MCIR-YOLO: White Medication Pill Classification Using Multi-Band Infrared Images by Mohan Wang, Yang Jiang, Baohui Xu, Mengqiang Huang, Xu Xue, Xu Wu, Wenjian Kuang, Xiang Liu, Harm Tolner

“…Additionally, the model incorporates an auxiliary detection branch, independent of the backbone, which utilizes fused feature information to calculate a distinct loss, effectively mitigating overall loss. …”
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Ship Wake Detection in a Single SAR Image via a Modified Low-Rank Constraint by Yanan Guan, Huaping Xu, Wei Li, Chunsheng Li

“…Subsequently, a field-of-experts (FOE) model is introduced to generate a series of multi-view wake feature maps, which are fused to construct an enhanced feature map. …”
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A Strategy for Smoothing Power Fluctuations of New Energy Based on Improved Power Prediction Accuracy and Market Transaction by LIANG Yiheng, YANG Dongmei, LIU Gang, YE Wenjie, YANG Yize, QIAN Tao, HU Qinran

“…Finally, the case study demonstrates that the feature-constrained MLP effectively improves the power prediction accuracy. …”
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Color Consistency Anime Style Transfer Based on Hybrid Structural Decomposition Network by Jun Zhang, Yunhua Zhang

“…The proposed HSDN utilizes an encoder to separately extract structural and color features from input images. The structural features are then processed by our style transfer sub-network, which is based on diffusion models. …”
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Detection and Classification of Power Quality Disturbances Based on Improved Adaptive S-Transform and Random Forest by Dongdong Yang, Shixuan Lü, Junming Wei, Lijun Zheng, Yunguang Gao

“…These features are then fed into an RF classifier, which simultaneously mitigates model variance and bias, achieving robust classification. …”
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LDDP-Net: A Lightweight Neural Network with Dual Decoding Paths for Defect Segmentation of LED Chips by Jie Zhang, Ning Chen, Mengyuan Li, Yifan Zhang, Xinyu Suo, Rong Li, Jian Liu

“…Moreover, the integration of intermediate-layer features into the upsampling operation enhances boundary segmentation. …”
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On the generalisation capabilities of Fisher vector‐based face presentation attack detection by Lázaro J. González‐Soler, Marta Gomez‐Barrero, Christoph Busch

“…In contrast, for more realistic scenarios, existing algorithms face difficulties in detecting unknown PAI species which are only included in the test set. A feature space based on Fisher Vectors computed from compact binarised statistical image features histograms, which allows discovering semantic feature subsets from known samples to enhance the detection of unknown attacks is presented. …”
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Efficient Deep Learning Model Compression for Sensor-Based Vision Systems via Outlier-Aware Quantization by Joonhyuk Yoo, Guenwoo Ban

“…With the rapid growth of sensor technology and computer vision, efficient deep learning models are essential for real-time image feature extraction in resource-constrained environments. …”
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Classification of Drivers with HIV-Associated Neurocognitive Disorders using Virtual Driving Test Performance Data by David Grethlein, Venk Kandadai, Will Dampier

“…In three separate experiments, subsets of VDT data were first selected via Kruskal-Wallis feature ranking and then used as ensemble inputs to classify whether or not drivers had NCI. …”
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Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization by Roland Nagy, István Szalai

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Cloth-Changing Person Re-Identification Based on the Backtracking Mechanism by Xuan Liu, Hua Han, Kaiyu Xu, Li Huang

“…To address this issue, we propose a novel cloth-changing person re-identification method based on a backtracking mechanism, which extracts identity features independent of clothing and mitigates the impact of clothing changes on recognition performance. …”
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Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework by Ruize Gao, Shaoze Cui, Yu Wang, Wei Xu

“…A comparative analysis of AUC values further reveals that FinMHSPE outperforms state-of-the-art approaches that rely on financial features as inputs. Furthermore, our investigation identifies several valuable features for enhancing FDP model performance, notably those associated with a company’s information and growth potential.…”
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A comprehensive diagnostic framework for hepatitis C using structured data and predictive analytics by Behnaz Motamedi, Balázs Villányi

“…To test this theory, we established an extensive four-phase preparation pipeline: Baseline imputes missing values using class-specific means; Refine mitigates outliers through class-specific medians and normalization; Balanced addresses class imbalance across five stages employing localized random affine shadow-sampling; and Augmented incorporates a clustering-based feature derived from an ensemble of K-means and Gaussian mixture models, combined with principal component analysis. …”
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Digital mapping of peat thickness and extent in Finland using remote sensing and machine learning by Jonne Pohjankukka, Timo A. Räsänen, Timo P. Pitkänen, Arttu Kivimäki, Ville Mäkinen, Tapio Väänänen, Jouni Lerssi, Aura Salmivaara, Maarit Middleton

“…Compared to existing superficial deposit maps, our peat predictions significantly improve the spatial detail of peatlands at the national level, offering new opportunities for land use planning and emission mitigation. Our exceptionally comprehensive approach is broadly applicable, offering new insights into optimizing machine learning-based digital peatland mapping, particularly through refining feature selection to account for local conditions and enhance prediction accuracy.…”
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CIA-UNet: An Attention-Enhanced Multi-Scale U-Net for Single Tree Crown Segmentation by Jiapeng Duan, Chuanzhao Tian, Wansi Liu, Lixiang Cao, Teng Feng, Xiaomin Tian

“…The Convolutional Block Attention Module (CBAM) is employed to increase the weight of key features, and mitigate false segmentation caused by feature confusion. …”
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A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

“…First, a pre-processing module handles coin localization and image enhancement to mitigate variations in lighting and background. Next, an RFE-CNN-based feature extractor extracts discriminative features from the coin images. …”
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Radiated energy fraction of SPI-induced disruptions at ASDEX Upgrade by P. Heinrich, G. Papp, S. Jachmich, J. Artola, M. Bernert, P. de Marné, M. Dibon, R. Dux, T. Eberl, J. Hobirk, M. Lehnen, T. Peherstorfer, N. Schwarz, U. Sheikh, B. Sieglin, J. Svoboda, the ASDEX Upgrade Team, the EUROfusion Tokamak Exploitation Team

“…To support ITER, a versatile SPI system was installed at the tokamak ASDEX Upgrade (AUG). The AUG SPI features three independent pellet generation cells and guide tubes, and each was equipped with different shatter heads for the 2022 experimental campaign. …”
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A High-Precision Method for Warehouse Material Level Monitoring Using Millimeter-Wave Radar and 3D Surface Reconstruction by Wenxin Zhang, Yi Gu

“…To improve grain surface identification, an anomalous signal correction method based on angle–range feature fusion is introduced, mitigating errors caused by weak reflections and multipath effects. …”
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Handwriting Difficulties: A Review of Recent Advances in the Identification and Intervention by Suatmi Murnani, Kazuharu Hashitsume, Tomohiko Igasaki

“…Key techniques examined include the use of spatiotemporal signals, image data, feature-extraction methods, and algorithmic classification. …”
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Learning optimal image representations through noise injection for fine-grained search by Vidit Kumar, Vikas Tripathi, Bhaskar Pant, Manoj Diwakar, Prabhishek Singh, Anchit Bijalwan

“…Concurrently, noise injection in the features acts as regularization, facilitating the acquisition of generalized features and mitigating model overfitting. …”
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