Lightweight Models for Real-Time Steganalysis: A Comparison of MobileNet, ShuffleNet, and EfficientNet by Achmad Bauravindah, Dhomas Hatta Fudholi

“…Data augmentation, transfer learning, and hyperparameter tuning will also be explored to optimize model performance. …”
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Current scenario of machine learning applications to hydrothermal liquefaction via bibliometric analysis [version 3; peer review: 1 approved, 2 approved with reservations, 1 not ap... by Nakorn Tippayawong, Sakprayut Sinthupinyo, Somboon Sukpancharoen, Tossapon Katongtung

“…However, the development of machine learning in hydrothermal liquefaction is still limited due to its novelty and the time required for comprehensive study. …”
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Investigating the Predominance of Large Language Models in Low-Resource Bangla Language over Transformer Models for Hate Speech Detection: A Comparative Analysis by Fatema Tuj Johora Faria, Laith H. Baniata, Sangwoo Kang

“…However, current methods fall short in addressing the massive volume of content. …”
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Commentary: You're Not Studying, You're Just... by Ravi Purushotma

“…This commentary examines how content originally designed for entertainment purposes can be modified to provide natural and context rich language learning environments, without sacrificing its entertainment value. …”
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Perceptions of Chemical Engineering Students on Decolonizing the Curriculum by Incorporating Indigenous Knowledge Practices by Machodi Mathaba

“… The #FeesMustFall movement, which rocked institutions of higher learning in South Africa in 2015/2016, inspired robust engagement around the decolonization of knowledge. …”
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Advanced intrusion detection in internet of things using graph attention networks by Aamir S. Ahanger, Sajad M. Khan, Faheem Masoodi, Ayodeji Olalekan Salau

“…Common Internet of Things safety features like encryption, authentication, and access control frequently fall short of meeting their desired functions. In this paper, we present a novel perspective to IoT security by using a Graph-based (GB) algorithm to construct a graph that is evaluated with a graph-based learning Intrusion Detection System (IDS) incorporating a Graph Attention Network (GAT). …”
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Enhancing Urban Flood Susceptibility Assessment by Capturing the Features of the Urban Environment by Juwei Tian, Yinyin Chen, Linhan Yang, Dandan Li, Luo Liu, Jiufeng Li, Xianzhe Tang

“…However, existing UFS studies often fall short due to a limited understanding of UFs’ nature, frequently relying on disaster factors analogous to those used for natural floods while neglecting key urban characteristics, limiting the accuracy of UFS estimates. …”
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SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

“…This study examines one such scenario of real-time monitoring systems for fall risk assessment in bedridden patients where class imbalance may compromise the effectiveness of machine learning. …”
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Hierarchical Article Classification: A Multi-Level Framework for Organizing Scholarly Literature by Luis P. F. Garcia, Jesus P. Mena-Chalco, Rafaela L. Grando, Waldeyr M. C. da Silva, Felipe P. Guimaraes, Vanessa de A. Jorge

“…The classification of scholarly publications is a critical task for knowledge organization, yet traditional methods often fall short in addressing the complexities of interdisciplinary research and evolving hierarchical structures. …”
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Deep cascaded registration and weakly-supervised segmentation of fetal brain MRI by Valentin Comte, Mireia Alenya, Andrea Urru, Judith Recober, Ayako Nakaki, Francesca Crovetto, Oscar Camara, Eduard Gratacós, Elisenda Eixarch, Fatima Crispi, Gemma Piella, Mario Ceresa, Miguel A. González Ballester

“…Deformable image registration is a cornerstone of many medical image analysis applications, particularly in the context of fetal brain magnetic resonance imaging (MRI), where precise registration is essential for studying the rapidly evolving fetal brain during pregnancy and potentially identifying neurodevelopmental abnormalities. While deep learning has become the leading approach for medical image registration, traditional convolutional neural networks (CNNs) often fall short in capturing fine image details due to their bias toward low spatial frequencies. …”
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Human motor control during movements with high demands by Paul Kaufmann, Willi Koller, Elias Wallnöfer, Basilio Goncalves, Clara Scheer, Juliana Exel, Olivia Froschauer, Catherine Hlavac, Mathias Wiplinger, Lorenz Zweier, Arnold Baca, Hans Kainz

“…Synergies were identified as similar if the correlation exceeded a threshold of 0.623 (Kaufmann et al., 2024). LEARN Ten participants were required to walk over a line taped on the floor, a beam, and learn to walk over a tightrope, all within one single data collection session. …”
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SICNet_season V1.0: a transformer-based deep learning model for seasonal Arctic sea ice prediction by incorporating sea ice thickness data by Y. Ren, Y. Ren, Y. Ren, X. Li, X. Li, X. Li, Y. Wang, Y. Wang, Y. Wang

“…<p>The Arctic sea ice suffers dramatic retreat in summer and fall, which has far-reaching consequences for the global climate and commercial activities. …”
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High-Precision Multidimensional Photosensor Based on Hybrid Optofluidic Microbubble Resonator by Bing Duan, Xuan Zhang, Xiaochong Yu, Yixuan Zhao, Jinhui Chen, Yongpan Gao, Cheng Wang, Daquan Yang

“…Empowered by machine learning, the laser power and wavelength are precisely decoupled with almost all predictions falling within the 99% prediction bands. …”
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Educational board game for training dental and dental hygiene students in patient safety issues by Ju-Hui Wu, Pei-Hung Su, Hsiu-Yueh Wu, Yu-Mei Hsin, Chia-Hua Lin, Chen-Yi Lee

“…Abstract Background Game-based learning has become increasingly popular in medical education. …”
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Multi-strategy enhanced artificial rabbits optimization for prediction of grades in tourism service communication courses by Xiaodan Qu, Zhuyin Jia

“…However, like other metaheuristic algorithms, it often falls into local optima, and as iterations increase, the convergence speed slows down, leading to reduced convergence accuracy. …”
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How nanoinformatics could pave the way to safer design of engineered nanomaterials? by Sarmistha Saha

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Stress, Anxiety and Depression in First-year Medical Undergraduates and Coping Strategies Employed during COVID-19-induced Online Learning: A Cross-sectional Study from North India by Rashmi Malhotra, Manisha Naithani, Anita Verma, Yogesh Bahurupi, Kanchan Bisht, Brijendra Singh, Tanmay Joshi

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Artificial intelligence techniques for stability analysis in modern power systems by Jiashu Fang, Chongru Liu

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TEXTBOOK ANALYSIS IN THE SERVICE OF CHEMISTRY TEACHING by Aija Ahtineva

“…The majority of the textbook tasks fall into higher order categories characterized by knowledge structures assuming application of knowledge or making inferences. …”
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Developing Nearpod-Based Interactive Multimedia on the Topic of Indonesian Cultural Diversity for 4th Grade Elementary School Students by Indi Azza Alawiyah, Farid Ahmadi

“…Material validation scores on aspects of accuracy with learning objectives, students' level of thinking, language, and supporting aspects (videos, images, quizzes) also fall into the "very valid" category with a score of 95%. …”
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