Design and Experimental Operation of a Swing-Arm Orchard Sprayer by Zhongyi Yu, Mingtian Geng, Keyao Zhao, Xiangsen Meng, Hongtu Zhang, Xiongkui He

“…The combination of a diffuse reflection photoelectric sensor and Arduino single-chip microcomputer was used to realize real-time detection and dynamic spray control in the pear canopy, and the sensor delay compensation algorithm was used to optimize target recognition accuracy and improve the utilization rate of liquid agrochemicals. …”
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SAR Image Registration Based on SAR-SIFT and Template Matching by Shichong Liu, Xiaobo Deng, Chun Liu, Yongchao Cheng

“…Accurate image registration is essential for synthetic aperture radar (SAR) applications such as change detection, image fusion, and deformation monitoring. …”
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Snow Cover Extraction from Landsat 8 OLI Based on Deep Learning with Cross-Scale Edge-Aware and Attention Mechanism by Zehao Yu, Hanying Gong, Shiqiang Zhang, Wei Wang

“…The cross-scale edge perception module replaces the original jump connection of U-net, enhances the low-level image features by introducing edge detection on the shallow feature scale, and enhances the detail perception via branch separation and fusion features on the deep feature scale. …”
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Collision Avoidance Behavior Mining Model Considering Encounter Scenarios by Shuzhe Chen, Chong Zhang, Lei Wu, Ziwei Wang, Wentao Wu, Shimeng Li, Haotian Gao

“…Addressing the existing issues of low precision and false detection in data mining algorithms, this paper proposes a collision avoidance behavior mining model considering encounter scenarios. …”
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A linear oscillator model predicts dynamic temporal attention and pupillary entrainment to rhythmic patterns by Lauren K. Fink, Brian K. Hurley, Joy J. Geng, Petr Janata

“…The oscillator model predicted participants’ perceptual thresholds for detecting deviants at probed locations, with a low temporal salience prediction corresponding to a high perceptual threshold and vice versa. …”
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Techniques for Accelerometer Reading Processing on Railway Transport Using Wavelet Transform by A. M. Boronakhin, A. V. Bolshakova, D.  M. Klionskiy, D. Yu. Larionov, R. V. Shalymov

“…These methods provide for time-frequency localization for irregularity detection and measurement.Results. Algorithms for vibrational signal processing using the continuous and discrete-time wavelet transform are proposed. …”
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Non-destructive Identification of Moldy Walnuts by Fusing X-Ray and Visual Image Features by NING Xinyue, ZHANG Hui, JI Shuai, LAI Lisi

“…To address the difficulty of detecting moldy walnuts and the problem of low detection efficiency, a non-destructive method based on fused features of X-ray and visual images was proposed to accurately distinguish four grades of moldy walnuts: moldy both internally and externally, moldy internally and normal externally, normal internally and moldy externally, and normal both internally and externally. …”
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Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. by Michael E Kim, Chenyu Gao, Nancy R Newlin, Gaurav Rudravaram, Aravind R Krishnan, Karthik Ramadass, Praitayini Kanakaraj, Kurt G Schilling, Blake E Dewey, David A Bennett, Sid O'Bryant, Robert C Barber, Derek Archer, Timothy J Hohman, Shunxing Bao, Zhiyuan Li, Bennett A Landman, Nazirah Mohd Khairi, Alzheimer’s Disease Neuroimaging Initiative, HABS-HD Study Team

“…Most efforts to reduce data QC time rely on quantitative outlier detection, which cannot capture every instance of algorithm failure. …”
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Path Planning for Lunar Rovers in Dynamic Environments: An Autonomous Navigation Framework Enhanced by Digital Twin-Based A*-D3QN by Wei Liu, Gang Wan, Jia Liu, Dianwei Cong

“…A high-fidelity digital twin simulation environment integrates a YOLOv5-based multimodal perception system for real-time obstacle detection and distance estimation. Experimental validation across low-, medium-, and high-complexity scenarios demonstrates superior performance: the method achieves shorter paths, zero collisions in dynamic settings, and 30% faster convergence than baseline D3QN. …”
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Biochemical Oxygen Demand Prediction Based on Three-Dimensional Fluorescence Spectroscopy and Machine Learning by Xu Zhang, Yihao Zhang, Xuanyi Yang, Zhiyun Wang, Xianhua Liu

