Estimation of Sound Speed Profiles Using a Random Forest Model with Satellite Surface Observations by Zhenyi Ou, Ke Qu, Chen Liu

“…As a result, it provided an effective integrated learning model for SSP reconstruction.…”
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Efficient Data Augmentation Methods for Crop Disease Recognition in Sustainable Environmental Systems by Saebom Lee, Sokjoon Lee

“…Geometric transformations and color space augmentation techniques are applied to validate the efficiency of deep learning models, specifically convolution and transformer models, in recognizing multiple crop diseases. …”
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Optimizing the Prediction Accuracy of Friction Capacity of Driven Piles in Cohesive Soil Using a Novel Self-Tuning Least Squares Support Vector Machine by Doddy Prayogo, Yudas Tadeus Teddy Susanto

“…The hybrid approach uses LS-SVM as a supervised-learning-based predictor to build an accurate input-output relationship of the dataset and SOS method to optimize the σ and γ parameters of the LS-SVM. …”
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Predicted Anchor Region Proposal with Balanced Feature Pyramid for License Plate Detection in Traffic Scene Images by Hoanh Nguyen

“…Recently, many deep learning-based networks have been proposed and achieved incredible success in general object detection, such as faster R-CNN, SSD, and R-FCN. …”
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Exploring Pedagogical Strategies: Integrating 21st-Century Skills in Science Classrooms by Esty Haryani, William W. Cobern, Brandy Ann-Skjold Pleasants, Marcia K. Fetters

“…The findings reveal that teachers take into account student characteristics and learning facility availability when designing 4C-integrated lesson plans. …”
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Potential Use and Limitation of Artificial Intelligence to Screen Diabetes Mellitus in Clinical Practice: A Literature Review by Aqsha Nur, Defin Yumnanisha, Sydney Tjandra, Adang Bachtiar, Dante Saksono Harbuwono

“…AI models (i.e., machine learning and deep learning) have yielded prediction performances of up to 98% in various diseases. …”
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Exploring the relationship between teacher and parent support and students’ noncognitive outcomes via Latent Profile Analysis by Yahan He, Tommy Tanu Wijaya, Akhmad Habibi, Huaqing chen, Mengfei Gao

“…Therefore, this study examined the patterns of combined teacher and parent support and their relationship with students’ noncognitive outcomes such as self-confidence, interest in learning, anxiety, attitude, and student activeness. …”
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System by Mohammad Aljanabi, Mohd Arfian Ismail, Vitaly Mezhuyev

“…ITLBO with supervised machine learning (ML) technique was used for feature subset selection (FSS). …”
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Comments on “Comparing the productive vocabularies of Grey parrots (Psittacus erithacus) and young children” by Irene M. Pepperberg

“…Moreover, the birds were acquiring a heterospecific communication code from heterospecific models whereas the children were learning a conspecific code from conspecifics; the birds’ experiences were therefore somewhat more like that of humans learning a second language without explicit instruction. …”
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A qualitative exploration of feedback experience among final-year physiotherapy students using activity theory by Alison Lupton-Smith, Nicoline Herman, Anna Schmutz

“…Abstract Background Feedback is an important part of learning, however, it often does not have the desired effect. …”
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From Behaviorism to Neoconstructivism: A Review of Educational Theories for the Development of Independence in the Conditions of Destruction by Yulia N. Koreshnikova, Pavel S. Sorokin

“…This article provides a review and analysis of the capture and recognized classical educational theories (learning theory) of behaviorism, cognitivism and constructivism regarding their opposites for solving the problems of developing abilities for independent creative action (agency). …”
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Advancements in the Application of Convolutional Neural Networks in Ultrasound Imaging for Breast Cancer Diagnosis and Treatment by An Zichen, Li Fan

“…Breast ultrasound (US) imaging technology plays a crucial role in the early diagnosis and intervention treatment of breast cancer patients. Deep learning (DL), as one of the most powerful machine learning techniques in the field of artificial intelligence (AI), has the ability to automatically select features from raw data, achieving remarkable advancements in breast US imaging. …”
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A Novel Chinese Entity Relationship Extraction Method Based on the Bidirectional Maximum Entropy Markov Model by Chengyao Lv, Deng Pan, Yaxiong Li, Jianxin Li, Zong Wang

“…Traditional methods of relationship extraction, either those proposed at the earlier times or those based on traditional machine learning and deep learning, have focused on keeping relationships and entities in their own silos: extracting relationships and entities are conducted in steps before obtaining the mappings. …”
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An Improved Stochastic Configuration Networks With Compact Structure and Parameter Adaptation by Sanyi Li, Hongyu Guan, Peng Liu, Weichao Yue, Qian Wang

“…Stochastic Configuration Networks (SCNs) perform well in machine learning and data mining tasks in complex data environments. …”
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The first geospatial dataset of irrigated fields (2020–2024) in Vojvodina (Serbia) by Mirjana Radulović, Miljana Marković, Sanja Brdar, Ioannis Athanasiadis, Gordan Mimić

“…This study’s goal is to give accessibility to our dataset which further can be explored and used for building or fine-tuning machine learning and deep learning models for the automatic detection of irrigated fields using satellite imagery.…”
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Disorder-induced enhancement of lithium-ion transport in solid-state electrolytes by Zhimin Chen, Tao Du, N. M. Anoop Krishnan, Yuanzheng Yue, Morten M. Smedskjaer

“…Here, we address this challenge by establishing and employing a deep learning potential to simulate Li3PS4 electrolyte systems with varying levels of disorder. …”
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An Improved Deep Belief Network IDS on IoT-Based Network for Traffic Systems by Rayeesa Malik, Yashwant Singh, Zakir Ahmad Sheikh, Pooja Anand, Pradeep Kumar Singh, Tewabe Chekole Workneh

“…Hence, there is a need to use an intelligent mechanism based on machine learning (ML) and deep learning (DL), to detect attacks. …”
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Factors Influencing ICT Adoption Among University Students in Morocco by Soumia El Hazzat, Yamina EL KIRAT EL ALLAME, Rdouan FAIZI

“…Higher education institutions around the world have recently begun to embrace the current global technological shift by integrating Information and Communication Technologies (ICT) in different aspects of higher education including teaching, learning and administrative management. However, integrating ICT into higher education is a complex process often hindered by numerous challenges. …”
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A Manifold-Based Dimension Reduction Algorithm Framework for Noisy Data Using Graph Sampling and Spectral Graph by Tao Yang, Dongmei Fu, Jintao Meng

“…Commonly used manifold learning methods are sensitive to noise in the data. …”
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Efektivitas Pemanfaatan Cyberspace dalam Penguatan Moderasi Beragama di Kalangan Mahasiswa Perguruan Tinggi Keagamaan Islam Swasta by Efi Tri Astuti

“…Platforms such as Zoom, Instagram, YouTube, and WhatsApp facilitated interactive learning through videos, infographics, and discussions. …”
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