Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals by Yan Zhao, Ming Guo, Xiangyong Chen, Jianqiang Sun, Jianlong Qiu

“…To effectively improve the performance of the recognition system, the proposed decision fusion algorithm combines Critic method and majority voting strategy to determine the weight values that affect the final decision results. …”
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Time Complexity of Training DNNs With Parallel Computing for Wireless Communications by Pengyu Cong, Chenyang Yang, Shengqian Han, Shuangfeng Han, Xiaoyun Wang

“…Then, we compare the results with the se-FLOPs for inference of the DNNs and for executing a popular numerical algorithm, and provide the scaling laws of these complexities with respect to the numbers of antennas and users. …”
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Fast 3D Transmission Tower Detection Based on Virtual Views by Liwei Zhou, Jiaying Tan, Jing Fu, Guiwei Shao

“…Finally, by leveraging the projection transformation between the virtual image and the 3D point cloud, combined with a 3D region growing algorithm, the 3D points belonging to the TTs are extracted from the whole 3D point cloud. …”
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Optimized ANFIS-Based Robust Nonlinear Control of a Solar Off-Grid Charging Station for Electric Vehicles by Bibi Tabassam Gul, Iftikhar Ahmad, Habibur Rehman, Ammar Hasan

“…The controller gains are optimized using the grey wolf optimization algorithm, and global stability is demonstrated through Lyapunov stability analysis. …”
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Multi-Disaster Hazard Analysis, The Case of Elazığ Province by Fethi Ahmet Canpolat

“…Various methods, such as the Analytic Hierarchy Process (AHP) and machine learning models, including the Random Forest algorithm, were employed to assess the severity and probability of exposure for each hazard type. …”
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Multistage identification method for real-time abnormal events of streaming data by Hao Luo, Kexin Sun, Junlu Wang, Chengfeng Liu, Linlin Ding, Baoyan Song

“…The identification method proposed in this article first takes advantages of the dynamic time warping algorithm, which is widely applied in the field of audio recognition, to build an anti-aliasing model and identifies whether the perceived data are disaster signal based on the similarity fitting between them and the template waveform of historical disaster data, and second, since the real-time monitoring data are continuous streaming data, it is necessary to identify the start point of the disaster waveform before the identification of the disaster signal. …”
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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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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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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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Application of Solutions of Uncorrected Tasksʼ Theory for Managing of Production Processesʼ Robustness by P. S. Serenkov, V. M. Romanchak, I. E. Pesliak

“…Adamar.We have developed a two-step algorithm for ensuring the robustness of production processes at the stage of their development. …”
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Formulas for Generalized Two-Qubit Separability Probabilities by Paul B. Slater

“…Applications of Zeilberger’s algorithm yield “concise” forms of Q(-1,α), Q(1,α), and Q(3,α), parallel to the one obtained previously (Slater 2013) for P(0,α)=2Q(0,α). …”
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