Forecasting Significant Wave Height Intervals Along China’s Coast Based on Hybrid Modal Decomposition and CNN-BiLSTM by Kairong Xie, Tong Zhang

“…This study proposes a deep learning method based on buoy datasets collected from four research locations in China’s offshore waters over three years (2021–2023, 3-hourly). …”
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Chemometric analysis of ethoxylated polymer products using extracted MALDI-TOF-MS peak distribution features. by Elizabeth Dickinson, Richard N Cawthorne, Peter Dodds, Graham M Atkinson, Pablo F García Thomas, Lucy Jones, Molly Crosbie, Janet Cook, Julie Wilson

“…Crucially, we weight the extracted features, so that features from a distribution with a high ratio to the main distribution are given more importance ('ratio-scaled'). We exemplify the method by characterizing the structural variation between types of compositionally diverse Polysorbate 80, PEG castor oil and Oleth-20, and compare the chemometric analysis using our extracted features with analysis of the full spectra. …”
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Keystone perforator island flap: a clinical summary of 28 melanoma cases by Felix Behan

“…**Background**: The keystone perforator island flap (KPIF) and its design variations developed as a clinical necessity for reconstructing large surgical defects. …”
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Experimental measurement and computational fluid dynamics simulation of mixing in a stirred tank: a review by A. Ochieng, M. Onyango, K. Kiriamiti

“…Studies have shown that the LDV technique can provide very detailed information on the spatio-temporal variations in a tank, but the method is costly. For this reason, CFD simulation techniques may be employed to provide such data at a lower cost. …”
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Study on the effect of humidity on coal mine dust concentration monitoring and its compensation strategy by ZHANG Anran

“…A humidity compensation experimental model was developed and integrated into a light-scattering dust concentration monitoring unit with multiple angles. …”
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GENETIC ALGORITHM-PID CONTROLLER FOR MODEL ORDER REDUCTION PANTOGRAPHCATENARY SYSTEM by Nasir A. Al-Awad, Izz K. Abboud, Muaayed F. Al-Rawi

“…Then, the usage of Genetic Algorithm with Proportional-Integral-derivative (G.A-PID) as proposed controller appeared optimum response where, the contacts force consequences to be virtually equal to its steady reference. …”
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Introducing multiple factor analysis (MFA) as a diagnostic taxonomic tool complementing principal component analysis (PCA) by L. Lee Grismer

“…If more than one data type is used in a PCA, the output may be biased by the data type with the largest amount of variation or statistical variance. Also discussed is the necessity of using a non-parametric permutation of analysis of variance (PERMANOVA)—or a similar analysis—as a robust, statistically defensible method for assessing the significance of OTU plot positions as opposed to subjective visual interpretations.…”
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Leveraging Topic Features in Prediction of Social Network Community Evolutions by Rahman Nahi Abid, Hassan Naderi

“…In this study, we developed the Identification of Community Evolution by Mapping “ICEM” method by integrating topic modeling with network structure analysis to track community evolution. …”
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Spatiotemporal Fusion of Multi-Temporal MODIS and Landsat-8/9 Imagery for Enhanced Daily 30 m NDVI Reconstruction: A Case Study of the Shiyang River Basin Cropland (2022) by Peiwen Mu, Fei Tian

“…This study introduces an NDVI reconstruction method combining Savitzky–Golay filtering with the variation-based spatiotemporal data fusion model to produce a high-resolution daily NDVI dataset for SRB cropland in 2022, with a 30 m spatial resolution. …”
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Adaptive Modulation Tracking for High-Precision Time-Delay Estimation in Multipath HF Channels by Qiwei Ji, Huabing Wu

“…Simulation results based on the Watterson channel model demonstrate that MATE achieves an average time-delay estimation error of approximately 0.01 ms with a standard deviation of approximately 0.01 ms, representing a 94.12% reduction in mean error and a 96.43% reduction in standard deviation compared to the traditional Generalized Cross-Correlation (GCC) method. Validation with actual measurement data further confirms the robustness of MATE against channel variations. …”
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APM-SLAM: Visual localization for fixed routes with tightly coupled a priori map by Linsong Xue, Qi Luo, Kai Zhang

