Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening by Zhuo Zhao, Xiaoxu Liu, Yonghui Guan, Chunfang Li, Zheng Wang

“…The differential algorithm was embedded in the PSPNet neural network and the network was then trained using the generated dataset. …”
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An Explainable CatBoost Model for Crater Classification Based on Digital Elevation Model by Minghao Zhu, Jialong Lai, Xiaoping Zhang, Yi Xu, Weidong He

“…In this study, we propose a machine-learning-based approach using the CatBoost algorithm to classify craters based on variables extracted from Digital Elevation Model (DEM) data. …”
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A Fault Diagnosis Model for Rotating Machinery Using VWC and MSFLA-SVM Based on Vibration Signal Analysis by Lei You, Wenjie Fan, Zongwen Li, Ying Liang, Miao Fang, Jin Wang

“…MSFLA can avoid getting trapped into local optimum, speeding up convergence, and improving classification accuracy. Finally, we evaluate our model on real rotating machinery platform, which has four different states, i.e., normal state, eccentric axle fault (EAF), bearing pedestal fault (BPF), and sealing ring wear fault (SRWF). …”
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Improving the Accuracy in Classification of Blood Pressure from Photoplethysmography Using Continuous Wavelet Transform and Deep Learning by Jiaze Wu, Hao Liang, Changsong Ding, Xindi Huang, Jianhua Huang, Qinghua Peng

“…The receiver-operating characteristic and loss and accuracy curves were used to evaluate and compare the performance of different methods. …”
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Complex Large-Deformation Multimodality Image Registration Network for Image-Guided Radiotherapy of Cervical Cancer by Ping Jiang, Sijia Wu, Wenjian Qin, Yaoqin Xie

“…The DSC index of the MTEF algorithm is 5.64% higher than that of the TransMorph algorithm. …”
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Study on Impact Excitation and System Dynamic Characteristics of Shield Machine Planetary Gear Train by Zeyin HE, Hongjian WU, Zhen YANG, Feng YI, ShiFeng PEI

“…These calculations determined the meshing force between internal and external gear pairs under different impact excitations, clarifying the dynamic evolution between impact excitation and gear pair meshing force. …”
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Universal Vector Calibration for Orientation-Invariant 3D Sensor Data by Wonjoon Son, Lynn Choi

“…We evaluated our algorithm on geomagnetic field-based indoor positioning and bidirectional step detection. …”
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Improved UWB-based indoor positioning system via NLOS classification and error mitigation by Shoude Wang, Nur Syazreen Ahmad

“…In terms of distance measurement error mitigation, the proposed AREKF algorithm reduced errors at the 95th percentile by 70% and 75% in two different environments compared to transfer learning methods on the same public dataset. …”
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Digital three-stage recursive-separable image processing filter with variable sizes of scanning multielement aperture by A. V. Kamenskiy, T. M. Akaeva, D. A. Grebenshchikova

“…In order to evaluate the performance of the filter, a comparison of the developed algorithm with the classical two-dimensional convolution algorithm was carried out. …”
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Multiobjective Route Optimization for Multimodal Cold Chain Networks Considering Carbon Emissions and Food Waste by Yong Peng, Yali Zhang, Dennis Z. Yu, Yijuan Luo

“…We evaluate the proposed algorithm’s performance by analyzing various convergence and distribution indicators. …”
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Research on Recommendation Model Based on Multi-round Dialogue of Large Language Model by CHANG Baofa, CHE Chao, LIANG Yan

“…Experiments results on Amazon’s three benchmark datasets, such as Instructions, Arts and Games, show that the model is better than the comparison baseline algorithm in the two evaluation indices of hit rate (HR) and normalized discounted cumulative gain (NDCG). …”
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A Framework for Human Activity Recognition Based on WiFi CSI Signal Enhancement by Jieming Yang, Yanming Liu, Zhiying Liu, Yun Wu, Tianyang Li, Yuehua Yang

“…Firstly, the sensitivity of different antennas to human activity was studied. An antenna selection algorithm was proposed, which can make a choice of the antenna automatically based on their sensitivity in accordance with different activities. …”
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Optimized Hierarchical Sliding Mode Control for the Swing-Up and Stabilization of a Rotary Inverted Pendulum by Duc-Binh Pham, Quy-Thinh Dao, Thi-Van-Anh Nguyen

“…Simulations were performed to evaluate the performance of the HSMC controller at different initial pendulum angles, demonstrating its effectiveness in achieving swing-up and stabilization. …”
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The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms by Shahrokh Vahabi, Francesca Righetti, Carlo Vallati, Nicola Tonellotto

“…Accurate time-series prediction models, which forecast the future number of function invocations, are crucial for energy-efficient function scheduling, enabling proactive resource allocation. In this work, we evaluate the impact of different neural time-series predictors based on Gaussian processes, recurrent neural networks, and transformer architectures in forecasting the number of function invocations. …”
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Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment by Chuanyu Ma, Chuanyu Ma, Guandu Li, Xiaohan Song, Xiaochen Qi, Tao Jiang

“…The ITH-score of PRAD samples was evaluated using the DEPTH algorithm. The optimal cut-off value of RiskScore was calculated based on the difference in survival curves, and PRAD patients were classified into high ITH and low ITH groups based on the optimal cut-off value. …”
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Filtering Techniques To Reduce Speckle Noise And Image Quality Enhancement Methods On Porous Silicon Images Layers by Tifouti Issam, Rahmouni Salah, Meriane Brahim

“…Recently, many studies have examined filters for reducing or removing speckle noise, which is inherent to different images types such as Porous Silicon (PS) images, in order to ameliorate the metrological evaluation of their applications. …”
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Growing Correspondence Seeds for Efficient and Accurate Satellite DSM Extraction by Amin Sedaghat, Nazila Mohammadi

“…The main property of the Sat-GCS method is the generation of a set of precise and dense tie-points in stage (2), used as initial correspondence seeds to improve the GCS algorithm in stage (4). The proposed method is evaluated on 12 different datasets from four different satellite sensors including ZY3-01, CartoSat-1, ZY3-02, and Worldview-3, and the results are compared with the CATALYST, SAT-MVSF, and SS-DSM methods. …”
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Potential G-quadruplexes and i-Motifs in the SARS-CoV-2. by Efres Belmonte-Reche, Israel Serrano-Chacón, Carlos Gonzalez, Juan Gallo, Manuel Bañobre-López

“…These sequences were evaluated by their in vitro formation probability, their position in the viral RNA, their uniqueness and their conservation rates (calculated in over seventeen thousand different COVID-19 clinical cases and sequenced at different times and locations during the ongoing pandemic). …”
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Unite and conquer approach for data clustering based on particle swarm optimization and moth flame optimization by E. Mosavi, S.A. Shahzadeh Fazeli, E. Abbasi, F. Kaveh-Yazdy

“…The  fficiency of the proposed approach is evaluated utilizing benchmark functions F1-F23. Its efficiency is evaluated with PSO and MFO algorithms on different datasets. …”
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Morlet Wavelet Neural Networks-Based Intelligent Approach to Analyze the Impact of Aligned Magnetic Field on a Nanofluid Thin Film Flow With Irreversibility Analysis and Chemical R... by Muhammad Ramzan, Xiangning Zhou, Abdulkafi Mohammed Saeed, C. Ahamed Saleel, Ibtehal Alazman, W. S. Koh, Seifedine Kadry

“…The novel unsupervised Morlet wavelet neural networks (MW-NNs), combined with a heuristic algorithm, are used to solve the nonlinear ordinary differential equations (ODEs). …”
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