Image preference estimation with a data-driven approach: A comparative study between gaze and image features by Yusuke Sugano, Yasunori Ozaki, Hiroshi Kasai, Keisuke Ogaki, Yoichi Sato

“…A dataset of eye movements is collected while the participants are viewing pairs of natural images, and it is used to train image preference label classifiers. The input feature is defined as a combination of various fixation and saccade event statistics, and the use of the random forest algorithm allows us to quantitatively assess how each of the statistics contributes to the classification task. …”
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RTL-Net: real-time lightweight Urban traffic object detection algorithm by Zhiqing Cui, Jiahao Yuan, Haibin Xu, Yamei Wei, Zhenglong Ding

“…Additionally, this paper introduces the Dilatation-wise Residual (DWR) module to facilitate the algorithm’s extraction of detailed features. In addition, we optimize the Bidirectional Feature Pyramid Network (Bi-FPN), enabling the fusion of multiple features to improve overall feature integration and performance. …”
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A Deep Learning Approach to Unveil Types of Mental Illness by Analyzing Social Media Posts by Rajashree Dash, Spandan Udgata, Rupesh K. Mohapatra, Vishanka Dash, Ashrita Das

“…The performance of the proposed model is also compared with three other ML models, which includes using the full feature space and the reduced one. The optimal resulting model is selected by training and testing all of the models on the publicly available Reddit Mental Health Dataset. …”
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Modified Gray-Level Haralick Texture Features for Early Detection of Diabetes Mellitus and High Cholesterol with Iris Image by Rinci Kembang Hapsari, Miswanto Miswanto, Riries Rulaningtyas, Herry Suprajitno, Gan Hong Seng

“…The feature extraction process does early detection based on iris images. …”
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The Role of Kano Model in Revealing the Most Significant Physicochemical Properties of Wines by Amalia Luque, Mirko Mazzoleni, Ana de Las Heras, Antonio Ferramosca, Fabio Previdi, Alejandro Carrasco

“…In this article a methodology, based on the Kano model, to prioritize the features of a product or service is proposed. …”
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Oral contrast-enhanced ultrasonographic features and radiomics analysis to predict NIH risk stratification for gastrointestinal stromal tumors by Fan Yang, Fan Yang, Fan Yang, Fan Yang, Chun-wei Liu, Dai Zhang, Dai Zhang, Dai Zhang, Dai Zhang, Hai-Ling Wang, Hai-Ling Wang, Hai-Ling Wang, Hai-Ling Wang, Xi Wei, Xi Wei, Xi Wei, Xi Wei, Mo Yang, Mo Yang, Mo Yang

“…The patient dataset was randomly divided into a training set and a validation set at a ratio of 7:3. …”
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SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…To avoid the problem of “curse of dimensionality”, the most discriminant feature information is selected based on proposed minimum redundancy maximum relevance (MRMR) algorithm. …”
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Elements of implementation of a competence approach in preparing future special needs teachers by Meriem Ikrem Bekirova

“…The purpose, content and essence of the competency-based approach are highlighted, its features are indicated. …”
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Comprehensive Performance Comparison of Signal Processing Features in Machine Learning Classification of Alcohol Intoxication on Small Gait Datasets by Muxi Qi, Samuel Chibuoyim Uche, Emmanuel Agu

“…These statistically significant features were utilized to train supervised classifiers and assess their impact on alcohol intoxication detection accuracy. …”
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The relative importance of model type and input features for water supply forecasting in snow-dominated basins of the southwestern US by Madeline R. Pernat, Joseph Kasprzyk, Edith Zagona, Sydney D. Walker, Ben Livneh

“…A new wrapper-based feature selection method identifies the Best Feature Set—selected from a broad pool of station-based, meteorological, and climatological features—for each basin–model type combination. …”
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Classifying Serrated Tussock Cover from Aerial Imagery Using RGB Bands, RGB Indices, and Texture Features by Daniel Pham, Deepak Gautam, Kathryn Sheffield

