Robust and Sparse Kernel-Free Quadratic Surface LSR via L_2,p-Norm With Feature Selection for Multi-Class Image Classification by Yongqi Zhu, Zhixia Yang, Junyou Ye, Yongxing Hu

“…To enhance practical applications, such as image classification, a simplified version of the method is proposed. An iterative algorithm for RSQSLSR is designed and its convergence is proved theoretically. …”
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Comparison Between Convolutional Neural Network CNN and SVM in Skin Cancer Images Recognition by Zaid Ghazi Hadi, Ahmed R. Ajel, Ayad Q. Al-Dujaili

“…Which is a supervised learning algorithm and it is used for classification of data for the different classes based on a separating hyperplane. …”
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Determining Planetary Boundary Layer Height by Micro-pulse Lidar with Validation by UAV Measurements by Yueh-Chen Wang, Sheng-Hsiang Wang, Jasper R. Lewis, Shuenn-Chin Chang, Stephen M. Griffith

“…Furthermore, the Haar wavelet and the Hybrid image processing can detect the PBL development comparably well, but both methods are dependent on their initial conditions and optimized algorithm settings. In addition, the accompanying UAV observations are conclusively shown to have a high degree of efficacy for validating the lidar data. …”
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Machine learning-assisted design of Ti–V–Nb–Mo refractory high-entropy alloys with higher ductility and specific yield strength by Yan Li, Junjie Gong, Shilong Liang, Wei Wu, Yongxin Wang, Zheng Chen

“…The combination of the aforementioned dataset with the solid solution strengthening (SSH) model and the D (γs/γusf) parameter enabled the construction of a highly accurate strength-ductility prediction model for the alloys through the use of an XGBoost algorithm. The model was employed to predict the compositions of two novel RHEAs and their mechanical properties were verified by experiments. …”
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Automatic monitoring of treated water released from wastewater treatment plants using model-based clustering with density estimation by Sheik Faritha Begum, K Lokeshwaran

“…Model-based density clustering algorithm discovers 3 clusters, with half lying in size range of 14–89 and a maximum size of 352. …”
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Problems of legal regulation of start-ups in Ukraine by I. V. Lysenko, А. M. Lysenko, L. V. Perevalova

“…The article is devoted to the study of the theoretical and legal nature of start-ups, their features, and the legal algorithm of their creation, operation, and termination of activities, with due regard to the existing legislative provisions and doctrinal developments. …”
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Accurate inversion of chlorophyll content based on PROSPECT-LSROGF-BAS-BP method by Shengfan Zhu, Jin Zhang, Dan Wang, Rui Ding

“…Next, to improve the retrieval accuracy of traditional BP neural networks for chlorophyll content, the Beetle Antennae Search (BAS) algorithm is used to optimize the weights and thresholds of the BP neural network, forming the BAS-BP model. …”
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Real-Time Resonance Detection and Active Damping in Energy Recovery Railways Applications by Giovanni Marini, Alessandro Lidozzi, Marco di Benedetto, M. Moranchel Perez, Luca Solero

“…Thanks to the HIL, the complete catenary system has been modeled according to the real data provided by the train operator. The control algorithm and the related control board have the same structure as the architecture used in the field. …”
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A Method for Tomato Ripeness Recognition and Detection Based on an Improved YOLOv8 Model by Zhanshuo Yang, Yaxian Li, Qiyu Han, Haoming Wang, Chunjiang Li, Zhandong Wu

“…Thus, a deep learning algorithm for tomato ripeness detection based on an improved YOLOv8n is proposed in this study. …”
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A Novel Intensive Distribution Logistics Network Design and Profit Allocation Problem considering Sharing Economy by Mi Gan, Shuai Yang, Dandan Li, Mingfei Wang, Si Chen, Ronghui Xie, Jiyang Liu

“…Analyzing customer shopping behavior by the big data technology to determine customer’s logistics preference on the basis of dividing the customer’s logistics preference into high speed, low cost, and low pollution and then constructing the corresponding objective function model according to different logistics preferences, we obtain the intensive distribution logistics network model and solve it with heuristic algorithm. Furthermore, this paper analyzes the mechanism of interest distribution of the participants in the distribution network and puts forward an improved interval Shapley value method considering both satisfaction and contribution, with case verifying the feasibility and effectiveness of the model. …”
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Deep Learning Based Dual Channel Banana Grading System Using Convolution Neural Network by Raghavendra S, Souvik Ganguli, P. Thirumarai Selvan, Mitali Madhusmita Nayak, Sushovan Chaudhury, Randell U. Espina, Isaac Ofori