“…This avoids the complicated operation of DO determination, improves detection efficiency, and provides a convenient solution for analyzing large quantities of water samples and monitoring facile water quality.…”
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WORKING ANALYSIS OF SPACE TIME TRELLIS CODE ON WIFI MIMO(2X2) SYSTEM OFDM by Wisnu Broto, Noor Suryaningsih, Adhi Mahendra

“…The simulation that is carried out presents the STTC and OFDM schemes on multi antennas (2 transmitters x 2 receivers) with a Combiner and Maximum Likelihood Sequence Estimator (MLSE) detection algorithm on the receiver. It is to get the quality of the sending signal in the performance analysis of Bit Error Rate (BER) with Signal to Noise Ratio (SNR). …”
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Batch Cooling Crystallization of a Model System Using Direct Nucleation Control and High-Performance In Situ Microscopy by Josip Budimir Sacher, Nenad Bolf, Marko Sejdić

“…Compared to other techniques, HPM enables the detection of small crystals in the range of 1 to 10 μm. …”
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Fast Long-Range Photon Counting Depth Imaging With Sparse Single-Photon Data by Yan Kang, Lifei Li, Dawei Liu, Dongjian Li, Tongyi Zhang, Wei Zhao

“…This depth imaging system is a low-light-level device for a variety of applications, such as target detection, space surveillance, and distance measurement.…”
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Reconstructing the silent circulation of West Nile Virus in a Caribbean island during 15 years using sentinel serological data. by Celia Hamouche, Jennifer Pradel, Nonito Pagès, Véronique Chevalier, Sylvie Lecollinet, Jonathan Bastard, Benoit Durand

“…We fitted the model to the serological data using a Markov Chain Monte Carlo algorithm. We found that WNV FOI in Guadeloupe Island presented both within-year (seasonal) and between-years fluctuations. …”
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Assesment of Power Quality Disturbances For Grid Integration of PV Power Plants by Gökay Bayrak, Alper Yılmaz

“…Thus, the first stepin preparing a reliable algorithm for detecting power quality events occurringin the current grid is to model a power system in which power qualityimpairments can be analyzed. …”
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Synchronized Measurement of the Fundamental Voltage and Harmonic, Interharmonic, and Subharmonic Components of the Electrical Grid Using an Adaptive Kalman Filter by Germán Martínez-Navarro, Salvador Orts-Grau, José Carlos Alfonso-Gil, Pedro Balaguer-Herrero

“…This work proposes new definitions for the spectral energy aggrupation to improve signal component detection for the IEC standard. Furthermore, an adaptive Kalman filter algorithm is developed that enables the exact identification in real time of the frequency, amplitude, and phase of these components. …”
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Robot Floor-Tiling Control Method Based on Finite-State Machine and Visual Measurement in Limited FOV by Shun Wang, Huixing Zhou, Zhongyue Zhang, Xiaoyu Zheng, Yannan Lv

“…Although a few robots for floor tiling have been developed, the automation of existing systems is still at a low level. This paper proposes a robot floor-tiling control strategy based on visual measurement feedback and finite-state machine, in which the calculation of tile position information in limited field of vision is obtained by an improved Canny edge detection and a Hough linear transformation. …”
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Security decision method for the edge of multi-layer satellite network based on reinforcement learning by Peiliang ZUO, Shaolong HOU, Chao GUO, Hua JIANG, Wenbo WANG

“…Methods:This paper considers a multi-layer satellite network consisting of low-orbit satellites, medium-orbit satellites, and high-orbit geosynchronous satellites.Among them,the low-orbit satellite nodes are responsible for observation and reconnaissance services (such as meteorological observation, geographic detection, intelligence reconnaissance,etc.)…”
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Analyzing mental stress in Indian students through advanced machine learning and wearable technologies by Shruti Gedam, Sandip Dutta, Ritesh Jha

“…This study aims to compare various machine learning (ML) algorithms for detecting mental stress using wearable physiological signal data and proposes a novel model that is automatic, high-performing, low-cost, and with lower time and computation complexity. …”
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Methods for the Construction and Editing of an Efficient Control Network for the Photogrammetric Processing of Massive Planetary Remote Sensing Images by Xin Ma, Chun Liu, Xun Geng, Sifen Wang, Tao Li, Jin Wang, Pengying Liu, Jiujiang Zhang, Qiudong Wang, Yuying Wang, Yinhui Wang, Zhen Peng

“…Next, to effectively reduce the redundant control points in the control network and decrease the computation time required for bundle adjustment, we then proposed a control network-thinning algorithm based on a K-D tree fast search. Finally, we developed an automatic detection method based on ray tracing for identifying invalid control points in the control network. …”
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