Recovering manifold representations via unsupervised meta-learning by Yunye Gong, Jiachen Yao, Ruyi Lian, Xiao Lin, Chao Chen, Ajay Divakaran, Yi Yao

“…However, data scarcity remains a major challenge in manifold analysis especially for data and applications with real-world complexity. To address this issue, we propose manifold representation meta-learning (MRML) based on autoencoders to recover the underlying manifold structures without uniformly or densely sampled data. …”
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Some Novel Cosine Similarity Measures Based on Complex Hesitant Fuzzy Sets and Their Applications by Ronnason Chinram, Tahir Mahmood, Ubaid Ur Rehman, Zeeshan Ali, Aiyared Iampan

“…CHFS is the mixture of hesitant fuzzy set (HFS) and CFS, which handles the complex and uncertain information in real-world issues which is compared with fuzzy sets and complex fuzzy sets. …”
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Robust adaptive optimization for sustainable water demand prediction in water distribution systems by Ke Wang, Jiayang Meng, Zhangquan Wang, Kehua Zhao, Banteng Liu

“…To validate the effectiveness of the RAOD strategy, real-world datasets from four distinct geographical regions are employed for multi-step ahead predictions. …”
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Hearing in categories and speech perception at the "cocktail party". by Gavin M Bidelman, Fallon Bernard, Kimberly Skubic

“…In separate tasks, we measured isolated phoneme categorization using two-alternative forced choice (2AFC) and visual analog scaling (VAS) tasks designed to promote more/less categorical hearing and thus test putative links between categorization and real-world speech-in-noise skills. We first show cocktail party speech recognition accuracy and speed decline with additional competing talkers and amidst forward compared to reverse maskers. …”
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European Studies by V. O. Pechatnov, E. O. Obichkina

“…Therefore, scientific and educational-methodical work at MGIMO-University has always relied on a wealth of empirical data and has been focused on the analysis of real-world phenomena and processes, acute problems of foreign countries. …”
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Addressing Healthcare Access Inequalities in South Africa: Evaluating Legislative and Human Rights Obligations and Proposing Strategies for Improvement by Mlondolozi Mvikweni

“…The study highlights discrepancies between policy intentions and real-world outcomes, with particular emphasis on systemic issues such as inadequate healthcare infrastructure and limited financial resources. …”
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Open-world disaster information identification from multimodal social media by Chen Yu, Bin Hu, Zhiguo Wang

“…It is worth noting that in real-world scenarios, sudden disaster events may differ from the training data, which may require the multimodal network to predict them as unknown classes instead of misclassifying them to known ones. …”
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An Ultrasound Prototype for Remote Hand Movement Sensing: The Finger Tapping Case by Stefano Franceschini, Maria Maddalena Autorino, Michele Ambrosanio, Vito Pascazio, Fabio Baselice

“…The system has been tested in real-world scenarios involving volunteer finger tapping sessions, demonstrating its potential for accurately measuring both tap rates and displacements.…”
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Approbation of the stochastic group virus protection model by R. Y. Sharykin

“…The goal of the work is to test the model in conditions close to the real world on the way to introducing its use in the practical environment. …”
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Part B: Innovative Data Augmentation Approach to Boost Machine Learning for Hydrodynamic Purposes—Computational Efficiency by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Eric Gubesch

“…However, studies often overlook the foundational aspects of the maritime field, leading to over-optimistic or oversimplified outputs for real-world applications. We previously highlighted the sensitivity of trained models to noise, the importance of computational efficiency, and the need for feature engineering/compactness in hydrodynamic models due to the stochastic nature of waves. …”
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Optimal location selection for digital television signal booster towers in poorly covered areas: application of the EDIS multi-criteria decision-making method by Mehdi Soltanifar

“…The method considers various cost and benefit criteria, including annual maintenance cost, tower price, signal sensitivity and boosting power, unmet quality standards, operator complexity level, and interference resistance, to determine the most suitable locations for tower placement.Findings: The application of the EDIS method to a real-world case study demonstrates significant improvements in decision-making accuracy and efficiency over existing methods, offering enhanced support for optimal decision-making in the placement of digital television signal booster towers.Originality/Value: The proposed EDIS method presents a novel multi-criteria decision-making tool that combines innovative features with advanced optimization capabilities. …”
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Correlation feature and instance weights transfer learning for cross project software defect prediction by Quanyi Zou, Lu Lu, Shaojian Qiu, Xiaowei Gu, Ziyi Cai

“…In our method, a local data gravitation between source and target domains determines instance weight, while features that are highly correlated with the learning task, uncorrelated with other features and minimizing the difference between the domains are rewarded with a higher feature weight. Experiments on 25 real‐world datasets indicate that the proposed approach outperforms the existing CPDP methods in most cases. …”
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A new clothing image retrieval algorithm based on sketch component segmentation in mobile visual sensors by Haopeng Lei, Yugen Yi, Yuhua Li, Guoliang Luo, Mingwen Wang

“…The approach is evaluated on a large, real-world clothing image dataset, and experimental results demonstrate the effectiveness and good performance of the proposed method.…”
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Public Opinion about European Researchers’ Night on Climate Change and Polar Science in Türkiye by Nasıh Sarp Ergüven, Fatma Mızıkacı, Tuğba Güner Demir, Pelin Taşkın

“…The European Researchers' Night is an annual event held across Europe on the last Friday of September, with the primary goal of promoting public recognition of scientists, disseminating information about the real-world impact of their research, inspiring young people to pursue careers in science, and raising awareness about research and innovation activities. …”
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Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques by Papis Wongchaisuwat, Pongsan Chakranon, Achitpon Yinpin, Damrongvudhi Onwimol, Kris Wonggasem

“…Our findings demonstrated the potential of this rapid and non-destructive seed vigor assessment as a practical solution for real-world seed quality control in the agricultural industry.…”
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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…This study established a comprehensive experimental framework integrating numerical simulation, scenario simulation, and real-world testing to evaluate the system through embodied intelligence. …”
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Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

“…Semantic segmentation is an important computer vision task due to its numerous real-world applications such as autonomous driving, video surveillance, medical image analysis, robotics, augmented reality, among others, and its popularity increased with the development of deep learning approaches. …”
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Surface defect detection on industrial drum rollers: Using enhanced YOLOv8n and structured light for accurate inspection. by Guofeng Qin, Qinkai Zou, Mengyan Li, Yi Deng, Peiwen Mi, Yongjian Zhu, Hao Liu

“…Future work could explore rotated bounding boxes and broader dataset diversity to enhance generalization in real-world applications.…”
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Improving ICP-Based Scanning Sonar Image Matching Performance Through Height Estimation of Feature Point Using Shaded Area by Gwonsoo Lee, Sukmin Yoon, Yeongjun Lee, Jihong Lee

“…We propose integrating these two approaches and validate the proposed algorithm through simulations, experimental basin tests, and real-world data collection, demonstrating its effectiveness.…”
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Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system by Sajida Kousar, Asma Alvi, Nasreen Kausar, Harish Garg, Seifedine Kadry, Jungeun Kim

“…The input model parameters for real-world situations are generally unpredictable, so a fuzzy multi-objective model will be developed as a way to handle it. …”
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