A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet by Muhammad Waqas Ahmed, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz Alhammadi, Asaad Algarni, Ahmad Jalal, Jeongho Cho

“…Leveraging the power of deep learning, a DenseNet architecture achieves superior classification accuracy based on the optimized feature set. …”
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Design and implementation of an asynchronous online course-based undergraduate research experience (CURE) in computational genomics. by Seema B Plaisier, Danielle O Alarid, Joelle A Denning, Sara E Brownell, Kenneth H Buetow, Katelyn M Cooper, Melissa A Wilson

“…Scores from identical learning assessments administered before and after completion of each CURE showed significant learning gains across biology and coding course objectives. …”
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Seasonal Tree Height Dynamic Estimation Using Multi-source Remotely Sensed Data in Shenzhen by Hang Song, Xuemei Zhang, Ting Hu, Jinglei Liu, Bing Xu

“…By integrating these features with machine learning, deep learning, and optimization methods, we dynamically estimated tree heights in Shenzhen during summer and winter from 2018 to 2023 and validated seasonal and regional scalability. …”
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Multimodal heterogeneous graph fusion for automated obstructive sleep apnea-hypopnea syndrome diagnosis by Haoyu Wang, Xihe Qiu, Bin Li, Xiaoyu Tan, Jingjing Huang

“…It demonstrated superior diagnostic performance compared to conventional machine learning models and existing deep learning approaches, effectively integrating domain knowledge with data-driven learning to produce explainable representations and robust generalization capabilities, which can potentially be utilized for clinical use. …”
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The effectiveness of teaching methods for preparing teacher education students to teach road safety-related content by Silke von Beesten, André Bresges

“…The developed prototypes translated learning objectives into actionable safety measures and demonstrated potential for scalable applications. …”
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Formación universitaria e intervención social: una contribución de las técnicas gestálticas / University Education and Social Intervention: A Contribution from Gestalt Techniques... by Roser Manzanera-Ruiz, Francisco Sierra-Luque, Purificación Borrego-García

“…Abstract: he European Higher Education Area emphasizes acquisition of skills in the teaching-learning process. This involves the renovation of traditional teaching methods towards other more creative aspects of learning that emphasize the “know-how” and take into consideration the individual’s emotional and psychological dimensions. …”
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An Automatic Recognition Method of Microseismic Signals Based on S Transformation and Improved Gaussian Mixture Model by Kaikai Wang, Chun’an Tang, Ke Ma, Xintang Wang, Qiang Li

“…Field test results show that the method summarizes the characteristics of the microseismic wave which are difficult to emerge as the learning vector, and the features reflect the key features of microseismic signals well. …”
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Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification by Vinaykumar Vajjanakurike Nagaraju, Ananda Babu Jayachandra, Andrzej Stateczny, Swathi Holalu Yogesh, Raviprakash Madenur Lingaraju, Balaji Prabhu Baluvaneralu Veeranna

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Investigating the intrinsic top-down dynamics of deep generative models by Lorenzo Tausani, Alberto Testolin, Marco Zorzi

“…A popular class of hierarchical generative models is that of Deep Belief Networks (DBNs), which are energy-based deep learning architectures that can learn multiple levels of representations in a completely unsupervised way exploiting Hebbian-like learning mechanisms. …”
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Development of cognitive behavior counseling guidebook with bibliocounseling techniques to improve junior high school student academic motivation by Ni Luh Idayanti, Nyoman Dantes, I Ketut Gading, I Ketut Dharsana, Kadek Suranata

“…Learning motivation greatly affects student success in receiving lessons and greatly impacts the improvement of student learning outcomes. …”
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Analisis Kualitatif Elemen Gamifikasi dalam Games Berbasis ICT untuk Anak Usia Dini by Bayu Rima Aditya, Aldilla Iradianty, I Nyoman Darma Kotama

