Advanced lightweight deep learning vision framework for efficient pavement damage identification by Shuai Dong, Yunlong Wang, Jin Cao, Jia Ma, Yang Chen, Xin Kang

“…These modules aim to enhance the feature extraction robustness and to eliminate interference from irrelevant features. …”
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Bioinformatics analysis of the Microsporidia sp. MB genome: a malaria transmission-blocking symbiont of the Anopheles arabiensis mosquito by Lilian Mbaisi Ang’ang’o, Jeremy Keith Herren, Özlem Tastan Bishop

“…Genes involved in RNA interference (RNAi) were also identified, suggesting a mechanism for host immune suppression. …”
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DMCCT: Dual-Branch Multi-Granularity Convolutional Cross-Substitution Transformer for Hyperspectral Image Classification by Laiying Fu, Xiaoyong Chen, Yanan Xu, Xiao Li

“…The proposed model adopts a dual-branch structure to separately extract spatial and spectral features, thereby mitigating mutual interference and information loss between spectral and spatial data during feature extraction. …”
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A Deep Learning Model for Spectral Reconstruction of Arrayed Micro-Resonators by Xinyi Zhou, Cheng Zhang, Zhenyu Zheng, Hongbin Li, Chao Peng

“…Compared to conventional methods, the proposed model demonstrates superior performance in both wide-range spectral reconstruction and fine-resolution tasks, thus highlighting its ability to effectively capture intricate spectral features and long-range dependencies, thereby advancing the reconstruction capabilities of miniaturized spectrometers.…”
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Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid by Emmanuel Ogbodo, David Dorrell, Adnan Abu-Mahfouz

“…The traditional model lacks these capability features.…”
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Two New Species of <i>Desmoscolex</i> (Nematoda: Desmoscolecidae) from Subtidal Benthic Habitats in Korea, with a Comparative Analysis of Cephalic Setae Variability by Wooin Jung, Ji-Hoon Kihm, Hyun Soo Rho

“…Both species are distinguished by the absence of cephalic setae—a rare feature previously documented in only three species within this subgenus: <i>Desmoscolex</i> (<i>Desmoscolex</i>) <i>rostratus</i> Timm, 1970; <i>D.…”
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Fault Prediction for Rotating Mechanism of Satellite Based on SSA and Improved Informer by Qing Lan, Ye Zhu, Baojun Lin, Yizheng Zuo, Yi Lai

“…An improved informer model is used to predict and diagnose features related to the turntable’s operational health, including temperature, rotational speed, and current. …”
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ESTIMATION OF SOFTWARE COMPLEXITY OF CALCULATION OF AUTOREGRESSION COEFFICIENTS AT DIGITAL SPECTRAL ANALYSIS by Andrey Zuev, Andrey Ivashko, Denis Lunin

“…At microcontroller realization of spectrum analyzers, it is necessary to consider features of the arithmetic used by the controller. …”
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MR-FuSN: A Multi-Resolution Selective Fusion Approach for Bearing Fault Diagnosis by Lin Sha, Shikai Tang, Min Wang, Sibo Qiao, Shihang Yu, Weixia Liu, Jiaqi Li

“…However, when collected in complex industrial environments, these signals are often contaminated by noise interference, posing significant challenges to fault feature extraction and diagnostic accuracy. …”
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BLformer: a short-term electrical bus load forecasting method based on enhanced Patch-TSTransformer by Hui Liu, Qian Chen, Di Zhang, Haiyun Wang, Xinchen Zhao, Zaichi Zhang, Lei Fu, Wei Wang, Sizhuang Chen

“…The framework quantifies the importance of temporal features across three load types and filters key input dimensions to reduce redundant information interference. …”
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Small Target Detection for Power Line Components in Complex UAV Imagery by Zhiyuan Sun, Xu Wang

“…First, to enhance the model&#x2019;s ability to detect small and low-resolution targets, we incorporate SPDConv into the backbone of the feature extraction network, significantly improving the extraction of small object features. …”
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KAN-ResNet-Enhanced Radio Frequency Fingerprint Identification with Zero-Forcing Equalization by Hongbo Chen, Ruohua Zhou, Qingsheng Yuan, Ziye Guo, Wei Fu

“…Firstly, the Wi-Fi preamble signals under the IEEE 802.11 standard are Zero-Forcing equalized, so as to effectively reduce the interference of time-varying channels on RFFI. We then design a novel residual network, KAN-ResNet, which adds a KAN module on top of the traditional fully connected layer. …”
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Fish feeding behavior recognition via lightweight two stage network and satiety experiments by Shilong Zhao, Kewei Cai, Yanbin Dong, Guanbo Feng, Yuqing Wang, Hongshuai Pang, Ying Liu

“…However, current research still faces three major issues: qualitative labels lead to models that produce only qualitative outputs; redundant information in images causes interference; and the high complexity of models hinders real-time application. …”
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MFD-KD: Multi-Scale Frequency-Driven Knowledge Distillation by Tao Dai, Rongliang Huang, Hang Guo, Jinbao Wang, Bo Li, Zexuan Zhu

“…Specifically, our method adopts Fast Fourier Transform (FFT) to shift intermediate feature maps of spatial domain into the corresponding frequency domain, enabling our approach to extract crucial high- and low-frequency information both inside and outside the frequency layer’s square center, while also minimizing interference from non-semantic information, such as noise. …”
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Особливості судового рішення у справах за участі дітей by Pavlo Parkhomenko

“…Depending on the type of proceedings and the child’s status in it, the child’s level of development, socio-psychological features of the child, the conditions of the child’s living and education, security, family situations and relationships with adults, etc., must be established.…”
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A robust RGBT tracking framework with temporal information enhancement and backward trajectory verification by Huiwei Shi, Xiaodong Mu, Hao He, Chengliang Zhong, Peng Zhao

“…However, challenges such as target appearance variations, similar object interference, and camera motion often lead to tracking drift. …”
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Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling by Jiang Yuan, Zhu Gaofeng, Zhu Fenghua, Xiong Gang

“…However, during multi-angle imaging, UAVs often encounter challenges such as a low target pixel ratio and significant background interference, leading to missed detection and false detection. …”
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FireCLIP: Enhancing Forest Fire Detection with Multimodal Prompt Tuning and Vision-Language Understanding by Shanjunxia Wu, Yuming Qiao, Sen He, Jiahao Zhou, Zhi Wang, Xin Li, Fei Wang

“…The dataset presents two key challenges: (1) high false positive rates caused by pseudo-smoke interference, including non-fire conditions like cooking smoke and industrial emissions, and (2) significant regional data imbalances, influenced by varying human activity intensities and terrain features, which impair the generalizability of traditional pre-train–fine-tune strategies. …”
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Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning by Yi Guo, Qianqian Wang, Bingliang Hu, Xueming Qian, Haibo Ye

“…Traditional band selection methods, such as ranking-based, searching-based, and clustering-based approaches, often rely on handcrafted features and heuristic rules, which fail to fully exploit the latent information and complex spatial–spectral relationships in hyperspectral images. …”
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Weak Labeling-specific Emitter Identification Algorithm Based on the Weakly Supervised Wav-KAN Network by Kangsheng LIU, Qing LING, Wenjun YAN, Limin ZHANG, Keyuan YU, Hengyan LIU

“…., weather conditions, terrain, obstacles, and interference sources), device performance (e.g., radar resolution, signal processing capabilities, and hardware failures), and tagger level. …”
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