ResNet18 facial feature extraction algorithm improved based on hybrid domain attention mechanism. by Yingying Mei

“…To solve these problems, based on the improvement of adaptive boosting to improve the accuracy of face detection, the study proposes a residual network 18-layer face feature extraction algorithm based on hybrid domain attention mechanism algorithm. …”
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DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm by Ashwaq Neaman Hassan Al-Tameemi, Mahmood Mohassel Feghhi, Behzad Mozaffari Tazehkand

“…An active research topic in the array signal processing field is the direction of arrival (DOA) estimation, where establishing an efficient estimation of radio waves received from an antenna array is of great interest. …”
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PM2.5 prediction and its influencing factors in the Beijing-Tianjin-Hebei urban agglomeration using spatial temporal graph convolutional networks by Yawen Zhao

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Canola Yield Estimation Using Remotely Sensed Images and M5P Model Tree Algorithm by Ileana De los Ángeles Fallas Calderón, Muditha K. Heenkenda, Tarlok S. Sahota, Laura Segura Serrano

“…This study utilized high spatial-resolution images to estimate flower coverage and yield in experimental plots at the Lakehead University Agricultural Research Station, Thunder Bay, Canada. …”
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Safe AI for coral reefs: Benchmarking out-of-distribution detection algorithms for coral reef image surveys by Mathew Wyatt, Sharyn Hickey, Ben Radford, Manuel Gonzalez-Rivero, Nader Boutros, Nikolaus Callow, Nicole Ryan, Arjun Chennu, Mohammed Bennamoun, James Gilmour

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A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing images by Shilong Zhou, Haijin Zhou, Lei Qian

“…Abstract Detecting small objects in complex remote sensing environments presents significant challenges, including insufficient extraction of local spatial information, rigid feature fusion, and limited global feature representation. …”
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Research on Lightweight Method of Insulator Target Detection Based on Improved SSD by Bing Zeng, Yu Zhou, Dilin He, Zhihao Zhou, Shitao Hao, Kexin Yi, Zhilong Li, Wenhua Zhang, Yunmin Xie

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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

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Identification of dynamic properties of a flooded ballast layer using impact excitation technique and minimization algorithm by Ratabhat Wangtawesap, Chatpan Chintanapakdee, Chayut Ngamkhanong

“…To identify the dynamic characteristics of the ballast, a minimization algorithm is applied. The findings of this research indicate that as the water level rises, the stiffness decreases. …”
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Research on EEG signal classification of motor imagery based on AE and Transformer by Rui JIANG, Liuting SUN, Xiaoming WANG, Dapeng LI, Youyun XU

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Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed by Boyi Tang, Jingping Zhou, Chunjiang Zhao, Yuchun Pan, Yao Lu, Chang Liu, Kai Ma, Xuguang Sun, Ruifang Zhang, Xiaohe Gu

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Unifying heterogeneous hyperspectral databases for in vivo human brain cancer classification: Towards robust algorithm development by Alberto Martín-Pérez, Beatriz Martinez-Vega, Manuel Villa, Raquel Leon, Alejandro Martinez de Ternero, Himar Fabelo, Samuel Ortega, Eduardo Quevedo, Gustavo M. Callico, Eduardo Juarez, César Sanz

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Satisfaction with Research-Based Learning and Academic Performance by Big Data Analysis by Gabriela Torres-Delgado, Sofía Ramos-Pulido, Neil Hernández-Gress

“…The analyses incorporated non-conventional data science methods such as correlation analysis, principal component analysis, and unsupervised learning utilizing the Density-Based Spatial Clustering Application with Noise algorithm. …”
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A systematic literature review of the theoretical foundations of therapeutic and recuperative approaches through physiatry interventions involving prism adaptation in unilateral sp... by Roxana Bistriceanu, Aurelian Anghelescu, Gelu Onose

“…Several rehabilitative interventions have been designed to enhance or resolve USN, with prism adaptation gaining increased focus in recent years. [4] The study aims to emphasize the therapeutic effects of Prism Adaptation Therapy (PAT) in addressing Spatial Neglect (SN) following brain damage. We conducted a comprehensive literature review to assess the current state of research and the knowledge level related to the selected topic. …”
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Remote Sensing Discrimination Algorithm for Transmission Line Forest Fire Based on Fuzzy Comprehensive Evaluation Method by Bo TANG, Yaowei LI, Li YE, Li HUANG, Fating YUAN, Hao CHEN, Peng FENG

“…According to the research of the time and spatial distribution of forest fires in Guangdong Province, six hazard factors causing the occurrence of forest fires are determined, and a fuzzy comprehensive evaluation method is proposed to realize the accurate discrimination of transmission line forest fires. …”
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Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations by Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou

“…It, therefore, aims to merge cognitive neuroscience insights with advanced algorithmic methods in pursuit of an enhanced understanding and applications of emotion recognition. …”
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Random Reflectance: A New Hyperspectral Data Preprocessing Method for Improving the Accuracy of Machine Learning Algorithms by Pavel A. Dmitriev, Anastasiya A. Dmitrieva, Boris L. Kozlovsky

“…Subsequent research endeavours are anticipated to elucidate a mechanistic rationale for the RR method in conjunction with the RF and GB algorithms. …”
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High-Performance Number Theoretic Transform on GPU Through radix2-CT and 4-Step Algorithms by Alisah Ozcan, Arsalan Javeed, Erkay Savas

“…These algorithms are based on the radix-2 Cooley-Tukey (CT) and 4-Step techniques, which are rooted in classical FFT research. …”
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Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. by Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

“…Based on statistical evaluation, the NIPALS-PCA, EM-PCA, and IM imputation models proved suitable for estimating missing ETo data, with PCA imputation models in the NIPALS and EM algorithms showing the most promise. Future research should explore the effectiveness of various imputation methods in diverse climatic and geographical contexts, as well as develop new techniques considering the temporal and spatial structure of meteorological data, to advance understanding and climate prediction.…”
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Research Progress and Prospect of Green Infrastructure with Public Health Promotion Function by Tongyu LI, Junyi LIXU, Binxia XUE, Yan (USA) SONG

“…Data extraction focused on various dimensions, including specific GI types, action pathways, health outcomes, public health dimensions (physiological, psychological and social dimensions), spatial scales, and research subjects. To manage the multidimensionality of GI research, cluster analysis is performed using a Word2Vec model combined with a K-means algorithm to integrate different GI forms into a coherent classification system.ResultsThe results show that GI can be clearly divided into different categories, such as urban green spaces and parks, high-interaction spaces, trees in built-up areas, water management and biofiltration systems, community and residential greening, green roofs and facades, linear green networks, and broader macro-GI strategies. …”
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