A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

“…In order to facilitate effective crime prevention and to issue timely warnings for the sake of public security, it is important to pinpoint the accurate position of particular pedestrians in crowded areas. …”
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Tourism and Sustainable Regional Development in Romania and France: an Approach from the Perspective of New Economic Geography by Gabriela Carmen Pascariu, Ramona Tiganasu

“…The issue of sustainable tourism and its potential contribution to regional development and convergence within the EU has been, in recent years, one of the primary research themes and a constant concern in European policies. …”
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Artificial intelligence, academic ethics, and global citizenship by Shely Cathrin, Rukiyati Rukiyati, Maryani Maryani

“…This research aims to identify ethical-philosophical issues arising from AI technology's presence in the academic world and identify the impact of AI's presence in the academic world on humanity's future as global citizens. …”
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Interstitial pneumonia with autoimmune features by Uma Karjigi, Balebail G Dharmanand

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Evaluating the Quality of Public Services Through Social Media by Nori Wilantika, Septian Bagus Wibisono

“…Nonetheless, the representativeness issue and the predominance of complaint tweets can affect the reliability of the results.…”
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PRESENTATION OF THE TEXT INFORMATION FOR THE ANALYSIS OF TEXT TONALITY BY ARTIFICIAL NEURAL NETWORK. THE IMPLEMENTATION OF PRIVATE DICTONARY METHOD by Nikolay Ivanovich Chervyakov, Evgenia Igorevna Lifanova

“…This material is a preparatory stage in the construction of an artiicial neural network, which addressed the issue of representation and normalization of data.…”
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CLASSIFIED DOCUMENTS IN CIVIL LAWSUITS by Enikő DAMASCHIN

“…Moreover, we deal with the issue of submitting classified documents to court, with the way in which these documents could be accessed, considering the right to a fair trial.…”
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THE USAGE OF MULTIMEDIA FOR CHILDREN AND ADOLESCENTS IN EDUCATIONAL PROCESS by Lidiia Piskozub

“…Experts and researchers in this field are increasingly addressing multimedia development issues today, especially in the context of game multimedia applied to children, in scientific publications. …”
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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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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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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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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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Aging & Sports by Hoffmann C

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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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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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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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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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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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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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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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