Coupling Cu2O clusters and imine-linked COFs on microfiltration membranes for fast and robust water sterilization by Shijia Luo, Jinglin Gao, Congcong Yin, Yanqiu Lu, Yong Wang

“…Furthermore, these anchored Cu2O clusters significantly optimize electron transport within the ultra-thin layer of TbPa, thereby enhancing the performance of the membrane in generating reactive oxygen species (ROS). Consequently, this membrane achieves a flux recovery rate exceeding 98.6% for flux losses caused by bacterial fouling and maintains consistent performance over 10 cycles. …”
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Maximum power point tracking in fuel cells an AI controller based on metaheuristic optimisation by P.M. Preethiraj, Belwin Edward J.

“…The applied control logic, in my opinion, Cascaded ANFIS is capable of operating the BLDC with an operational efficiency of 98.92%, including better output voltage generations of 350 V.…”
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Sizing and Simulation of PV-Wind Hybrid Power System by Mustafa Engin

“…The output of the program will display the performance of the system during the year, the total cost of the system, and the best size for the PV-generator, wind generator, and battery capacity. Security lightning application is selected, whereas system performance data and environmental operating conditions are measured and stored. …”
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Large-Scale Real-Time Semantic Processing Framework for Internet of Things by Xi Chen, Huajun Chen, Ningyu Zhang, Jue Huang, Wen Zhang

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Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

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Vasile Pârvan by Eugen Simion

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Study of the Effect of Centrifugal Force on Rotor Blade Icing Process by Zhengzhi Wang, Chunling Zhu

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Nonexposure Accurate Location K-Anonymity Algorithm in LBS by Jinying Jia, Fengli Zhang

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Research on Fatigue Life and Node Displacement Modification Method of Helical Gears by Li Yufeng, Li Dongyang, Wu Luji, Ge Shixiang, Yang Yongfei, Chang Hao

“…The tooth profile correction curve is obtained by using the optimal symbolic node displacement class index basis function fitting method, which is highly consistent with the deformation generated by the load on the gear teeth. Compared with traditional linear modification, the fatigue life is increased by 16.98%. …”
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Racial inequality in the production of fresh vegetables and cut flowers in Argentina: an analysis in Greater La Plata by Nuria Caimmi

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Cooperation-based location authentication scheme for crowdsensing applications by Youliang TIAN, Maoqing TIAN, Hongfeng GAO, Miao HE, Jinbo XIONG

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Neurotourism Insights: Eye Tracking and Galvanic Analysis of Tourism Destination Brand Logos and AI Visuals by Víctor Calderón-Fajardo, Rafael Anaya-Sánchez, Francisco Rejón-Guardia, Sebastian Molinillo

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Stress response in women mistreated by mate. An approach to its study by Laura López Angulo, Juan José Apollinaire Pennini, Marlen Array, Addis Moya Ávila

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ROLE OF THE AMERICAN SOCIETY FOR ENGINEERING EDUCATION IN ENCOURAGING DISTANCE EDUCATION AND OTHER METHODS TO REDUCE COSTS OF ENGINEERING EDUCATION by Walter W. Buchanan

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Bayesian Classifier with Simplified Learning Phase for Detecting Microcalcifications in Digital Mammograms by Imad Zyout, Ikhlas Abdel-Qader, Christina Jacobs

“…This proposed work extracts textural, spectral, and statistical features of each input mammogram and generates models of real MCs to be used as training samples through a simplified learning phase of the Bayesian classifier. …”
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Network intrusion detection method based on VAE-CWGAN and fusion of statistical importance of feature by Taotao LIU, Yu FU, Kun WANG, Xueyuan DUAN

“…Considering the problems of traditional intrusion detection methods limited by the class imbalance of datasets and the poor representation of selected features, a detection method based on VAE-CWGAN and fusion of statistical importance of features was proposed.Firstly, data preprocessing was conducted to enhance data quality.Secondly, a VAE-CWGAN model was constructed to generate new samples, addressing the problem of imbalanced datasets, ensuring that the classification model no longer biased towards the majority class.Next, standard deviation, difference of median and mean were used to rank the features and fusion their statistical importance for feature selection, aiming to obtain more representative features, which made the model can better learn data information.Finally, the mixed data set after feature selection was classified through a one-dimensional convolutional neural network.Experimental results show that the proposed method demonstrates good performance advantages on three datasets, namely NSL-KDD, UNSW-NB15, and CIC-IDS-2017.The accuracy rates are 98.95%, 96.24%, and 99.92%, respectively, effectively improving the performance of intrusion detection.…”
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FINITE ELEMENT ANALYSIS AND EXPERIMENTAL STUDY ON THE STRENGTH OF A HEAVY LOAD TRANSMISSION END CAP by YAO Yao, YU WeiYi, ZHAO LiHui, MA Jiong, FENG JinZhi, ZHENG SongLin

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Digital chefs and intelligent cooking systems based on multimodal large language model by LI Xinyuan, LI Bai, SUN Yueshuo, ZHANG Tantan, TIAN Yonglin, YIN Zhuyan, WANG Fei-Yue

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Examining transaction-specific satisfaction and trust in Airbnb and hotels. An application of BERTopic and Zero-shot text classification by Manuel Rey-Moreno, Manuel Jesús Sánchez-Franco, María De la Sierra Rey-Tienda

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Understanding Large-Scale Social Relationship Data by Combining Conceptual Graphs and Domain Ontologies by Zhao Huang, Liu Yuan

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