Segment Any Leaf 3D: A Zero-Shot 3D Leaf Instance Segmentation Method Based on Multi-View Images by Yunlong Wang, Zhiyong Zhang

“…RGB image sequences captured from multiple viewpoints are used to reconstruct 3D plant point clouds via multi-view stereo. …”
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Statistical Similarity Based Change Detection for Multitemporal Remote Sensing Images by Mumu Aktar, Md. Al Mamun, Md. Ali Hossain

“…Abrupt changes are occurring in different earth surfaces due to natural disasters or man-made activities which cause damage to that place. …”
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Log-Driven Behavior Discrimination of Process Robots Using Entropy Similarity by Lu Li, Huan Fang

“…In the context of Robotic Process Automation, process robot refers to robot software corresponding to a specific process, with the ability to capture and interpret process management. It is a fact that many process robots are derived from the same base model in practical applications, and the main reasons include the inevitable and flexible adaptability of process models. …”
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Investigating Travel Flow Differences between Peak Hours with Spatial Model with Endogenous Weight Matrix Using Automatic Vehicle Identification Data by Yiwei Zhou, Zhaocheng He, Jin-Yong Chen, Linglin Ni, Jieshuang Dong

“…It is important to investigate how travel flow differs between peak hours to capture travel flow patterns and influential factors to facilitate traffic management and urban planning. …”
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THE EFFECT OF THE ACCESSIBILITY TO MENSTRUAL PRODUCTS YOUNG GIRLS' HEALTH AND EDUCATION IN NIGERIA by Doris Lami Madugu, Rosemary Onchi Daniel

“…Employing quantitative and qualitative methods of data collection, the study utilized 363 questionnaires and 10 in-depth interview which ensured the study gathered rich and robust data from young girls and women, capturing their personal experiences and struggles with menstrual hygiene management. …”
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Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints by Fenghui Lian, Yingjie Sun, Meiyu Li

“…To this end, we design auxiliary and refined constraints to optimize the energy function by supplying additional guidance in training procedure, thus promoting model’s ability to capture information. Specifically, for the auxiliary constraint, a set of convolutional structures are involved into a conventional network to act as a discriminator, then adversarial network is established. …”
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Assessing water status in rice plants in water-deficient environments using thermal imaging by Chin-Ying Yang, Yan-Ci Zhang, Ya-Ling Hou

“…Although no significant differences were observed in red-green-blue (RGB) images, physiological parameters and canopy temperature differed significantly from conventional farming when infrared thermography was used to capture rice plants in the early stages of drought. …”
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EFL TEACHERS' PERCEPTIONS OF AI'S IMPACT ON ACADEMIC INTEGRITY AND PEDAGOGY IN BANGLADESHI UNIVERSITIES by Mirajul Islam, Md. Mahadhi Hasan, Rashed Mahmud

“…This research builds on and adds to the growing literature on AI in education while capturing the Bangladeshi EFL context. Future research can be conducted on the threats of AI-integration in EFL teaching and learning.…”
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The role of mineralogical and textural complexity in the damage evolution of brittle rocks by Özge Dinç Göğüş, Elif Avşar, Kayhan Develi, Ayten Çalık

“…Thin sections were prepared from uniaxially loaded core samples at these stresses and crack patterns were captured under a polarizing microscope. The fractal box dimension method was used to quantitatively analyze the crack patterns for each rock type at each stress level. …”
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Alveolar Ridge Preservation Using Xenogeneic Collagen Matrix and Bone Allograft by Andreas O. Parashis, Charalampos J. Kalaitzakis, Dimitris N. Tatakis, Konstantinos Tosios

“…When fixed partial dentures were placed, restorations fulfilled aesthetic demands without requiring further augmentation procedures. …”
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AI-POWERED IMMERSIVE LEARNING: TRANSFORMING TERTIARY EDUCATION by Ladislava Knihová

“…It also applies to Gen Z and the ALPHA generation members, often called the "second-screen generation" since it is their nature to use multiple screens simultaneously. These young people find it challenging to filter out irrelevant stimuli - and their inability to concentrate fully impairs their study and work performance. …”

Microscopic origin of the spatial and temporal precision in biological systems by Anupam Mondal, Anatoly B. Kolomeisky

“…These observations also suggest that the stochastic coupling method captures the important aspects of molecular mechanisms of precise cellular regulation, providing a powerful new tool for more advanced investigations of complex biological phenomena.…”
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A thermodynamically consistent approach to the energy costs of quantum measurements by Camille L Latune, Cyril Elouard

“…Crucially, we do not resort to another quantum measurement to capture the emergence of objective measurement results, but rather exploit the properties of the thermal bath which redundantly records the measurement result in its degrees of freedom, naturally implementing the paradigm of quantum Darwinism. …”
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Dual Embedding Transformer Network for Hyperspectral Unmixing by Huadong Yang, Chengbi Zhang

“…With the collaboration of these two embeddings, DET-Net effectively captures complex spatial and spectral dependencies to decouple the tridimensional unmixing feature representation. …”
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Multi-task hybrid dictionary learning for vehicle classification in sensor networks by Rui Wang, Miaomiao Shen, Tao Wang, Wenming Cao

“…Extensive experiments are conducted on real data sets captured by the multiple heterogeneous sensors, and the results demonstrate that the proposed method can use the multi-feature fusion method to improve the vehicle classification accuracy, and it can learn a hybrid dictionary to make sure that the sparse coding matrix is obtained by simple linear mapping function. …”
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Spatiotemporal Traffic Flow Prediction with KNN and LSTM by Xianglong Luo, Danyang Li, Yu Yang, Shengrui Zhang

“…KNN is used to select mostly related neighboring stations with the test station and capture spatial features of traffic flow. LSTM is utilized to mine temporal variability of traffic flow, and a two-layer LSTM network is applied to predict traffic flow respectively in selected stations. …”
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Optimization and Prediction of the Mechanical Properties of Concrete with Crumb Rubber and Stainless-Steel Fibers Under Varying Temperatures by Ayman El-Zohairy, Osman Hamdy

“…Key properties like the maximum stress, strain at maximum stress, modulus of elasticity, and toughness were well captured. The findings highlight how temperature and material composition significantly affect concrete’s mechanical behavior. …”
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Detecting Attacks and Estimating States of Power Grids from Partial Observations with Machine Learning by Zheng-Meng Zhai, Mohammadamin Moradi, Ying-Cheng Lai

“…Leveraging the inherent capabilities of LSTM to handle sequential data and capture temporal dependencies, we demonstrate, using three benchmark power-grid networks, that the complete dynamical state of the whole power grid can be faithfully reconstructed and the attack can be accurately localized from limited, partial state observations even in the presence of noise. …”
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An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction by Shanchun Zhao, Xu Li

“…Due to the complex and nonlinear nature of traffic flow time series, traditional methods of prediction tasks tend to ignore the heterogeneity and long series dependencies of spatio-temporal data. …”
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A Sensitive Fluorescence Biosensor for Silver Ions (Ag+) Detection Based on C-Ag+-C Structure and Exonuclease III-Assisted Dual-Recycling Amplification by Yubin Li, Jiaming Yuan, Zexi Xu

“…Since oligo-1 involves C-C mismatches, the presence of Ag+ can be captured to form C-Ag+-C base pairs, which results in a double-helix structure with a blunt terminus. …”
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