Improved Variational Mode Decomposition in Pipeline Leakage Detection at the Oil Gas Chemical Terminals Based on Distributed Optical Fiber Acoustic Sensing System by Hongxuan Xu, Jiancun Zuo, Teng Wang

“…This paper employs a distributed fiber optic sensing system to collect pipeline leakage signals and processes these signals using the traditional variational mode decomposition (VMD) algorithm. While traditional VMD methods require manual parameter setting, which can lead to suboptimal decomposition results if parameters are incorrectly chosen, our proposed method introduces an improved particle swarm optimization algorithm to automatically determine the optimal parameters. …”
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UAV-Based Multispectral Inversion of Integrated Cotton Growth by Haozheng Gu, Chen Xue, Guobin Wang, Yubin Lan, Huizheng Wang, Cancan Song

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Feature Fusion Based Audio-Visual Speaker Identification Using Hidden Markov Model under Different Lighting Variations by Md. Rabiul Islam, Md. Abdus Sobhan

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Abnormality-aware multimodal learning for WSI classification by Thao M. Dang, Qifeng Zhou, Yuzhi Guo, Hehuan Ma, Saiyang Na, Thao Bich Dang, Jean Gao, Junzhou Huang

“…Extensive experiments on normal-tumor classification and cancer subtyping demonstrate that AAMM achieves superior performance compared to state-of-the-art methods. By combining abnormal detection with multimodal feature integration, our framework offers an efficient and scalable solution for advancing computational pathology.…”
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Geographical variation in metabolite profiles and bioactivity of Thesium chinense Turcz. revealed by UPLC-Q-TOF-MS-based metabolomics by Fang Zhang, Fang Zhang, Guanglei Zhang, Guanglei Zhang, Cong Wang, Haonan Xu, Ke Che, Tingting Sun, Qisheng Yao, Youyi Xiong, Niannian Zhou, Mengyuan Chen, Hao Yu, Hao Yu, Hao Chen, Hao Chen, Hao Chen

“…In this study, we investigated the whole plants of TCT from different regions in China, aiming to explore the geographical variation of TCT.MethodsA non-targeted metabolomics approach was employed using ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). …”
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SCITUNA: single-cell data integration tool using network alignment by Aissa Houdjedj, Yacine Marouf, Mekan Myradov, Süleyman Onur Doğan, Burak Onur Erten, Oznur Tastan, Cesim Erten, Hilal Kazan

“…Results We introduce a novel method for batch effect correction named SCITUNA, a Single-Cell data Integration Tool Using Network Alignment. …”
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Risk assessment of building and infrastructure using InSAR-derived deformation gradients and pattern variations in the Beijing plain, China by Shicheng Zuo, Mingsheng Liao, Jie Dong, Ru Wang, Shaokun Guo, Feikai Lin, Nan Wang, Dongxiao Zhang

“…Previous studies analyzed deformation risks using Interferometric Synthetic Aperture Radar (InSAR) but often lacked integration of temporal pattern variations or multi-source datasets. …”
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SVEA: an accurate model for structural variation detection using multi-channel image encoding and enhanced AlexNet architecture by Taixing Qiu, Jiawei Li, Yan Guo, Limin Jiang, Jijun Tang

“…Recent advances in deep learning have shown promise for SV detection; however, current methods still encounter key challenges in effective feature extraction and accurately predicting complex variations. …”
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A quest for understanding: older migrants’ wellbeing beyond integration in Sweden by Anna Zhou, Åsa Larsson Ranada, Susanne Roos, Ingrid Hellström

“…While Finnish speakers’ minority status eased integration, Arabic and Chinese speakers navigated systemic inclusion yet social exclusion. …”
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Variations in greenhouse gas emissions of individual diets: Associations between the greenhouse gas emissions and nutrient intake in the United Kingdom. by Holly L Rippin, Janet E Cade, Lea Berrang-Ford, Tim G Benton, Neil Hancock, Darren C Greenwood

“…We also identify additional information required in dietary assessment to generate more accurate environmental impact data for individual-level diets.<h4>Methods</h4>GHG emissions of individual foods, including process stages prior to retail, were added to the UK Composition Of Foods Integrated Dataset (COFID) composition tables and linked to automated online dietary assessment for 212 adults over three 24-hour periods. …”
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Unravelling Artemisia species genetic variation via DNA barcoding, ISSR and RAPD with the development of eco-specific SCAR markers by Yasmin A. Mahgoub, Hebaalla A. Mahmoud, Nadia A. El-Sebakhy, Ingy I. Abdallah

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Assessment of supracrestal tissue attachment variation in patients with chronic periodontitis before and after treatment: A clinical-radiographic study by Abullais Shahabe Saquib, Anoop Gore, Dani Nitin, Al-qahatani Saad, Yaqoob Ashfaq, Khan Abdul Ahad, Kade Mohammed Abdul

“…Periodontal disease starts to appear when the integrity of the junctional epithelium is disturbed. …”
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Regional Differences and Dynamic Evolution of Agricultural Product Market Integration in China by Fuxing Liu, Yumeng Gu, Qin Liu

“…In this study, we employ the relative price method to measure the integration of the agricultural product market in 31 Chinese provinces from 2003 to 2022. …”
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Generative AI for Analog Integrated Circuit Design: Methodologies and Applications by Danial Noori Zadeh, Mohamed B. Elamien

“…In this systematic review, we discuss recent contributions in the last five years, highlighting methods that address data scarcity, topology exploration, process-voltage-temperature (PVT) variations, and layout parasitics. …”
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Location optimization of urban fire stations considering the variations in fire service demands: a bi-objective coverage model by Yulong Chen, Jing Yao, Shaohua Wang, Zhizhu Lai, Leying Wu, Guanpeng Dong

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A New Approach for Online Transient Instability Assessment and Prediction via Tracing the Variation Trend of Synchronous Generator Energy by Parva Soori, Alireza Sobbouhi, Mohamma Reza Aghamohammadi, Mohamma Sadegh Sepasian

“…This study introduces an innovative method for predicting the instability of synchronous machines, focusing on the rate of generator energy variations. …”
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From Envelope Spectra to Bearing Remaining Useful Life: An Intelligent Vibration-Based Prediction Model with Quantified Uncertainty by Haobin Wen, Long Zhang, Jyoti K. Sinha

“…This work leverages variational neural networks to model bearing degradation behind envelope spectra. …”
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Advanced 3D Artistic Image Generation with VAE-SDFCycleGAN by Dorcas Oladayo Esan, Pius Adewale Owolawi, Chunling Tu

“…To produce 3D artistic images from 2D image that considerably improves scalability and visual quality, this research integrates innovative variational autoencoder signed distance function, cycle generative adversarial network (VAE-SDFCycleGAN). …”
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Forecast of Aging of PEMFCs Based on CEEMD-VMD and Triple Echo State Network by Jie Sun, Shiyuan Pan, Qi Yang, Yiming Wang, Lei Qin, Wang Han, Ruixiang Wang, Lei Gong, Dongdong Zhao, Zhiguang Hua

“…To enhance the accuracy of PEMFC degradation forecasting, this research proposes an integrated approach that combines the complete ensemble empirical mode decomposition with the variational mode decomposition (CEEMD-VMD) and triple echo state network (TriESN) to predict the deterioration process precisely. …”
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Study on time-based variation of blood circulation index, pulse wave energy, and RAI of healthy adult men after different eating times by Gyeong-Cheol Kim, Ki-Young Ji, Yi-Soon Kim, Yi-Sub Kwak

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