Refined Monitoring of Water Bodies in Built-Up Areas and Analysis and Evaluation of Water Color Characteristics in Complex Urban Backgrounds by Bin Li, Yong Xie, Zui Tao, Wen Shao, Gan Qin

“…With the rapid construction and development of cities in China, urban water environment changes and water quality monitoring face increasingly complex challenges. Water body extraction in complex urban settings is susceptible to environmental disturbances, reducing monitoring accuracy and efficiency. …”
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A new three-dimensional mesh modeling method for geological bodies containing complex faults in geological engineering by Wenli Gao, Xinming Lu, Shengzhe Hou, Tianyu Zhang, Wenting Liu

“…This strategy transforms the integration of complex three-dimensional models into a triangulation problem for simple two-dimensional polygons, ensuring topologically consistent and computationally efficient merging. …”
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TWO-PARAMETER IRT MODEL APPLICATION TO ASSESS PROBABILISTIC CHARACTERISTICS OF PROHIBITED ITEMS DETECTION BY AVIATION SECURITY SCREENERS by A. K. Volkov, D. V. Aidarkin, A. K. Volkov

“…The main drawback is the complexity of ICAO recommendations implementation concerning taking into account of shadow x-ray image complexity factors during preparation and evaluation of prohibited items detection efficiency by aviation security screeners. …”
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Hybrid Deep Learning Approach for Accurate Detection and Multiclass Classification of Broken Conductor Faults in Power Distribution Systems by Firas Saadoon Mohammed Al-Jumaili, Mustafa Onat

“…The developed CVNN framework was built with TensorFlow’s Sequential API, which provided efficient computing of complex-valued inputs and weights and, thus, the proper handling of the intricate signals often encountered in power systems. …”
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THE CONCEPT OF WELL-BEING IN SCHOOL REFLECTED IN EUROPEAN AND INTERNATIONAL DOCUMENTS by Florentina MOGONEA

“…Maintaining well-being in school is a current priority, because a stimulating, open learning environment is an important condition for the efficiency of a certain activity. The present study aims to carry out a critical analysis of the concept of wellbeing in school, as it is reflected in European and international documents, which show interest in this aspect. …”
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Reflecting on Challenges and Opportunities: Examining the Colour Economy of Innovation and Entrepreneurship by Estrada Salvador, Cabrera-Flores Mayer, León-Pozo Alicia, Cota-Cota Creta

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GhostConv+CA-YOLOv8n: a lightweight network for rice pest detection based on the aggregation of low-level features in real-world complex backgrounds by Fei Li, Yang Lu, Qiang Ma, Shuxin Yin, Rui Zhao

“…Deep learning models for rice pest detection often face performance degradation in real-world field environments due to complex backgrounds and limited computational resources. …”
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Teaching Effective Summary-Writing: A Reflection on the Efficacy of Scaffolding by Brian Raftery, Maria Zafonte

“…As Frey et al. (2003) note, being able to accurately and efficiently restate another author’s thesis is a necessary skill for research papers and academic writing. …”
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Cross-attention swin-transformer for detailed segmentation of ancient architectural color patterns by Lv Yongyin, Yu Caixia

“…Traditional approaches, including convolutional neural networks (CNNs) and standard transformer-based models, have achieved significant success; however, they often face challenges in capturing fine-grained details and maintaining efficiency across diverse datasets. These methods struggle with balancing precision and computational efficiency, especially when dealing with complex patterns and high-resolution images.MethodsTo address these limitations, we propose a novel segmentation model that integrates a hierarchical vision transformer backbone with multi-scale self-attention, cascaded attention decoding, and diffusion-based robustness enhancement. …”
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Green Hydrogen and the Energy Transition: Hopes, Challenges, and Realistic Opportunities by Alessandro Franco

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Ecological network construction and community resilience analysis of nocturnal birds: a case study of Hangzhou City, Zhejiang Province, China by Yang Jin, Mingkan Zhang, Danying Yan, Kun Li, Chao Zhou, Xi Chen

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Image processing method based on aerospace monitoring by A. I. Mitsiukhin, I. I. Pikirenya

“…In many remote sensing applications, the processing efficiency reflects the degree of reduction in the volume of transmitted, described, analyzed and stored videographic information. …”
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Orthogonal Frequency Division Multiplexing With Generalized Joint Index Modulation by Zeng Hu, Yanke Che, Jing Wang, Xuhong Peng, Chaobo He, Dehuan Wan, Yun Liu, Ting Wu

“…In this paper, we propose a generalized joint OFDM-IM scheme, which performs joint modulation on multiple subsubblocks divided from a subblock, to achieve higher spectral efficiency (SE) and lower complexity for both modulation and detection processes. …”
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A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress by Gabriel James, Ifeoma, David, John, Samuel, Enefiok, Imeh Umoren, Ubong Etuk, Aloysius, Anietie, Saviour, Chikodili

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Reuse of the Reflective Light and the Recycle Heat Energy in Concentrated Photovoltaic System by Hsin-Chien Chen, Liann-Be Chang, Ho-Thea Lin, Ming-Jer Jeng, Lee Chow

“…A complex solar unit with microcrystalline silicon solar cells placed around the centered GaAs triple junction solar cell has been proposed and carried out. …”
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Dielectric metasurfaces based on a phase singularity in the region of high reflectance by Jang Jaewon, Park Minsu, Kang Hyeonjeong, Han Gyu-Won, Cho Hui Jae, Park Yeonsang

“…These devices can manipulate the amplitude, phase, and polarization of light in versatile ways, offering complex functionalities within a single, space-efficient device. …”
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Reflection on the pharmaceutical service in nursing homes; understanding reality to cover needs by Juan F. Peris-Martí, Elia Fernández-Villalba, Patricia Bravo-José, Carmen Sáez-Lleó, María García-Mina Freire

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A Novel Approach to Classify Brain Tumor with an Effective Transfer Learning based Deep Learning Model by Hafiz Muhammad Tayyab Khushi, Tehreem Masood, Arfan Jaffar, Sheeraz Akram

“…We need an autonomous, intelligent system to detect brain cancers early and accurately. This study proposes a pre-trained EfficientNetb4 model with an adjusttable learning rate and custom callback to efficiently classify tumors. …”
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A comparative study of neural network pruning strategies for industrial applications by Amirhossein Douzandeh Zenoozi, Laura Erhan, Antonio Liotta, Lucia Cavallaro

“…IntroductionIn recent years, Deep Learning (DL) and Artificial Neural Networks (ANNs) have transformed industrial applications by providing automation in complex tasks such as anomaly detection and predictive maintenance. …”
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Highly Efficient Enrichment of Heterocyclic Aromatic Amines in Meat Products Using the Magnetic Metal—Organic Framework Fe₃O₄@MOF-545-AMSA by Yang Wang, Ying Liu, Ziyan Chen, Shan Liang

“…Heterocyclic aromatic amines (HAAs), known for their mutagenic and carcinogenic potential, are formed during the heating of protein-rich food items. Detecting HAAs swiftly and accurately poses challenges due to complex food matrices and low HAA concentrations. …”
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