Analysis of the Design of Cavities with Isothermal Blocks under Mixed Convection by Rafael Borahel, Flávia Zinani, Liércio Isoldi, Elizaldo dos Santos, Luiz Rocha

“…The differential equations that comprise the mathematical model were solved computationally through numerical simulations using the finite volume method. …”
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CORN 2.0 - Condition Orientated Regulatory Networks 2.0 by Ricky Wai Tak Leung, Xinying Zhang, Zhuobin Chen, Yuyun Liang, Simei Huang, Zixin Yang, Xueqing Zong, Xiaosen Jiang, Runming Lin, Wenbin Deng, Yaohua Hu, Jing Qin

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Aligning to the teacher: multilevel feature-aligned knowledge distillation by Yang Zhang, Pan He, Chuanyun Xu, Jingyan Pang, Xiao Wang, Xinghai Yuan, Pengfei Lv, Gang Li

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Duty of care, data science, and gambling harm: A scoping review of risk assessment models by Virve Marionneau, Kim Ristolainen, Tomi Roukka

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A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…Blink detection is a highly concerned research direction in the field of computer vision, which plays a key role in various application scenes such as human-computer interaction, fatigue detection and emotion perception. …”
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Autonomous vehicle surveillance through fuzzy C-means segmentation and DeepSORT on aerial images by Asifa Mehmood Qureshi, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz AlHammadi, Muhammad Asif Jamal, Ahmad Jalal, Bumshik Lee

“…The high mobility of uncrewed aerial vehicles (UAVs) has led to their usage in various computer vision applications, notably in intelligent traffic surveillance, where it enhances productivity and simplifies the process. …”
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Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs by Xieling Chen, Haoran Xie, Di Zou, Gary Cheng, Xiaohui Tao, Fu Lee Wang

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Ground Penetrating Radar for Monitoring Damage in Reinforced Concrete Bridges: A Reliable Tool for Structural Health Assessment by Olumuyiwa Falowo, Victor Oluwasegunfunmi, Ajiboye Babatunde, Olabisi Kunle

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Optimizing imputation strategies for mass spectrometry-based proteomics considering intensity and missing value rates by Yuming Shi, Huan Zhong, Jason C. Rogalski, Leonard J. Foster

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Fine-tuning AI models for enhanced consistency and precision in chemistry educational assessments by Sri Yamtinah, Antuni Wiyarsi, Hayuni Retno Widarti, Ari Syahidul Shidiq, Dimas Gilang Ramadhani

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Leveraging sentiment analysis of food delivery services reviews using deep learning and word embedding by Dheya Mustafa, Safaa M. Khabour, Mousa Al-kfairy, Ahmed Shatnawi

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Sentiment Analysis of Product Reviews Using Machine Learning and Pre-Trained LLM by Pawanjit Singh Ghatora, Seyed Ebrahim Hosseini, Shahbaz Pervez, Muhammad Javed Iqbal, Nabil Shaukat

“…Traditional models show better results and efficiency in processing short, concise text, with SVM in classifying sentiment of short length comments. …”
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Class-weighted Dempster–Shafer in dual-level fusion for multimodal fake real estate listings detection by Maifuza Mohd Amin, Nor Samsiah Sani, Mohammad Faidzul Nasrudin

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Application of Naive Bayes and Forward Chaining Methods in a Web-Based Expert System for Stunting Diagnosis in Toddlers by Ayu Fadilah, Raissa Amanda Putri

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Impacts of generative artificial intelligence on the future of labor market: A systematic review by Nader Salari, Mahan Beiromvand, Amin Hosseinian-Far, Javad Habibi, Fateme Babajani, Masoud Mohammadi

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Enhancing Feedback Quality at Scale: Leveraging Machine Learning for Learner-Centered Feedback by Ahmad Ari Aldino, Yi-Shan Tsai, Rafael Ferreira Mello, Dragan Gašević, Guanliang Chen

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Investigating Offensive Language Detection in a Low-Resource Setting with a Robustness Perspective by Israe Abdellaoui, Anass Ibrahimi, Mohamed Amine El Bouni, Asmaa Mourhir, Saad Driouech, Mohamed Aghzal

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Effectiveness of AdaBoost and XGBoost Algorithms in Sentiment Analysis of Movie Reviews by I Gusti Ayu Nandia Lestari, Ni Made Rai Masita Dewi, Komang Gita Meiliana, I Komang Agus Ady Aryanto

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Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving by Manal Abdullah Alohali, Hamed Alqahtani, Abdulbasit Darem, Monir Abdullah, Yunyoung Nam, Mohamed Abouhawwash

“…Because of their post-manufacturing adaptability, parallel processing capabilities, and reconfigurability, field programmable gate arrays (FPGAs) are used to execute reinforcement learning in real-time. …”
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Traffic Scene Depth Analysis Based on Depthwise Separable Convolutional Neural Network by Jianzhong Yuan, Wujie Zhou, Sijia Lv, Yuzhen Chen

“…At the same time, they require reduced computational cost and fewer parameter numbers while providing a similar level (or slightly better) computing performance. …”
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