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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Deep learning analysis of exercise stress electrocardiography for identification of significant coronary artery disease by Hsin-Yueh Liang, Hsin-Yueh Liang, Kai-Cheng Hsu, Kai-Cheng Hsu, Kai-Cheng Hsu, Shang-Yu Chien, Chen-Yu Yeh, Ting-Hsuan Sun, Meng-Hsuan Liu, Kee Koon Ng

“…We aimed to construct an artificial intelligence (AI)-based method to enhance ExECG performance to identify patients with significant coronary artery disease (CAD).MethodsWe retrospectively collected 818 patients who underwent both ExECG and coronary angiography (CAG) within 6 months. …”
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Identification of Gingival Inflammation Surface Image Features Using Intraoral Scanning and Deep Learning by Wei Li, Linlin Li, Wenchong Xu, Yuting Guo, Min Xu, Shengyuan Huang, Dong Dai, Chang Lu, Shuai Li, Jiang Lin

“…Conclusion: The study has successfully developed an automatic identification method for surface characteristics of gingival inflammation based on deep learning and IOS technology, providing a standardised and automated auxiliary tool for clinical gingival inflammation examination with high accuracy and significant correlation with clinical indicators. …”
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A Hybrid Deep Learning Model to Accurately Detect Anomalies in Online Social Media by Darbaz M. Hussein, Hakem Beitollahi

“…This paper proposes a hybrid model based on three famous deep learning approaches to discover the behavioral abnormalities, and negative comments in the OSM platforms. …”
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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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SELF-DIRECTED LEARNING SKILLS OF UNDERGRADUATE STUDENTS: A STUDY AT NONG LAM UNIVERSITY - HO CHI MINH CITY, VIETNAM by Nguyen Thi Kim An, Vo Van Viet*

“…The sample of 8472 students was chosen using a convenience sampling method, and data were collected through a structured questionnaire based on the Self-Directed Learning Skills Scale (SDLSS). …”
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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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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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Cross-Layer Analysis of Machine Learning Models for Secure and Energy-Efficient IoT Networks by Rashid Mustafa, Nurul I. Sarkar, Mahsa Mohaghegh, Shahbaz Pervez, Ovesh Vohra

“…Our proposed solution is based on role-based access control (RBAC), ensuring secure authentication in large-scale IoT deployments while preventing unauthorized access attempts. …”
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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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Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module by Chenrui Kang, Lin Jiao, Kang Liu, Zhigui Liu, Rujing Wang

“…However, for small-sized crop pests, recent deep-learning-based detection attempts have not accomplished accurate recognition and detection due to the challenges posed by feature extraction and positive and negative sample selection. …”
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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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Research on the double-edged sword effect of AI in middle school students’ learning applications by Liu Yuxing

“…This study used a questionnaire survey method to investigate the AI application among 129 students in order to explore the double-edged sword effect of AI in middle school students’ learning. …”
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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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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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Sentiment Analysis of National Health Security Mobile Application Review Using Machine Learning by Deta Novian Anantika Putra

“…Firstly, user reviews are extracted, preprocessing steps are applied, and machine learning-based sentiment labeling is employed afterward to categorize them into positive, neutral, and negative sentiments. …”
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Perspectives Regarding Culturally Responsive Teaching in a Mixed-Gender Online Learning Community by Nouf Alsuwaida

“…The study provided positive results for collaborative learning among students of different genders. …”
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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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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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