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

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Short-Term Power Prediction Method for Photovoltaic Power Plants Based on ECA-MTGNN Integration by HUANG Congzhi, LIU Yantong

“…To address the issue of low accuracy in short-term power prediction for photovoltaic (PV) power plants, this paper proposes a power prediction method that integrates an Efficient Channel Attention Mechanism and a Multivariate Time Series Graph Neural Network (ECA-MTGNN). …”
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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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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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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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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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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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Variation analysis and comparison of leaf and fruit traits of triploid hybrid progeny in jujube by Jiayuan Xuan, Quanhui Ma, Lixin Ge, Fenfen Yan, Fenfen Yan, Jun Yu, Jiurui Wang, Cuiyun Wu, Cuiyun Wu, Mengjun Liu

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Enhancing Matrix Completion Using a Modified Second-Order Total Variation by Wendong Wang, Jianjun Wang

“…In particular, the proposed method becomes very competitive with the introduction of a modified second-order total variation, even when it is compared with some recently emerged matrix completion methods that also combine the low rank and smoothness priors of matrices together. …”
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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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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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Mutagenic treatment induces high transposon variation in barley (Hordeum vulgare L.) by Kornelia POLOK, Roman ZIELINSKI

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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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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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The Distribution of Sport Performance Gene Variations Through COVID-19 Disease Severity by Guven Yenmis, Ilayda Kallenci, Mehmet Dokur, Suna Koc, Sila Basak Yalinkilic, Evren Atak, Mahmut Demirbilek, Hulya Arkan

“…Inter-individual differences due to these genetic variations will broaden the horizon of knowledge on the pathophysiology of the disease.…”
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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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Assessing Spatiotemporal LST Variations in Urban Landscapes Using Diurnal UAV Thermography by Nizar Polat, Abdulkadir Memduhoğlu

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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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Internal control system of accounts receivable: directions of perfection by Payanok T.M.

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