Assessing the quality of automatic-generated short answers using GPT-4 by Luiz Rodrigues, Filipe Dwan Pereira, Luciano Cabral, Dragan Gašević, Geber Ramalho, Rafael Ferreira Mello

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Discussion on techniques of data cleaning, user identification, and session identification phases of web usage mining from 2000 to 2022 by Mohammed Ali Mohammed, Hala Abdulsalam jasim, Ahmed Oday

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Directional Moving Target Indication: A Novel SAR Ambiguity Function for Traffic Monitoring by Paulo Marques

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Moving Loads on Thermo-viscoelastic Micropolar Solid Medium with Voids and Two Temperature by Mohamed Othman, Montaser Fekry

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

“…Using the constructal design method (CDM), this study aimed to evaluate how the convective heat transfer in a lid‑driven cavity, with an isothermal block (IB) inside, is affected by the cavity aspect ratio (AR). …”
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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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Analyzing K-12 AI education: A large language model study of classroom instruction on learning theories, pedagogy, tools, and AI literacy by Di Wu, Meng Chen, Xu Chen, Xing Liu

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Augmented Reality in Enhancing Operating Room Crisis Checklist Adherence: Randomized Comparative Efficacy Study by Rayan Ebnali Harari, Abdullah Altaweel, Erik Anderson, Charles Pozner, Rafael Grossmann, Andrew Goldsmith, Hamid Shokoohi

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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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Listening to Patients: Advanced Arabic Aspect-Based Sentiment Analysis Using Transformer Models Towards Better Healthcare by Seba AlNasser, Sarab AlMuhaideb

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A novel mobile robot path planning method based on neuro-fuzzy controller by Abbas Mostafanasab, Mohammad Bagher Menhaj, Mahnaz Shamshirsaz, Rasul Fesharakifard

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Performance Enhancement of UWB Material Characterization and Object Recognition for Security Robots by Rahmi Salman, Thorsten Schultze, Ingolf Willms

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A new relaxation technique based on fractional representation to solve bilinear models: Application to the long horizon crude oil scheduling problem by Mohammad Nasir Yarahmadi, Seyyed Ali MirHassani, Farnaz Hooshmand

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High-Level Synthesis: Productivity, Performance, and Software Constraints by Yun Liang, Kyle Rupnow, Yinan Li, Dongbo Min, Minh N. Do, Deming Chen

“…Then, to evaluate the suitability of HLS on real-world applications, we perform a case study of stereo matching, an active area of computer vision research that uses techniques also common for image denoising, image retrieval, feature matching, and face recognition. …”
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Viability Study of SYCL as a Unified Programming Model for Heterogeneous Systems Based on GPUs in Bioinformatics by Manuel Costanzo

“…Therefore, this thesis set out as its general objective to evaluate the feasibility of SYCL as a unified, portable, and efficient heterogeneous programming model for the design and development of computationally demanding applications on heterogeneous GPU-based systems, specifically in the field of bioinformatics. …”
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Immersive technologies in Education: Exploring user experience and engagement in building energy simulations through AR and VR by Kifah Alhazzaa, Wei Yan

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Fuzzy-Based Adaptive Hybrid Burst Assembly Technique for Optical Burst Switched Networks by Abubakar Muhammad Umaru, Muhammad Shafie Abd Latiff, Yahaya Coulibaly

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The analysis of Java ORM frameworks performance in terms of analytical data processing by Justyna Baran, Piotr Muryjas

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LIU-NET: lightweight Inception U-Net for efficient brain tumor segmentation from multimodal 3D MRI images by Gul e Sehar Shahid, Jameel Ahmad, Chaudary Atif Raza Warraich, Amel Ksibi, Shrooq Alsenan, Arfan Arshad, Rehan Raza, Zaffar Ahmed Shaikh

“…To evaluate the robustness of the proposed architecture, LIU-Net was cross-validated on an external cohort BraTS 2020 dataset. …”
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Towards more efficient initialization methods for Convolutional Neural Networks via K-Means and Principal Components by Federico Rabinovich, Facundo Quiroga, Franco Ronchetti

“… This paper presents an exploration of unsupervised methods for initializing and training filters in convolutional layers, aiming to reduce the dependency on labeled data and computational resources. We propose two unsupervised methods based on the distribution of input data and evaluate their performance against traditional Glorot Uniform initialization. …”
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