Constructing the Concept of Geometric Transformation through APOS Theory: A Perspective on Learning Readiness by Nur Fauziyah, Elsa Nur Wahyunita

“…This study investigates the relationship between learning readiness and concept construction, as well as describes students’ concept construction profiles based on APOS theory. …”
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Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks by Joseph Azar, Mohammed Al Saleh, Raphaël Couturier, Hassan Noura

“…This work proposes an anomaly detection method for high-dimensional sequences based on a bidirectional LSTM autoencoder. …”
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Sex Estimation Through Orbital Measurements: A Machine Learning Approach for Forensic Science by George Triantafyllou, George G. Botis, Maria Piagkou, Konstantinos Papanastasiou, George Tsakotos, Ioannis Paschopoulos, George K. Matsopoulos, Stavroula Papadodima

“…The human skull has important landmarks that can serve as reliable sex estimation predictors. Methods: In this study, orbital measurements from 92 dried skulls, comprising 35 males and 57 females, were utilized to develop a machine-learning-based classifier for sex estimation with potential applications in forensic science. …”
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Distance Learning For Military Doctors in Crisis Situations: The DILEMMA Cross-Sectional Study Results by Nataliia Sydorova, Valerii Savytskyi, Taras Kuts

“…Methods: The data presented reflect the results of 147 trainees’ survey dedicated to their satisfaction and ways to improve distance learning component of training/retraining at UMMA during such crisis situations as pandemics and hostilities. …”
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Reinforcement Learning with Multi-Policy Movement Strategy for Weakly Supervised Temporal Sentence Grounding by Shan Jiang, Yuqiu Kong, Lihe Zhang, Baocai Yin

“…To better learn the alignment, we propose a Gaussian-based Dual-Alignment Module (GDAM) which combines the strengths of both scoring-based and reconstruction-based alignment methods, addressing the issues of negative sample bias and language bias. …”
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The Influence of Naqshbandi Thariqah Wirid Practice on the Development of Students’ Learning Character and Cognitive Skills by Razif Artnesa Facxy, Mokh. Iman Firmansyah, Risris Hari Nugraha

“… The decline in student motivation and discipline in learning after the Covid-19 pandemic has become one of the major challenges in Islamic boarding school-based educational institutions. …”
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Personalized treatment strategies for breast adenoid cystic carcinoma: A machine learning approach by Sakhr Alshwayyat, Mahmoud Bashar Abu Al Hawa, Mustafa Alshwayyat, Tala Abdulsalam Alshwayyat, Siya sawan, Ghaith Heilat, Hanan M. Hammouri, Sara Mheid, Batool Al Shweiat, Hamdah Hanifa

“…Methods: The Surveillance, Epidemiology, and End Results (SEER) database was used for this study's analysis. …”
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The Influence of Digital Learning Media Nearpod on The Motivation and Academic Achievement of Elementary School Students by Widodo Pujo Bintoro, Eges Triwahyuni, Ahmad Zaki Emyus

“…This study implies that the application of Nearpod digital learning media has a positive impact on elementary school students' motivation and learning achievement. …”
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Cultivating the Language Skills of Elementary School Students: Effective and Enjoyable Learning Styles and Strategies by Nursalim Nursalim, Ahmad Syarief, Fuji Rahayu, Tiara Trirahmayati

“…The results of the study show that learning styles and strategies based on language games, the use of picture story media, project-based literacy approaches, as well as interactive and collaborative methods contribute positively to the improvement of students’ language skills. …”
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The Effectiveness of Bioentrepreneurship Learning Using Comics on the Sub Concepts of Angiosperms for High School Students by Yuliana Putri, Ria Yulia Gloria, Asep Mulyani

“…The results showed that the creativity of the experimental class students was better than the control class, the cognitive abilities of the experimental class students improved better than the control class, and the responses of students in the experimental class were included in the strong criteria. Based on the results of the study it can be concluded that learning bioenterprenership using comics effectively increase student creativity, students' cognitive abilities, and positive response from students</p>…”
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The Influence of Naqshbandi Thariqah Wirid Practice on the Development of Students’ Learning Character and Cognitive Skills by Razif Artnesa Facxy, Mokh. Iman Firmansyah, Risris Hari Nugraha

