Analytical study on 2D groundwater flow in a sloping unconfined aquifer under spatiotemporal recharge by Ming-Chang Wu, Ping-Cheng Hsieh

“…Analytical solutions were derived using an integral transformation method, allowing for analysis of aquifer characteristics, such as anisotropy, slope, and hydraulic conductivity. …”
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Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images by Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey

“…Traditional change detection methods identify land-use and land cover variations over time, while image retrieval extracts pertinent information from large datasets. …”
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Exploration of the Validity of the Moral Competency Inventory Instrument: Analysis of Validation Methods from Various Studies by Fikri Nurcahya, Riyadi Riyadi, Achmad Ridwan

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Research on the Method of Optimizing the Stress and Improving the Performance for MEMS Gyroscope Based on the Cantilever-Plate Structure by Yunbin Kuang, Xiaoyan Huo, Weitao Guo, Xiaoxing Li, Jiangyan He, Qiong Mao, Xiaolin Ma, Jie Liu

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FocusAugMix: A data augmentation method for enhancing Acute Lymphoblastic Leukemia classification by Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati, Takashi Obi, Joong-Sun Lee

“…Integrating Multi-Head Attention and Grad-CAM improves the accuracy and effectiveness of class representation in data augmentation methods for medical diagnosis.…”
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A Bayesian Method for Simultaneous Identification of Structural Mass and Stiffness Using Static–Dynamic Measurements by Zhiyong Li, Zhifeng Wu, Hui Chen

“…This paper presents a Bayesian-based finite element model updating method that integrates static displacement measurements and dynamic modal data to simultaneously identify structural mass and stiffness parameters. …”
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Precise Geoid Determination in the Eastern Swiss Alps Using Geodetic Astronomy and GNSS/Leveling Methods by Müge Albayrak, Urs Marti, Daniel Willi, Sébastien Guillaume, Ryan A. Hardy

“…The collected gravity data were primarily used for corrections of the DoV-based geoid profiles, accounting for variations in station height and the geoid-quasigeoid separation. …”
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Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods by Shakti P. Padhy, Soumya R. Mishra, Li Ping Tan, Karl P. Davidson, Xuesong Xu, Varun Chaudhary, R.V. Ramanujan

“…This work further explains how structural variations across synthesis methods impact property behavior, validating the robustness of ML-predicted compositions and highlighting a pathway for integrating processing conditions into alloy development.…”
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A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning by Seisuke Kano

“…Recent innovations have introduced data-driven approaches that predict system behavior without the need for detailed models. By integrating advanced monitoring technologies and machine learning, these methods enable real-time predictions within controllable parameters using live data. …”
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A fine-grained human facial key feature extraction and fusion method for emotion recognition by Shiwei Li, Jisen Wang, Linbo Tian, Jianqiang Wang, Yan Huang

“…This paper proposes a method for modeling and extracting key facial features by integrating global and local facial data. …”
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A novel XbaI multiplex PCR method for rapid typing of Klebsiella pneumoniae strains by Ibrahim Ali Al-Zahrani

“…Abstract This study focused on exploiting single-nucleotide polymorphism (SNP) variations in and around XbaI-restriction sites (5′….T↓CTAGA….3′) within the genomes of Klebsiella pneumoniae to develop a multiplex PCR genotyping technique that integrates the high discrimination of pulsed-field gel electrophoresis (PFGE) with the straightforwardness of a multiplex PCR-based procedure, for routine use in clinical laboratories. …”
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Radiation Mapping: A Gaussian Multi-Kernel Weighting Method for Source Investigation in Disaster Scenarios by Songbai Zhang, Qi Liu, Jie Chen, Yujin Cao, Guoqing Wang

“…Traditional radiation mapping methods often fail to accurately capture these complex variations, making the rapid and precise localization of radiation sources a significant challenge in emergency response scenarios. …”
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A Method for Estimating the SOH of Lithium-Ion Batteries Based on Graph Perceptual Neural Network by Kang Chen, Dandan Wang, Wenwen Guo

“…The accurate estimation of battery state of health (SOH) is critical for ensuring the safety and reliability of devices. Considering the variation in health degradation across different types of lithium-ion battery materials, this paper proposes an SOH estimation method based on a graph perceptual neural network, designed to adapt to multiple battery materials. …”
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An Optimized Dynamic Benefit Evaluation Method for Pumped Storage Projects in the Context of the “Dual Carbon” Goal by Cong Feng, Qi Guo, Qian Liu, Feihong Jian

“…In this paper, the multi-stage dynamic benefit evaluation model was constructed by introducing time-of-use tariffs, periodic capacity pricing mechanism, and ancillary service revenue prediction based on machine learning and the multiple regression method. Sensitivity analysis was applied to explore the impact of key parameter variations on economic indicators. …”
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An Effective 3D Instance Map Reconstruction Method Based on RGBD Images for Indoor Scene by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

“…We integrate these point cloud segments into a global voxel map, updating each voxel’s class using color, distance constraints, and Bayesian methods to create an object-level instance map. …”
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Effects of Postharvest Storage Methods on Retention of Carotenoids in Malawian Local and Hybrid Orange Maize Varieties by Pachalo Luhanga, Mangani Katundu, Margaret Maoni

“…This study investigated the effects of two storage methods (Purdue Improved Crop Storage (PICS) bags and normal woven bags (NWBs)) in three Malawian orange maize varieties (Mthikinya, MH43A and MH44A) on retention of total carotenoid content (TCC). …”
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Level and flow systems identification of an industrial processes module by LSOD method for PID controllers design by Luis Alberto Cantera-Cantera, Mario Cesar Maya-Rodríguez, Sergio Isai Palomino-Resendiz, Yair Lozano-Hernández, Luis Luna

“…Nowadays, regulation techniques are based on Proportional-Integral-Derivative (PID) controllers and their variations. …”
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MSTD: A Multi-Scale Transformer-Based Method to Diagnose Benign and Malignant Lung Nodules by Xiaoyu Zhao, Jiao Li, Man Qi, Xuxin Chen, Wei Chen, Yongqun Li, Qi Liu, Jiajia Tang, Zhihai Han, Chunyang Zhang

“…To address these issues, we propose a multi-scale transformer-based diagnosis (MSTD) method for benign and malignant lung nodules. To handle significant variations in the shapes and sizes of the lung nodules, we first design a multi-scale module based on parallel branches to extract multi-scale features. …”
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A Novel Method for Holistic Collision Risk Assessment in the Precautionary Area Using AIS Data by Yu Zhong, Hongzhu Zhou, Manel Grifoll, Agustí Martín, Yusheng Zhou, Jiao Liu, Pengjun Zheng

“…Traditional collision risk assessment methods, such as distance to closest point of approach (DCPA) and time to closest point of approach (TCPA), often overlook environmental uncertainties and variations in human response. …”
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Determinants of implementing the 15-method in Danish general practice using the consolidated framework for implementation science by Peter Næsborg Schøler, Jens Søndergaard, Sanne Rasmussen, Kristina Hasselbalch Volke, Per Nilsen, Anette Søgaard Nielsen

“…Abstract Background Excessive alcohol consumption is a significant global health issue, often unaddressed in primary care. The 15-method, a three-step opportunistic screening and treatment tool premised on Motivational Interviewing and integrated within the Screening, Brief Intervention and Referral to Treatment framework, offers a structured approach for healthcare professionals to identify and treat alcohol-related problems. …”
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