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

“…To address this issue, this paper proposes a Generalised Zero‐Shot Learning (GZSL) method based on hyper‐spherical Variational Auto‐Encoders (VAEs). …”
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Efficiency of the Original Methods of Using Medicines and Early Enteral Nutrition in the Complex Treat­ Ment of Patients with Acute Pancreatitis by Andryushchenko V., Andryushchenko D., Kunovsky V., Mahlovany V.

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A Precise and Efficient Frequency Estimation Method for Single-Phase Grid With DC Offset by Ji Xiao, Jiaming Zhang, Shishun Tan, Youfeng Zhou

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Efficient Adaptive Robust Aerodynamic Design Optimization Considering Uncertain Inflow Variations for a Diffusion Airfoil Across All Operating Incidences by Zhengtao Guo, Lei Bao, Chaolong Li, Xianzhong Gao, Wuli Chu

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The Efficiency of Membrane Curing Method in Hydration Temperature, Compressive Strength, and Curing Cost of Concrete by Hossein Bakhshi, Ali Kooshkaki, Mohammad Hashem Dolatabadi, Zaher Rezaie, Pouyan Fakharian

“…A comparison of the costs of curing all concrete elements of a 6-story building using the watering method and membrane curing method was conducted to determine the economic efficiency of the membrane curing method. …”
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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

“…Furthermore, we find that BL modulation could be primarily characterized by variations in light-curve structure.…”
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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

“…Aiming at the problems that the mine cable partial discharge signal is easily submerged in the field white noise and periodic narrowband interference, and the adaptability of the noise reduction method is generally not strong, a partial discharge denoising method based on multivariate variational mode decomposition and improved wavelet threshold is proposed. …”
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Increasing the Efficiency of Blind Decoding of the Steganographic Method with Code Control of Additional Information Embedding by Sokolov A.V., Ihnatenko O.O., Balandina N.M.

“…The purpose of this paper is to improve the efficiency of the steganographic method with code control of the additional information embedding and blind decoding. …”
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An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process by Kaixiang Peng, Bingzheng Wang, Jie Dong

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Predicting the impact of graphene oxide and its shapes on the thermal efficiency of Polyalphaolefin-40 using a mathematical model for wind turbine gearboxes by Aamina Ahsan, Amir Zanj, Ahsan Zafar, Najam Iqbal, Adeena Fatima, Wajid Khan, Muhammad Zain Yousaf, Baseem Khan, Josep M. Guerrero

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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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Night transpiration of peanut affects interspecific water complementarity and use efficiency in maize/peanut intercropping by Tianran Sun, Zhanxiang Sun, Zhe Zhang, Yue Zhang, Yajiaoxue Guo, Jinyu Zhang, Jiayi Nie, Zhi Dong, Zeshan Zhang, Chenjia Zhang, Xu Zhang, Chen Feng, Lizhen Zhang

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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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Applications of information navigation method in wireless sensor networks by Wei WEI, Liang ZHANG, De-ke GUO, Pei-yi SHEN

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Numerical Solutions for the Nonlinear PDEs of Fractional Order by Using a New Double Integral Transform with Variational Iteration Method by Mohammed G. S. AL-Safi, Rand Muhaned Fawzi, Wurood R. Abd AL-Hussein

“…The combining of the DSET with a semi-analytical method, namely the variational iteration method DSETVIM, to arrive numerical solution of nonlinear PDEs of Fractional Order derivatives. …”
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Experimental Study of Dry-bulb and Wet-bulb Temperature Variations on Performance of Ducted Heat Pump by Pan Yamei, Huang Hu, Zhang Zhongbin, Shi Min, Zhang Wenting, Ma Haotian

“…To analyze effects of dry-bulb and wet-bulb temperatures (D&WBTs) on unit performance, experimental research on cooling capacity and EER of ducted heat pump are studied by means of air-enthalpy method when D&WBTs change in ±1.0 ℃/±0.5 ℃ of variations set in national standard GB/T 17758—2010. …”
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Evaluating conventional and renewable energy systems for green buildings: A case study on energy efficiency and cost optimization by Karim Mohamed Ragab, Mehmet Fatih Orhan

“…These findings demonstrate the significant influence of outside temperature on the building's energy requirements and costs, underscoring the importance of considering temperature variations in energy efficiency and cost optimization strategies.…”
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Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry by Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan Veerapaneni

“…Neural-network quantum states (NQS) has emerged as a powerful application of quantum-inspired deep learning for variational Monte Carlo methods, offering a competitive alternative to existing techniques for identifying ground states of quantum problems. …”
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Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle by Chenguang Lu

“…Friston proposed the Minimum Free Energy Principle (FEP) based on the Variational Bayesian (VB) method. This principle emphasizes that the brain and behavior coordinate with the environment, promoting self-organization. …”
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