Fast Ways to Detect Outliers by Emad Obaid Merza, Nashaat Jasim Mohammed

“…In this research, we aim to develop easy methods for detecting outliers in big data, as the problem that this research addresses is that many of the newly developed methods for detecting outliers suffer from computational complexity or are efficient when the sample size is small. …”
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Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

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Modern Methods for Diagnosing Faults in Rotor Systems: A Comprehensive Review and Prospects for AI-Based Expert Systems by Oleksandr Roshchupkin, Ivan Pavlenko

“…Working conditions nowadays are characterized by intensive rotation speeds, complex structures, and dynamic loads, contributing to different mechanical faults. …”
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RSNet: Compact-Align Detection Head Embedded Lightweight Network for Small Object Detection in Remote Sensing by Qing Dong, Tianxin Han, Gang Wu, Baiyou Qiao, Lina Sun

“…Detecting small objects in high-resolution remote sensing images presents persistent challenges due to their limited pixel coverage, complex backgrounds, and dense spatial distribution. …”
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High-Performance Data Acquisition for Fourier Transform Mass Spectrometry by Anton N. Kozhinov, Konstantin O. Nagornov, Yury O. Tsybin

“…This review highlights the impact of FTMS Boosters across six key applications: mass spectrometry imaging, charge detection mass spectrometry (CDMS) and charge determination analysis (CHARDA), biopharmaceutical analysis, isotope ratio and trace analyses, super-resolution mass spectrometry, and complex mixture analysis. …”
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Clinical considerations on antimicrobial resistance potential of complex microbiological samples by Norbert Solymosi, Adrienn Gréta Tóth, Sára Ágnes Nagy, István Csabai, Csongor Feczkó, Tamás Reibling, Tibor Németh

“…We can assume that these strain-by-strain concordance results are also true for bacteria in complex microbial samples, and conclude that AMRP obtained from metagenomic ARG analysis can help choose efficient ABs. …”
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A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

“…Then, multi-scale feature detection is achieved using a Gaussian scale-space pyramid, and dynamic grid division is employed to balance feature point distribution. …”
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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…The unique advantages of this approach relate to its effectiveness in tackling data scarcity, which is often an issue for other methods, in a way that enhances obstacle detection in railway operations and may lead to significant improvements in safety and operational efficiency within railway networks.…”
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Tuning Frontiers of Efficiency in Tissue P Systems with Evolutional Communication Rules by David Orellana-Martín, Luis Valencia-Cabrera, Bosheng Song, Linqiang Pan, Mario J. Pérez-Jiménez

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FocusDet: an efficient object detector for small object by Yanli Shi, Yi Jia, Xianhe Zhang

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Experimental Validation of the LabSOCS Detector Efficiency Simulation by Guilherme Soares Zahn, Frederico Antonio Genezini

“…The precise knowledge of the detection efficiency for gamma ray spectrometers is often of paramount importance, and its experimental determination can be both time-consuming and challenging, especially for complex geometries and/or extensive sources. …”
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Complex Refractive Index of Strontium Titanate in the Terahertz Frequency Range by V. R. Bilyk, K. A. Grishunin

“…The broadband THz-TDS is a powerful tool to determine the real and imaginary parts of a complex dielectric constant by the transmission which allows to detect the parameters of the soft modes in ferroelectrics. …”
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Measuring communities’ efficiencies within the global tourism network by He Zhu

“…Additionally, through theoretical deduction, we develop methods to assess the communities’ structural, performance, and functional efficiency, calculating their efficiencies to reveal evolutionary trends. …”
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Grasp Detection under Occlusions Using SIFT Features by Zhaojun Ye, Yi Guo, Chengguang Wang, Haohui Huang, Genke Yang

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Lightweight Fire Detection in Tunnel Environments by Shakhnoza Muksimova, Sabina Umirzakova, Dilnoza Abduxalikovna Babaraximova, Young Im Cho

“…Tunnel fires pose significant challenges to public safety due to their rapid development and the confined nature of tunnel environments. Traditional fire detection systems often struggle with delayed response times and high false alarm rates, particularly in complex scenarios. …”
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Multi-Scale Crack Detection and Quantification of Concrete Bridges Based on Aerial Photography and Improved Object Detection Network by Liming Zhou, Haowen Jia, Shang Jiang, Fei Xu, Hao Tang, Chao Xiang, Guoqing Wang, Hemin Zheng, Lingkun Chen

“…The key contributions of this method are as follows: (1) The DCN-BiFPN-EMA-YOLO (DBE-YOLO) crack detection network is introduced, which improves the model’s ability to extract crack features from complex backgrounds and enhances its multi-scale detection capability for accurate detection; (2) a more comprehensive crack quantification method is proposed, integrating the crack automation detection system for accurate crack quantification and efficient processing; (3) crack information is mapped onto the 3D model by computing the camera pose for each image in the 3D model for intuitive crack visualization. …”
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Use of Ultrasonography for the Evaluation of Lung Lesions in Lambs with Respiratory Complex by Alejandro Sánchez-Fernández, Juan Carlos Gardón, Carla Ibáñez, Joel Bueso-Ródenas

“…The ovine respiratory complex significantly affects lamb welfare and production efficiency, necessitating accurate diagnostic methods for pulmonary lesions. …”
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Humans learn generalizable representations through efficient coding by Zeming Fang, Chris R. Sims

“…Consequently, complex stimuli are mapped to compact representations, forming the foundation for generalization. …”
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SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…SegTrackDetect is optimized with inference speed in mind, offering a highly efficient pipeline while providing users with the flexibility to customize models. …”
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An Efficient Deep Learning-Based Framework for Predicting Cyber Violence in Social Networks by Younes Fayand Fathabad, Mohammad Ali Balafar, Amin Golzari Oskouei, Kamal Koohi

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