Simulations suggest offshore wind farms modify low-level jets by D. Quint, D. Quint, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, D. Rosencrans

“…We develop and present an algorithm to detect LLJs at each hour of the year at each of these locations. …”
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The perception of naturalness correlates with low-level visual features of environmental scenes. by Marc G Berman, Michael C Hout, Omid Kardan, MaryCarol R Hunter, Grigori Yourganov, John M Henderson, Taylor Hanayik, Hossein Karimi, John Jonides

“…We then trained a machine-learning algorithm to predict whether a scene was perceived as being natural or not based on these low-level visual features and we could do so with 81% accuracy. …”
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Compressive SAR Imaging Based on Modified Low-Rank and Sparse Decomposition by Jeong-Il Byeon, Wookyung Lee, Jihoon Choi

“…For the CS-MLRSD scheme, an iterative thresholding algorithm is derived to separately reconstruct the low-rank and sparse components. …”
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Adversarial attacks dataset for low light image enhancementMendeley Data by Axel Martinez, Matthieu Olague, Gustavo Olague, Emilio Hernandez, Julio Cesar Lopez-Arredondo

“…Enhancement tasks for low-light images are an open problem whose solutions can impact downstream tasks in fields like surveillance, medicine, autonomous driving, or object detection. …”
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Neo-antigen specific cancer vaccines for acute lymphoblastic leukemia—challenges, opportunities, and future directions by Victoria Bloch Blytt Sandstad, Signe Modvig, Morten Orebo Holmström

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Modeling of digital spatial processing under conditions of troposphere propagation of centimeter radio waves for wireless telecommunication by Ilia W. Peshkov, Dmitry N. Borisov

“…The performance of algorithms for direction-of-arrival estimation and beamforming in the troposphere can be evaluated using ray tracing simulation.Methods. …”
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Partition detection for large scale ad hoc networks by LI Jian-dong, TIAN Ye, SHENG Min, ZHANG Yan, YAO Jun-liang

“…As the failure of a critical node will directly partition a network,a theorem for critical node identification was proved,which indicates that node degree Ni and elementary loop degree Mi of node i are two decisive factors for the exis-tence of a critical node and shows that Ni-Mi≥ 2 is the necessary and sufficient condition for node i being critical.Based on the theorem,a distributed topology partition detection algorithm（distributed partition detection protocol,DPDP） was presented for large scale networks,which achieves the goal of partition detection efficiently by detecting critical nodes in a local area.Theoretic analysis and experiment results show that DPDP has the advantages of low complexity,high accuracy,low cost as well as good scalability,and is superior to other algorithms.…”
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A Multistep Framework for Vision Based Vehicle Detection by Hai Wang, Yingfeng Cai

“…On road experimental results demonstrate that the algorithm performs better than state-of-the-art vehicle detection algorithm in testing data sets.…”
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Prevention and Detection Methods for Enhancing Security in an RFID System by Jing Huey Khor, Widad Ismail, Mohammad Ghulam Rahman

“…The received power of tag is used as a unique electronic fingerprint to detect cloning tags. t -test algorithm is used to analyze received power of tag at single-frequency band to distinguish between legitimate and counterfeit tag. …”
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Design and Implementation of an Ultra-Low-Power Hazardous Gas Monitoring System by Hongyu Liu, Yuchen Wang, Jiankang Yu, Shuqing Wang, Huijuan Chen

“…While ensuring real-time data acquisition and transmission, it achieves extremely low power consumption. By controlling the concentration of harmful gases and current for sensor performance testing, the experiment has shown that when the concentration of carbon monoxide reaches 500 ppm and methane reaches 2000 ppm, the system will trigger an alarm and upload relevant information; the sensor can detect and respond to the harmful gases within 60 s; and the system’s operating current fluctuation range remains within 0.5 mA, with an average power consumption much lower than that of other devices.…”
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Low Anterior Resection Syndrome: Pathophysiology, Risk Factors, and Current Management by Seung Mi Yeo, Gyung Mo Son

“…Low anterior resection syndrome (LARS) is a condition of anorectal dysfunction that occurs frequently following anal sphincter-preserving surgery for rectal cancer and can reduce the quality of life. …”
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Low-threshold dual-polarization electro-optic nonlinear activation functions by Tao Jin, Jian Lin, Pengjun Wang, Qiang Fu, Yuhan Sun, Yi Zou, Shixun Dai, Weiwei Chen, Jun Li, Tingge Dai, Jianyi Yang

