Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs by Shenghan Zhang, Yufeng Gu, Yinshan Gao, Xinxing Wang, Daoyong Zhang, Liming Zhou

“…Since ensemble learning models universally will cause an underfitting issue when dealing with a small-volumetric dataset, transfer learning in this circumstance will be employed as an aided technique for the core predictor to achieve a satisfactory prediction. …”
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Occurrence data for stream-dwelling macroinvertebrates from Central EuropeGBIF-Global Biodiversity Information Facility by Dorottya Hárságyi, Balázs J. Berta, Bernadett Boóz, Zsuzsanna Pap, Bálint Pernecker, Anita Szloboda, Marko Miliša, Petr Pařil, Zoltán Csabai, Arnold Móra

“…The aim of the survey was to contribute to the knowledge on the fauna of lesser-known areas and fill the gaps in the distribution maps of the species. The dataset is based on a one-year-long study surveying 60 locations from different drying river networks that represent different ecoregions in Central Europe: Balcanic (Croatia, 15 sites), Continental (Czechia, 20 sites) and Pannonian (Hungary, 25 sites). …”
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Epidemiology of clinically significant migraine in Israel: a retrospective database study by A. Shifrin, E. Domany, M. Tirosh, D. Davidovici, S. Vinker, I. Forschner, A. Israel

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Month-to-Month Variability of Autumn Sea Ice in the Barents and Kara Seas and Its Relationship to Winter Air Temperature in China by Chuhan Lu, Kaili Li, Shaoqing Xie, Zhaomin Wang, Yujing Qin

“…The variation of the autumn Arctic sea ice area and the relationship between the month-to-month sea ice and winter temperature anomalies in China are investigated using the Hadley Centre’s sea ice dataset (HadiSST) and the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis dataset (ERA-Interim) during 1979–2018. …”
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G-UNETR++: A Gradient-Enhanced Network for Accurate and Robust Liver Segmentation from Computed Tomography Images by Seungyoo Lee, Kyujin Han, Hangyeul Shin, Harin Park, Seunghyon Kim, Jeonghun Kim, Xiaopeng Yang, Jae Do Yang, Hee Chul Yu, Heecheon You

“…The proposed method was evaluated on three public datasets, the Liver Tumor Segmentation (LiTS) dataset, the 3D Image Reconstruction for Comparison of Algorithms Database (3D-IRCADb), and the Segmentation of the Liver Competition 2007 (Sliver07) dataset, and achieved 97.38%, 97.50%, and 97.32% in terms of the dice similarity coefficient for liver segmentation on the three datasets, respectively. …”
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USSD: Unsupervised Sleep Spindle Detector by Edgardo Ramirez, Pablo A. Estevez, Martin D. Adams, Claudio A. Perez, Marcelo Garrido Gonzalez, Patricio Peirano

“…Labeling SSs in large datasets is time-consuming and depends on the expert criteria. …”
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Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint by Yan Wang, Xiaoye Jin, Rui Qiu, Bo Ma, Sheng Zhang, Xuyang Song, Jinxi He

“…The model was trained and validated using the Genomics of Drug Sensitivity in Cancer (GDSC) database, followed by independent validation with the Cancer Cell Line Encyclopedia (CCLE) dataset. Clinical application was assessed using The Cancer Genome Atlas (TCGA) dataset, with Best Overall Response (BOR) serving as the clinical efficacy measure. …”
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Impact of exercise-based cardiac rehabilitation on cardiopulmonary function and prognosis in ST elevation myocardial infarction after PCI patients in extremely cold regions by Shenglong Hou, Li Liu, Jing Yao, Qi Zhao, Wei Feng, Qingqing Liu, Mou Zou, Ruoxi Zhang, Hongtao Yin, Huimin Xian

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Stability prediction of circular sliding failure soil slopes based on a genetic algorithm optimization of random forest algorithm by Shengming Hu, Yongfei Lu, Xuanchi Liu, Cheng Huang, Zhou Wang, Lei Huang, Weihang Zhang, Xiaoyang Li

“…Based on the GA-RF algorithm and incorporating 10-fold cross validation, a regression prediction model is trained on the training dataset, and then regression prediction is performed on the test dataset to verify the predictive performance of the model. …”
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Near-Infrared Spectroscopy as a Process Analytical Technology Tool for Monitoring the Steaming Process of Gastrodiae rhizoma with Multiparameters and Chemometrics by Yamin Zuo, Jing Yang, Chen Li, Xuehua Deng, Shengsheng Zhang, Qing Wu

