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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Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective by Minghua Wang, Lianru Gao, Longfei Ren, Xian Sun, Jocelyn Chanussot

“…The proposed algorithm is efficiently solved by the well-designed linearized alternating direction method of multipliers with an adaptive penalty. …”
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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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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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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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An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics by Bin ZHANG, Peng,YUANJie WU, Lingqing SUN, Qiming FU, Yongze ZHANG, Yu LU

“…Aiming at the characteristics such as low contrast,unclear imaging,over-dark or over-bright overall imaging and noise interference in ultraviolet image itself,a Curvelet domain ultraviolet image enhancement algorithm was proposed based on the masking characteristics of human vision.Firstly,the ultraviolet image information was decomposed to different scales and direction sub-bands by Curvelet transform.Secondly,the HVS model was established according to each sub-band,and with its masking characteristics,the nonlinear gain of the high frequency component was used to improve the image contrast.Meanwhile,the low frequency component of nonlinear grayscale stretching could improve the overall brightness of the image.Finally,the processed high and low frequency components were reconstructed by Curvelet backward to obtain enhanced ultraviolet images.The experimental results show that the enhanced image accords with the extraction of image information from human vision and highlights the contour information of edge and target.In addition,it has obvious effect in subjective vision and quantitative index.…”
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Novel adaptive generalized principal component analysis algorithm based on Hebbian rule by Yingbin GAO, Xiangyu KONG, Qiaohua CUI, Haidi DONG

“…In order to adaptively estimate the generalized principal component from input signals,a novel generalized principal component analysis algorithm was proposed based on the Hebbian linear neuron model.Since the autocorrelation matrices of the signals were estimated directly from the sampled data at the current time,the proposed algorithm had low computation complexity.Trough analyzing all of the equilibrium points by Lyapunov method,it is proven that if and only if the weight vector in the neuron had the same direction with the generalized principal component,the proposed algorithm attains the convergence status.Simulation results shows that compared with some same type algorithms,the proposed algorithm has faster convergence speed.…”
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Computationally Efficient DOA Tracking Algorithm in Monostatic MIMO Radar with Automatic Association by Huaxin Yu, Xiaofei Zhang, Xueqiang Chen, Hailang Wu

“…A low-complexity DOA tracking algorithm in monostatic MIMO radar is proposed. …”
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Optimizing music course scheduling with real number encoding and chaos genetic algorithm by Shu Li

“…Traditional scheduling systems usually use simple algorithms or manual intervention, resulting in low efficiency and uneven resource allocation. …”
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Research on APF-Dijkstra Path Planning Fusion Algorithm Based on Steering Model and Volume Constraints by Xizheng Wang, Gang Li, Zijian Bian

“…For the local oscillation phenomenon of the APF algorithm in the face of static U-shaped obstacles, the path cusp phenomenon caused by the vehicle corner and path curvature constraints is not taken into account, as well as the low path safety caused by ignoring the vehicle volume constraints. …”
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A nonrevisiting genetic algorithm based on multi-region guided search strategy by Qijun Wang, Chunxin Sang, Haiping Ma, Chao Wang

“…However, the search efficiency of nonrevisiting genetic algorithms is currently low for some complex optimisation problems. …”
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Graph Knowledge-Enhanced Iterated Greedy Algorithm for Hybrid Flowshop Scheduling Problem by Yingli Li, Biao Zhang, Kaipu Wang, Liping Zhang, Zikai Zhang, Yong Wang

“…This study presents a graph knowledge-enhanced iterated greedy algorithm that incorporates dual directional decoding strategies, disjunctive graphs, neighborhood structures, and a rapid evaluation method to demonstrate its superior performance for the hybrid flowshop scheduling problem (HFSP). …”
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Doppler Shift Based Low Earth Orbit Satellite Terminal Positioning Technology by WEI Fan, WANG Jikang, ZHAO Yuyan, LIAO Yucheng

“…The integration of communication, navigation and remote sensing is the evolutinary direction for future low earth orbit (LEO) satellite Internet to achieve ubiquitous integrated space-based information service. …”
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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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Implementing a transmural model of early palliative care in advanced dementia: the use of a hybrid effectiveness-implementation study design by Allyn Hum, Palvinder Kaur, Wen Yang Goh, Riyin Tay, Han Yee Neo, Mervyn Yong Hwang Koh, Noorhazlina Binte Ali, Wee Shiong Lim, Yu-Ling Jackie Tan, Huei Yaw Wu, Palvannan Kannapiran, Hwee Teng Robyn Tan, Yan Sun, Chin Ee Ong, Ravinder Singh Sachdev, Zhi Jun Low, Lee Hung Tey, Woan Shin Tan, Yew Yoong Ding

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FB-YOLOv8s: A fire detection algorithm based on YOLOv8s by Yuhang Liu, Chunjuan Bo, Chong Feng

“…However, there exist some problems in traditional detection algorithms of fire, such as low accuracy, high miss rate, and low detection rate of small targets. …”
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