Diffuse attenuation coefficient and bathymetry retrieval in shallow water environments by integrating satellite laser altimetry with optical remote sensing by Changda Liu, Huan Xie, Qi Xu, Jie Li, Yuan Sun, Min Ji, Xiaohua Tong

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Deep learning method for cucumber disease detection in complex environments for new agricultural productivity by Jun Liu, Xuewei Wang, Qian Chen, Peng Yan, Xin Liu

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Enhanced wombat optimization algorithm for multi-objective optimal power flow in renewable energy and electric vehicle integrated systems by Karthik Nagarajan, Arul Rajagopalan, Mohit Bajaj, Valliappan Raju, Vojtech Blazek

“…In order to enhance the method's diversity, a Levy flight mechanism was integrated into the algorithm. …”
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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Given the instability and high volatility of wind power generation, this study proposes a short-term wind power prediction method based on BWO‒VMD and TCN‒BiGRU to improve the accuracy of wind power prediction and better support the energy transition under the “dual carbon” strategy.MethodsA short-term wind power generation prediction model based on the beluga whale optimization (BWO) algorithm, variational mode de-composition (VMD), temporal convolutional network (TCN), and bidirectional gated recurrent unit (BiGRU) was carefully proposed to improve the prediction accuracy of wind power generation, particularly considering its inherent instability and high volatility. …”
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IoT Integrated Graphene Derivative-Based Capacitive Sensors with Machine Learning Classification for Precision Soil Moisture Monitoring Process by Ukani Neema Amish, Khera Shelej, Chakole Saurabh S.

“…Afterward, the k-means clustering method, supported by the elbow method, enabled our correct classification into dry, moderate, and wet moisture levels with silhouette scores of 0.88 (GO) and 0.91 (rGO) Sets. …”
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Insights and Recommendations for the Assessment and Design of Fault Diagnosis Methods Applied to Modern Distribution Systems by Talita M. O. A. Cunha, Gabriela N. Lopes, Leonardo S. Lessa, Moises J. B. B. Davi, Mario Oleskovicz, Jose C. M. Vieira

“…The growing integration of Distributed Generation (DG) and the complexity of modern distribution networks present new challenges in fault diagnosis. …”
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Statistical learning-driven parameter tuning in injection molding using modified simplex method by Pongchanun Luangpaiboon, Walailak Atthirawong, Anucha Hirunwat, Pasura Aungkulanon

“…Nonlinear interactions and quality inconsistencies are frequently encountered by existing methods. The Statistical Learning-Driven Modified Simplex Method (SLMSM) is a novel hybrid optimization framework that is introduced to resolve this gap. …”
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A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention by Huifeng Wang, Jianchuan Yin, Jianchuan Yin, Nini Wang, Lijun Wang, Lijun Wang

“…As such, the study proposes a combined prediction model. This model integrates data decomposition, dimensionality reduction, deep learning, and optimization techniques.MethodsThe model uses the variational mode decomposition (VMD) method to break down the ship’s roll motion data into components at different scales. …”
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Impedance-Based Inter-Turn Fault Diagnosis in Integrated Induction Motor and Drive Systems Using Space Voltage Vectors by Jungho Ahn, Ju Lee, Hyunwoo Kim

“…In this paper, a winding inter-turn fault (ITF) diagnosis algorithm for electrical machines in integrated motor and drive (IMD) systems is proposed based on impedance analysis using space voltage vectors. …”
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Integrating AHP-Entropy and IPA Models for Strategic Rural Revitalization: A Case Study of Traditional Villages in Northeast China by Chenghao Wang, Guangping Zhang, Yunying Zhai

“…The AHP-entropy weighting method is applied to ensure objectivity in scoring, while kernel density analysis and coefficient of variation techniques identify spatial patterns and internal disparities. …”
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Research Progress Analysis Regarding Rainfall-Runoff Relationships Based on Bibliometrics and Visual Methods by Yi Qi, Wang Ruifang, Dou Xiaodong, Gao Yuting, Wang Changhao, Yang Lu

