Leveraging learned monocular depth prediction for pose estimation and mapping on unmanned underwater vehicles by Marco Job, Marco Job, David Botta, Victor Reijgwart, Luca Ebner, Andrej Studer, Roland Siegwart, Eleni Kelasidi, Eleni Kelasidi, Eleni Kelasidi

“…The pipeline enables net-relative pose estimation for Unmanned Underwater Vehicles (UUVs) and depth prediction within net pens solely from visual data by combining deep learning-based monocular depth prediction with sparse depth priors derived from a classical Fast Fourier Transform (FFT)-based method. …”
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DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking, and Loop Closing by Hao Qu, Lilian Zhang, Jun Mao, Junbo Tie, Xiaofeng He, Xiaoping Hu, Yifei Shi, Changhao Chen

“…To mitigate cumulative positioning errors, DK-SLAM incorporates a novel online learning module that utilizes binary features for loop closure detection. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…To address this issue, we propose a reinforcement learning (RL)–based approach for enhancing cybersecurity in IoT networks. …”
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GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication by Vendi Ardianto Nugroho, Byung Moo Lee

“…These outcomes stem from a proposed data splitting method ensuring balanced label distribution, paired with a GPS preprocessing technique that extracts key positional features, and a DL architecture that maps sequential position data to beam index predictions. …”
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Preservice Teachers’ Shifting Perspectives of Individuals with Intellectual and Developmental Disabilities in Service-Learning Experiences by Stephanie Devine, Cynthia Massey, Kathryn Haughney, Akintomide Adebile

“…Conclusions position subsequent inquiry to explore service-learning outcomes and preservice teacher soft skill development. …”
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Preservice Teachers’ Shifting Perspectives of Individuals with Intellectual and Developmental Disabilities in Service-Learning Experiences by Stephanie Devine, Cynthia Massey, Kathryn Haughney, Akintomide Adebile

“…Conclusions position subsequent inquiry to explore service-learning outcomes and preservice teacher soft skill development. …”
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Preservice Teachers’ Shifting Perspectives of Individuals with Intellectual and Developmental Disabilities in Service-Learning Experiences by Stephanie Devine, Cynthia Massey, Kathryn Haughney, Akintomide Adebile

“…Conclusions position subsequent inquiry to explore service-learning outcomes and preservice teacher soft skill development. …”
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EXPLORATION OF THE USE OF DIGITAL STORYTELLING IN SOCIAL STUDIES LEARNING: A BIBLIOMETRIC ANALYSIS STUDY by Muhammad Rijal Fadli, Imam Santosa, Khusnul Fatonah, Harlinda Syofyan, Vjollca Jonuzi

“…This study aims to fill this gap by exploring publication patterns, research trends, and collaborations related to the use of digital storytelling in elementary school social studies learning. Methodology – This study uses a quantitative method with a bibliometric analysis design to identify publication patterns, research trends, and collaboration networks based on quantitative data from journals and scientific articles. …”
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Combining diffusion and transformer models for enhanced promoter synthesis and strength prediction in deep learning by Xin Lei, Xing Wang, Guanlin Chen, Ce Liang, Quhuan Li, Huaiguang Jiang, Wei Xiong

“…Finally, we developed an integrated platform for generating promoters and predicting their strength.IMPORTANCEWe demonstrated that diffusion models are superior in accomplishing the promoter synthesis task compared to other state-of-the-art deep learning models. The effectiveness of our method was validated using data sets of Escherichia coli and cyanobacteria promoters, showing more stable and prompt convergence and more natural-like promoters than the variational autoencoder model. …”
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Durian Kawan Aceh Selatan تطبيق طريقة الغناء لترقية قدرة الطلبة على حفظ التصريف بمعهد روضة السنة الولية by Suhaimi Suhaimi, Abdullah Abdullah, Firli Sukmawati

“…The results of student responses to the application of this method were positive, where researchers obtained 72% positive responses and 28% negative responses. …”
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Knowledge acquisition and student perceptions of three teaching methods: a randomized trial of live, flipped, and interactive flipped classrooms by Omar Al-Karadsheh, Huda Abutayyem, Ayeh Saidi, Abdelrahman Shqaidef

“…Abstract Background Traditional lecture-based learning has been the cornerstone of dental education; however, active learning strategies such as flipped classrooms are gaining popularity for their potential to enhance student engagement and performance. …”
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Trust-driven approach to enhance early forest fire detection using machine learning by Tayyab Khan, Karan Singh, Bhoopesh Singh Bhati, Khaleel Ahmad, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…Furthermore, a machine learning regression model is deployed at the base station to augment the precision of fire detection. …”
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Online Education in the Republic of Karelia in the New Realities of Society Development by O. V. Potasheva, A. N. Bykova

“…Studying the regional experience of using online educational platforms during the period of distance learning for schoolchildren and identifying the features of new realities on the formation of human capital.Materials and methods. …”
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The Influence of Javanese-Arabic Translation Methods by Tafsir Al-Jalalain towards the Students’ Mastery in Nahwu by Andini Cita Damayulfi, Mochammad Firdaus, Faisol Mahmud Adam Ibrahim

“…Based on the findings, the Javanese-Arabic translation method was recommended to be applied in Islamic boarding schools with Kitab Kuning (Yellow Book) learning system, especially for Islamic Boarding Schools in Java.…”
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Calculation of Sensitivity and Specificity from Partial Data for Meta-Analyses: Introducing Some Practical Methods by Reihanesadat Khatami, Mohammadsadegh Faghihi, Hannanesadat Khatami, Mahmoud Yousefifard, Seyedhesamoddin Khatami

“…We tested these methods on a dataset related to mortality prediction in myocardial infarction (MI) using machine learning models, assessing how well they reconstructed sensitivity and specificity. …”
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Attention-GANs: An Advanced GNSS Data Augmentation Method for Improved NLOS/LOS Classification by S. Nie, H. Yang

“…Using the UrbanNav dataset, we validate our approach by training various ML classifiers on augmented data and comparing their performance against conventional methods. Experimental results demonstrate that our approach effectively mitigates data imbalance, improves classification accuracy, and enhances GNSS positioning robustness in complex urban environments.…”
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Standardizing course assessment in competency-based higher education: an experience report by Hector Vargas, Emanuel Arredondo, Ruben Heradio, Luis de la Torre

“…The second study employed a between-groups design, examining the perceptions of 109 instructors from various faculties, including Law, Economic and Administrative Sciences, Philosophy, and Education, among others.ResultsThe within-group study emphasized the need for better course assessment and alignment of learning objectives with competencies. It found a positive correlation between C-A&M and the effective implementation of CBE in university courses. …”
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Talent Management Pattern Finding with a Succession Approach Using the Met-asynthesis Method by Ali tavakoli, maryam majidi, Alireza Afsharnejad, gholamreza amjadi

“…The research approach used is exploratory, the research strategy includes action research, and the methodology appropriate to this research is the meta-synthesis method based on the Sandelowski and Barso (2007) approach. …”
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Classification of Review Text using Hybrid Convolutional Neural Network and Gated Recurrent Unit Methods by Fiqih Fathor Rachim, Auli Damayanti, Edi Winarko

“…Each review will be grouped into a sentiment class which is divided into positive and negative classes. This study aims to classify review texts using the Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) methods. …”
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A Semantically Enhanced Label Prediction Method for Imbalanced POI Data Category Distribution by Hongwei Zhang, Qingyun Du, Shuai Zhang, Renfei Yang

“…POI data play an important role in various location-based services, including navigation, positioning, and local search applications. …”
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