Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security by Harshala Shingne, Diptee Chikmurge, Priya Parkhi, Poorva Agrawal

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The Parabolic Variational Inequalities for Variably Saturated Water Flow in Heterogeneous Fracture Networks by Zuyang Ye, Qinghui Jiang, Chi Yao, Yanzhang Liu, Aiping Cheng, Shibing Huang, Yaning Liu

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Improved yield and accuracy for DNA extraction in microbiome studies with variation in microbial biomass by Amy Davis, Christina Kohler, Ramzi Alsallaq, Randall Hayden, Gabriela Maron, Elisa Margolis

“…Our results indicate greater variation in microbiome composition between high and low biomass samples than variation between methods. …”
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OPTIMAL CONTROL ON CHOLERA DISEASE SPREADING MODEL WITH THREE VARIABLES CONTROL VARIATION by Irma Fitria, Talitha B Atlanta, Nadia Azahra, Choiriyah Agustina, Subchan Subchan, S Cahyaningtias

“…This disease is a deadly disease that necessitates efficient prevention and control measures. In this research, the optimal control of the cholera spread model with variations of three control variables is discussed. …”
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Deep Learning‐Based Variational Autoencoder for Classification of Quantum and Classical States of Light by Mahesh Bhupati, Abhishek Mall, Anshuman Kumar, Pankaj K. Jha

“…The proposed VAE method is robust and maintains classification accuracy in the presence of losses inherent in an experiment, such as finite collection efficiency, non‐unity quantum efficiency, finite number of detectors, etc. …”
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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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Assessing Spatiotemporal LST Variations in Urban Landscapes Using Diurnal UAV Thermography by Nizar Polat, Abdulkadir Memduhoğlu

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An insight into seasonal variations in food waste characteristics and associated carbon footprint management by Nithin Raja Cherukuri, Purushothaman Parthasarathy

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Variational autoencoder-based model improves polygenic prediction in blood cell traits by Xiaoqi Li, Elena Kharitonova, Minxing Pang, Jia Wen, Laura Y. Zhou, Laura Raffield, Haibo Zhou, Huaxiu Yao, Can Chen, Yun Li, Quan Sun

“…In this study, we seek to improve the predictive power of PRS through applying advanced deep learning techniques. We show that the variational autoencoder-based model for PRS construction (VAE-PRS) outperforms currently state-of-the-art methods for biobank-level data in 14 out of 16 blood cell traits, while being computationally efficient. …”
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Fault Diagnosis of Intershaft Bearing Using Variational Mode Decomposition with TAGA Optimization by Jing Tian, Shu-Guang Wang, Jie Zhou, Yan-Ting Ai, Yu-Wei Zhang, Cheng-Wei Fei

“…To efficiently extract the features of aeroengine intershaft bearing faults with weak signal, the variational mode decomposition (VMD) method based on the tolerant adaptive genetic algorithm (TAGA) (TAGA-VMD) is proposed by introducing the idea of tolerance into the traditional adaptive genetic algorithm in this paper. …”
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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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Mutagenic treatment induces high transposon variation in barley (Hordeum vulgare L.) by Kornelia POLOK, Roman ZIELINSKI

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Removing Scattered Light in Biomedical Images via Total Variation Guided Filter by Yuanhao Gong

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Variational Bayesian Variable Selection in Logistic Regression Based on Spike-and-Slab Lasso by Juanjuan Zhang, Weixian Wang, Mingming Yang, Maozai Tian

“…From the perspective of algorithm running time, the method proposed in this article also has high computational efficiency in many cases.…”
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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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Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping by Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono

“…This article proposes a novel regularization method, named <italic>spatio-spectral structure tensor total variation</italic> (<inline-formula><tex-math notation="LaTeX">${\text{S}_{3} \text{TTV}}$</tex-math></inline-formula>), for denoising and destriping hyperspectral (HS) images. …”
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Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models by Weixian Wang, Maozai Tian

“…The Gibbs sampling algorithm is a commonly used Bayesian method, and it can also be combined with the EM algorithm, denoted as GBEM. …”
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Extraction, Dynamics, and Driving Factors of Shallow Water Area in Hongze Lake Based on Landsat Imagery by Nianao Liu, Jinhui Huang, Dandan Xu, Ni Na, Zhaoqing Luan

“…The results show that (1) the method of this study is efficient in extracting the natural shallow water area with limited effects from aquatic vegetation; (2) water inflow (upstream water supply and precipitation) and the area of aquatic farms, the two dominant factors for the temporal changes in natural shallow water area, contributed 38.3% (positively) and 42.2% (negatively) to the decrease in the natural shallow water area during 2013–2022 in Hongze Lake; (3) the natural shallow water area of Hongze Lake decreased significantly every April as paddy rice farms withdrew a large amount of irrigation water from Hongze Lake. …”
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Significant association of estrogen receptor binding site variation with bipolar disorder in females. by Lisette Graae, Robert Karlsson, Silvia Paddock

“…A nucleotide change in the binding sequence might alter the binding efficiency, which could affect transcription levels of nearby genes. …”
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Temporal variations in Aphid- Parasitoid interactions on fruits crops in semi-arid region by Fatima Gagui, Malik Laamari, Souad Tahar-Chaouche, Abdelmoneim Tarek Ouamane

“…The management of the biological control against aphids by parasitoids requires a deep knowledge of the specific diversity of the target insect in the target area, and understanding the interactions between pests and parasitoids within temporal variations. From April 2022 to Ocober 2023, using a checking method, aphids and their parasitoids on fruits orchard multi-speciecs of apple, pear, peach and apricot trees were collected on Ain Zitoun, Oum El Bouaghi, North Algeria. …”
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