“…The localization process integrates coarse-to-fine matching with Maximum A Posteriori (MAP) Probability estimation to refine pose accuracy. …”
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Polynomial Modeling of Noise Figure in Erbium-Doped Fiber Amplifiers by Rocco D’Ingillo, Alberto Castronovo, Stefano Straullu, Vittorio Curri

“…The model leverages Generalized Least Squares (GLS) regression to fit a multivariate polynomial function to measured EDFA noise figure data, ensuring robustness against measurement noise and dataset variations. The proposed method is benchmarked against experimental measurements from multiple EDFAs, achieving prediction errors that are within the measurement uncertainty of Optical Spectrum Analyzers (OSAs). …”
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Assessment of livelihood vulnerability to climate change among tribal communities in Chhindwara and Dhar district, Central India by Amit Kumar, T. Mohanasundari

“…The MLR analysis highlights the significant influence of key determinants, such as primary income source, extreme weather events, access to safe drinking water, and livelihood strategies, on vulnerability, emphasising the importance of addressing socioeconomic disparities and enhancing adaptive capacity. Integrating primary and secondary data enables an inclusive investigation of vulnerability determinants and geographical variations within the study area. …”
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An EMG-Based GRU Model for Estimating Foot Pressure to Support Active Ankle Orthosis Development by Praveen Nuwantha Gunaratne, Hiroki Tamura

“…EMG signals were collected from four key ankle muscles, and plantar pressures were recorded using a customized sandal-integrated force-sensitive resistor (FSR) system. The data underwent comprehensive preprocessing and segmentation using a sliding window method. …”
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Model‐Free Deep Reinforcement Learning with Multiple Line‐of‐Sight Guidance Laws for Autonomous Underwater Vehicles Full‐Attitude and Velocity Control by Chengren Yuan, Changgeng Shuai, Zhanshuo Zhang, Jianguo Ma, Yuan Fang, YuChen Sun

“…The attitude control experiments on the X‐AUV prototype validate that A‐TD3's control performance with PID method.…”
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Evaluation and downstream effects of household and industrial effluents discharge on some physicochemical parameters and surface Water Quality Index of River Mahanadi, Odisha, Indi... by Abhijeet Das

“…The R2 value of 0.78–0.99 in calibration and 0.79–0.97 in validation model, indicated by PLSR method, which indicates that the water parameters as well as indexing WQ methods explains around more than 90% of the variability. …”
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Development of a Digital Hologram Map Using Bathymetric Data by Jumamurod Farhod Ugli Aralov, Oybek Mirzaevich Narzulloev, Leehwan Hwang, Philippe Gentet, Seunghyun Lee

“…Holographic representations were generated utilizing the Digital Holographic Stereogram Printing method, which produced two holograms representing the underwater morphology of Monterey Canyon and its terrestrial features. …”
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Study on the Thermal Performance of Inner and Outer Wall Surfaces Based on FDM-ATSCM by Li Honglian, Cao Wenhui, Jiang Suwan, Sun Yinghao, Zhu Xinrong

“…Accordingly, this study proposes the FDM-ATSCM model to enhance the numerical accuracy of wall surface temperature analysis while improving computational efficiency.MethodsTraditional finite difference methods (FDM) can accurately capture heat transfer in walls by discretizing the partial differential equations of conduction. …”
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Sustainability diet index: a multi-criteria decision analysis proposal for culinary preparations—A case study by Rodrigo Contreras-Núñez, Rodrigo Contreras-Núñez, Andrea Espinoza, Andrea Espinoza, Paola Cáceres

“…IntroductionThe environmental impact of food production and distribution has driven the need to integrate sustainability into food services. While research has traditionally focused on carbon and water footprints, other key aspects, such as local product consumption, are often overlooked.MethodsTherefore, this study proposes the development of a sustainability diet index to address these gaps, using Multi-Criteria Decision Analysis. …”
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Support Vector Machines and Model Selection for Control Chart Pattern Recognition by Chih-Jen Su, I-Fei Chen, Tzong-Ru Tsai, Tzu-Hsuan Wang, Yuhlong Lio

“…To conquer these downsides, algorithms for control chart pattern recognition (CCPR) leverage machine learning models to detect non-normality or normality and ensure product quality is established, and novel approaches that integrate the support vector machine (SVM), random forest (RF), and K-nearest neighbors (KNN) methods with the model selection criterion, named SVM-, RF-, and KNN-CCPR, respectively, are proposed. …”
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