“…This scheme relies on a structure composed of an optical power splitter and a thermo-optic modulator based on Mach–Zehnder interferometer, which are optimized by using direct binary search and particle swarm optimization algorithms. …”
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Low-Altitude Unmanned Aerial Vehicle Technology: Current Status and Prospects by Jun Zhang, Lei Chen, Zhijie Gao, Yingxian Duo

“…Through in-depth analysis of the current status and research trends across these three domains, the study proposes future technical directions focusing on bionic configurations, composite materials, multi-source fusion positioning, and hybrid intelligent algorithms. …”
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An enhanced pivot-based neural machine translation for low-resource languages by Danang Arbian Sulistyo, Aji Prasetya Wibawa, Didik Dwi Prasetya, Fadhli Almuíini Ahda

“…The principal objective of this research is to enhance translation precision and uniformity among these low-resource languages, hence advancing machine translation models for underrepresented languages. …”
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Spectrum sensing algorithm based on stochastic resonance and non-central F-distribution by Yuanmeng FAN, Shunlan LIU

“…To solve the problem that the detection probability of the spectrum sensing algorithm is low and the number of samples required for detection is large at low signal-to-noise ratio (SNR), a spectrum sensing algorithm based on stochastic resonance and non-central F-distribution (SRNF) was proposed.By introducing direct-current stochastic resonance noise, the system model of SRNF was established, and the expression of test statistic, false alarm probability and detection probability, and the expression of decision threshold obeying non-central F-distribution were deduced, and the optimal stochastic resonance noise parameter was solved by numerical method.The simulation results show that the detection performance of the proposed SRNF algorithm is better than that of energy detection (ED) algorithm and blind spectrum sensing based on F-distribution (BSF) algorithm at a low SNR.When the false alarm probability is 5%, the SNR is -12 dB, and the number of samples is 200, the detection probability of the proposed algorithm is 95%, which is 34% and 67% higher than BSF algorithm and ED algorithm, respectively.When the SNR is -12 dB, and the detection probability reaches 95%, the number of samples required by the proposed algorithm is 210, which saves 340 samples compared to the BSF algorithm.Furthermore, the proposed algorithm is less affected by noise uncertainty than ED algorithm.…”
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Video Detection and Fusion Tracking for the Targets in Traffic Scenario by Pan Li, Jianing Zhang, Chengxi Han, Luping Xu, Baoguo Feng, Yongjun Zhou, Sen Zhang, Bo Zhang

“…Radar, while effective at measuring speed, often faces issues such as false tracks, redundant tracks, and low visibility in tracking traffic targets. On the other hand, video provides high visualization but struggles with problems such as target adhesion, low detection confidence, and difficulty in speed measurement. …”
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A Study of Null Broadening Algorithms for Navigation Receivers in Highly Dynamic Scenarios by Yuanfa Ji, Tao He, Yu Chen, Chenggan Wen, Xiyan Sun

“…Moreover, the signal can be successfully acquired even when the input jamming-to-signal ratio (ISR) is relatively low. When there is a deviation in the jamming direction, the proposed algorithm demonstrates robust null broadening performance even with a small number of snapshots. …”
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Biological Image Processing Algorithm Based on Attention Mechanism and Convolutional Neural Network by Lisong Ou

“…The experimental results show that the proposed algorithm can effectively improve the image quality, improve the image clarity, avoid color distortion, and achieve good results in both synthetic and real low-illumination images, and the subjective and objective evaluation indicators are better than the contrast algorithm.…”
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Narrowband Theta Investigations for Detecting Cognitive Mental Load by Silviu Ionita, Daniela Andreea Coman

“…In this research, it was used just for model comparison. A cognitive load detection algorithm based on these signal metrics was developed and tested on original experimental data. …”
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Improvement on moving object tracking method for network video surveillance by Guang-xing HAN, Chong-rong LI

“…To improve the performance of the traditional MeanShift algorithm based on Kalman filter,acceleration to solve the problem that the moving target changes the direction abruptly is proposed.Another algorithm using simplified Camshift algorithm to keep track of the blob size has low time complexity which meets the real time requirement of network video surveillance.…”
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