Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…ObjectiveUAVs provide advantages such as easy control, low cost, and good performance, and efficiently perform tasks in diverse sites and complex environments. …”
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Maritime man-overboard search based on MOB-Detector with modulated deformable convolution and bi-directional feature fusion network by Guokang Xu, Jianchuan Yin, Jianchuan Yin, Jinfeng Zhang, Nini Wang

“…Furthermore, we introduce the ManOverboard Benchmark to evaluate algorithms for detecting small objects in maritime environments.DiscussionIn the discussion, the challenge faced by the MOB-Detector in low-visibility environments is discussed, and two future research directions are proposed: optimizing the detector based on the Transformer architecture and developing targeted data augmentation strategies.…”
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Expedited re-design of multi-band passive microwave circuits using orthogonal scaling directions and gradient-based tuning by Slawomir Koziel, Anna Pietrenko-Dabrowska, Ubaid Ullah

“…Nonetheless, if the intended frequencies are distant from the ones at the starting point, local search procedures tend to fail, whereas global search algorithms are computationally expensive. As recently demonstrated, a combination of large-scale concurrent geometry parameter scaling with intermittent local tuning allows for dependable re-design of high-frequency circuits at low CPU costs. …”
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Multi-objective optimization of low moisture food extrusion processing through active learning and robotics by Deborah Becker, Jean-Vincent Le Bé, Cornelia Rauh, Christoph Hartmann

“…This approach highlights the potential of integrating automation and active learning algorithms for the optimization of low moisture extrusion processes and offers a promising tool to accelerate the process development of directly expanded food products.…”
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A Machine Learning-Based Risk Prediction Model During Pregnancy in Low-Resource Settings by Kapil Tomar, Chandra Mani Sharma, Tanisha Prasad, Vijayaraghavan M. Chariar

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Development of a microwave low-pass filter based on a microstrip line projection mode by A. D. Yarlykov, O. A. Demin

“…Sections of microstrip lines having finite length are widely used to develop integrated circuits and microwave devices for various purposes, such as power dividers, directional couplers, attenuators, and filters. In particular, low-pass filters in the microwave range are comprised of a cascade connection of regular sections of microstrip lines having various geometric parameters. …”
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Efficient Gamma-Based Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement by Huitao Zhao, Shaoping Xu, Liang Peng, Hanyang Hu, Shunliang Jiang

“…This curve enables outstanding performance in the enhancement task by directly mapping the input low-light image to the enhanced output at the pixel level, thereby eliminating the need for multiple iterative mappings as required in the Zero-DCE algorithm. …”
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Kinematics Analysis and Performance Optimization of Low Coupling PRPaR/2CRR Parallel Mechanism by Zhang Li, Zhu Lei, Xu Dong

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Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction by Ander Biguri, Subhadip Mukherjee, Xuzhi Zhao, Xi Liu, Xinyi Wang, Rui Yang, Yi Du, Yahui Peng, Mikael Brudfors, Mark Graham, Hyungon Ryu, Oliver Kutter, Andreas Hauptmann, Mustafa Al-Rubaye, Miika T. Nieminen, Mikael A. K. Brix, Austin Yunker, Rajkumar Kettimuthu, John C. Roeske, Sasidhar Alavala, Subrahmanyam Gorthi, Carola-Bibiane Schonlieb

“…In this paper, we summarize the motivation, context, and results of our challenge, and highlight the future research directions in DL for clinical CT.…”
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Human action recognition based on low- and high-level data from wearable inertial sensors by Irvin Hussein Lopez-Nava, Angélica Muñoz-Meléndez

“…A set of features related to human limb motions is extracted from the orientation signals (high-level data) and another set from the acceleration raw signals (low-level data) and both are used to build classifiers using four inference algorithms. …”
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Improved approximate check polytope projection algorithm of ADMM penalized decoding for LDPC codes in IoTs by Yue Zhao, Biao Wang

“…Abstract The alternating direction method of multipliers (ADMM) penalized decoding method is a popular technology for low-density parity-check (LDPC) codes in Internet of Things (IoT) communications. …”
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Semantic Edge Collapse: A Mesh Edge Collapse Algorithm preserving per Face Semantic Information by G. Grzeczkowicz, G. Grzeczkowicz, B. Vallet

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Use of weight measurement algorithm on the basis of moving average filter in the recorder of overhead crane operation parameters by A. N. Nazarov, S. D. Ivanov

“…The accepted direction to improve the quality of information about the mass of the cargo is to improve the algorithm of weight measurement. …”
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Hydroacoustic Bottom Soil Profiling Device with Synthetic Aperture by A. V. Vagin, A. S. Vorotyntseva

“…Acoustic profiling is a conventional method for studying the geological structure of the seabed. To this end, a low-frequency acoustic profiler with an operating frequency range of 1…14 kHz can be used. …”
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A robust low‐rank tensor completion model with sparse noise for higher‐order data recovery by Min Wang, Zhuying Chen, Shuyi Zhang

“…To solve the proposed model, an efficient Alternating direction method of multipliers algorithm is developed. …”
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IM/DD-Based 112-Gb/s/lambda PAM-4 Transmission Using 18-Gbps DML by Chao Yang, Rong Hu, Ming Luo, Qi Yang, Cai Li, Haibo Li, Shaohua Yu

“…Single-channel 112-Gb/s PAM-4 transmission based on low-cost intensity modulation and direct detection (IM/DD) optics is experimentally demonstrated over 1-km standard single-mode fiber. …”
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A Compact, Low-Profile Log-Periodic Meandered Dipole Array Antenna with an Artificial Magnetic Conductor by Oh Heon Kwon, Sungwoo Lee, Jong Min Lee, Keum Cheol Hwang

“…A compact and low-profile log-periodic meandered dipole array (LPMDA) antenna with an artificial magnetic conductor (AMC) is proposed. …”
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Centralized base station sleep algorithm based on non-neighbor relation clustering in dense heterogeneous networks by Yikan CAO, Zhibin XIE, Yajun WANG, Benqi XIA

“…A centralized base station sleeping algorithm based on non-neighbor relation clustering was proposed for dense heterogeneous networks.Firstly,based on the non-neighbor relationship criterion,the low power base stations with no direct switching relationship were clustered into several groups.Then,the low power base station running mode decision mechanism and possible base station sleeping decision mechanism was set according to the energy efficiency mean of base station in each cluster and the position relations between the users and the base station.At last,all clusters run the decision mechanism of inner cluster according to the order of the implementation of sleeping algorithm.The simulation results show that the proposed algorithm has satisfactory network performance.…”
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Covariance Matrix Reconstruction to Improve DoA Estimation Using Subspace Method in Low SNR Regime by Sunita Khichar, Wiroonsak Santipach, Lunchakorn Wuttisittikulkij

“…Traditional Direction of Arrival (DoA) estimation methods, such as Multiple Signal Classification Algorithm (MUSIC), Root MUSIC (R-MUSIC), and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT), often suffer significant performance degradation in low Signal-to-Noise Ratio (SNR) environments. …”
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5G-Practical Byzantine Fault Tolerance: An Improved PBFT Consensus Algorithm for the 5G Network by Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng

“…The consensus algorithm is the core technology of blockchain systems to maintain data consistency, and its performance directly affects the efficiency and security of the whole system. …”
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