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Classification Based on the Support Vector Machine for Determining Operational Targets for Controlling Electricity Usage With Conventional Meters: A Case Study of Industrial and Bu... by Galih Arisona, Alief Pascal Taruna, Dwi Irwanto, Arif Bijak Bestari, Wildan Juniawan

“…This approach differs from previous studies that rely on open or smart meter data, as this study uses conventional meters for data collection. In the dataset used for this research, losses from confirmed electricity theft amounted to approximately IDR 19 billion. …”
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Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm by Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, A. Johnson Santhosh

“…Experimental results show that the proposed QIFABC with ResNet50 method achieves an accuracy of 98.93%, 94.11%, and 91.79% for front, diagonal, and profile poses on the RaF dataset, respectively, and 98.47%, 93.88%, and 91.58% on the KDEF dataset.…”
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Evaluation of Four Multiple Imputation Methods for Handling Missing Binary Outcome Data in the Presence of an Interaction between a Dummy and a Continuous Variable by Sara Javadi, Abbas Bahrampour, Mohammad Mehdi Saber, Behshid Garrusi, Mohammad Reza Baneshi

“…It is investigated, using simulated and real datasets, whether recursive partitioning creates appropriate variability between imputations and unbiased parameter estimates with appropriate confidence intervals. …”
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Colorectal Cancer and Polyps in Diverticulosis Patients: A 10-Year Retrospective Study in 13680 Patients by Fadi Abu Baker, Jesus Alonso Z'cruz De La Garza, Amir Mari, Abdel-Rauf Zeina, Amani Bishara, Oren Gal, Yael Kopelman

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Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation by Soyul Han, Jaejin Seo, Sunmook Choi, Taein Kang, Sanghyeok Chung, Seungeun Lee, Seoyoung Park, Seungsang Oh, Il-Youp Kwak

“…The ADD 2022 dataset showed an improvement of approximately 51% after the application of FFM, while there was a 54% improvement in the ASVspoof 2019 LA dataset. …”
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A Large Ship Detection Method Based on Component Model in SAR Images by Tiancheng Dong, Taoyang Wang, Xuefei Li, Jianzhi Hong, Maoqiang Jing, Tong Wei

“…The algorithm also effectively avoided noticeable loss or false detection of small ship targets present in the dataset.…”
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Metode Deteksi Intrusi Menggunakan Algoritme Extreme Learning Machine dengan Correlation-based Feature Selection by Sulandri Sulandri, Achmad Basuki, Fitra Abdurrachman Bachtiar

“…Data traffic yang digunakan untuk deteksi intrusi pada penelitian ini diambil dari dataset KDD Cup. Metode yang digunakan untuk melakukan deteksi intrusi dengan cara klasifikasi yaitu dengan menggunakan metode Extreme Learning Machine (ELM). …”
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Human Action Recognition Using Difference of Gaussian and Difference of Wavelet by Gopampallikar Vinoda Reddy, Kongara Deepika, Lakshmanan Malliga, Duraivelu Hemanand, Chinnadurai Senthilkumar, Subburayalu Gopalakrishnan, Yousef Farhaoui

“…Finally, a closest neighbor method is used to classify the dataset. Weizmann and UCF 11 datasets were used to run extensive simulations of the suggested strategy, and the accuracy assessed after the simulations were run on Weizmann datasets for five-fold cross validation is shown to perform well. …”
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Deep Learning Algorithms for Detection and Classification of Gastrointestinal Diseases by Mosleh Hmoud Al-Adhaileh, Ebrahim Mohammed Senan, Waselallah Alsaade, Theyazn H. H Aldhyani, Nizar Alsharif, Ahmed Abdullah Alqarni, M. Irfan Uddin, Mohammed Y. Alzahrani, Elham D. Alzain, Mukti E. Jadhav

“…The Kvasir dataset contains 5,000 images divided equally into five types of lower gastrointestinal diseases (dyed-lifted polyps, normal cecum, normal pylorus, polyps, and ulcerative colitis). …”
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The Underlying Molecular Basis and Mechanisms of Venous Thrombosis in Patients with Osteomyelitis: A Data-Driven Analysis by Peisheng Chen, Yinhuan Liu, Xiaofeng Lin, Bin Yu, Bin Chen, Fengfei Lin

“…Methods. The OM-related dataset GSE30119 and VTE-related datasets GSE19151 and GSE48000 were downloaded from the Gene Expression Omnibus (GEO) database and analyzed to identify the differentially expressed genes (DEGs) (OMGs1 and VTEGs1, respectively). …”
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