Bilingual hate speech detection on social media: Amharic and Afaan Oromo by Teshome Mulugeta Ababu, Michael Melese Woldeyohannis, Emuye Bawoke Getaneh

“…According to the experiment, BiLSTM with FastText feature extraction is an outperforming the other algorithm by achieving a 78.05% accuracy for Bilingual Amharic Afaan Oromo hate speech detection. …”
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Research on Feature Extracted Method for Flutter Test Based on EMD and CNN by Hua Zheng, Zhenglong Wu, Shiqiang Duan, Jiangtao Zhou

“…The measured signals from a wind tunnel test were manually labeled “flutter” and “no-flutter” as the foundational dataset for the deep learning algorithm. After the normalized preprocessing, the intrinsic mode functions (IMFs) of the flutter test signals are obtained by the EMD method. …”
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Telecommand Rejection Probability in CCSDS-Compliant LDPC-Coded Space Transmissions With Tail Sequence by Rebecca Giuliani, Massimo Battaglioni, Marco Baldi, Franco Chiaraluce, Nicola Maturo

“…., length of the CLTU, decoding algorithm, maximum number of decoding iterations). …”
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A Novel Authentication Management for the Data Security of Smart Grid by Imtiaz Parvez, Maryamossadat Aghili, Hugo Riggs, Aditya Sundararajan, Arif I. Sarwat, Anurag K. Srivastava

“…To implement this node-to-node authentication, One class support vector machine algorithm is proposed which takes advantages of the location information as well as the data transmission history (node identification, packet size, and data transmission frequency). …”
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A Morphology Filter-Assisted Extreme-Point Symmetric Mode Decomposition (MF-ESMD) Denoising Method for Bridge Dynamic Deflection Based on Ground-Based Microwave Interferometry by Xianglei Liu, Mengzhuo Jiang, Ziqi Liu, Hui Wang

“…Second, the noise-dominant IMFs were removed according to Spearman’s rho algorithm, and the other decomposed IMFs were reconstructed as a new signal. …”
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Modeling of CO2 solubility and partial pressure in blended diisopropanolamine and 2-amino-2-methylpropanol solutions via response surface methodology and artificial neural network by Zohreh Khoshraftar

“…The accuracy of the predictions was notably high, with coefficients of determination of 0.99581 for CO2 solubility and 0.99839 for CO2 partial pressure, achieved using the Levenberg-Marquardt algorithm. Upon further analysis, it was concluded that the MLP model exhibited the lowest error rates, with mean square errors of 0.00009085 for CO2 solubility and 0.00316632 for CO2 partial pressure. …”
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A novel arc detection and identification method in pantograph-catenary system based on deep learning by Yue Yan, Hu Liu, Linfeng Gan, Runtong Zhu

“…In order to adapt to arcs with large size differences and improve detection efficiency, the guided anchor is selected to adjust the anchor generation algorithm. In terms of dataset, continuous frame images are intercepted from the video of Integrated Supervision and Control System (ISCS), and image preprocessing operations are performed to improve the model’s detection accuracy of pantograph arcs. …”
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Bioinformatics approach reveals the critical role of inflammation-related genes in age-related hearing loss by Xi Gu, Chenyu Chen, Yuqing Chen, Chaojun Zeng, Yanchun Lin, Ruosi Guo, Shujin Xu, Chang Lin

“…The ROC curve indicated that Alox5ap expression presented a high accuracy in distinguishing between different groups. By CIBERSORT algorithm, 8 humanized key IRDEGs were correlated with the infiltration abundance of 3 immune cells. …”
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Long-term impacts of agricultural greenhouse expansion on albedo, land surface temperature, and vegetation: Evidence from a typical province in China by Fangxin Chen, Cong Ou, Yue Chen, Xiaochuang Yao, Bowen Niu, Zhenbo Du

“…To fill this gap, we utilized multiple remote sensing data, time-series segmentation algorithm, and the Mann-Kendall test to analyze the spatiotemporal evolution patterns of AGs in Shandong Province, China from 2001 to 2018. …”
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Integrated Planning for Shared Electric Vehicle System Considering Carbon Emission Reduction by Xiaohui Sun, Yumei Mi, Askar Ahtam, Zhi Zuo

