Evolutionary Prediction of Nonstationary Event Popularity Dynamics of Weibo Social Network Using Time-Series Characteristics by Xiaoliang Chen, Xiang Lan, Jihong Wan, Peng Lu, Ming Yang

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XPolypNet: A U-Net-Based Model for Semantic Segmentation of Gastrointestinal Polyps With Explainable AI by Arjun Kumar Bose Arnob, Muhammad Mostafa Monowar, Md. Abdul Hamid, M. F. Mridha

“…This study provides a step toward automated polyp detection and demonstrates the potential of explainable artificial intelligence (XAI) to change the accuracy of diagnosis and healthcare for patients.…”
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Advancing Colorectal Cancer Diagnostics from Barium Enema to AI-Assisted Colonoscopy by Dumitru-Dragos Chitca, Valentin Popescu, Anca Dumitrescu, Cristian Botezatu, Bogdan Mastalier

“…<b>Results</b>: AI-assisted colonoscopy has demonstrated superior adenoma detection rates (ADR), reduced interobserver variability, and enhanced real-time lesion classification, offering a cost-effective alternative to liquid biopsy, particularly in high-volume healthcare institutions. …”
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YOLO-Based Image Segmentation for the Diagnostic of Spondylolisthesis From Lumbar Spine X-Ray Images by Arnik Vephasayanant, Anuchit Jitpattanakul, Paisarn Muneesawang, Konlakorn Wongpatikaseree, Narit Hnoohom

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Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction by Shahariar Hossain Mahir, Md Tanjum An Tashrif, Md Ahsan Karim, Dipanjali Kundu, Anichur Rahman, Md. Amir Hamza, Fahmid Al Farid, Abu Saleh Musa Miah, Sarina Mansor

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Secrecy Outage Analysis of Mixed RF-FSO Systems With Channel Imperfection by Hongjiang Lei, Haolun Luo, Ki-Hong Park, Zhi Ren, Gaofeng Pan, Mohamed-Slim Alouini

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Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared Spectroscopy by Chenlong Fan, Ying Liu, Tao Cui, Mengmeng Qiao, Yang Yu, Weijun Xie, Yuping Huang

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A Short-Term Risk Prediction Method Based on In-Vehicle Perception Data by Xinpeng Yao, Nengchao Lyu, Mengfei Liu

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BTCP: Binary Temporal Convolutional Network-Based Data Prefetcher for Low Inference Latency and Storage Overhead by Chang Ho Ryu, Tae Hee Han

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Seeing the Unseen: Real-Time Micro-Expression Recognition with Action Units and GPT-Based Reasoning by Gabriela Laura Sălăgean, Monica Leba, Andreea Cristina Ionica

“…Micro-expressions are brief and subtle indicators of genuine emotions, posing significant challenges for automatic recognition due to their low intensity, short duration, and inter-subject variability. To address these challenges, the proposed system integrates advanced computer vision techniques, rule-based classification grounded in the Facial Action Coding System, and artificial intelligence components. …”
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Fuzzy control algorithm of cleaning parameters of street sweeper based on road garbage volume grading by Haiying Wang, Chenguang Wang, Yang Ao, Xiaofeng Zhang

“…It starts by utilizing the YOLO (You Only Look Once) v5 deep learning model for target detection and garbage classification on road surfaces. …”
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Power quality validation in micro off-grid daily load using modular differential, LSTM deep, and probability statistics models processing NWP-data by Ladislav Zjavka

“…Prediction models were formed after an initial detection of adequate daily training intervals. The AI models are finally tested to process the complete 24-hour forecast series of related input variables used in learning, to estimate the PQ target output at the corresponding times.…”
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Bayesian Neural Networks With Robust Feature Interpretation for Enhanced Compressive Strength Prediction of Ultra‐High‐Performance Concrete by Tao Zhang, Ji Hao, Jie Zhang, Lina Du, Yunhao Zhang, Wenbin Jiao

“…A novel dataset comprising 799 UHPC mix designs, featuring 15 input parameters and one target variable, was curated from the literature. Outlier detection was performed using Grubbs' test with median imputation, and robust scaling was applied to ensure data consistency. …”
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Review of Multivariate Time Series Clustering Algorithms by ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu

“…Multivariate time series (MTS) data, serving as a crucial basis for intelligent technologies across numerous domains, record the state changes of multiple variables in systems over time. …”
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Systematic Review and Meta-Analysis of AI-Assisted Mammography and the Systemic Immune-Inflammation Index in Breast Cancer: Diagnostic and Prognostic Perspectives by Sebastian Ciurescu, Maria Ciupici-Cladovan, Victor Bogdan Buciu, Diana Gabriela Ilaș, Cosmin Cîtu, Ioan Sas

“…However, variability in optimal cut-off values for SII limits its immediate clinical standardization. …”
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Nanoscale Temperature Sensor with Dual Circular and Square Structures Based on MIM Waveguides by Shubin Yan, Hongfu Chen, Yuanyuan Gao, Weixin Liu, Xiaoran Yan, Aiwei Xu, Taiquan Wu

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Prediction of Anemia from Multi-Data Attribute Co-Existence by Talal Qadah, Asmaa Munshi

“…Therefore, this study has reevaluated the claims within the domain of detecting and predicting anemia with the best machine learning algorithm. …”
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Econometric modeling for proactive risk management of financial failure in Moroccan SMEs: a stepwise logistic regression approach in python by Dina Ait Lahcen, Nour-Eddin Amghar

“…Future research could improve this model by incorporating macroeconomic and qualitative variables, thereby expanding its analytical depth and practical applicability.…”
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A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles by Jianqiao Chen, Guofu Tian

“…Autonomous driving technology, as a key component of intelligent transportation systems, has gained considerable attention in recent years. …”
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Enhancing visual perception by modulating prestimulus alpha and beta power with tRNS by Jinwen Wei, Huiru Zou, Qianyuan Tang, Ziqing Yao, Gan Huang, Zhen Liang, Li Zhang, Lijie Ren, Xiaodong Cai, Chen Yao, Changsong Zhou, Zhiguo Zhang

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