Semi-probabilistic assessment of existing bridge using simplified methods for estimation of variance by Lukáš Novák, Drahomír Novák

“…The key ingredient in semi-probabilistic design and assessment of structures is an estimation of coefficient of variation (ECoV). Recently, correlation interval approach together with novel Eigen ECoV were proposed by authors of this paper and theoretically proved to be an efficient and accurate alternative to existing methods. …”
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Seasonal variation in gas exchange and water status of cocoa clones (Theobroma cacao L.) from contrasting agroecological conditions by Dannes Cristobal Vargas Almeida, Ramon Jaimez, Victor Reynel, Wilmer Tezara

“…Site and years of study: Esmeraldas province, Ecuador, during 2022. Methods: Seasonal variation was evaluated for: water potential (Y), hydraulic conductance (KL), photosynthetic rate (A), transpiration rate (E), stomatal conductance (gs), intercellular CO2 concentration (Ci), water use efficiency (WUE), leaf area index (LAI) and chlorophyll content (SPAD). …”
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Comprehensive response assessment of water use efficiency to climate change in ecologically fragile karst areas by Baiyu Lu, Hang Yao, Linsen Zhu, Zhili Chen

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Current and Near-Future Technologies to Quantify Nanoparticle Therapeutic Loading Efficiency and Surface Coating Efficiency with Targeted Moieties by Vy Tran, Na Nguyen, Scott Renkes, Kytai T. Nguyen, Tam Nguyen, George Alexandrakis

“…Accurate quality control methods for nanoparticle therapeutic payload and coating characterization are critical for attaining the desired levels of batch repeatability, drug/gene loading efficiency, targeting molecule coating effectiveness, and safety profiles. …”
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Approximate methods for solving local fractional integral equations by Hassan Kamil Jassim

“…Some examples are presented to illustrate the efficiency and accuracy of the proposed methods. The obtained results reveal that the proposed methods are very efficient and simple tools for solving local fractional integral equations.…”
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Vegetation Quality Assessment of the Shaanxi Section of the Yellow River Basin Based on NDVI and Rain-Use Efficiency by Zhao Liu, Danyue Wang, Lei Han, Hongliang Kang, Xinxin Cao

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Analysis on APF Calculation Problem Caused by the Optional Method to Obtaining Performance Parameters of Low-temperature Intermediate Refrigeration Condition in GB 21455—2019 by Chen Xuancheng, Zhuang Dawei, Ding Guoliang, Yu Yuefeng, Cheng Jianhong, Wu Guoming

“…The test method given in the national standard causes a variation in energy efficiency under rated intermediate cooling conditions, contrary to the variation in the calculated APF value, which is not reasonable. …”
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Optimizing downlink of CR-NOMA resource allocation: A fairness index approach to balancing system performance and energy efficiency by Nahla Nur Elmadina, Rashid A. Saeed, Elmustafa Sayed Ali, Elsadig Saeid, Rania A. Mokhtar

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A colony multiplex quantitative PCR-Based 3S3DBC method and variations of it for screening DNA libraries. by Yang An, Atsushi Toyoda, Chen Zhao, Asao Fujiyama, Kiyokazu Agata

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A semantic‐based method for analysing unknown malicious behaviours via hyper‐spherical variational auto‐encoders by Yi‐feng Wang, Yuan‐bo Guo, Chen Fang

“…The experimental results indicate that the proposed method is efficient in the analysis of unknown malicious behaviours.…”
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Method to Correct the Velocity Variation Information of an Automatic Crash Notification System in Vehicle-to-Rigid Barrier Frontal Collisions by Ying Lu, Xiaojie Ji, Yu Shu

“…To improve the accuracy and efficiency of ACNSs, a method to correct the velocity variation information of ACNSs was established. …”
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Mine cable partial discharge denoising method based on multivariate variational mode decomposition and improved wavelet threshold by Jiyuan CAO, Yanwen WANG, Peng CHEN, Xuan ZHOU, Weixiong ZHU, Yihe ZHANG, Le WANG

“…The new improved wavelet threshold algorithm is used to denoise the partial discharge reconstruction signal, and the partial discharge denoising signal is obtained. The proposed method is compared with several common methods. The results show that the proposed method has a good noise reduction effect on the simulated partial discharge signal and the measured partial discharge signal, and the operation efficiency of the algorithm is good.…”
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Efficiency of Multi-Terminators Method to Reveal Seismic Precursors in Sub-Ionospheric VLF Transmitter Signals: Case Study of Turkey–Syria Earthquakes Mw7.8 of 6 February 2023 by Mohammed Y. Boudjada, Patrick H. M. Galopeau, Sami Sawas, Giovanni Nico, Hans U. Eichelberger, Pier F. Biagi, Michael Contadakis, Werner Magnes, Helmut Lammer, Wolfgang Voller

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XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion by Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

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Classification and Recognition Method for Bearing Fault based on IFOA-SVM by Wei Zhang, Zhihua Ma

“…Finally， the experimental results show that the method can realize accurate and efficient identification of the fault features of bearing.…”
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Study on the Variation Law of Static Transmission Error for Cylindrical Gear by Chang Lehao, Liu Geng, He Zhaoxia

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Research on Water Flow Control Strategy for PEM Electrolyzer Considering the Anode Bubble Effect by Liheng An, Yizhi Tian, Haikun Zhao

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Method based on contrastive incremental learning for fine-grained malicious traffic classification by Yifeng WANG, Yuanbo GUO, Qingli CHEN, Chen FANG, Renhao LIN, Yongliang ZHOU, Jiali MA

“…In order to protect against continuously emerging unknown threats, a new method based on contrastive incremental learning for fine-grained malicious traffic classification was proposed.The proposed method was based on variational auto-encoder (VAE) and extreme value theory (EVT), and the high accuracy could be achieved in known, few-shot and unknown malicious classes and new classes were also identified without using a large number of old task samples, which met the demand of storage and time cost in incremental learning scenarios.Specifically, the contrastive learning was integrated into the encoder of VAE, and the A-Softmax was used for known and few-shot malicious traffic classification, EVT and the decoder of VAE were used for unknown malicious traffic recognition, all classes could be recognized without a lot of old samples when learning new tasks by using VAE reconstruction and knowledge distillation methods.Experimental results indicate that the proposed method is efficient in known, few-shot and unknown malicious classes, and has greatly reduced the forgetting speed of old knowledge in incremental learning scenarios.…”
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Internal Benchmarking of Thermal Power Plants оf Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, Y. Z. Farzaliyev, U. K. Ashurova

“…The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
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Methodology of expert evaluation of effectiveness of methods of organizational diagnostics by T. V. CHIBIKOVA

“…The technique of an estimation of efficiency of methods of organizational diagnostics is offered. …”
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