Tool Wear Estimation in the Milling Process Using Backpropagation-Based Machine Learning Algorithm by Giovanni Oliveira de Sousa, Pedro Oliveira Conceição Júnior, Ivan Nunes da Silva, Dennis Brandão, Fábio Romano Lofrano Dotto

“…Some more advanced techniques in tool wear estimation are based on supervised machine learning algorithms, like several other applications in Industry 4.0’s context; however, a satisfactory performance can be obtained with simple techniques and low computational power. …”
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Low Profile and Multiband Antenna Based on Binary Encoding and Multiobjective Optimization With Artificial Intelligence by Wenbo Geng, Guolin Tong

“…This paper presents a low profile and multiband antenna based on binary encoding and multiobjective optimization using artificial intelligence (AI). …”
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A New Approach to ORB Acceleration Using a Modern Low-Power Microcontroller by Jorge Aráez, Santiago Real, Alvaro Araujo

“…The results show a maximum of 0.6 s for ORB execution in 1241 × 376 resolution images, which is significantly slower than other hardware-accelerated solutions but remains viable for certain applications. …”
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Low-Complexity Blind Carrier Phase Recovery for C-mQAM Coherent Systems by Ping Zhang, Hongliang Ren, Mingyi Gao, Jin Lu, Zichun Le, Yali Qin, Weisheng Hu

“…The performances of different cost functions are compared and simulation results show that the cost function can be chosen with the high phase noise tolerance and low computational complexity. Maximum-likelihood phase noise estimation algorithm is combined with the proposed algorithm to mitigate residual phase noise. …”
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Integrated Landslide Risk Assessment via a Landslide Susceptibility Model Based on Intelligent Optimization Algorithms by Xin Dai, Jianping Chen, Tianren Zhang, Chenli Xue

“…This study’s results demonstrate that the RIME-XGBoost landslide susceptibility model exhibits superior stability and accuracy, achieving an AUC score of 0.947, which represents an improvement of 0.064 compared to the unoptimized XGBoost model, while the accuracy shows a maximum increase of 0.15 relative to other models. …”
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Synthesizing Sum and Difference Patterns with Low Complexity Feeding Network by Sharing Element Excitations by Jafar Ramadhan Mohammed

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Development of Low-Cost Single-Chip Automotive 4D Millimeter-Wave Radar by Yongjun Cai, Jie Bai, Hui-Liang Shen, Libo Huang, Bing Rao, Haiyang Wang

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Optimization of Relay Node Deployment in Wireless Sensor Communication Networks Based on IGA-RNDP Algorithm by Shubo Xu, Cheng Zhong

“…In large-scale network environments, the research method deployed the fewest number of relay nodes and had a concentrated distribution, with statistically significant differences compared to other algorithms. The research method could achieve 100% coverage and low coverage redundancy with fewer relay nodes in a shorter period of time. …”
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Predictive channel scheduling algorithm between macro base station and micro base station group by Yinghai XIE, Ruohe YAO, Bin WU

“…A novel predictive channel scheduling algorithm was proposed for non-real-time traffic transmission between macro-base stations and micro-base stations in 5G ultra-cellular networks.First,based on the stochastic stationary process characteristics of wireless channels between stationary communication agents,a discrete channel state probability space was established for the scheduling process from the perspective of classical probability theory,and the event domain was segmented.Then,the efficient scheduling of multi-user,multi-non-real-time services was realized by probability numerical calculation of each event domain.The theoretical analysis and simulation results show that the algorithm has low computational complexity.Compared with other classical scheduling algorithms,the new algorithm can optimize traffic transmission in a longer time dimension,approximate the maximum signal-to-noise ratio algorithm in throughput performance,and increase system throughput by about 14% under heavy load.At the same time,the new algorithm is accurate.Quantitative computation achieves a self-adaption match between the expected traffic rate and the actual scheduling rate.…”
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A Rapid Integration Method of Wild Ornamental Plant Resources Based on Improved Clustering Algorithm by Linlin Cong, Dong Han

“…From the experimental analysis, it is observed that the high-density small-scale and low-density large-scale agglomeration distribution characteristics delay is 1.96 s.…”
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Low-complexity detection for MIMO visible light communication system using generalized spatial modulation by Wei-Chiang Wu, Gan-Lin Chen

