A Methodological Approach to Revealing the Landscape Morphology of Heijing Village Using Fractal Theory by Peiyuan Li, Shanshan Liu, Pengjun Wu, Yao Liu

“…By applying fractal theory, we quantify the spatial complexity and self-similarity of the village, uncovering underlying patterns in land use that contribute to its sustainability and historical continuity. …”
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A multi-objective fuzzy model based on enhanced artificial fish Swarm for multiple RNA sequences alignment by Medhat A. Tawfeek, Ibrahim Alrashdi, Madallah Alruwaili, Gamal Farouk Elhady

“…The efficiency is also proved by various metrics such as alignment score analysis, time complexity, and accuracy. This work demonstrates the potential of the proposed EAFSA to enhance RNA sequence alignment methods, facilitating additional biological interpretations through sequence alignment applications in genomics.…”
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Evaluation of the Emotional Impacts of the Notre Dame Cathedral Fire and Restoration on a Population Sample by Miguel Ángel Maté-González, Cristina Sáez Blázquez, Noelia Gutiérrez-Martín, Myriam Lorenzo Canales

“…The restoration process, which gained extensive media coverage, not only revived the cathedral’s architectural grandeur but also sparked international discussions about heritage conservation. Through an analysis of the questionnaire results for different factors, this study highlights the complexities of managing a monumental heritage of this magnitude in a globalized world. …”
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An Effective Off-Grid DOA Estimation Algorithm Using Difference Coarrays with Limited Snapshots by Yanan Ma, Jian Wang, Lu Cao, Pengyu Guo, Guangteng Fan

“…Moreover, most existing DOA estimation techniques exhibit a high computational complexity, limiting their practical implementation in real-time systems. …”
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Purepofo: A Cutting-Edge Tool for Comprehensive Halal and ESG Screening with Multi-Faceted Stock Performance Assessment by Hazem Hamoudia, Firdaus Fanny Putera Perdana

“…However, limitations, such as the underrepresentation of high-growth stocks and valuation complexities, highlight the need for further methodological refinement. …”
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Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework by Ruize Gao, Shaoze Cui, Yu Wang, Wei Xu

“…However, FDP tasks present several challenges, including high-dimensional datasets, class imbalances, and the complexity of parameter optimization. These issues often hinder the predictive model’s ability to accurately identify companies at high risk of financial distress. …”
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Geological object recognition in legacy maps through data augmentation and transfer learning techniques by Wenjia Li, Weilin Chen, Jiyin Zhang, Chenhao Li, Xiaogang Ma

“…The inherent diversity and complexity of geological features, combined with the labor-intensive process of manual annotation, pose significant challenges in the usage of those maps. …”
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Ensemble learning methods with single and multi-model deep learning approaches for cephalometric landmark annotation by S. Rashmi, S. Srinath, R. Rakshitha, B. V. Poornima

“…Abstract The study explores end-to-end deep learning frameworks and ensemble methods to enhance the accuracy of anatomical landmark identification in cephalometric radiographs, crucial for precise cephalometric analysis and effective orthodontic treatment planning. …”
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Real-time pH and temperature monitoring in solid-state fermentation reveals culture physiology and optimizes enzyme harvesting for tailored applications by Md Fauzul Kabir, Afranul Qader Ovi, Lu-Kwang Ju

“…However, real-time monitoring of pH and temperature in enzyme-producing solid-state fermentation (SSF) is generally regarded as challenging due to the system’s complexity, with previous studies relying primarily on sacrificial sampling for pH measurements. …”
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DETERMINATION OF THE BASIC PARAMETERS OF SENSOR DEVICES FOR THE IMPLEMENTATION OF PSYCHONEUROLOGICAL RESEARCH WITH THE INTRODUCTION OF MULTITOUCH TECHNOLOGY by Karina Selivanova, Oleg Avrunin, Nikita Kazimirov

“…Dynamic tests are adapted for any age category of participants (patients), have additional modes for individual color perception and different levels of complexity.…”
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A Compact Dual-Band Antenna for Brain–Machine Interface and Skin-Implantable Biotelemetry Applications by Emtiaz Ahmed Mainul, Md. Faruque Hossain

“…Furthermore, the link-budget analysis demonstrates the antenna’s ability to communicate with a receiver antenna positioned 8–39 m away at a high data rate of 1 Mbps to as low as 100 Kbps. …”
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Variability in Disease Severity in Siblings With Homozygous Missense Variant of ADSSL1: Clinical Genetic Study and Review of Literatures by Hui Wang, Ting Zhang, Yanming Xu, Wenhui Fan

“…Conclusion These findings suggest that mutations at the same locus can result in varying disease outcomes, emphasizing the complexity of predicting disease progression based solely on genetic mutations.…”
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Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods by Qi Sang, Chen Chen, Zeguo Shao

“…In addition, this study divided the brain regions into the left and right temporal lobes and extracted both linear and nonlinear features to comprehensively capture the complexity and dynamic behavior of EEG signals, enhancing the model’s ability to distinguish features across different brain regions. …”
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Musical expertise modulates embodied processing of biological motion and audiovisual-motor integration in rhythmic hand tapping by Alice Mado Proverbio, Matteo Valtolina

“…Stimuli varied in rhythmic complexity and frequency. Musicians significantly outperformed controls in an independent rhythmic ability test, demonstrating superior auditory-motor encoding. …”
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Perspectives and challenges in developing and implementing integrated dengue surveillance tools and technology in Thailand: a qualitative study. by Chawarat Rotejanaprasert, Peerawich Armatrmontree, Peerut Chienwichai, Richard J Maude

“…The collected interview data were systematically managed and investigated using thematic analysis to extract meaningful insights.<h4>Results</h4>The ability to collect dengue surveillance data and conduct ongoing analyses were contingent upon the availability of individuals possessing essential digital literacy and analytical skills, which were often in short supply. …”
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Object Re-Identification Based on Federated Incremental Subgradient Proximal Optimization by Li Kang, Chuanghong Zhao, Jianjun Huang

“…Additionally, it defines camera federated scenarios and dataset federated scenarios for problem modeling and analysis. Furthermore, due to the heterogeneous classifiers that clients may have, the approach intergrates personalized layers. …”
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Map geographic information road extraction method based on generative adversarial network and U-Net by Guangchun Liu, Huan He, Yun Gao, Guangbao Zhang, Tianyu Cao

“…However, due to the complexity and variability of remote sensing images, effectively extracting road information from multi-scale geographic images remains a technical challenge. …”
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The role of protected areas in the formation of a comfortable urban environment formation by G. Yu. Morozova, I. D. Debelaya

“…The PA’s specifics were determined according to the urban planning and economic development of the territory and were divided into 6 categories: natural recreational complexes, nurseries, park zones, natural monuments, nature parks and public gardens. …”
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Large Language Models in Biochemistry Education: Comparative Evaluation of Performance by Olena Bolgova, Inna Shypilova, Volodymyr Mavrych

“…They encompassed various complexity levels and were distributed across 23 distinctive topics. …”
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Fast and accurate obstacle detection based on stereo vision and deep learning by S. Badrloo, S. Badrloo

“…The ability to detect and avoid obstacles is essential for ensuring the safe and efficient navigation of mobile robots. …”
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