Leveraging Blockchain Technology With Enhanced MDSVA for Robust Meteorological Sensor Data Validation by Md Abdullah Al Mamun, Mei Li, Bijon Kumar Pramanik, Faisal Hussain, A. Z. M. Shakilur Rahman

“…Traditional validation methods often fail to handle complex sensor behaviors, environmental variations, and real-time data verification requirements. …”
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Online Inductance Monitoring Based on Dynamic Characteristics and ESR Effect Compensation for Buck Converter Without Current Sensor by Chen Chen, Liang Wang, Wanyang Wang, Run Min, Qiaoling Tong

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Spatio-temporal variability analysis for climatic factors in urban districts with statistical trend line data estimates for sustainable development by Saloni Mangal, Renu Dhupper, Maya Kumari, Vipan Kumar Verma, Deepak Kumar

“…The variations in the spatio-temporal scale were assessed with ArcMap 10.8 to visualise significant variations and variations that occurred over time. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…The particle swarm optimization (PSO) algorithm is refined with enhanced termination criteria and integrated with the 3D Bishop method to search for the minimum factor of safety (F). …”
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An Improved Methodology to Locate Faults in Onshore Wind Farm Collector Systems by Moisés Davi, Alailton Júnior, Caio Grilo, Talita Cunha, Leonardo Lessa, Mário Oleskovicz, Denis Coury

“…This paper explores the growing integration of Inverter-Based Resources (IBRs) into power systems and their effects on fault diagnosis strategies. …”
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Improving Phrase Segmentation in Symbolic Folk Music: A Hybrid Model with Local Context and Global Structure Awareness by Xin Guan, Zhilin Dong, Hui Liu, Qiang Li

“…To address these issues, we propose a segmentation method integrating local context enhancement and global structure awareness. …”
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A computer vision approach for quantifying leaf shape of maize (Zea mays L.) and simulating its impact on light interception by Dina Otto, Sebastian Munz, Emir Memic, Jens Hartung, Simone Graeff-Hönninger

“…To determine the dimensions of fully developed leaves per rank and cultivar, three destructive measurements were conducted until flowering. The new camera method employs a GoPro Hero8 Black camera, integrated within an LI-3100C Area Meter, to capture high-resolution videos (1920 × 1080 pixels, 60 fps). …”
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Hydrological changes in the Upper Yellow River under the impact of upstream cascade reservoirs over the past 70 years by Jing Hu, Xiong Zhou, Yujun Yi, Chunhui Li, Xuan Wang, Qiang Liu, Jiansu Mao

“…Study focus: In this study, a variety of mathematical statistical methods, the Indicators of Hydrologic Alteration—Range of Variability (IHA-RVA) method, and the newly proposed Flow Surplus-Deficit (QS-QD) method were integrated to analyze the impact of cascade dam development on hydrological changes over the past 70 years in the UYRB. …”
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Cellulose as a sustainable scaffold material in cultivated meat production by Yunan Tang, Chenchen Shi, Yuyan Zhu, Ming Yang, Kuichuan Sheng, Ximing Zhang

“…Furthermore, we explore various methods for preparing cellulose-based scaffolds for cultivated meat, encompassing five specific structural variations. …”
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Robust Predictive Current Control Using Luenberger Observer Applied to an Induction Motor for Agricultural Electrical Traction by Gabriel Caramori, Igor Oliani, Angelo S. Lunardi, Alfeu J. Sguarezi Filho

“…The new method significantly reduces oscillations under substantial variations in inductance and resistance, confirming its effectiveness as a prospective solution.…”
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Generalized Nearest-Neighbor Distance and Hawkes Point Process Modeling Applied to Mining-Induced Seismicity by Mohammadamin Sedghizadeh, Robert Shcherbakov, Matthew van den Berghe

“…Operating within a rescaled hyperspace that includes spatial, temporal, and magnitude domains, the NND method provides an effective framework for examining seismic clustering. …”
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Rehabilitation and Motion Symmetry Analysis With a TACX Smart Cycling Trainer Using Computational Intelligence by Hana Charvatova, Daniel Martynek, Alexandra Molcanova, Ales Prochazka

“…The research objectives include analysis of motion patterns, evaluation of motion symmetry under varying loads, and examination of heart rate responses to load variations. Signal processing is conducted using advanced methods that include computational intelligence, digital signal processing, and artificial intelligence tools for data classification. …”
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Study on brittleness characteristics of deep shale: A case study of Lu211 well in the Luzhou block. by Bo Zeng, Guozhou Qiu, Liqing Chen, Yintong Guo, Shouyi Wang, Junchuan Gui

“…In response to these observations, the study leveraged the principle of weighted averaging to devise a composite brittleness evaluation method. This innovative approach not only integrates the effects of multiple influencing factors but also accounts for the differential impact and weight of each method on the overall brittleness assessment. …”
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Multi-Scale Twin Networks for Coastal Zone Change Detection in Remote Sensing Imagery by Peiqi Zhu, Xiaoyi Jiang, Qi He, Longfei Zhao, Yu Hong, Xue Guo, Hanrui Sun

“…The method leverages multi-scale features extracted by the ResNet backbone, which are then optimized and integrated through high-frequency attention and spatio-temporal difference modules. …”
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Quantum annealing enhanced Markov-Chain Monte Carlo by Shunta Arai, Tadashi Kadowaki

“…We benchmark QAEMCMC for the Sherrington-Kirkpatrick model and demonstrate its superior performance over the classical MCMC method. Our results reveal larger spectral gaps, faster convergence of energy observables, and reduced total variation distance between the empirical and target distributions. …”
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Robust SOH estimation for Li-ion battery packs of real-world electric buses with charging segments by Heng Li, Shilong Zhuo, Yun Zhou, Muaaz Bin Kaleem, Yu Jiang, Fu Jiang

“…However, real-world SOH estimation faces significant challenges due to inconsistencies among cells and variations in charge-discharge depths. Based on extensive operational data from electric buses, a novel SOH labeling calibration method is proposed, forming the foundation of a robust SOH estimation framework. …”
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PIPELINE INSPECTION GAUGE MAGNETIC SENSOR CALIBRATION USING TIME-HARMONIC ELECTROMAGNETIC FIELD by R.E. Vavilov, V.A. Goldberg

“…The proposed calibration method is convenient due to its focus on automation. …”

Modeling and Dynamic Parameterized Predictive Control of Dissolved Oxygen in Dual−Tank Bioreactor Systems by Muhang Li, Ran Tang, Yifei Li, Junning Cui

“…By predicting future DO variations and continuously integrating real−time monitoring data, the controller adjusts oxygen injection parameters in real time, rapidly restoring DO levels to target values while minimizing overshoot and latency introduced by system circulation. …”
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Optimalisasi Perencanaan Strategik Pembelajaran Dalam Meningkatkan Mutu Lulusan Era Digital by Suharyanto H. Soro, Enden Hayati, Dewi Tejawati, Asti Susanti

“…Researchers use a qualitative research paradigm. Data collection methods use observation, interviews and documentation studies. …”
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Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving by Ambati Pravallika, Mohammad Farukh Hashmi, Aditya Gupta

“…This work investigates the most recent 3D object detection methods for self-driving cars, emphasizing the importance of advanced deep learning models and multi-sensor fusion methods. …”
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