“…[Results] ① The study of rainfall-runoff relationships has always focused on the relationship between rainfall, infiltration, surface runoff, and erosion, as well as on the simulation of slope runoff. Research methods have included rainfall simulation, mathematical statistical methods, tracer techniques, etc. …”
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Effects of a Balanced Translocation between Chromosomes 1 and 11 Disrupting the DISC1 Locus on White Matter Integrity. by Heather C Whalley, Rali Dimitrova, Emma Sprooten, Maria R Dauvermann, Liana Romaniuk, Barbara Duff, Andrew R Watson, Bill Moorhead, Mark Bastin, Scott I Semple, Stephen Giles, Jeremy Hall, Pippa Thomson, Neil Roberts, Zoe A Hughes, Nick J Brandon, John Dunlop, Brandon Whitcher, Douglas H R Blackwood, Andrew M McIntosh, Stephen M Lawrie

“…DISC1 (Disrupted in Schizophrenia 1) is a gene containing one such risk variant, identified in a single Scottish family through its disruption by a balanced translocation of chromosomes 1 and 11; t(1;11) (q42.1;q14.3).<h4>Method</h4>Within the original pedigree, we examined the effects of the t(1;11) translocation on white matter integrity, measured by fractional anisotropy (FA). …”
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Integrative analysis of mitochondrial-related gene profiling identifies prognostic clusters and drug resistance mechanisms in low-grade glioma by Xiaozan Chang, Yingxuan Huang, Ying Qu, Yu Guo, Wenwen Fan, Haining Zhen

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Identification of immune-related hub genes and potential molecular mechanisms involved in COVID-19 via integrated bioinformatics analysis by Rui Zhu, Yaping Zhao, Hui Yin, Linfeng Shu, Yuhang Ma, Yingli Tao

“…This study employed computational tools to analyze biological data (bioinformatics) and a method for inferring causal relationships based on genetic variations, known as Mendelian randomization (MR), to explore the roles of IRGs in COVID-19. …”
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Comprehensive analysis of cholesterol metabolism-related genes in prostate cancer: integrated analysis of single-cell and bulk RNA sequencing by Zixiong Jiang, Yu Luo, Liangdong Song, Jindong Zhang, Chengcheng Wei, Shuai Su, Delin Wang

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Integration of Graph Neural Networks and multi-omics analysis identify the predictive factor and key gene for immunotherapy response and prognosis of bladder cancer by Shuai Ren, Yongjian Lu, Guangping Zhang, Ke Xie, Danni Chen, Xiangna Cai, Maodong Ye

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A novel technique using integral transforms and residual functions for nonlinear partial fractional differential equations involving Caputo derivatives. by Zareen A Khan, Muhammad Bilal Riaz, Muhammad Imran Liaqat, Ali Akgül

“…We utilize the limit principle at zero to identify the coefficients of the series solution terms, while other methods, including variational iteration, homotopy perturbation, and Adomian, depend on integration. …”
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An integrative approach to alpha taxonomy in Erica L. (Ericaceae) with three new species from the Western Cape, South Africa by Rendert D. Hoekstra, Seth D. Musker, Michael D. Pirie, Jan H. J. Vlok

“…By combining traditional taxonomic methods, standard DNA sequencing methods building on openly available data matrices, and an openly available specialised taxonomic tool for the genus, we present an integrative, reproducible approach to alpha taxonomy in Erica. …”
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Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques. by Yang Wu, Ming Chen, Yufang Qin

“…First, we use statistical methods to compute the differences in gene expression, gene mutation, and gene copy number variations between within and outside biological pathways, and utilized these pathway difference values as cell line features, combined with the drugs' SMILES chemical structure information as inputs to the model. …”
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Testing conditions for CoMo HDS catalyst in the kinetic region: integrated approach using the math calculations and catalytic experiments by Polina P. Mukhacheva, Yuliya V. Vatutina, Ivan A. Mik, Ksenia A. Nadeina, Maxim O. Kazakov, Oleg P. Klenov, Oleg V. Klimov, Aleksandr S. Noskov

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