Biochemical and physiological characterization of Aedes aegypti midgut chymotrypsin by Abigail G. Ramirez, Jun Isoe, Mateus Sá Magalhães Serafim, Daniel Fong, My Anh Le, James T. Nguyen, Olive E. Burata, Rachael M. Lucero, Rebecca K. Spangler, Alberto A. Rascón

“…Thus, elucidating the activity and specific roles of all midgut proteases will help understand the complexity of the digestion process and help validate them as potential targets for the development of a new vector control strategy. …”
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A Study on Denoising Autoencoder Noise Selection for Improving the Fault Diagnosis Rate of Vibration Time Series Data by Jun-gyo Jang, Soon-sup Lee, Se-Yun Hwang, Jae-chul Lee

“…The fault diagnosis rates were calculated using One-Class Support Vector Machines (OC-SVM) for performance comparison. …”
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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

“…In this paper, we introduce a novel imbalanced learning approach named Imbalanced Maximizing-Area Under the Curve (AUC) Proximal Support Vector Machine (ImAUC-PSVM), which harnesses the foundational principles of traditional PSVM for the detection of CVDs. …”
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Non-global logarithms up to four loops at finite-N c for V/H+jet processes at hadron colliders by Kamel Khelifa-Kerfa

“…Abstract We extend our previous work [1] on calculating non-global logarithms in e + e − annihilation to Higgs/vector boson production in association with a single hard jet at hadron colliders. …”
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Classification and Recognition Method for Bearing Fault based on IFOA-SVM by Wei Zhang, Zhihua Ma

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Modified t-Distribution Stochastic Neighbor Embedding Using Augmented Kernel Mahalanobis-Distance for Dynamic Multimode Chemical Process Monitoring by Haoyu Gu, Li Wang

“…The traditional data-driven process monitoring methods may not be applicable for the system which has dynamic and multimode characteristics. …”
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The essence, features and stages in the development of urbanization by L.V. Sergienko, K.M. Voitsitska

“…It is established that urbanization is a complex global process that influences the socio-economic development of regions, and its characteristic features are defined. …”
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Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis) by Omid Ashkriz, Babak Mirbagheri, Ali Akbar Matkan, Alireza Shakiba

“…To prevent over-fitting of algorithms to training samples and to obtain optimistic results, in the process of extracting optimal parameters of machine learning algorithms, the spatial cross-validation method was used to reduce the spatial correlation between training and test data.Results and discussion: The results showed that the random forest algorithm with the area under the ROC curve of 0.9228 compared to the support vector machine and multilayer perceptron neural network algorithms with 0.8951 and 0.8726, respectively, had a better performance in estimating the change potential of non-urban to urban areas. …”
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An SVDD-based post-processing approach for vibration risk assessment of the hydro-turbine-generator in a large hydropower station by Jinliang Zhang, Fengwei Yang, Chao Liang, Yuansheng Zhang, Yongchang Li

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Applying Two-Stage Neural Network Based Classifiers to the Identification of Mixture Control Chart Patterns for an SPC-EPC Process by Yuehjen E. Shao, Po-Yu Chang, Chi-Jie Lu

“…The effective controlling and monitoring of an industrial process through the integration of statistical process control (SPC) and engineering process control (EPC) has been widely addressed in recent years. …”
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Grading evaluation method for inter-turn short circuit of permanent magnet traction motor based on deep Gaussian processes by DAI Jisheng, HU Dean, XU Hailong, ZHU Wenlong, LIAO Qishu

“…Then, a doubly stochastic deep Gaussian processes (DSDGP) method was adopted to fuse and train the extracted features, achieving online grading evaluation of inter-turn short circuit degradation in permanent magnet traction motors. …”
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Statistical modeling and application of machine learning for antibiotic degradation using UV/persulfate-peroxide based advanced oxidation process by Musfekur Rahman Dihan, Md. Ashraful Alam, Surya Akter, Md. Abdul Gafur, Md. Shahinoor Islam

“…For designing an efficient homogeneous advanced oxidation process (AOP) based wastewater treatment, understanding the performance of multiple oxidants in multiple contaminant matrices is imperative, with appropriate modeling and prediction of the desired performance. …”
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Perspectives of Co-Operation between the Baltic Countries and the Eurasian Economic Union Member States in the Context of Eurasian Integration Process by Yana Glittova, Andrey V. Toropygin

“…It is highlited the importance of full restoration of economic and trade ties.One of the key issues of the article is that the integration processes in the Eurasian space have activated the process of implementation which is dynamically developing within EAEU. …”
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First Identification of Emerging Pathogenic Yeast in <i>Clogmia albipunctata</i> (Diptera: Psychodidae) at a Brazilian Hospital by Kéren Vieira-Alcântara, Thiago Pavoni Gomes Chagas, Gisela Lara da Costa, Tatiane Nobre Pinto, Manoel Marques Evangelista Oliveira, Viviane Zahner

“…Twenty-six drain flies were collected from a tertiary hospital using sterile tubes and processed within two hours. The insects were identified as <i>Clogmia albipunctata</i> (Williston, 1893). …”
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Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning by Peter Werner Egger, Gidugu Lakshmi Srinivas, Mathias Brandstötter

“…Machine learning models such as linear regression, Support Vector Machine, decision tree, and Gaussian Process Regression were evaluated to correlate force with capacitance values. …”
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Process‐Based Atmosphere‐Hydrology‐Malaria Modeling: Performance for Spatio‐Temporal Malaria Transmission Dynamics in Sub‐Saharan Africa by Mame Diarra Bousso Dieng, Adrian M. Tompkins, Joël Arnault, Ali Sié, Benjamin Fersch, Patrick Laux, Maximilian Schwarz, Pascal Zabré, Stephen Munga, Sammy Khagayi, Ibrahima Diouf, Harald Kunstmann

“…In support of malaria vector control efforts, we present a high‐resolution, coupled physically‐based modeling approach integrating WRF‐Hydro and VECTRI. …”
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Detection of Q235 Mild Steel Resistance Spot Welding Defects Based on EMD-SVM by Yuxin Wu, Xiangdong Gao, Dongfang Zhang, Perry Gao

“…Welding current and voltage were collected in real-time, and DR signals were processed employing a second-order Butterworth low-pass filter featuring zero-phase processing to enhance accuracy. …”
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rhBNN+ Comprehensive Detections and Analyses of the Human Body Temperatures and Sounds by the Same Smart Mask by Bingcan Liao, Pin Sun, Shuyi Chen, Rihong Huang, Junyu Yang, Guofeng Li, Chengzhi Lv, Nan Zhu, Shui Guan, Hailong Liu, Rong Liu, Ali Mansouri, Changkai Sun

“…Collected data is instantly transmitted to the processing unit. Temperature readings are labeled and stored for analysis, while audio data is classified into breathing, coughing, and speaking categories using the Support Vector Machine (SVM) algorithm. …”
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Hybrid IoT-CAD system: optimized feature selection based gated recurrent residual deep learning for cyber attack detection in IoT networks by Susheela Vishnoi, Sunil Kumar, Saikat Samanta

“…The proposed IoT system includes four steps: pre-processing, augmentation, feature selection, and classification. …”
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Safety Supervision Method for Power Operation Site Based on Machine Learning and Image Recognition by Zhengwei CHANG, Qian PENG, Ying CHEN

“…It is proposed to use the histogram of oriented gradient (HOG) and support vector machine (SVM) for full frame personnel detection, and then the OpenCV-based image processing technology is used to determine any personnel intrusion into the alert area. …”
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