“… The decline in student motivation and discipline in learning after the Covid-19 pandemic has become one of the major challenges in Islamic boarding school-based educational institutions. …”
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Analysis of ability to listen to descriptive text through the implementation of the learning team’s strategy student by Ruth C Paath

“…The data analysis technique is inductive based on the facts obtained in the learning process and then constructed according to its type. …”
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Investigating Clinical-Relevant Learning in the Anatomy Curriculum: Perspectives and Effectiveness for Undergraduate Medical Students by Mudan Zhang, Yan Yu, Baofei Sun, Chaolun Xiao, Jingxi Yang, Zijiang Yu, Dan Yang

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Compressive strength of nano concrete materials under elevated temperatures using machine learning by Abdullah M. Zeyad, Alaa A. Mahmoud, Alaa A. El-Sayed, Ayman M. Aboraya, Islam N. Fathy, Nikos Zygouris, Panagiotis G. Asteris, Ibrahim Saad Agwa

“…Abstract In this study, four Artificial intelligence (AI) - based machine learning models were developed to estimate the Residual compressive strength (RCS) value of concrete supported with nano additives of Nanocarbon tubes (NCTs) and Nano alumina (NAl), after exposure to elevated temperatures ranging from 200 to 800 degrees. …”
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A Predictive Model of Cardiovascular Aging by Clinical and Immunological Markers Using Machine Learning by Madina Suleimenova, Kuat Abzaliyev, Madina Mansurova, Symbat Abzaliyeva, Almagul Kurmanova, Guzel Tokhtakulinova, Akbota Bugibayeva, Diana Sundetova, Merei Abdykassymova, Ulzhas Sagalbayeva, Raushan Bitemirova, Zhadyra Yerkin

“…Therefore, in order to detect early aging in the elderly, we have developed a prognostic model based on clinical and immunological markers using machine learning. …”
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Enhancing the classification of isolated theropod teeth using machine learning: a comparative study by Carolina S. Marques, Emmanuel Dufourq, Soraia Pereira, Vanda F. Santos, Elisabete Malafaia

“…This task is further complicated by intra-class variability, which makes it ideal for automation via machine learning (ML) techniques. In this study, we compared six different ML techniques based on datasets with morphometric features used to classify isolated theropod teeth at both genus and higher taxonomic levels. …”
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Strategic integration of technology to foster students’ learning outcomes and motivation in legal English lessons by La Nguyen Binh Minh

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Application of machine learning in soil heavy metals pollution assessment in the southeastern Tibetan plateau by Yan Li, Yilong Yu, Shiyuan Ding, Wenjing Dai, Rongguang Shi, Gaoyang Cui, Xiaodong Li

“…This study applies a machine learning approach based on the self-organizing map hyper-clustering, alongside advanced methodologies such as Positive Matrix Factorization (PMF), Incremental Spatial Autocorrelation, and Bivariate Local Indicators of Spatial Association (BiLISA), to analyze the ecological risk of soil HMs in representative watersheds of the southeastern Tibetan Plateau, focusing on spatial pattern clustering, pollutant source identification, and interaction risk assessment. …”
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3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition by Binbin Wang, Tingli Su, Xuebo Jin, Jianlei Kong, Yuting Bai

“…This paper used an optimal gait recognition algorithm to improve the accuracy of gait detection. Then a learning-based moving direction determination method was proposed. …”
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Multi-model deep learning approach for the classification of kidney diseases using medical images by Waleed Obaid, Abir Hussain, Tamer Rabie, Dhafar Hamed Abd, Wathiq Mansoor

“…The proposed technique involves the use of 16 deep-learning models to obtain enhanced performance based on accuracy, recall, specificity, and precision, offering new potential for detecting kidney abnormalities. …”
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