Efficacy and prognostic factors of anti-VEGF treatment for neovascular age-related macular degeneration: An OCTA imaging-based deep learning analysis by Shengnan Liu, Yuanyuan Liu, Xiaohan Wu, Haochen Wang, Ziqi Jin, Peiru Wang, Jinyu Feng, Song Chen, Wei Zhou

“…There were statistical differences in the association between the base line Vdisp of DVC (b = 0.07, t = 2.50, P = 0.014), base line intraretinal fluid (IRF) (b = 0.17, t = 2.02, P = 0.045) and base line BCVA, shown with multiple linear regression analysis. …”
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Prediction of Spectral Response for Explosion Separation Based on DeepONet by Xiaoqi Chen, Zhanlong Qu, Yuxi Wang, Zihao Chen, Ganchao Chen, Xiao Kang, Ying Li

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Designing and Training of Interactive Multimedia Software based on Meyer's learning Theory and its effect on reading comprehension skill to Non-Persian Speakers by Mahboobeh Nemati, Zari Saeedi, Reza Morad Sahraie

“…The research hypothesis posited that there would be a significant difference in learning outcomes between learners who were taught using multimedia software and those who were taught using PDF files or lectures. …”
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A Deformation Field-Based Approach for Expression Processing in Head Motion Correction by Jiaqi Zhao, Jiaxu Zheng, Qun Chen

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Development of the concept-process model and metacognition via FAR analogy-based learning approach in the topic of metabolism among second-year undergraduates by Handee Witawas, Thammaprateep Jurarat, Suwanjinda Duongdearn

“…This study aims to compare students’ ability to construct concept-process models before and after participating in analogy-based learning using the Focus-Action-Reflection (FAR) method on the topic of metabolism. …”
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Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application by Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry Korzun

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A Continuous Space Path Planning Method for Unmanned Aerial Vehicle Based on Particle Swarm Optimization-Enhanced Deep Q-Network by Le Han, Hui Zhang, Nan An

“…Additionally, we introduce a novel feature matrix as the state space for DQN, providing more accurate environmental and positional representations. Furthermore, we incorporate a mechanism into the base prioritized experience replay (PER) and N-step updates, which combines the current temporal difference error (TD-error) with historical priorities and includes a policy entropy penalty term, thereby enhancing DQN’s ability to learn long-term dependencies. …”
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Accuracy of an articulated head-and-neck motion model using deep learning-based instance segmentation of skeletal bones in CT scans for image registration in radiotherapy by Alexandra Walter, Cornelius J. Bauer, Ama Katseena Yawson, Philipp Hoegen-Saßmannshausen, Sebastian Adeberg, Jürgen Debus, Oliver Jäkel, Martin Frank, Kristina Giske

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Innovative and Interactive Technologies in Creative Product Design Education: A Review by Ioanna Nazlidou, Nikolaos Efkolidis, Konstantinos Kakoulis, Panagiotis Kyratsis

“…These technologies are primarily integrated as supportive tools throughout different stages of the design process within learning environments. This study suggests that integrating such technologies alongside pedagogical methods positively impacts education, offering numerous opportunities for further research and innovation. …”
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Three-Dimensional CKANs: UUV Noncooperative Target State Estimation Approach Based on 3D Convolutional Kolmogorov–Arnold Networks by Changjian Lin, Dan Yu, Shibo Lin

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A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow by Ilari Pajula, Niclas Joswig, Aiden Morrison, Nadia Sokolova, Laura Ruotsalainen

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Artificial Intelligence based Multi-sensor COVID-19 Screening Framework by Rakesh Chandra-Joshi, Malay Kishore-Dutta, Carlos M. Travieso

“…Instead of relying on one single method, artificial intelligence and multiple sensors based approaches can be used to decide the prediction of the health condition of the patient. …”
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Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs by Cezary Kownacki, Slawomir Romaniuk, Marcin Derlatka

“…The research’s novelty lies in applying these algorithms directly for control. A position-tracking algorithm based on the artificial potential field method generated extensive training and validation datasets, simulating the tracked point’s diverse trajectory shapes and velocities. …”
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Geo-Statistics and Deep Learning-Based Algorithm Design for Real-Time Bus Geo-Location and Arrival Time Estimation Features with Load Resiliency Capacity by Smail Tigani

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DCD-FPI: A Deformable Convolution-Based Fusion Network for Unmanned Aerial Vehicle Localization by Yufei He, Feiyang Chen, Jiahao Chen, Jiqi Fan, Enhui Zheng

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Machine learning-based pipeline for automated intracerebral hemorrhage and drain detection, quantification, and classification in non-enhanced CT images (NeuroDrAIn). by Samer Elsheikh, Ahmed Elbaz, Alexander Rau, Theo Demerath, Elias Kellner, Ralf Watzlawick, Urs Würtemberger, Horst Urbach, Marco Reisert

“…Intracerebral hemorrhage and drains were automatically segmented using a previously published artificial intelligence-based approach. From this, we calculated coverage profiles of the correctly detected drains to quantify the drains' coverage by the intracerebral hemorrhage and classify malpositioning. …”
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Assessment and Application of Acylcarnitines Summations as Auxiliary Quantization Indicator for Primary Carnitine Deficiency by Haijuan Zhi, Siyu Chang, Ting Chen, Lili Liang, Wenjuan Qiu, Huiwen Zhang, Xuefan Gu, Lianshu Han

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Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease by Hsin-I Chang, Mi-Chia Ma, Kuo-Lun Huang, Chung-Gue Huang, Shu-Hua Huang, Chi-Wei Huang, Kun-Ju Lin, Chiung-Chih Chang

“…Abstract Background and objectives Early and cost-effective identification of amyloid positivity is crucial for Alzheimer’s disease (AD) diagnosis. …”
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Embodying the “Patient” Role: How Immersive Simulation Enhances Surgical Positioning Skill Acquisition? by leila sadati, Rana Abjar, Zahra Nouri Khaneghah, Fatemeh Edalattalab, Sahar Karami

“… According to importance in correct surgical positioning on surgical outcomes by surgical team members, this study was done to evaluate the effects of simulation-based learning (SBL) on surgical technologist students’ knowledge and clinical skill in surgical positioning. …”
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Risk prediction and effect evaluation of complicated appendicitis based on XGBoost modeling by Sunmeng Chen, Jianfu Xia, Beibei Xu, Yi Huang, Miaomiao Teng, Juyi Pan

“…An integrated learning algorithm, Extreme Gradient Boosting (XGBoost), was introduced to predict the risk of CAP and compared with Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (CART) algorithms. …”
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