Maturity Classification and Quality Determination of Cherry Using VNIR Hyperspectral Images and Comprehensive Chemometrics by Yuzhen Wei, Siyi Yao, Feiyue Wu, Qiangguo Yu

“…After the chemometrics related to hyperspectral imaging had been examined, the least square-support vector regression models based on the feature bands, which were selected by the shuffled frog leaping algorithm, showed the best performance, and the determination coefficients of prediction (R2P) for cherry sugar content and acidity reached 0.976 and 0.906, respectively. …”
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Upgrading Mechanisms of Managing Social and Economic Development of Tourism on Regional Level by S. B. Boldyreva

“…At the same time management of tourism development on the regional level is characterized by special features of each function due to the fact that actually all these functions are performed by structural divisions of the public apparatus represented by executive bodies of regional authority. …”
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Scenario approach to the assessment of development prospects of the Russian regions by N. N. Mikheeva

“…Relevant calculations the author performed using macroeconomic and interregional forecasting and analytical models. …”
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Numerical Impact Assessment Based on Experiments for Steel Stiffened Panels with and Without Prior Dent by Sara A. Eltawosy, Heba S. El-Kilani, Elsayed Fathallah, S. Saad-Eldeen

“…A series of finite element analyses is performed to develop a master model that can be applied to different parameters. …”
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Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data by Wenwu Zhou, Wenwu Zhou, Qingtai Shu, Cuifen Xia, Li Xu, Qin Xiang, Lianjin Fu, Zhengdao Yang, Shuwei Wang

“…Then, the multi-source remote sensing image Sentinel-1/2 and terrain factors were combined to perform regional-scale FCC remote sensing estimation based on the geographically weighted regression (GWR) model. …”
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Interpretable Machine Learning for Legume Yield Prediction Using Satellite Remote Sensing Data by Theodoros Petropoulos, Lefteris Benos, Remigio Berruto, Gabriele Miserendino, Vasso Marinoudi, Patrizia Busato, Chrysostomos Zisis, Dionysis Bochtis

“…To enhance model transparency, SHapley Additive exPlanations (SHAP) values were applied to interpret the feature contributions of the XGBoost model. …”
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Fractonic superfluids. III. Hybridizing higher moments by Han-Xie Wang, Shuai A. Chen, Peng Ye

“…We explore the consequences of hybridization via two model series: Model Series A, conserving total moments of the same order across species, and Model Series B, conserving total moments of different orders. …”
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Accurate, automated classification of radiographic knee osteoarthritis severity using a novel method of deep learning: Plug-in modules by Do Weon Lee, Dae Seok Song, Hyuk-Soo Han, Du Hyun Ro

“…A retrospective analysis on prospectively collected data was performed. The model was trained and developed using the Osteoarthritis Initiative dataset and was subsequently tested on an independent dataset, the Multicenter Osteoarthritis Study (test set size: 17,040). …”
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Deep learning-based research on fault warning for marine dual fuel engines by Lingkai Meng, Huibing Gan, Haisheng Liu, Daoyi Lu

“…The model integrated convolutional neural networks (CNN), bidirectional long short-term memory (BiLSTM) networks, and Kolmogorov-Arnold networks (KAN) to perform feature extraction from multi-dimensional time series data, autonomously identify temporal patterns within the data, and directly learn parameterized nonlinear activation functions, respectively. …”
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Discussing the Construction of a Budget Management System Combining Multimedia Technology and Financial Risk Management by Xiaoyi Jiang

“…This paper mainly studies and innovates the data mining process and the support vector machine model and designs the data preprocessing method in the data mining process to perform feature selection and optimize the parameters of the support vector machine model. …”
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Design and Evaluation of a Voice-Controlled Elevator System to Improve the Safety and Accessibility by Ander Gonzalez Docasal, Jon Alonso, Jon Olaizola, Mikel Mendicute, Maria Patricia Franco, Arantza Del Pozo, Daniel Aguinaga, Aitor Alvarez, Eduardo Lleida

“…The study evaluated the performance of two Automatic Speech Recognition systems: Google's Speech-to-Text API and a Kaldi model adapted for this task, deployed using Vosk. …”
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Dysfunctional large-scale brain networks in drug-naïve depersonalization-derealization disorder patients by Sisi Zheng, Mingkang Song, Nan Song, Hong Zhu, Xue Li, Dongqing Yin, Shanshan Liu, Yan Zhao, Meng Fang, Yanzhe Ning, Hongxiao Jia