“…Abstract Game-based learning brings new experiences for students. The trend of using the gamification approach is increasingly in demand at all levels of education, especially for early childhood education. …”
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PENGGUNAAN SIMULASI VIRTUAL PADA PEMBELAJARAN FISIKA UNTUK MENINGKATKAN HIGHER ORDER THINKING SKILL (HOTS) SISWA : META ANALISIS by Miftahul Khirana Anisa, Niki Dian Permana P, Theresia Lidya Nova

“…The results of this study indicated that the use of virtual simulations can improve students' Higher Order Thinking Skills (HOTS) in learning physics.   Keywords : Meta-analysis, Virtual Simulation, HOTS, Physics Learning …”
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The challenges and opportunities clinical education in the context of psychological, educational and therapeutic dimensions in teaching hospital by Azizeh Barry, Azam Shahbaz

“…Abstract Background An appropriate clinical environment by providing learning opportunities, plays an important role in preparing students to apply the knowledge learned at the bedside. …”
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Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete by Fahid Aslam, Furqan Farooq, Muhammad Nasir Amin, Kaffayatullah Khan, Abdul Waheed, Arslan Akbar, Muhammad Faisal Javed, Rayed Alyousef, Hisham Alabdulijabbar

“…In this study, machine learning approaches and artificial intelligence python-based approaches have been utilized to predict the mechanical behaviour of HSC. …”
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Deep empirical neural network for optical phase retrieval over a scattering medium by Huaisheng Tu, Haotian Liu, Tuqiang Pan, Wuping Xie, Zihao Ma, Fan Zhang, Pengbai Xu, Leiming Wu, Ou Xu, Yi Xu, Yuwen Qin

“…Abstract Supervised learning, a popular tool in modern science and technology, thrives on huge amounts of labeled data. …”
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Necesidades educativas en promoción de salud en estudiantes de la Universidad Metropolitana de Ecuador by Cruz Xiomara Peraza de Aparicio, Yanetzi Loimig Arteaga Yanez, Tania Fonseca Borges

“…Sobre la herramienta <em>blended learning</em>, el 85 % de los estudiantes expresó que no la conocía, sin embargo, el 99 % mostró disposición para conocerla y utilizarla.…”
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Teacher Training Doctoral Studies Basic Parameters and Development Vectors in Russia and in the World: The Results of the Global Study of Leading Universities by E. V. Brodovskaya, A. Yu. Dombrovskaya, A. B. Shatilov, R. V. Parma

“…We compared the entry requirements, the content and organization of the doctoral studies, and the “exit” – the learning outcomes. The results of the research are the distinctive characteristics of the Russian teacher training doctoral programs and foreign doctoral programs EdD, EdLd, PhD in Education. …”
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DR-Z2AN: dual-recurrent neural network with a tri-channel attention mechanism for financial management prediction by Salem Knifo, Ahmad Alzubi

“…The integration of the incentive learning approach helps the model improve the learning parameters to get better results with the minimum error. …”
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Professionally focused vlog in pre-service foreign language teacher education by A. Melnyk

“…Its genesis is ascribed to contemporary pedagogical demands for the establishment of an enriching multimedia educational environment, envisioned to foster the augmentation of interaction; the integration of authentic online resources and tasks, inciting students to explore diverse professional and pedagogical issues; the cultivation of the skills pertinent to both independent and collaborative information gathering, transforming it into a profound learning experience that steers clear of a linear sequence in favor of a comprehensive array of sources for forging personalized learning pathways. …”
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Empirical Analysis for Improving Food Quality Using Artificial Intelligence Technology for Enhancing Healthcare Sector by S. K. UmaMaheswaran, Gaganpreet Kaur, A. Pankajam, A. Firos, Piyush Vashistha, Vikas Tripathi, Hussien Sobahi Mohammed

“…Different AI technologies such as “Machine Learning (ML),” “Neural Language Processing (NLP),” “Rule-Based Expert Systems (RESs),” “Deep Learning (DL),” and so on are used in healthcare and food industries for big “medical data” analysis. …”
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