“…Three random forest classifiers were trained by utilising spectral features (RGB bands and indices), texture features derived from the Grey-Level Co-occurrence Matrix, and a combination of all the features. …”
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Influence of Ocean Current Features on the Performance of Machine Learning and Dynamic Tracking Methods in Predicting Marine Drifter Trajectories by Huan Lin, Weiye Yu, Zhan Lian

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Enhanced staging of renal cell carcinoma using tumor morphology features: model development and multi-source validation by Enyu Yuan, Yuntian Chen, Lei Ye, Ben He, ChunLei He, Junchao Ma, Ting Yang, Hao Zeng, Ling Yang, Jin Yao, Bin Song

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Landslide mapping with deep learning: the role of pre-/post-event SAR features and multi-sensor data fusion by Aiym Orynbaikyzy, Frauke Albrecht, Wei Yao, Mahdi Motagh, Wandi Wang, Sandro Martinis, Simon Plank

“…Increasing the number of pre-/post-event SAR features improves the SAR-based accuracies. To promote further advancements in automated landslide mapping using deep learning, the landslide reference dataset generated in this study is freely available at (https://doi.org/10.5281/zenodo.15284357).…”
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Exploring the nonlinear impact of visual environment on residents’ happiness: a computational framework integrating semantic and geometric features by Dongyang Wang, Yandong Wang, Mingxuan Dou, Mengling Qiao, Xiaokang Fu, Yan Zhang

“…Both semantic and geometric features of VE are systematically measured by combining street view images and building footprints through semantic segmentation and isovist analysis. …”
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基于脑影像及临床特征的机器学习模型预测缺血性卒中后心房颤动 A Machine Learning Model Based on Brain Imaging and Clinical Features for Predicting Atrial Fibrillation Detected after Stroke... by 张栗源1，刘涛2，姜勇1，李子孝1，3，王拥军1，3，杨晓萌1，3(ZHANG Liyuan1, LIU Tao2, JIANG Yong1, LI Zixiao1,3, WANG Yongjun1,3, YANG Xiaomeng1,3 )

“…Abstract: Objective To investigate the predictive value of a machine learning model based on brain imaging and clinical features in patients with atrial fibrillation detected after stroke. …”
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A Novel Detection Scheme for Motor Bearing Structure Defects in a High-Speed Train Using Stator Current by Qi Sun, Juan Zhu, Chunjun Chen

“…Railway traction motor bearings (RTMB) are critical components in high-speed trains (HST) that are particularly susceptible to failure due to the high stress and rotational frequency they experience. …”
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CSTAN: A Deepfake Detection Network with CST Attention for Superior Generalization by Rui Yang, Kang You, Cheng Pang, Xiaonan Luo, Rushi Lan

“…With the advancement of deepfake forgery technology, highly realistic fake faces have posed serious security risks to sensor-based facial recognition systems. Recent deepfake detection models mainly use binary classification models based on deep learning. …”
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Modified Whale Optimization Algorithm for Multiclass Skin Cancer Classification by Abdul Majid, Masad A. Alrasheedi, Abdulmajeed Atiah Alharbi, Jeza Allohibi, Seung-Won Lee

“…To address these challenges, this paper proposes an innovative deep learning-based framework that integrates an ensemble of two pre-trained convolutional neural networks (CNNs), SqueezeNet and InceptionResNet-V2, combined with an improved Whale Optimization Algorithm (WOA) for feature selection. …”
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«OLD WOMAN IN VERY MODERN INTERNATIONAL DRESS» (GERMAN DUAL SYSTEM OF VET IN GERMANY AND IN THE WORLD) by Dr. Kress Hannelore, Ekaterina Y. Esenina

“…The purpose of authors – the colleagues cooperating within the Russian-German working group on vocational education – is to determine features of the German dual system of vocational education and training (VET) which make it effective and popular not only in Germany, but also in the world.Methods. …”
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