“…The Support Vector Machine (SVM) model was employed to classify DPRD patients and provide features for DPRD patients concerning the dysfunctional large-scale brain networks. …”
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Innovation Ecosystem of Iran's Tourism Industry with Emphasis on Supply Chain by Azizolah Jafari, mahdi alaei kerahrudi

“…The tourism industry can also improve its performance by developing the ecosystem of innovation. …”
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Towards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification by Daria Kern, Tobias Schiele, Ulrich Klauck, Winfred Ingabire

“…The results demonstrate that transfer learning is particularly effective with limited data, and training from scratch is not necessarily advantageous even when sufficient data are available. Among the evaluated models, the vision transformer paired with a linear classifier achieves the highest performance, with a mean average precision of 97.0%, a top-1 accuracy of 95.1%, and a top-5 accuracy of 100.0%. …”
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Improving 3D deep learning segmentation with biophysically motivated cell synthesis by Roman Bruch, Mario Vitacolonna, Elina Nürnberg, Simeon Sauer, Rüdiger Rudolf, Markus Reischl

“…Abstract Biomedical research increasingly relies on three-dimensional (3D) cell culture models and artificial-intelligence-based analysis can potentially facilitate a detailed and accurate feature extraction on a single-cell level. …”
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Assessing Sternal Dimensions for Sex Classification: Insights from a Greek Computed Tomography-Based Study by Konstantina Vatzia, Michail Fanariotis, Maciej Bugajski, Ioannis V. Fezoulidis, Maria Piagkou, Marianna Vlychou, George Triantafyllou, Ioannis Vezakis, George Botis, Stavroula Papadodima, George Matsopoulos, Katerina Vassiou

“…The Random Forest model achieved comparable results (91% accuracy, 88% sensitivity, 93% specificity), ranking SSA as the most influential feature. …”
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Impact of comorbidities on anti-TNFα response and relapse in patients with inflammatory bowel disease: the VERNE study by Ignacio Marin-Jimenez, Guillermo Bastida, Ana Forés, Esther Garcia-Planella, Federico Argüelles-Arias, Pilar Sarasa, Ignacio Tagarro, Alonso Fernández-Nistal, Carmen Montoto, Mariam Aguas, Javier Santos-Fernández, Marta Maia Bosca-Watts, Rocio Ferreiro, Olga Merino, Xavier Aldeguer, Xavier Cortés, Beatriz Sicilia, Francisco Mesonero, Manuel Barreiro-de Acosta

“…Key clinical features, such as type of inflammatory bowel disease and concomitant treatments, were included as fixed factors in the model.Results Multivariate logistic regression analyses (OR, 95% CI) showed that chronic obstructive pulmonary disease (2.67, 1.33 to 5.35) and hepato-pancreato-biliary diseases (1.87, 1.48 to 2.36) were significantly associated with primary non-response to anti-TNFα, as was the use of corticosteroids and the type of inflammatory bowel disease (ulcerative colitis vs Crohn’s disease). …”
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Peripheral inflammation and neurocognitive functioning in early psychosis: Specific associations of TNF-α and IL-6 with social cognition by Ana Catalán, Claudia Aymerich, José Manuel Rodríguez-Sánchez, Borja Pedruzo, Gonzalo Salazar de Pablo, Patxi Gil, Francisco Aguayo, Garazi Acasuso, Alvaro Collado-Pérez, Javier Goena, Olatz Ibarretxe, Iñaki Zorrilla, Ana González-Pinto, Leire Erkoreka, Daniel Alonso-Alconada, Paolo Fusar-Poli, Miguel Angel González-Torres

“…In adjusted regression models, IL-6 was significantly associated with undermentalization on the MASC task (β = 0.28, p = 0.0337) and showed a trend-level association with slower processing speed (β = 0.98, p = 0.075). …”
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Boundary Layer Separation from a Curved Backward-Facing Step Using Improved Delayed Detached-Eddy Simulation by Matthew R. McConnell, Jason Knight, James M. Buick

“…Overall, the IDDES model has performed well against a type of geometry that is typically a challenge to the hybrid RANS-LES method (HRLM).…”
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Harnessing the synergy of statistics and deep learning for BCI competition 4 dataset 4: a novel approach by Gauttam Jangir, Nisheeth Joshi, Gaurav Purohit

“…The cleaned dataset has dual polarity and gaussian distribution nature which makes Tanh activation function suitable for the neural network BC4D4 model. BC4D4 uses Convolutional neural network for feature extraction, dense neural network for pattern identification and incorporating dropout & regularization making the proposed model more resilient. …”
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