Characterizing Wake Behavior of Adaptive Aerodynamic Structures Using Reduced-Order Models by Kyan Sadeghilari, Aditya Atre, John Hall

“…The previous study used a genetic algorithm to obtain nine TAD shapes that maximized aerodynamic efficiency in Region 2. …”
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Development of Robust Behaviour Recognition for an at-Home Biomonitoring Robot with Assistance of Subject Localization and Enhanced Visual Tracking by Nevrez Imamoglu, Enrique Dorronzoro, Zhixuan Wei, Huangjun Shi, Masashi Sekine, José González, Dongyun Gu, Weidong Chen, Wenwei Yu

“…Therefore, we proposed a fast, simple, and person specific new activity recognition model by making full use of localization information, which is robust to partial occlusion. The proposed activity recognition algorithm was tested on different walking patterns with different subjects, and the results showed high recognition accuracy.…”
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Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT by Braveenan Sritharan, Chamira U. S. Edussooriya, Chamith Wijenayake, R. J. Cintra, Arjuna Madanayake

“…To further reduce the computational complexity, our algorithm exploits the partial separability of LFV representations. …”
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A resected case of acinar cell carcinoma of the pancreas with liver metastasis following chemotherapy using modified FOLFIRINOX by Shuhei Yamada, Haruka Motegi, Yoshiki Kurihara, Tomonori Shimbo, Isao Kikuchi, Toshiki Wakabayashi, Tsutomu Sato

“…It has been reported that it responds to treatment differently from pancreatic ductal adenocarcinoma and the treatment algorithm for acinar cell carcinoma usually depends on the stage of the respective tumor and the patient’s current status. …”
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Fast and Scalable Dynamic Gas Network Modeling and Simulation Framework With Gas Composition Tracking by Yifei Lu, Andrew Ivan Sulimro, Thiemo Pesch, Andrea Benigni

“…On top of that, a batch-tracking algorithm is implemented to accurately track the propagation of the gas mixture composition in the gas pipeline network. …”
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INTEGRATED ASSESSMENT AND MAPPING OF ANTHROPOGENIC IMPACT ON THE NATURAL ENVIRONMENT OF RUSSIAN REGIONS by V. S. Tikunov, S. K. Belousov

“…Based on the obtained set of indicators for the study, a two-stage evaluation algorithm developed by one of the authors was chosen [Tikunov, 1997]. …”
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Comparison of Geographical Traceability of Wild and Cultivated Macrohyporia cocos with Different Data Fusion Approaches by Li Wang, Qinqin Wang, Yuanzhong Wang, Yunmei Wang

“…Supervised pattern recognition techniques, like partial least squares discriminant analysis (PLS-DA) and random forest, were employed in this study using. …”
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Design and Practical Evaluation of Robust Model Predictive Wind Turbine Control by Andreas Klein, Thorben Wintermeyer‐Kallen, János Zierath, Kevin Kluge, Dirk Abel, Heike Vallery, Maximilian Basler

“…We evaluate the proposed control algorithm in terms of time‐domain performance and power curve in simulation. …”
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Green synthesis of self-oriented flower-like Ag@Ag2O nanostructures functionalized with L-Tryptophan for colorimetric simultaneous determination of ultra-trace level of thiamin and... by Maryam Abbasi Tarighat, Zahra Khosravani, Gholamreza Abdi

“…The study is the first to report simultaneous determination of thiamin and riboflavin using a colorimetric sensor based on Ag@Ag2O-L-Try nanocomposites using partial leas square (PLS). The dynamic range of thiamin and riboflavin was achieved in 0.1 mol L−1 acetate buffer pH 4 and the ratio Ag@Ag2O: L-try 1:1. …”
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Mathematical solutions for coupled nonlinear equations based on bioconvection in MHD Casson nanofluid flow by Khalil Ur Rehman, Nosheen Fatima, Wasfi Shatanawi, Nabeela Kousar

“…The mathematical formulation of fluid flow problems often results in coupled nonlinear partial differential equations (PDEs); hence, their solutions remain a challenging task for researchers. …”
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Modal analysis of a 20-degree-of-freedom model of a transport aircraft wing by Oleksii Starodub

“…The objectives include: developing a model that accounts for spanwise variations in bending and torsion; considering the partial-span location of the aileron; and incorporating the positions of the wing’s stiffness axis and mass center axis. …”
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Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models by Muhammad Salman Khan, Tianbo Peng, Hanzlah Akhlaq, Muhammad Adeel Khan

