Model of “Soft” and “Hard” Euroscepticism: Estonian Case by Sergei A. Tambi

“…The article explores the features of party Euroscepticism on the example of the Estonian case. A classification of a number of modern Estonian political parties is given on the basis of their classification as “hard” or “soft” Eurosceptics. …”
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Median facial dysplasia: A review by Agarwal P

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Emotion recognition based on convolutional gated recurrent units with attention by Zhu Ye, Yuan Jing, Qinghua Wang, Pengrui Li, Zhihong Liu, Mingjing Yan, Yongqing Zhang, Dongrui Gao

“…Most existing models extract a single temporal feature from the EEG signal while ignoring the crucial temporal dynamic information, which, to a certain extent, constrains the classification capability of the model. To address this issue, we propose an Attention-Based Depthwise Parameterized Convolutional Gated Recurrent Unit (AB-DPCGRU) model and validate it with the mixed experiment on the SEED and SEED-IV datasets. …”
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Time‐domain spectra of ultrasonic wave transmitted through granite and gypsum samples containing artificial defects by Zhuoran Tian, Chunjiang Zou, Yun Wu

“…Besides, time‐series data analysis is an opportunity and challenging issue, this dataset holds great potential for broader application in general time‐series classification analysis.…”
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Guest Editorial: Anomaly detection and open‐set recognition applications for computer vision by Hakan Cevikalp, Robi Polikar, Ömer Nezih Gerek, Songcan Chen, Chuanxing Geng

“…Open‐set recognition, also referred to as open‐set identification or open‐set classification, is a pattern recognition task that extends traditional classification by addressing the presence of unknown or novel classes during the testing phase. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

“…The experimental evaluation on image classification, semantic segmentation, and object detection shows that ClipQ outperforms other state-of-the-art clipping techniques, such as KL, ACIQ, and MSE. …”
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Deep learning with ensemble-based hybrid AI model for bipolar and unipolar depression detection using demographic and behavioral based on time-series data by Naga Raju Kanchapogu, Sachi Nandan Mohanty

“…Background Depression, including Bipolar and Unipolar types, is a widespread mental health issue. Conventional diagnostic methods rely on subjective assessments, leading to possible underreporting and bias. …”
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Zero-Shot Aspect Category Sentiment Analysis Model with Enhanced PPLM Template by FENG Lizhou, LI Mengsha, WANG Youwei, YANG Guijun

“…Furthermore, to enhance the classification performance of ACSA, the performance inversion coefficient is introduced to determine the ensemble weights of various prompt templates in the paper. …”
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Research on Microseismic Magnitude Prediction Method Based on Improved Residual Network and Transfer Learning by Huaixiu Wang, Haomiao Wang

“…To achieve more precise and effective microseismic magnitude estimation, a classification model based on transfer learning with an improved deep residual network is proposed for predicting microseismic magnitudes. …”
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Research on bearing fault feature transfer diagnosis based on balanced distribution adaptation under feature fusion by Lulu Wang, Yongqi Li, Chunyi Zhang, Ralph Gerard Sangalang

“…Traditional machine learning methods, which rely on the assumption of independent and identically distributed samples, often experience a significant decline in diagnostic accuracy under such variable conditions. To address this issue, this paper proposes a bearing fault transfer diagnosis method that combines the Balanced Distribution Adaptation (BDA) algorithm with a Back Propagation neural network (BPNN) classification algorithm. …”
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Electronic Nose Humidity Compensation System Based on Rapid Detection by Minhao Cai, Sai Xu, Xingxing Zhou, Huazhong Lu

“…In this study, we present an electronic nose (e-nose) humidity compensation system based on rapid detection to solve the issue of humidity drift’s potential negative impact on the performance of electronic noses. …”
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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

“…An ensemble classification method for modelling cardiac temporal data is presented in this research. …”
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Long-Term Vital Sign Tracking Study of Depression Patients Based on Wearable Devices by Yuebo Jin, Yadong Huang

“…Depression is a critical mental health issue that increasingly affects millions worldwide. …”
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The Effect of Various Text Representation Methods for Sentiment Analysis on Movie Review Data with Different Machine Learning Methods by Veysel Göç, Muhammet Sinan Başarslan

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Aging & Sports by Hoffmann C

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Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…Gastrointestinal bleeding (GIB) indicates an issue in the digestive system. Blood can be found in feces or vomiting; however, it is not always visible, even if it makes the stool appear darkish or muddy. …”
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Psychiatry and Sports Medicine by Gonzalez Hofmann C, Fontana R, 3, Parker T, Deutschmann M, Dewey M, Reinsberger C, Claussen MC, 5, 7, Scherr J, Jeckell AS

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Application research of sample data generation based on improved Cycle-GAN in intrusion detection by ZENG Qingpeng, GUO Hangkai

“…The issue of slow data updates, insufficient data samples for certain intrusion categories, and imbalanced distributions between normal and abnormal data sets in standard intrusion detection data sets have been addressed through both data sample augmentation and detection model optimization. …”
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Ideal yet Actual: Actresses Posing as Antique Heroines in Late-Victorian “Classical” Portraits by Anne-Florence Gillard-Estrada

“…The choice of mythological or tragic themes would categorize these works as “subject paintings” and not as portraits and yet the actuality of and likeness to the sitter blur such classifications. Building on research on 18th-century portraiture, this article studies a number of works that help address issues linked to their unstable categorisation as portrait or “subject picture”. …”
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Using Artificial Intelligence ChatGPT to Access Medical Information About Chemical Eye Injuries: Comparative Study by Layan Yousef Alharbi, Rema Rashed Alrashoud, Bader Shabib Alotaibi, Abdulaziz Meshal Al Dera, Raghad Saleh Alajlan, Reem Rashed AlHuthail, Dalal Ibrahim Alessa

“… Abstract BackgroundChemical ocular injuries are a major public health issue. They cause eye damage from harmful chemicals and can lead to severe vision loss or blindness if not treated promptly and effectively. …”
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