Comparison of CatBoost and LightGBM Models for Air Humidity Prediction by Tangkas Surya Wibawa, Novita Kurnia Ningrum, Ahmad Syahreza

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Measuring Distraction at the Levels of Tactical and Strategic Control: The Limits of Capacity-Based Measures for Revealing Unsafe Visual Sampling Models by Tuomo Kujala, Pertti Saariluoma

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HwPMI: An Extensible Performance Monitoring Infrastructure for Improving Hardware Design and Productivity on FPGAs by Andrew G. Schmidt, Neil Steiner, Matthew French, Ron Sass

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An artificial intelligence-based platform for personalized predictions of Metacognitive Training effectiveness by Caroline König, Pedro Copado, Alfredo Vellido, Àngela Nebot, Cecilio Angulo, Maria Lamarca, Vanessa Acuña, Fabrice Berna, Steffen Moritz, Łukasz Gawęda, Susana Ochoa

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Nonlinear Equation Solver with MATLAB Graphical User Interface by Nur Idalisa Norddin, Nurul Hafawati Fadhilah, Muhammad Azri Azman Shah, Nurul Hajar Mohd Yusoff, Nur Intan Syafinaz Ahmad

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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

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Impact of digitization on educational management: Results of the introduction of a learning management system in a traditional school context by Alex Pacheco, Renato Yupanqui, Diana Mogrovejo, Joel Garay, Yrene Uribe-Hernández

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Predicting the impact of missense mutations on an unresolved protein’s stability, structure, and function: A case study of Alzheimer’s disease-associated TREM2 R47H variant by Joshua Pillai, Kijung Sung, Chengbiao Wu

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Collaboration Between Human–Robot Interaction Based on CDPR in a Virtual Reality Game Environment by Dang Tri Dung, Nguyen Minh Trieu, Nguyen Truong Thinh

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Two-stage stochastic capacitated Lot-Sizing problem by Lot-Size adaptation approach by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

“…To quantify the economics of our uncertainty strategy for multi-level lot size the problems, the number of test instances with different parameter settings is evaluated. Computational experiments show that the additional costs of semifinished products, and the lack of storage capacity in the downstream processes reduce the potential for cost savings via multi-volume reform. …”
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Bridging prediction and reality: Comprehensive analysis of experimental and AlphaFold 2 full-length nuclear receptor structures by Akerke Mazhibiyeva, Tri T. Pham, Karina Pats, Martin Lukac, Ferdinand Molnár

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A comparative analysis of variants of machine learning and time series models in predicting women’s participation in the labor force by Rasha Elstohy, Nevein Aneis, Eman Mounir Ali

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Proto-Caps: interpretable medical image classification using prototype learning and privileged information by Luisa Gallée, Catharina Silvia Lisson, Timo Ropinski, Meinrad Beer, Michael Götz

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Charting new territories: fuzzy systems in English language teaching and learning by Xiaomei Wen, Deng Pan

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Explainable Pre-Trained Language Models for Sentiment Analysis in Low-Resourced Languages by Koena Ronny Mabokela, Mpho Primus, Turgay Celik

“…However, due to linguistic complexities and limited data or computational resources, it is under-represented in many African languages. …”
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Enhancing breast cancer prediction through stacking ensemble and deep learning integration by Fatih Gurcan

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Palmprint recognition based on principal line features by Hongxia Wang, Teng Lv

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A Comparative Analysis of Sentence Transformer Models for Automated Journal Recommendation Using PubMed Metadata by Maria Teresa Colangelo, Marco Meleti, Stefano Guizzardi, Elena Calciolari, Carlo Galli

“…Evaluations on 50 test articles highlight mpnet’s strong performance (mean similarity score 0.71 ± 0.04), albeit with higher computational demands. …”
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Edge Artificial Intelligence: Real-Time Noninvasive Technique for Vital Signs of Myocardial Infarction Recognition Using Jetson Nano by H. M. Mohan, S. Anitha, Rifai Chai, Sai Ho Ling

“…The rapid evolution in autonomous technologies, the rise of computer vision, and edge computing offers intriguing possibilities in healthcare monitoring systems. …”
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Implementation of MobileNet Architecture for Skin Cancer Disease Classification by Haniifa Aliila Faudyta, Jesica Trivena Sinaga, Egia Rosi Subhiyakto

“…This study aims to implement and evaluate the MobileNet architecture for classifying nine types of skin lesions using the ISIC 2020 dataset and to compare MobileNet's performance with other CNN architectures, such as VGG-16 and LeNet, in terms of accuracy and computational efficiency. …”
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