“…One of the most significant challenges in AI lies in selecting and fine-tuning the optimal algorithm for a given task. Automated Machine Learning (AutoML) models have emerged as a promising solution to address this challenge by systematically exploring hyperparameter spaces to identify optimal configurations efficiently. …”
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Planococcus citri in coffee trees by supervised classification using multispectral images by Kamila Fernanda Rossati, Vanessa Andaló, George Deroco Martins, Gleice Aparecida de Assis, Vinícius Silva Werneck Orlando, Letícia Pasqualin Messias Arriero, Lucas Silva de Faria, Renan Zampiroli

“…The classifications were made using Artificial Neural Networks (ANN), Support Vector Machine (SVM), and Random Forest algorithms. The results confirmed the possibility of distinguishing between healthy and P. citri infested plants using algorithms based on machine learning. …”
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Investigation of the Optical Properties of Silicon-on-Insulator Microring Resonators Using Optical Backscatter Reflectometry by I. A. Ryabcev, A. A. Ershov, D. V. Ryaikkenen, A. P. Burovikhin, R. V. Haponchyk, I. Yu. Tatsenko, A. A. Stashkevich, A. A. Nikitin, A. B. Ustinov

“…The characteristic parameters of silicon-on-insulator microring resonators were investigated using an ultra-high resolution reflectometer. An original algorithm was employed to derive the characteristic parameters of microring resonators from reflectograms. …”
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Using Calibration Transfer Strategy to Update Hyperspectral Model for Quantitating Soluble Solid Content of Blueberry Across Different Batches by Biao Chen, Xuhuang Huang, Shenwen Tan, Guangjun Qiu, Huaiyin Lin, Xuejun Yue, Junzhi Chen, Wenshan Zhong, Xuantian Li, Le Zhang

“…Based on the sample dataset of the year 2024, a high-performance quantitative model for detecting SSC values was established by combining it with partial least squares regression (PLSR) and competitive adaptive reweighted sampling (CARS). …”
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Back Propagation Neural Network model for analysis of hyperspectral images to predict apple firmness by Shuiping Li, Yueyue Chen, Xiaobo Zhang, Junbo Wang, Xuanxiang Gao, Yunhong Jiang, Zhaojun Ban, Cunkun Chen

“…The performance of seven preprocessing algorithms and two feature selection algorithms was evaluated. …”
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Chemometrics-Assisted Calibration of a Handheld LIBS Device for the Quantitative Determination of Major and Minor Elements in Artifacts from the Archaeological Park of Tindari (Ita... by Gabriele Lando, Francesco Caridi, Domenico Majolino, Giuseppe Paladini, Giuseppe Sabatino, Valentina Venuti, Paola Cardiano

“…The dataset was divided into calibration and validation sets using the Kennard–Stone algorithm. Partial Least Square (PLS) regression was employed for multivariate regression analysis, and a variable selection method (i.e., Variable Importance in Projection, VIP) was applied to reduce the number of predictors. …”
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Optimal Operation Strategy of Cascade Hydro-Wind-Solar-Pumped Storage Complementary System Considering Flexible Regulation Ability by XIA Jinlei, TANG Yijie, WANG Lingling, JIANG Chuanwen, GU Jiu

“…To overcome the limitations of traditional models such as low predictive accuracy and the subjective selection of long short-term memory (LSTM) hyperparameters, the particle swarm optimization (PSO) algorithm is used to optimize the parameters of LSTM and the optimized LSTM model is then used to forecast the output of wind and solar power. …”
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Simulating Argo float trajectories and along-track physical and biogeochemical variability in the California Current System by Xiao Liu, Xiao Liu, John P. Dunne, Elizabeth J. Drenkard, Gregory C. Johnson

“…Trajectories of >1,600 virtual Argo profiling floats and their sampled variability in key ocean physical and biogeochemical variables are simulated using a 0.125° global ocean physical-biogeochemical model (NOAA GFDL’s MOM6-SIS2-COBALTv2) and an offline Lagrangian particle tracking algorithm. Virtual floats are deployed at 92 locations within 26-50°N, 114-132°W in the California Current System (CCS) during the summers and winters of 2008-2012 with varying sampling strategies adopted (e.g., floats are set to park and drift at different depths, and to profile at different intervals). …”
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Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adeeb Noor, Sufyan Ali Memon

“…The K-Nearest Neighbors (KNN) algorithm is employed as the base model, with hyperparameter optimization performed using GridSearchCV, RandomizedSearchCV, Optuna, and Particle Swarm Optimization (PSO). …”
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