Learning to Live Together. A Key Educational Challenge of our Time by Ausilia Chang Hiang-Chu

“…The commitment of learning to live together / with others is considered a key educational challenge of our time. …”
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A Survey on the Deep Learning-Based Mismatch Removal: Principles and Methods by Shiyu Chen, Cailong Deng, Yong Zhang, Yong Wang, Qixin Zhang, Zhimin Zhou

“…To address these two shortcomings, this paper presents a comprehensive survey of DL-based mismatch removal principles and methods. …”
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USE OF MODERN TECHNICAL LEARNING DEVICES BY STUDENTS DURING THE EDUCATIONAL PROCESS by O.Yu. Andriyanova, L.F. Kaskova, L.I. Amosova, P.I. Yatsenko, N.A. Morgun, I.Yu. Vashchenko, A.V. Artem'ev

“… The article presents data from a survey of applicants for education and describes the variability of the use of gadgets in the educational process at different stages of learning. …”
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Noninvasive pressure monitoring using acoustic resonance spectroscopy and machine learning by M. Prisbrey, D. Pereira, J. Greenhall, E. Davis, P. Vakhlamov, C. Chavez, C. Pantea

“…However, existing noninvasive techniques require permanently attaching sensors to a unique vessel and then monitoring for changes in the vessel. We present a noninvasive pressure monitoring technique based on acoustic resonance spectroscopy (ARS) and machine learning (ML) that enables estimating pressure in a vessel similar to those it was trained on and does not require sensors to be permanently attached. …”
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Modern Deep Learning Techniques for Big Medical Data Processing in Cloud by Mohammed Y. Shakor, Mustafa Ibrahim Khaleel

“…The recent advancements in Machine Learning (ML) and Deep Learning (DL) provide a new dimension in biomedical big data analysis, while the cloud computing technologies present the breakthroughs of handling massive data from hardware, software, and storage. …”
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A Systematic Framework for Sanskrit Character Recognition Using Deep Learning by Vrinda Kore, Dhruva G, Sahana Rao, Vijitha M, P. Preethi

“…The proposed technique accommodates a diverse array of characters and modifiers present in the Sanskrit script. Subsequently, a concurrent deep learning architecture parallelizes transcription using Neural Networks (CNN and Residual Networks). …”
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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

“…In this paper, the authors present various machine learning techniques applied in malicious URL detection. …”
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Learning-Assisted Multi-IMU Proprioceptive State Estimation for Quadruped Robots by Xuanning Liu, Yajie Bao, Peng Cheng, Dan Shen, Zhengyang Fan, Hao Xu, Genshe Chen

“…This paper presents a learning-assisted approach for state estimation of quadruped robots using observations of proprioceptive sensors, including multiple inertial measurement units (IMUs). …”
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Using machine learning for the assessment of ecological status of unmonitored waters in Poland by Andrzej Martyszunis, Małgorzata Loga, Karol Przeździecki

“…Abstract Advancements in Artificial Intelligence (AI) technology allow for development of new tools for analytics and management which present new opportunities in field of environmental protection. …”
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Multimodal scene recognition using semantic segmentation and deep learning integration by Aysha Naseer, Mohammed Alnusayri, Haifa F. Alhasson, Mohammed Alatiyyah, Dina Abdulaziz AlHammadi, Ahmad Jalal, Jeongmin Park

“…In order to overcome these obstacles, this study presents a novel multimodal deep learning technique that enhances scene recognition accuracy and robustness by combining depth information with conventional red-green-blue (RGB) image data. …”
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Grid cells, place cells, and geodesic generalization for spatial reinforcement learning. by Nicholas J Gustafson, Nathaniel D Daw

“…Rather than localization, the key problem in learning is generalization between past and present situations, which may not match perfectly. …”
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Devising a Breast Cancer Diagnosis Protocol through Machine Learning by Tooba Mujtaba, Saif Ullah Hashmi, Usama Bin Imtiaz, Sheikh Jameel Fathima Nusra

“…The support vector machine (SVM) and decision tree models of machine learning were used to evaluate the prognostic and diagnostic significance. …”
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EXPERIENCE OF USING BLACKBOARD E-LEARNING SYSTEM PLATFORM IN BACHELORS TRAINING by Alexey I. Nazarov, Olga V. Sergeeva

“…The article describes the overall results of teaching process. The authors present the platform advantages in organizing and tracking of students self-directed learning.…”
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Prediction of Single Event Effect in Inverter Circuit Based on Deep Learning by Jin Huang, Rong Zhao, Shulong Wang, Xingyuan Yan, Hao Zhou, Liutao Li, Shupeng Chen, Hongxia Liu

“…Taking FDSOI technology as an example, this paper presents a research method of device modeling and performance prediction based on deep learning. …”
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METHODS OF DEVELOPING CORRECT PERCEPTION AND ARTICULATION SKILLS IN FOREIGN LANGUAGE LEARNING by Nina L. Goncharova

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KNOWLEDGE AND ATTITUDE OF SCHOOL TEACHERS REGARDING LEARNING DISABILITIES AMONG CHILDREN by Binu Mathew, Nagarajaiah

“…The present study was conducted to assess the teachers’ awareness regarding learning disabilities among children. …”
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SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT by Donatas SandonaviÄius, AuÅ¡ra GadeikytÄ—, Giedrius Paulikas, Mindaugas VaitkÅ«nas, Gytis Vilutis, Gintaras Butkus

“…This method requires defining the parameters of the resources and knowing the importance of the weights of parameters. This paper also presents the self-learning method of parameter weights. …”
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Using Machine Learning to Predict Response to Inpatient Rehabilitation for FND Patients by Amina Farah, Ayan Farah, Sheharyar Hassan Sheikh, Christopher Symeon

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Resampling-driven machine learning models for enhanced high streamflow forecasting by Nureehan Salaeh, Sirimon Pinthong, Warit Wipulanusat, Uruya Weesakul, Jakkarin Weekaew, Quoc Bao Pham, Pakorn Ditthakit

“…Accurate forecasting of high streamflow remains a significant challenge and is essential for sustainable water resource management and disaster mitigation, particularly due to the data imbalance often present during model development. This study proposes novel hybrid models through a comprehensive investigation of resampling techniques and machine learning algorithms. …”
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From Action Research to Action Learning: How can film communicate by Azadeh Ghahvie

“…On a theoretical level, a rigorous application of participatory action research methodology is presented to tease out the potential for knowledge exchange through a Learning Alliance approach in conjunction with best practices of film in this field. …”
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