“…By applying these models to the Chicago Sketch network and using a genetic algorithm to solve the models, it is concluded that the optimal outlet location solution considering carbon emission reduction will increase the outlet construction cost and user travel time cost. …”
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Spinal Instrumentation in the Setting of Nontuberculous Spondylodiscitis: A Prospective Analysis by Himanshu Prasad, P. V. Satyanarayana Murthy, Vamsi K Varma, A. V. Gurava Reddy

“…Purpose: The purpose of this study was to evaluate the efficacy of surgical treatment in nontuberculous spondylodiscitis and its effects on the functional and radiological outcomes and define a treatment algorithm. Overview of Literature: Most of the available literature on surgical management of nontuberculous spondylodiscitis is retrospective in nature. …”
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Evaluating land use ımpact on evapotranspiration in Yellow River Basin China through a novel GSEBAL model: a remote sensing perspective by Sheheryar Khan, Wang Huiliang, Umer Nauman, Muhammad Waseem Boota, Zening Wu

“…This study estimates ET using GSEBAL, an advanced ET estimation algorithm. Google Earth Engine integrates the surface energy balance model-based GSEBAL. …”
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Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis by Kun Zhang, JunHong Fu, Liang Hua, Peijian Zhang, Yeqin Shao, Sheng Xu, Huiyu Zhou, Li Chen, Jing Wang

“…We compare the performance of the proposed algorithm against that of several state-of-the-art technologies on publicly available datasets. …”
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Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data by Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiang-Zhen Kong

“…It is a reliable and efficient clustering algorithm for cancer sample clustering.…”
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Evaluation of Network Security Service Provider Using 2-Tuple Linguistic Complex q-Rung Orthopair Fuzzy COPRAS Method by Sumera Naz, Muhammad Akram, Mohammed M. Ali Al-Shamiri, Muhammad Ramzan Saeed

“…In comparison with existing approaches, the developed decision-making algorithm is most extensively used and reduces the loss of information.…”
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Clinical Validation of Adjusted Corneal Power in Patients with Previous Myopic Lasik Surgery by Vicente J. Camps, David P. Piñero, Veronica Mateo, Celia García, Alberto Artola, Rafael Pérez-Cambrodi, Pedro Ruiz-Fortes

“…This retrospective study comprised 62 eyes of 62 patients that had undergone myopic LASIK surgery. An algorithm for the calculation of nkadj was used for the estimation of the adjusted keratometric corneal power (Pkadj). …”
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Sustainability of the state system in the context of digital transformation by V. A. Kornilovich, K. A. Aramyan, A. V. Milekhin, A. V. Mironov

“…These processes relate to social self-organization and are characteristic of the adaptive algorithm of social changes. At the same time, changes in system parameters do not violate the contours of the existing state system. …”
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Bifurcations in a Nonlinear Dynamical Model between Western Pacific Subtropical High Ridge Line Index and Its Summer Monsoon Impact Factors by Mei Hong, Ren Zhang, Longxia Qian, Jingjing Ge, Jian Chen

“…Then, using genetic algorithm (GA), model inversion and model parameter optimization are carried out. …”
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A review of artificial intelligence techniques for optimizing friction stir welding processes and predicting mechanical properties by Roosvel Soto-Diaz, Mauricio Vásquez-Carbonell, Jose Escorcia-Gutierrez

“…Hybrid models combining AI with optimization algorithms, such as particle swarm optimization (PSO) and genetic algorithms, were particularly effective. …”
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Integrating Pull Request Comment Analysis and Developer Profiles for Expertise-Based Recommendations in Global Software Development by Sara Zamir, Abdul Rehman, Hufsa Mohsin, Elif Zamir, Assad Abbas, Fuad A. M. Al-Yarimi

“…This research intends to create a recommendation system using pull request review comments and selected data from developers’ profiles to recommend better experts based on their dynamic expertise. Using advanced algorithm techniques, the proposed model Global Developer Expertise Recommendation System (GDERS) aims to improve the quality of captured data and substantially increase the accuracy of developer recommendations. …”
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