Analytical Approach to Designing a Combined-Mode Resonator Filter on Surface Acoustic Waves Using the Model of Coupling of Modes by A. S. Koigerov

“…To describe the current state and main features of approaches to calculating SAW-based bandpass filters using the model of coupled modes and its formalization based on P-matrices. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

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Design and development of a FSS backed high gain UWB MIMO planar antenna for FR-II NR bands by Tej Raj, Ranjan Mishra, Pradeep Kumar, Ankush Kapoor, Piyush Kuchhal

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Online chicken carcass volume estimation using depth imaging and 3-D reconstruction by Innocent Nyalala, Zhang Jiayu, Chen Zixuan, Chen Junlong, Kunjie Chen

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An Open-Type Crossflow Microfluidic Chip for Deformable Droplet Separation Driven by a Centrifugal Field by Zekun Li, Yongchao Cai, Xiangfu Wei, Cuimin Sun, Wenshen Luo, Hui You

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A Novel Spatter Detection Algorithm for Real-Time Quality Control in Laser-Directed Energy Deposition-Based Additive Manufacturing by Farzaneh Kaji, Jinoop Arackal Narayanan, Mark Zimny, Ehsan Toyserkani

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A wireless sensor data-based coal mine gas monitoring algorithm with least squares support vector machines optimized by swarm intelligence techniques by Peng Chen, Yonghong Xie, Pei Jin, Dezheng Zhang

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A Correlational Study on Architectural Design and Thermal Distribution Patterns Using a Novel Multi-Terminal Approach in Cylindrical Li-Ion Cell-Integrated Battery Packs by Sagar D, Raja Ramar, Shama Ravichandran

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Multi-Task Sequence Tagging for Denoised Causal Relation Extraction by Yijia Zhang, Chaofan Liu, Yuan Zhu, Wanyu Chen

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Social Media Based Topic Modeling for Smart Campus: A Deep Topical Correlation Analysis Method by Jun Peng, Yiyi Zhou, Xiaoshuai Sun, Jinsong Su, Rongrong Ji

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THE DISCRETIZATION OF THE POLARIZED SIGNAL by P. E. Korneev

“…A scheme for demodulating the in-phase and quadrature components of the polarized signal is given. Functional features of filtering units in the scheme are described, the attention of the designers of the digital signal processing systems to the requirements of the Kotel'nikov's sampling theorem is emphasized.…”
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URT-YOLOv11: A Large Receptive Field Algorithm for Detecting Tomato Ripening Under Different Field Conditions by Di Mu, Yuping Guou, Wei Wang, Ran Peng, Chunjie Guo, Francesco Marinello, Yingjie Xie, Qiang Huang

“…These factors often hinder accurate feature extraction, leading to recognition errors and reduced computational efficiency. …”
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Multi-Subject Remote Heart Sound Monitoring Using mmWave MIMO RADAR by Isabella Lenz, Yu Rong, Adarsh A. Venkataramani, Daniel W. Bliss

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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

“…To address these challenges, this study proposes a novel deep reinforcement learning (DRL)-based framework, integrating a convolutional neural network (CNN) for hierarchical feature extraction and a recurrent neural network (RNN) for sequential pattern recognition and time-series modeling. …”
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Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning by Tao Liu, Zongbao Liu, Kejia Zhang, Chunsheng Li, Yan Zhang, Zihao Mu, Mengning Mu, Mengting Xu, Yue Zhang, Xue Li

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Frequency-resolved Time Lags due to X-Ray Disk Reprocessing in AGN by Christos Panagiotou, Iossif Papadakis, Erin Kara, Marios Papoutsis, Edward M. Cackett, Michal Dovčiak, Javier A. García, Elias Kammoun, Collin Lewin

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Improved YOLOv10n model for enhanced cotton recognition in complex environments by Yutao Gong, Wenwen Ding, Nenghui Huang, Tao Li, Juntao Zhou

“…Compared to YOLOv5, YOLOv7, YOLOv8, and the baseline YOLOv10n models, its mAP@0.5 increases by 6.3, 5.6, 3.9, and 1.3 percentage points, respectively. With 1.45 M parameters and 2.8 G computations, it represents a 5.8 % and 15.2 % reduction from the original YOLOv10n model.In complex farmland settings, the enhanced YOLOv10n model can precisely identify multi - category cotton growth stages, optimize network computational efficiency, and support the development of visual systems for cotton - harvesting robots.…”
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A Low Complexity Algorithm for 3D-HEVC Depth Map Intra Coding Based on MAD and ResNet by Erlin Tian, Jiabao Zhang, Qiuwen Zhang

“…This model effectively integrates both local and global features to generate partitioning predictions at various depths, while incorporating the quantization parameter (QP) into the input to enhance prediction accuracy. …”
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Ab Initio Quantum Dynamics as a Scalable Solution to the Exoplanet Opacity Challenge: A Case Study of CO2 in a Hydrogen Atmosphere by Laurent Wiesenfeld, Prajwal Niraula, Julien de Wit, Nejmeddine Jaïdane, Iouli E. Gordon, Robert J. Hargreaves

“…We focus on the CO _2 –H _2 system as CO _2 is a key absorption feature for exoplanet research (primarily in many gas giants) at ∼4.3 μ m as pressure-broadening parameters required for interpreting such observations remain sparse. …”
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YOLO-Ginseng: a detection method for ginseng fruit in natural agricultural environment by Zhedong Xie, Zhuang Yang, Chao Li, Zhen Zhang, Jiazhuo Jiang, Hongyu Guo

“…The compressed model exhibits reductions of 76.4%, 79.3%, and 74.2% in terms of model weight size, parameter count, and computational load, respectively.DiscussionCompared to other models, YOLO-Ginseng demonstrates superior overall detection performance. …”
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