rashid Nasimov, Sabina Umirzakova, Young-Im Cho

“…Our contributions include replacing the residual local feature blocks with standard residual blocks, increasing the model depth for improved feature extraction, and incorporating enhanced spatial attention (ESA) mechanisms to refine the feature selection. …”
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A new method of semi-supervised learning classification based on multi-mode augmentation in small labeled sample environment by Yuxuan Liu, Chenglin Wen

“…Abstract Semi-supervised learning mitigates the problem of labeled data scarcity by utilizing unlabeled data, but the generalization performance of existing methods usually degrades significantly when the unlabeled data is small in size or poor in quality. …”
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Aflatoxin contamination level estimation in food using reflectance multispectral imaging based system by H.M.P.S. Madushan, H.L.P. Malshan, K.K. Abewickrama, H.M.V.R. Herath, Roshan Godaliyadda, M.P.B. Ekanayake, A.D.S.N.P. Athukorala, M.D.H.M. Kumari, Darsha Udayanga

“…Spatial and spectral corrections are performed to mitigate the imperfections of the multispectral imaging system, followed by image preprocessing steps to mitigate the effect of random noise. …”
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Research on multi-view collaborative detection system for UAV swarms based on Pix2Pix framework and BAM attention mechanism by Yan Ding, Qingxin Cao, Bozhi Zhang, Peilin Li, Zhongjiao Shi

“…Additionally, a feature fusion network NS-PAFPN is developed to mitigate the issue of deep feature map information loss in UAV images. …”
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Attention-enhanced StrongSORT for robust vehicle tracking in complex environments by Wei Xu, Xiaodong Du, Ruochen Li, Bingjie Li, Yuhu Jiao, Lei Xing

“…This design enhances cross-dimensional feature interaction through localized channel-spatial attention gates, significantly improving occlusion-resistant feature representation (IDF1  $$\uparrow$$  9.99%, IDsw  $$\downarrow$$  9.85%). …”
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Generic speech enhancement with self-supervised representation space loss by Hiroshi Sato, Tsubasa Ochiai, Marc Delcroix, Takafumi Moriya, Takanori Ashihara, Ryo Masumura

“…Single-channel speech enhancement is utilized in various tasks to mitigate the effect of interfering signals. Conventionally, to ensure the speech enhancement performs optimally, the speech enhancement has needed to be tuned for each task. …”
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A hybrid Bi-LSTM and RBM approach for advanced underwater object detection. by Manimurugan S, Karthikeyan P, Narmatha C, Majed M Aborokbah, Anand Paul, Subramaniam Ganesan, Rajendran T, Mohammad Ammad-Uddin

“…The model benefits from effective feature learning, aided by RBMs that enable the extraction of hierarchical and abstract representations. …”
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American Serpentine Leafminer, Liriomyza trifolii (Burgess) (Insecta: Diptera: Agromyzidae) by John L. Capinera

“…Management strategies such as sampling, insecticides, biological control, and cultural practices are discussed to mitigate its impact. The document is part of the UF/IFAS Extension's Featured Creatures collection, aimed at both laypersons and academic audiences interested in entomology.  …”
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Forced randomization: the what, why, and how by Kerstine Carter, Olga Kuznetsova, Volodymyr Anisimov, Johannes Krisam, Colin Scherer, Yevgen Ryeznik, Oleksandr Sverdlov

“…FR is a useful design feature of multi-center RCTs provided it is properly planned for and carefully implemented.…”
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Biological Control Containment Facilities in Florida by W.A. Overholt, R.D. Cave, P.D. Pratt, P.C. Lake, J.C. Scoles

“…Management strategies such as sampling, insecticides, biological control, and cultural practices are discussed to mitigate its impact. The document is part of the UF/IFAS Extension's Featured Creatures collection, aimed at both laypersons and academic audiences interested in entomology. …”
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Tea Scale, Fiorinia theae Green (Insecta: Hemiptera: Diaspididae) by Christian F. Miller

“…The article also discusses management strategies, including cultural, chemical, and biological controls, to mitigate the pest's impact. This document is part of the UF/IFAS Extension's Featured Creatures collection, aimed at both laypersons and academic audiences interested in entomology. …”
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A brain tumor segmentation method based on attention mechanism by Juan Cao, Jinjia Liu, Jiaran Chen

“…Additionally, a spatial attention module (SPA) is introduced to establish global feature correlations, critical for accurate tumor segmentation. …”
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A high-precision segmentation network for industrial surface defect detection by Hao Chen, Byung-Won Min

“…However, existing deep learning methods struggle with multi-scale feature fusion and spatial information preservation. …”
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Improved Dab-Deformable Model for Runway Foreign Object Debris Detection in Airport Optical Images by Yang Cao, Yuming Wang, Yilin Zhu, Rui Yang

“…Additionally, when combined with a Threshold Selection (TS) algorithm, the model effectively mitigates the distraction caused by the serialization of multi-layer feature maps in the Transformer architecture. …”
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Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…The main innovations were: (1) integration of spatial pyramid dilated (SPD) operations with conventional convolution layers to construct SPD-Conv modules, which effectively mitigated feature information loss while enhancing small-target detection accuracy; (2) incorporation of selective kernel attention mechanisms to enable context-aware feature selection and adaptive feature extraction. …”
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A New Synthesis Technique of Control Signals for Power Converters Based on Pulse Position Modulation by Lara Bruno, Vito G. Monopoli

“…In particular, the proposed technique can optimize the positions of all the pulses making up the overall control signal thus allowing better harmonic performance compared to Pulse Width Modulation techniques featuring fixed position of the pulses. Moreover, the proposed technique allows for largely better dynamic performance in comparison to techniques such as Selective Harmonic Elimination/Mitigation that can similarly optimize the harmonic quality by modifying the position of the pulses. …”
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CARBON FOREST PROJECTS IN THE CONTEXT OF ENVIRONMENTAL MANAGEMENT EFFICIENCY by Alla Pakina

“…The ability of the forest lands to absorb greenhouse gas emissions is assessed using the ROBUL methodology. An important feature of CFPs is the ability to combine a positive environmental effect by contributing to climate change mitigation with strengthening the image of an environmentally friendly company. …”
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Enhancing landslide susceptibility predictions with XGBoost and SHAP: a data-driven explainable AI method by Danish Khan, Wasim Akram, Sajid Ullah

“…Using high-resolution geospatial datasets, 20 conditioning factors were analyzed, with feature selection refined through Variable Inflation Factor (VIF) and Recursive Feature Elimination (RFE). …”
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State of Charge Prediction for Electric Vehicles Based on Integrated Model Architecture by Min Wei, Yuhang Liu, Haojie Wang, Siquan Yuan, Jie Hu

“…A coupled library of twelve typical driving cycle style combinations is constructed to handle complex correlations among driving style, operating conditions, and range. To mitigate multicollinearity and nonlinear feature redundancies, a Pearson-DII-based feature extraction method is proposed. …”
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