“…Classification of various stages of fruit maturity using machine learning algorithms is a difficult task since it is difficult to distinguish the visual features of the fruits at different maturity stages. …”
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Depression Recognition Using Daily Wearable-Derived Physiological Data by Xinyu Shui, Hao Xu, Shuping Tan, Dan Zhang

“…Utilizing a Random Forest algorithm, we distinguished depressive and non-depressive individuals with varying classification accuracies on data aggregated over 6 h, 2 h, 30 min, and 5 min segments, as 90.0%, 84.7%, 80.1%, and 76.0%, respectively. …”
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Least Square Estimation-Based Different Fast Fading Channel Models in MIMO-OFDM Systems by Walaa Hussein, Kamil Audah, N. K. Noordin, Habib Kraiem, Aymen Flah, Mohd Fadlee, Alyani Ismail

“…To address this issue, an efficient dataset is utilized, employing the least square (LS) algorithm for minimization. OFDM is a commonly and widely used modulation method in communication systems utilized to specifically combat resonance fading in wireless channels. …”
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Improving a Low Axial Resolution Due to Improper Wavelength Calibration in Spectral-Domain Optical Coherence Tomography by Mengsi Zhang, Songjie Luo, Osami Sasaki, Ziyang Chen, Jixiong Pu

“…Utilizing the nonlinear component of phase distribution in wavenumber domain and the optimization algorithm, an optimized coefficient is obtained and used to improve the axial resolution. …”
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Energy-Efficient Aerial STAR-RIS-Aided Computing Offloading and Content Caching for Wireless Sensor Networks by Xiaoping Yang, Quanzeng Wang, Bin Yang, Xiaofang Cao

“…We propose a deep reinforcement learning (DRL)–successive convex approximation (SCA) combined algorithm to iteratively achieve near-optimal solutions with low complexity. …”
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Analysis of the Outer Contour Characteristics of Roadway Forming under the Influence of Cutting Head Vibration by Zhixiang Liu, Shuai Wang, Miao Xie, Chunxue Xie

“…The vibration of the cutting head when cutting coal and rock will have a great influence on the outer profile of the roadway, which cannot be ignored in the research of accurate autonomous cutting control algorithm of roadheader. The research results of this paper can provide a basis for the optimization of cutting parameters and high-precision forming control method of roadheader.…”
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Ionospheric Nowcasting Over Italy Through Data Assimilation: A Synergy Between IRI UP and IONORING by Alessio Pignalberi, Claudio Cesaroni, Marco Pietrella, Michael Pezzopane, Luca Spogli, Carlo Marcocci, Emanuele Pica

“…To enhance our predictive capabilities, we present an upgrade of the IRI UP data‐assimilation method, incorporating real‐time vertical total electron content (vTEC) maps from the IONORING algorithm for nowcasting ionospheric conditions over Italy. …”
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SIAT-WEXv2: A Wearable Exoskeleton for Reducing Lumbar Load during Lifting Tasks by Xinyu Ji, Dashuai Wang, Pengfei Li, Liangsheng Zheng, Jianquan Sun, Xinyu Wu

“…Additionally, we use robust fuzzy adaptive algorithm to improve SIAT-WEXv2’s antidisturbance ability, so that it can provide continuous and supple assistance for wearer. …”
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A Two-Stage Method for Screening Pulse RFI in SAR Raw Data Alternating the Use of Time and Frequency Domains by Tingting Wei, Xingwang Hu, Zhengwei Guo, Gaofeng Shu, Yabo Huang, Ning Li

“…Then, the preliminary screening results are accumulated along the range direction, and the accumulated results are classified using a clustering algorithm to perform pulse-level screening to obtain the serial number of the pulses containing PRFI. …”
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Research on Optimization of Large-Scale Heterogeneous Combat Network Based on Graph Embedding by Xianzheng Meng, Changrong Xie, Hui Li, Guangjun Zeng, Kebin Chen

“…It has shown a 17.23% improvement in this aspect compared to HCNOF0 and a 6.89% enhancement when compared to the GE-SU-EANet algorithm, underscoring its advantages in both optimization performance and cost reduction. …”
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