Academic progress monitoring through neural network by Ramri Shukla, Bardia Khalilian, Sara Partouvi

“…Private colleges use a variety of techniques, including increased tuition, expanded laboratory access, and the formation of learning communities. The prompt identification of students in danger of failing a given programme is important to both the students and the institutions with which they are registered, as seen by the debate presented below. …”
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Determinants of Trust in Higher Education by I. S. Kuznetsov

“…The emphasis is placed on subjective factors – the perception and assessment by young people of what happens with them in the learning process. It is shown that students’ trust in the teachers and university management is positively correlated with their justified expectations (satisfaction), regarding higher education, and negatively correlated with the course of study. …”
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MODERNIZATION OF THE THREE-CYCLE ENGINEERING EDUCATION BASED ON FSES 3++ AND CDIO++ by A. I. Chuchalin

“…The program content, teaching and learning technologies, as well as the conditions of program delivery should meet the FSES 3++ and CDIO++ requirements. …”
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Automated Particle Shape Identification and Quantification for DEM Simulation of Rockfill Materials in Subgrade Construction by Hao Bai, Xiangyu Hu, Ruidong Li, Fei Chen, Zhiyong Liao

“…This study first identifies the subgrade rockfill particle contour by machine learning algorithms, including AdaBoost, Cascade, and sliding windows. …”
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Anonymous whistleblowers reply scheme based on secret sharing by HE Kun, HUANG Yajing, DU Ruiying, SHI Min, LI Siqin, CHEN Jing

“…With the technology of secret sharing and encryption, the email address of the whistleblower was hidden, so that the receiving organization could reply without learning the whistleblower’s identity. The security analysis showed that the proposed scheme enabled the anonymity of both data receivers and whistleblowers at the same time. …”
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Emotion Monitoring for Preschool Children Based on Face Recognition and Emotion Recognition Algorithms by Guiping Yu

“…For previous emotion recognition focusing on faces, we propose to obtain more comprehensive information from faces, gestures, and contexts. Using the deep learning approach, we design a more lightweight network structure to reduce the number of parameters and save computational resources. …”
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EVALUATION OF ENGLISH TEACHING MATERIALS USED AT SD IT UMMI IN KOTA BENGKULU BASED ON KTSP (KURIKULUM TINGKAT SATUAN PENDIDIKAN) by Meri Lestari, Syahrial Syahrial, Arono Arono

“…The textbook was categorized relevance to the KTSP curriculum, but the activities in the listening can be said irrelevant because they cannot cover the learning objectives in listening. It was then recommended that the teachers need to modify the tasks and activities on the textbook which did not fulfill the criteria of good textbook, especially in the area of accompanying materials (CD, Cassettes and pictures), language skill, and teach ability aspects.…”
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Graph-Based Data Analysis for Building Chemistry–Phase Design Rules for High Entropy Alloys by Scott R. Broderick, Stephen A. Giles, Debasis Sengupta, Krishna Rajan

“…While various machine learning approaches were developed for predicting whether an HEA is single or multiphase, changes in chemistry and/or composition can lead to other changes across length scales, which affect material performance. …”
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Creating non-fungible token (NFT)-backed emoji art from user conversations on blockchain by Maedeh Mosharraf, Mohammad Hossein Khorrami

“…It utilizes natural language processing and machine learning methods to extract key sentences from user conversations and match them with emojis that reflect their sentiments. …”
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Cerebellar Development and Plasticity: Perspectives for Motor Coordination Strategies, for Motor Skills, and for Therapy by J. D. Swinny, J. J. L. van der Want, A. Gramsbergen

“…The role of the mammalian cerebellum ranges from motor coordination, sensory-motor integration, motor learning, and timing to nonmotor functions such as cognition. …”
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Adaptive Neural Control of Hypersonic Vehicles with Actuator Constraints by Changxin Luo, Humin Lei, Dongyang Zhang, Xiaojun Zou

“…Secondly, on the basis of the implicit function theorem, the radial basis function neural network (RBFNN) is introduced to approximate the uncertain items of the model. And the minimal-learning-parameter (MLP) technique is adopted to design the adaptive law for the norm of network weight vector, which significantly reduces calculations. …”
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Integrating Cognitive and Affective Dimensions of Pain Experience into Health Professions Education by Beth B Murinson, Lina Mezei, Elizabeth Nenortas

“…It is concluded that, to be most effective, fostering the emotional development of trainees in the health professions necessitates the incorporation of affect-focused learning objectives, educational tasks and assessment methods.…”
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Development of marketing basics materials at SMKN 1 Bandung: Navigating technological disruption by Indah Ayulia, Nida Azka Pauziyyah, Raditya Rama Auda

“…In this context, the article discusses strategies such as faculty training, curriculum updates, and utilization of digital technology in learning. The results of this study offer a profound understanding of the impact of digital technology disruption on marketing education at SMKN 1 Bandung. …”
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Simulation design for improvement of undergraduate nursing students' experience of evidence-based practice: A scoping-review protocol. by Chi Eun Song, Aeri Jang

“…We will also focus on the active learning strategies applied in such simulation programs. …”
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Efficient-Deformable-DETR: Enhancing underwater small target detection in complex environments by Xie Haozheng, Xin Guanghong, Kang Shuo, Xie Qiongdan

“…At the same time, a gradient harmonization mechanism is used to solve the problem of positive and negative sample imbalance, which enhances the model’s learning performance. Experimental results show that the improved model achieves a mAP value of 84.5% on the URPC2020 dataset, an increase of 1.7% over the original model. …”
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Students' Mathematical Logical Thinking Skills through Kite Making in STEM Education by Rotma Wati, Risnanosanti Risnanosanti, Winda Ramadianti

“…These results emphasize the potential of project-based learning in fostering higher-order thinking skills. …”
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Artificial Intelligence and Physics-Based Anomaly Detection in the Smart Grid: A Survey by Giovanni Battista Gaggero, Paola Girdinio, Mario Marchese

“…Anomaly detection methods increasingly rely on Machine Learning techniques, that represent a game-changer tool for data analysis. …”
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Cerebellar Cognitive Affective Syndrome Presented as Severe Borderline Personality Disorder by Danilo Pesic, Amir Peljto, Biljana Lukic, Maja Milovanovic, Snezana Svetozarevic, Dusica Lecic Tosevski

“…An increasing number of findings confirm the significance of cerebellum in affecting regulation and early learning. Most consistent findings refer to association of congenital vermis anomalies with deficits in nonmotor functions of cerebellum. …”
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Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets by Kumar Abhishek, Aditi Jain, Ghassan Hamarneh

“…Abstract The remarkable progress of deep learning in dermatological tasks has brought us closer to achieving diagnostic accuracies comparable to those of human experts. …”
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Development of malaria diagnosis with convolutional neural network architectures: a CNN-based software for accurate cell image analysis. by Emrah ASLAN

“…The traditional method of diagnosis relies on experts examining red blood cells under a microscope and is inefficient as it is dependent on expert knowledge and experience. Nowadays, machine learning methods that provide high accuracy are increasingly used in disease detection. …”
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