A Fine Agricultural Flood Segmentation Model for HJ-2E S-Band SAR Data by Mingyang Song, Lu Xu, Nanhuanuowa Zhu, Zihuan Guo, Haoxuan Duan, Jiahua Teng, Xia Lei, Lijun Zuo

“…To address these issues, this study focuses on high-precision flood mapping in agricultural areas by integrating deep learning methods with HJ-2E S-band SAR data. …”
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Migrações e Estratégias de Desenvolvimento dos Pequenos Estados Insulares em Desenvolvimento. Estudos de caso: Cabo Verde e São Tomé e Príncipe by Manuela Cardoso

“…This paper discusses the issue of emigration in Small Island Developing States (SIDS) through the analysis of two case studies, Cape Verde and São Tomé and Príncipe, with similar paths in terms of independence and formal political processes but with considerably different levels of development. …”
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Optimizing quantum convolutional neural network architectures for arbitrary data dimension by Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Ju-Young Ryu, Daniel K. Park, Daniel K. Park

“…Through numerical simulations, we benchmarked the classification performance of various QCNN architectures across multiple datasets with arbitrary input data dimensions, including MNIST, Landsat satellite, Fashion-MNIST, and Ionosphere. …”
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Impact of hemoglobin levels on acute ischemic stroke severity by Shaima Abuhulayqah, Fajar Abdulrazzak Aldulijan, Alaa Nabil Turkistani, Albatoul Fahad Almulhim, Cereen Fahad Almulhim, Shahid Bashir, Shahid Bashir, Eman Nassim Ali, Eman Nassim Ali

“…However, no significant effect was observed on stroke outcome at discharge or the TOAST classification.…”
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Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

“…Background Coronary atherosclerotic heart disease (CHD) is one of the leading causes of mortality worldwide, and research on risk assessment for CHD has been growing annually. However, the issue of data imbalance in these studies is often overlooked, despite its crucial role in enhancing the accuracy of CHD risk identification within classification algorithms. …”
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Dual-Stream Contrastive Learning for Medical Visual Representations Using Synthetic Images Generated by Latent Diffusion Model by Weitao Ye, Longfu Zhang, Xiaoben Jiang, Dawei Yang, Yu Zhu

“…Comprehensive experiments are performed on two downstream tasks: medical image classification and segmentation. For multi-classification of pneumonia, our DCL-CsTP method achieves 95.90% accuracy. …”
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Dynamic time-varying transfer function for cancer gene expression data feature selection problem by Hao-Ming Song, Yu-Cai Wang, Jie-Sheng Wang, Yu-Wei Song, Shi Li, Yu-Liang Qi, Jia-Ning Hou

“…To tackle the issue of FS in cancer gene expression data, a novel transfer function structure known as the dynamic time-varying transfer function was proposed. …”
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Effectiveness Log Evaluation of Ultra-Deep Carbonate Reservoirs Based on Multi-Scale Fracture-Cave Parameter by YIN Rong, SUI Xiuying, LAI Qiang, WANG Xiyu, WU Yiyu, YI Hongmei

“…After clarifying the controlling factors, the analytic hierarchy process (AHP) is employed to construct a reservoir quality factor integrating multi-scale fracture-cave parameters from borehole wall to near-wellbore domains, establishing a classification standard for reservoir evaluation in member 2 of the Dengying formation. …”
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Acoustic Measurements and Simulations on Yachts: An Evaluation of Airborne Sound Insulation by Michele Rocca, Francesca Di Puccio, Paola Forte, Francesco Fidecaro, Francesco Artuso, Simon Kanka, Francesco Leccese

“…The perceived acoustic comfort on board modern yachts has recently been the subject of specific attention by the most important classification societies, which have issued new guidelines and regulations for the evaluation of noise and vibrations. …”
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Deeply supervised two stage generative adversarial network for stain normalization by Zhe Du, Pujing Zhang, Xiaodong Huang, Zhigang Hu, Gege Yang, Mengyang Xi, Dechun Liu

“…To date, several methods have been proposed to mitigate this issue. However, these methods either produce images with low texture retention, perform poorly when trained with small datasets, or have low generalization capabilities. …”
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LSTM and ResNet18 for optimized ambulance routing and traffic signal control in emergency situations by Madallah Alruwaili, Ali Ali, Mohammed Almutairi, Abdulaziz Alsahyan, Mahmood Mohamed

“…Performance evaluation demonstrates the effectiveness of the proposed system, achieving 98.3% accuracy in audio classification, 98.1% accuracy in visual classification, and 99% accuracy with the fused model. …”
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Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data by Ruchika Bhuria, Sheifali Gupta, Upinder Kaur, Salil Bharany, Ateeq Ur Rehman, Seada Hussen, Ghanshyam G. Tejani, Pradeep Jangir

“…Abstract Customer turnover is a crucial issue in banking since maintained profitability depends on keeping clients. …”
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Research on multi-label recognition of tongue features in stroke patients based on deep learning by Honghua Liu, Peiqin Zhang, Yini Huang, Shanshan Zuo, Lu Li, Chang She, Mailan Liu

“…This model extracts features from the tongue images of stroke patients, learns the correlations among the features, and performs classification to automatically identify key characteristics such as tongue shape, color, and coating. …”
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A Novel Mixed-Precision Quantization Approach for CNNs by Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao

“…An effective approach to address this issue is model quantization, which achieves network compression and inference speedup by reducing the parameters bit-width during inference. …”
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Large Language Models’ Accuracy in Emulating Human Experts’ Evaluation of Public Sentiments about Heated Tobacco Products on Social Media: Evaluation Study by Kwanho Kim, Soojong Kim

“…The models’ classification decisions were then compared with those of human evaluators. …”
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Dermatofibroma: Reappraisal and Updated Review by Wan L, Park A, Almatroud L, Khachemoune A

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Anodapter: A Unified Framework for Generating Aligned Anomaly Images and Masks Using Diffusion Models by Minkyoung Shin, Seonggyun Jeong, Yong Seok Heo

“…In industrial manufacturing, anomaly inspection performance is frequently hampered by the scarcity of anomaly data. To address this issue, synthetic anomaly masks and corresponding images are generated using various methods. …”
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Enhancing air quality index forecast with string reduction, entropy weight and similarity measure using K-means clustering for fuzzy inference system by Kulandhainadar Mariavalavan Ordenshiya, Govindasamy Krishnamoorthy Revathi

“…A significant challenge in FIS models is the exponential increase in the number of rules with a higher number of inputs, leading to increased computational complexity. To address this issue, this study introduced the string reduction with entropy weight and similarity measure using K-means clustering (SR-EW-SM-KMC) approach. …”
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Dynamic niche technology based hybrid breeding optimization algorithm for multimodal feature selection by Ting Cai, Fan Ma, Zhiwei Ye, Wen Zhou, Mingwei Wang, Qiyi He, Hu Pan, Jun Shen

“…DSHBO achieves the best average classification accuracy (ACA) on 7 datasets and the best highest classification accuracy (HCA) on 10 datasets, significantly surpassing the comparison algorithms. …”
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Automatic Detect Incorrect Lifting Posture with the Pose Estimation Model by Gee-Sern Jison Hsu, Jie Syuan Wu, Yin-Kai Dean Huang, Chun-Chieh Chiu, Jiunn-Horng Kang

“…<b>Background:</b> Occupational low back pain (LBP) is a pervasive health issue that significantly impacts productivity and contributes to work-related musculoskeletal disorders (WMSDs). …”
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