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A Geometric Semantic Enhanced TomoSAR Reconstruction Algorithm in an Urban Area: Analysis and Application by Chunyi Wang, Qiancheng Yan, Xiaolan Qiu, Yitong Luo, Lingxiao Peng, Zhe Zhang

“…However, Urban TomoSAR imaging still faces challenges such as resolution limitations, multipath effects, the uncertainty on the flight track, and registration errors, resulting in sparse point clouds with holes and low accuracy. In this paper, we propose a Geometric Semantic Enhanced TomoSAR Reconstruction Algorithm (Geo-SETRA) for urban area. …”
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An Auto-Adjusting Algorithm to Enhance Indoor Localization Accuracy: A Real-Time Experimental Analysis by Othman A. Alfahad, Husham Saied, Emad Malaekah, Ahmed Al Rashdi, Mohammed Emam, Mohsen Bakouri

“…The results demonstrated that the auto-tuning algorithm with dynamic coefficients was able to improve the accuracy of positioning by dynamically adjusting RSSI coefficients; this study successfully reduced the average absolute percentage error of indoor localization by 8% and decreased the maximum localization error to 2.01 meters.…”
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Location method of airborne plant disease source based on a non-local-interpolation algorithm by Jing Zhang, Linglan Zhu, Yifang Wang, Si Chen, Yafei Wang, Shifa Li, Lu Xiao, Ning Yang

“…The early stage pathogens of plant diseases have the characteristic of low concentration and difficult detection, which exacerbates the difficulty of tracing the disease, leading to rapid spread and difficulty in effective control. …”
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Accurate detection of low concentrations of microplastics in soils via short-wave infrared hyperspectral imaging by Huan Chen, Taesung Shin, Bosoon Park, Kyoung Ro, Changyoon Jeong, Hwang-Ju Jeon, Pei-Lin Tan

“…This study evaluated the effectiveness of coupling machine learning algorithms with short-wave infrared hyperspectral imaging in detecting two types of microplastics - polyamide and polyethylene - with the maximum particle sizes of 50 and 300 ​μm, respectively, across three concentration ranges (0.01–0.10, 0.10–1.0, and 1.0–12 ​%) in soils. …”
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Species-level classification of urban trees from WorldView-2 imagery in Debrecen, Hungary: An effective tool for planning a comprehensive green network to reduce dust pollution by Vanda Eva MOLNAR, Edina SIMON, Szilárd SZABÓ

“…The best overall accuracy was achieved with the ML algorithm applied to the first four transformed bands (75.1%), and with the SVM algorithm applied to eight bands (71.0%). …”
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An improved acoustic howling control technique with reduced computational load requirement by Abiodun A. Ogunseye, Thomas K. Yesufu, Temitayo O. Ejidokun

“…In this work, the feedback compensation technique having low computational complexity requirements is presented. …”
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Design of infinite impulse response maximally flat stable digital filter with low group delay by Huoping Yi, Fuhao Chang, Ping Tan, Bingqiang Huang, Yongbo Wu, Zhen Xu, Bingyu Ma, Jien Ma

“…However, infinite impulse response (IIR) MFDFs that are designed by the method are not necessarily stable or may have heavy magnitude overshoots, especially when the desired group delay is low. To overcome this shortcoming, a stability constraint that is characterized by the maximum pole radius is also imposed on the filters in this paper, resulting in IIR maximally flat stable digital filters (MFSDFs). …”
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An Improved PSO-Based DC Discharge Heating Strategy for Lithium-Ion Batteries at Low Temperatures by Shaojian Han, Chengwei Li, Jifeng Ding, Xinhua Gao, Xiaojie Li, Zhiwen Zhang

“…This paper proposes an intelligent low-temperature DC discharge heating optimization strategy based on the PSO algorithm. …”
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Combining Higher-Order Statistics and Array Techniques to Pick Low-Energy P-Seismic Arrivals by Giovanni Messuti, Mauro Palo, Silvia Scarpetta, Ferdinando Napolitano, Francesco Scotto di Uccio, Paolo Capuano, Ortensia Amoroso

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