Acoustic cues for person identification using cough sounds by Van-Thuan Tran, Ting-Hao You, Wei-Ho Tsai

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Statistical Analysis of Inverse Weibull based on Step-Stress Partially Accelerated Life Tests with Unified Hybrid Censoring Data by Amal Soliman Hassan, Abd ELwahab Hagag, Nader Metwally, Omar Hussein Sery

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Baby schema in human-robot physical interaction: Influence of baby likeness in a communication robot on caregiving behavior by Shi Feng, Nobuo Yamato, Hiroshi Ishiguro, Masahiro Shiomi, Hidenobu Sumioka

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BOL-LPP: A Bayesian-Optimized LSTM Model for Day-Ahead Load Price Forecasting in the ERCOT Market by Yomna Mohamed, Mostafa M. Fouda, Zubair Md Fadlullah, Rabab Abdelfattah, Mohamed I. Ibrahem

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Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River by Shuguang Li, Sultan Noman Qasem, Shahab S. Band, Rasoul Ameri, Hao-Ting Pai, Saeid Mehdizadeh

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Development of interpretable intelligent frameworks for estimating river water turbidity by Amin Gharehbaghi, Salim Heddam, Saeid Mehdizadeh, Sungwon Kim

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Graph visualization efficiency of popular web-based libraries by Xin Zhao, Xuan Wang, Xianzhe Zou, Huiming Liang, Genghuai Bai, Ning Zhang, Xin Huang, Fangfang Zhou, Ying Zhao

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Monitoring water quality parameters using multi-source data-driven machine learning models by Yubo Zhao, Mo Chen, Jinyu He, Yanping Ma

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Deep learning radiomics of elastography for diagnosing compensated advanced chronic liver disease: an international multicenter study by Xue Lu, Haoyan Zhang, Hidekatsu Kuroda, Matteo Garcovich, Victor de Ledinghen, Ivica Grgurević, Runze Linghu, Hong Ding, Jiandong Chang, Min Wu, Cheng Feng, Xinping Ren, Changzhu Liu, Tao Song, Fankun Meng, Yao Zhang, Ye Fang, Sumei Ma, Jinfen Wang, Xiaolong Qi, Jie Tian, Xin Yang, Jie Ren, Ping Liang, Kun Wang

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Radio Frequency Sensing–Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models by Najah AbuAli, Ihtesham Jadoon, Farman Ullah, Mohammad Hayajneh, Shayma Alkobaisi

“…AlexNet is robust and maintains high precision and recall across all configurations. Computational analysis reveals that AlexNet is time-efficient, particularly at large batch sizes, while GoogleNet incurs higher computational costs due to its complex architecture. …”
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CanvasHero: The role of artificial intelligence in cultivating resilience among children and youth using the 6-part story method in mass war trauma by Yuval Haber, Inbar Levkovich, Iftach Tzafrir, Karny Gigi, Dror Yinon, Dorit Hadar Shoval, Zohar Elyoseph

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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Our work addresses this gap by integrating LLMs into PSO to reduce model evaluations and improve convergence for deep learning hyperparameter tuning. …”
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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

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Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images by Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, Mohamed Ben Ammar, Monji Kherallah

“…Abstract The vision transformer (ViT) architecture, with its attention mechanism based on multi-head attention layers, has been widely adopted in various computer-aided diagnosis tasks due to its effectiveness in processing medical image information. …”
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Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos by Shadi Jaradat, Mohammed Elhenawy, Huthaifa I. Ashqar, Alexander Paz, Richi Nayak

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Drought Detection in Satellite Imagery: A Layered Ensemble Machine Learning Approach by Muhammad Owais Raza, Naeem Ahmed Mahoto, Mana Saleh Al Reshan, Ali Alqazzaz, Adel Rajab, Asadullah Shaikh

“…The validation of the model is computed using the stratified split method. The developed classification model is evaluated using well-established indexes, including accuracy, precision, recall, F measure, and Area Under Curve (AUC). …”
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Aerodynamic performance analysis of a floating wind turbine with coupled blade rotation and surge motion by Kai Wang, Mengshang Zhao, Siqi Chen, Ruosi Zha

“…The numerical results are evaluated against the data obtained by wind tunnel experiments, indicating an acceptable relative error of [Formula: see text] for the power coefficient, [Formula: see text], at the rated tip speed ratio (TSR). …”
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Parameterised analysis of blade profiles within electric submersible pump for enhancing energy conversion efficiency by Hui Wang, Yang Yang, Qingchen Che, Jinghe Hou, Dunwei Liu, Leilei Ji, Ling Zhou, Hui Li, Zhaoming He

“…These designs are then evaluated using high-precision computational fluid dynamics (CFD) methods to assess their energy performance and internal flow characteristics, enabling the identification of the optimal blade profile. …”
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Few-Shot Segmentation Using Multi-Similarity and Attention Guidance by Ehtesham Iqbal, Sirojbek Safarov, Seongdeok Bang, Sajid Javed, Yahya Zweiri, Yusra Abdulrahman

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An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

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