Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow by Luca Savant Aira, Diego Valsesia, Andrea Bordone Molini, Giulia Fracastoro, Enrico Magli, Andrea Mirabile

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Dental Practitioners’ Perspectives Regarding Artificial Intelligence in Dentistry: A Cross-sectional Survey by S. K. Kokila, A. Leena Selvamary, S. G. Ramesh Kumar, A. Sujatha

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Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study by Jinzhao Cui, Ting Zhang, Yifeng Shen, Xiaoli Wang, Liuyang Yang, Xuefeng Huang, Qiang Huang, Yu Yang, Weizhong Yang, Zhongjie Li

“…Therefore, we propose a probability-based early warning system using machine learning to mitigate these limitations and to offer continuous risk estimations of alerts (0‐1 variable) instead of rigid threshold-based alerts. …”
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Designing a model for fostering organizational resilience based on organizational agility components by Heidar kadivar zinkanloo, gholamabbas shekari, saeed emamgholizadeh

“…Rather, it is a physical body of regular scientific knowledge that can be achieved by applying the scientific method. By scientific method, we mean a method that is based on discussion and research in natural phenomena. …”
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A hybrid biomass supply chain optimization approach using sequential adaptive fuzzy inference learning: Insights from a cogeneration system in Europe by Seyydeh Atefeh Mousavi Abandansari, Peiman Ghasemi, Ahmad Attar, Fariba Goodarzian, Seyedeh Asra Ahmadi

“…The proposed approach ultimately suggests meaningful scenarios that lead to the best entrepreneurial strategy selection by taking advantage of sequential adaptive fuzzy inference learning. The contributions of this paper include utilizing sequential adaptive fuzzy inference learning to determine optimal strategies for evaluating entrepreneurship, entrepreneurial strategy trade-offs with stable, stagnant, and booming market conditions, examining the biomass industry supply chain through a network of interactions using the DEMATEL approach, and applying the proposed knowledge-based system to a real-world case in the Vienna biomass supply chain. …”
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PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding by Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn

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Instruction and demonstration-based secure service attribute generation mechanism for textual data by LI Chenhao, WANG Na, LIU Aodi

“…Traditionally, the calibration of secure service attribute for textual data has been primarily reliant on human experts and machine learning methods, yet the efficiency and few-shot ability are insufficient. …”
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MCS-RF: mobile crowdsensing–based air quality estimation with random forest by Cheng Feng, Ye Tian, Xiangyang Gong, Xirong Que, Wendong Wang

“…By combining online learning and offline learning, the method based on random forest performs well in terms of time complexity and accuracy. …”
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Making It Active: A Cohort Study of a Large-Group Learning Session to Improve Nutrition-Related Knowledge and Skills for Second-Year Medical Students by Gregory W. Schneider, Julia Bisschops, Prasad Bhoite, Sabyasachi Moulik

“…To address this gap, the Florida International University Herbert Wertheim College of Medicine introduced a 2-hour, case-based active learning session on diabetes-related nutrition education. …”
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Accuracy of artificial intelligence-based segmentation in maxillofacial structures: a systematic review by Manea Alahmari, Maram Alahmari, Abdulmajeed Almuaddi, Hossam Abdelmagyd, Kumuda Rao, Zaid Hamdoon, Mohammed Alsaegh, Nallan C. S. K. Chaitanya, Shishir Shetty

“…Other metrics, such as sensitivity and precision, were variably reported, with sensitivity exceeding 90% across studies. Conclusion AI-based segmentation, particularly using deep-learning models, demonstrates high accuracy in the segmentation of dental and maxillofacial structures, comparable to expert manual segmentation. …”
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Multibody Nonrigid Structure from Motion Segmentation Based on Sparse Subspace Clustering by Wenqing Huang, Qingfeng Hu, Yaming Wang, Mingfeng Jiang

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Inner engineering is associated with perceived improvements in relationship quality, interpersonal connections, and interpersonal compassion by Nashaw Jafari, Atina Manvelian, Enas Mohamed, Akila Rayapuraju, Hibiki Orui, Sultan Alkuhaimi, Preeti Upadhyay Reed, Balachundhar Subramaniam

“…Inner Engineering (IE) is a transformative program that includes meditative and yogic practices associated with improvements in mindfulness and wellbeing.MethodsThis cross-sectional observational study enrolled participants who were already registered for the Inner Engineering program to learn Shambhavi Mahamudra Kriya, a multi-component, 21-min meditation. …”
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Gesture Recognition System Based on Time-Frequency Point Density of sEMG by Qiang Wang, Yao Chen, Chunhua Sheng, Shuaidi Song

“…And in the process of detecting the movement status of the finger, focusing on the deficiency of traditional methods in using empirical thresholds to detect the sEMG active segment, we proposed an adaptive recognition method based on time-frequency point density. …”
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Transformer-based tokenization for IoT traffic classification across diverse network environments by Firdaus Afifi, Faiz Zaki, Hazim Hanif, Nik Aqil, Nor Badrul Anuar

“…However, existing traffic classification methods, including traditional machine learning and deep learning approaches, often exhibit critical limitations, such as insufficient generalization across diverse IoT environments, dependency on extensive labelled datasets, and susceptibility to overfitting in dynamic scenarios. …”
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Label credibility correction based on cell morphological differences for cervical cells classification by Wenbo Pang, Yue Qiu, Shu Jin, Huiyan Jiang, Yi Ma

“…Noisy labels due to this reason are a great challenge for supervised learning. To address the problem caused by noisy labels, we propose a method based on label credibility correction for cervical cell images classification network. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

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Design and Construction of Multimedia Smart English Teaching Platform Based on RBF Algorithm by Qianbo Li

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Fault location and isolation technology for power grid automation based on intelligent algorithms by Qi Guo, Fuhe Wang, Suxia Cheng, Ke Wang, Yifan Zhang

“…Furthermore, FIA achieves 95% accuracy, outperforming current rule-based (89%) and heuristic (85%) methods. These findings show a significant enhancement in fault detection accuracy and isolation effectiveness, which reduces false positives and improves power grid resilience. …”
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Modeling and forecasting of TEC using subspace-based SSA-LRF-ANN model by J.R.K. Kumar Dabbakuti, Mallika Yarrakula, Dinesh Babu Vunnava, Gopi Krishna Popuri

“…Subspace-based signal processing methods are fundamentally pre-trained Artificial Neural Networks (ANN) that provide the basic structure for numerous computer vision applications and explore the most promising Earth Observation Applications (EOA). …”
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ENHANCING ENGLISH PRONUNCIATION STRESS PATTERNS THROUGH LYRIC-BASED SONG ON SPOTIFY by Marrieta Moddies Swara, Lutfia Adinda, Imam Sudarmaji

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