Meta-learning approach for variational autoencoder hyperparameter tuning by Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

“…Synthetic data generation is a promising alternative to traditional data anonymization, with Variational Autoencoders (VAEs) excelling at generating high-quality synthetic tabular datasets. …”
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Numerical Study of Surrounding Rock Damage in Deep-Buried Tunnels for Building-Integrated Underground Structures by Penglin Zhang, Chong Zhang, Weitao Chen, Chunhui He, Yang Liu, Zhaofei Chu

“…Understanding the distribution characteristics of rock damage zones under these conditions is crucial for the design and safety of building-integrated underground structures. This study investigates the relationship between surrounding rock damage and in situ stress conditions through numerical simulation methods. …”
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Variational Autoencoder-Based Framework for Retail Sales Prediction by Fuyu Li, Lei Wang, Bo Jin

“…Extensive experiments conducted in collaboration with a national retail chain in China demonstrate that our method outperforms state-of-the-art baseline methods and is practical for various operational and management tasks.…”
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Online variational Gaussian process for time series data by Weidong Wang, Mian Muhammad Yasir Khalil, Leta Yobsan Bayisa

“…Our method capitalizes on the sophisticated design of the online variational inference framework, ensuring a technically robust derivation and implementation. …”
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Frequency Responses Resistance to Variations of Electric Filter Parameters by E. N. Chervinskiy

“…The inverse sum of average values of the integral function for the specific set of elements serves as integrated evaluation of response resistance to the filters parameter variations. …”
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Red-Leafed Lettuces: Genetic Variation or Epigenetic Photomorphogenesis? by Natalya V. Smirnova, Ivan A. Timofeenko, Konstantin V. Krutovsky

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Diurnal variations in corneal biomechanics in healthy young adults by DaTian Zhu, LuMeng Wang, ZhanXin Qu, Pu Wang, YongYi Yuan, Lan Yang, XinYu Yao, XiaoBo Zheng, HengLi Lian, Chong Wang, JunJie Wang, YuFeng Ye, Ahmed Elsheikh, FangJun Bao, JunHua Li

“…Abstract Purpose To assess the diurnal changes in corneal biomechanics in healthy young adults. Methods At Wenzhou Medical University Eye Hospital in China, a prospective case series. …”
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An Ultra-Short-Term Wind Power Prediction Method Based on the Fusion of Multiple Technical Indicators and the XGBoost Algorithm by Xuehui Wang, Yongsheng Wang, Yongsheng Qi, Jiajing Gao, Fan Yang, Jiaxuan Lu

“…Inspired by financial time series analysis, the model incorporates K-line representations, power fluctuation features, and classical technical indicators, including the moving average convergence divergence (MACD), Bollinger bands (BOLL), and average true range (ATR), to enhance sensitivity to short-term variations. The proposed method is validated on two real-world wind power datasets from Inner Mongolia, China, and Germany, sourced from the European network of transmission system operators for electricity (ENTSO-E). …”
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Integrated widely targeted metabolomics and flavoromics reveal processing-driven dynamic changes in functional metabolites of Eucommia ulmoides leaf tea by Yiyun Lin, Hui Ouyang, Ruobing Li, Yunzhe Shao, Xiangrong Tian, Yongkang Zhang

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Minimisation of variations in locating an acupuncture point using a laser-device by Dha-Hyun Choi, Younbyoung Chae

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Evolving trends and driving factors analysis of green development level in Chengdu plain economic zone by Li Ma, Tianzhi Huang, Hao Chen, Jiankang Mao, Jiankang Mao, Zhongqi Cheng, Yingwei Wang

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Characteristics of spatial detection capability for seismic response and data compensation method in underground mines by Changbin WANG, Anye CAO, Guangyao SI, Bing WANG, Xu YANG, Ning ZHANG, Yang YUE

“…Therefore, this study introduces the Probability-based Magnitude of Completeness (PMC) method in an underground coal mine. PMC method assesses the seismic wave picking capabilities of geophones, explores the spatial characteristics of seismic event detection probability within the seismic network, and proposes a detection probability-based seismic compensation method. …”
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Embedding delay‐based physical unclonable functions in networks‐on‐chip by Prasad Nagabhushanamgari, Vikash Sehwag, Indrajit Chakrabarti, Santanu Chattopadhyay

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An Adaptive Combined Filtering Algorithm for Non-Holonomic Constraints with Time-Varying and Thick-Tailed Measurement Noise by Zijian Wang, Jianghua Liu, Jinguang Jiang, Jiaji Wu, Qinghai Wang, Jingnan Liu

“…On the basis of this method, a Gaussian Student’s T distribution variational Bayesian filtering algorithm (Ga-St VBAKF) based on NHC pseudo-velocity measurement noise modeling is proposed through modeling and analysis of pseudo-velocity measurement noise. …”
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Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method by Arun Ramaveerapathiran, R. Muniraj, T. Jarin, S.R. Boselin Prabhu, M. Willjuice Iruthayarajan

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The Solution of the Stationary Aeroelasticity Problem for a Separation Channel with Deformable Sinusoidal Walls by Demianenko M., Volf M., Pavlenko V., Liaposhchenko O., Pavlenko I.

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Stable Approximations of a Minimal Surface Problem with Variational Inequalities by M. Zuhair Nashed, Otmar Scherzer

“…We establish convergence and stability of approximate regularized solutions which are solutions of a family of variational inequalities. We also prove convergence of an iterative method based on Uzawa's algorithm for implementation of our regularization procedure.…”
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Numerical Solutions to the Variational Problems by Dijkstra’s Path-Finding Algorithm by Thanaporn Arunthong, Laddawan Rianthakool, Khanchai Prasanai, Chakrit Na Takuathung, Sakchai Chomkokard, Wiwat Wongkokua, Noparit Jinuntuya

“…In this work, we propose the general idea of using a path-finding algorithm to solve a variational problem. By interpreting a variational problem of finding the function that minimizes a functional integral as a shortest path finding, we can apply the shortest path-finding algorithm to numerically estimate the optimal function. …”
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A frequency domain-based loop shaping procedure for the parameter estimation of the fractional-order tilt integral derivative controller by Biresh Kumar Dakua, Bibhuti Bhusan Pati

“…This paper demonstrates a frequency domain-based loop shaping method for the parameter estimation of a fractional order tilt integral derivative (FOTID) controller for the interval integer and fractional order time-delay systems. …”
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Frozen semen quality of Pasundan bulls with different individual variations by Abdullah Baharun, Pirda Parida Permadani Pertiwi, Annisa Rahmi, Natashya Chandra Rachmadanti, Ristika Handarini, Hikmayani Iskandar, Daud Samsudewa, Tulus Maulana, Syahruddin Said, Imam Darussalam, Nurcholis Nurcholis, Raden Iis Arifiantini

“…The quality of frozen semen is essential for the success of artificial insemination (AI), as individual variations in parameters such as sperm motility, viability, and membrane integrity greatly influence reproductive outcomes. …”
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