Layer ensemble averaging for fault tolerance in memristive neural networks by Osama Yousuf, Brian D. Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam

“…For the image classification task with 20% stuck-at faults, accuracy improves from 40% to 89.6% (within 5% of baseline), and for the continual learning problem, accuracy improves from 55% to 71% (within 1% of baseline). …”
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IQNet: Image Quality Assessment Guided Just Noticeable Difference Prefiltering for Versatile Video Coding by Yu-Han Sun, Chiang Lo-Hsuan Lee, Tian-Sheuan Chang

“…Our method demonstrates higher perceptual quality and a model size that is an order of magnitude smaller than previous deep learning methods.…”
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Exploring teachers' experiences in teaching learners with Dissociative identity disorder at rural schools in the Amajuba district KwaZulu-Natal by Nelly Mokoena

“…This comprehensive method facilitated a nuanced understanding of DID's effects on learning and academic outcomes. Results indicated a significant correlation between learners with DID and lower academic performance when compared to their peers without DID. …”
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Monitoring Driving in a Monotonous Environment: Classification and Recognition of Driving Fatigue Based on Long Short-Term Memory Network by Hao Han, Kejie Li, Yi Li

“…A recognition model of different fatigue degrees of drivers is built based on the deep learning method of a long short-term memory network (LSTM) to detect the varied fatigue degrees of drivers. …”
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Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network by Chengtao Wang, Wei Li, Gaifang Xin, Yuqiao Wang, Shaoyi Xu

“…A method combining electrochemical experiment with the machine learning algorithm was utilized in this research to study the corrosion current density under the coupling action of stray current and chloride ion. …”
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User Satisfaction for an Augmented Reality Application to Support Productive Vocabulary Using Speech Recognition by Nurhazarifah Che Hashim, Nazatul Aini Abd Majid, Haslina Arshad, Waqas Khalid Obeidy

“…There is still lack of research focus on user satisfaction towards the use of AR-based app using speech recognition for vocabulary learning in early education. The first objective of this paper is to develop an AR application for children using speech recognition to enhance productive vocabulary learning that integrates visual script (orthography) and audio (phonology). …”
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Exploring ESL teachers’ experiences about ICT-based 4Cs skills: a phenomenological study by Raja Bahar Khan Soomro, Rifat Abbas Khan, Irfan Ahmed Rind

“…Abstract This study examines the experiences of university-level English as a Second Language (ESL) teachers in relation to the integration of Information and Communication Technology (ICT)-based 4Cs (communication, collaboration, critical thinking, and creativity) skills in English language teaching and learning. The research aims to explore the impact of 4Cs skills on the teaching and learning process, particularly in the context of ESL education. …”
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MSSA: multi-stage semantic-aware neural network for binary code similarity detection by Bangrui Wan, Jianjun Zhou, Ying Wang, Feng Chen, Ying Qian

“…Current state-of-the-art approaches are based on Transformer, which require substantial computation resources. Learning-based approaches remains room for optimization in learning the deeper semantics of binary code. …”
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A lightweight power quality disturbance recognition model based on CNN and Transformer by ZHANG Bide, QIU Jie, LOU Guangxin, ZHOU Can, LUO Qingqing, LI Tianqian

“…Its lightweight, end-to-end design also results in shorter inference times compared to other deep learning models.…”
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Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model by Basim Mahbooba, Mohan Timilsina, Radhya Sahal, Martin Serrano

“…Despite the growing popularity of machine learning models in the cyber-security applications (e.g., an intrusion detection system (IDS)), most of these models are perceived as a black-box. …”
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Analisis Kinerja Algoritma Klasifikasi Teks Bert dalam Mendeteksi Berita Hoaks by Assyfa Rasida Hanum, Ivykaeyla Adriana Zetha, Salwa Cahyani Putri, Rafifah Ayud Wulandari, Sherla Puspa Andina, Julia Nur Fajrina, Novanto Yudistira

“…Hasil evaluasi menunjukkan bahwa model klasifikasi BERT memiliki akurasi sebesar 76% pada data validasi dalam mengklasifikasikan berita hoaks, yang menunjukkan performa atau kinerja model Machine Learning dalam melakukan klasifikasi berita hoaks. …”
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Reproduction of assimilationist thinking in Norwegian social studies: Breaking the cycle through reflective practice by Christian Engen Skotnes, Priscilla Ringrose

“… Highlights: • We have learned that we, as teachers and teacher educators, need to be aware of the risk of reproducing uncritical approaches in educational interventions on migration…”
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RUKUN NASUTION (1928-1998) AND HIS POETRY CORPUS: A Preliminary Study by Hasan Asari, Yusnaili Budianti

“…Rukun Nasution identified available learning potentials around him and maximized it to advance his education. …”
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Multimedia Thesaurus: A Case of Designing and Prospects for Using in Engineering Education by M. M. Bazhutina

“…The author emphasizes the fact that successful teaching cross-cultural engineering communication requires outlining the content of learning situations, the modelling of which is the English language instructor’s responsibility. …”
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Conditions Affecting the Performance of Peripheral Vein Cannulation during Hospital Placement: A Case Study by Monika Ravik, Anton Havnes, Ida Torunn Bjørk

“…Learning practical nursing skills is an important part of the baccalaureate in nursing. …”
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DEDUCTIVE AND INDUCTIVE INSTRUCTIONS FOR TEACHING ENGLISH GRAMMAR IN ONLINE CLASSROOM by Christina Eli Indriyani

“…Moreover, during the covid-19 pandemic outbreak where all learning processes are conducted online, teaching strategy needs to be considered. …”
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Explainable Security Requirements Classification Through Transformer Models by Luca Petrillo, Fabio Martinelli, Antonella Santone, Francesco Mercaldo

“…In addition, we employ few-shot learning techniques by leveraging transfer learning models, explicitly utilizing pre-trained architectures. …”
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Skills Acquired by Students in the Orthodontics Residence. Academic Year 2008-2009 by Clotilde de la Caridad Mora Pérez, Eduardo Maikel Curbeira Hernández, Amarelys Morera Pérez, Yuritza Hernández Núñez, Jorge A. Rodríguez López

“…<strong>Background</strong>: learning assessment involves the monitoring and evaluation of students’ knowledge, skills and habits as well as the action procedures they acquire along the educational process. …”
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English Grammar Error Correction Algorithm Based on Classification Model by Shanchun Zhou, Wei Liu

“…Classification model is the core of machine learning and data mining, which can be applied to extracting information from English text data and constructing a reliable grammar correction method. …”
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A conceptual framework for designing human-centered building-occupant interactions to enhance user experience in specific-purpose buildings by N. Roofigari-Esfahan, E. Morshedzadeh

“…Qualitative coding and concept mapping were used to analyze the qualitative data and determine the impact of occupant-specific needs on the learning experience of students. “Finding study space” was found to have the highest direct impact on the learning experience of students, and “Indoor Environment Quality (IEQ)” was found to have the highest indirect impact. …”
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