Evaluation of a CNN model to map vegetation classification in a subalpine coniferous forest using UAV imagery by Weibo Shi, Xiaohan Liao, Shaoqiang Wang, Huping Ye, Dongliang Wang, Huanyin Yue, Jianli Liu

“…Overall, this study provides an efficient and cost-effective method for monitoring and protecting natural forests, serving as a reference for selecting appropriate parameters in UAV-based deep learning remote sensing.…”
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A Novel Web‐Based Approach for Monitoring Biodiversity by Rajendra Mohan Panda, Padmanava Dash, Partha Sarathi Roy

“…However, biodiversity monitoring needs improvement to handle complex datasets and their analyses. This study attempts to understand these ecological complexities quickly, efficiently, and easily. …”
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An azo substituted quinoline‐malononitrile enzyme‐activable aggregation‐induced emission nanoprobe for hypoxia imaging by Zhirong Zhu, Shichang Liu, Xupeng Wu, Qianqian Yu, Yi Duan, Shanshan Hu, Wei‐Hong Zhu, Qi Wang

“…Additionally, the nanoprobe Azo‐QM‐PN NPs can selectively image hypoxic atherosclerotic plaque tissues, showing potential for detecting atherosclerosis. …”
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Enhancing Sustainable Manufacturing in Industry 4.0: A Zero-Defect Approach Leveraging Effective Dynamic Quality Factors by Rouhollah Khakpour, Ahmad Ebrahimi, Seyed Mohammad Seyed Hosseini

“…It integrates ZDM strategies with Industry 4.0 technologies, including the Internet of Things (IoT) and machine learning, to enhance manufacturing efficiency and precision. It goes beyond the conventional approaches including process oriented, product oriented, and emerging human oriented ZDM, and identifies the effective dynamic factors on product quality. …”
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Reverse vaccinology and immunoinformatics approaches for multi-epitope vaccine design against Klebsiella pneumoniae reveal a novel vaccine target protein by Mayada M. Elfadil, Samah Omer A. Samhoon, Moaaz M. Saadaldin, Sabah A.E. Ibrahim, Ahmed Abdelghyoum M. Mohamed, Omnia H. Suliman, Osama Mohamed, Nadzirah Damiri, Mohd Firdaus-Raih, Sofia B. Mohamed, Qurashi. M. Ali

“…The construct was further optimized for mammalian expression, achieving an ideal GC content (48.27 %) and a codon adaptation index (CAI) of 1.0, facilitating efficient in silico cloning into the pcDNA3 vector. …”
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A Novel -Inspired Routing Protocol for Wireless Sensor Networks by Mingchuan Zhang, Changqiao Xu, Jianfeng Guan, Ruijuan Zheng, Qingtao Wu, Hongke Zhang

“…There is a tradeoff between routing efficiency and energy equilibrium for sensor nodes in wireless sensor networks (WSNs). …”
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Bioherbicides: revolutionizing weed management for sustainable agriculture in the era of One-health by Taqi Raza, Muhammad Farhan Qadir, Shakeel Imran, Zobia Khatoon, Muhammad Yahya Khan, Mouna Mechri, Waleed Asghar, Muhmmad Ishaq Asif Rehmani, Sergio de los Santos Villalobos, Tooba Mumtaz, Rashid Iqbal

“…To develop an effective bioherbicide, specific and complex types of interaction have been developed between targeted weeds and biological agents. …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

“…Spiking neural networks (SNNs) have significant potential for a power-efficient neuromorphic AI. However, their training is challenging since most of the learning principles known from artificial neural networks are hardly applicable. …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

“…We demonstrate that the Bayesian optimization method surpasses the traditional grid search method regarding both performance and efficiency. The BOTS-BPNN model also shows superior performance over other common machine learning models like random forest (RF). …”
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A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Ahmed Aziz

“…The proposed model utilizes a hybrid framework that combines standard and dilated convolutional networks, advanced attention mechanisms, and temporal sequence learning to address the complexities of ECG data. A parallel architecture integrates a MobileViT block for efficient spatial feature extraction and an Efficient Channel Attention (ECA) module to refine feature representations. …”
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Automated VMAT planning for short-course radiotherapy in locally advanced rectal cancer. by Qiong Zhou, Liwen Qian, Chong Shen, Xinyan Bei, Gaojie Liu, Xiaonan Sun

“…<h4>Purpose</h4>This study aims to develop a fully automated VMAT planning program for short-course radiotherapy (SCRT) in Locally Advanced Rectal Cancer (LARC) and assess its plan quality, feasibility, and efficiency.<h4>Materials and methods</h4>Thirty LARC patients who underwent short-course VMAT treatment were retrospectively selected from our institution for this study. …”
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Genome-wide association analysis of grain iron and zinc in rice grown under agroclimatic sites with contrasting soil iron status by Sonu, Amit Kumar, Vikram Jeet Singh, Prolay Kumar Bhowmick, Shekharappa Nandakumar, Sunaina Yadav, Subbaiyan Gopala Krishnan, Ranjith Kumar Ellur, Haritha Bollinedi, Ashok Kumar Singh, Kunnummal Kurungara Vinod

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Probability updating-based adaptive hybrid coding

“…To achieve the best coding efficiency,probability updating based huffman code and structured code were jointly used,and the best context model was selected according as the correlation of adjacent syntax elements. …”
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Canopy Chlorophyll Content Inversion of Mountainous Heterogeneous Grasslands Based on the Synergy of Ground Hyperspectral and Sentinel-2 Data: A New Vegetation Index Approach by Yi Zheng, Yao Wang, Tayir Aziz, Ali Mamtimin, Yang Li, Yan Liu

“…The results indicated the following: (1) DRECAVI demonstrated the highest accuracy in CCC retrieval for mountainous vegetation (R² = 0.74, RMSE = 16.79, MAE = 12.50) compared to other VIs and hybrid methods, effectively mitigating saturation effects in high biomass areas and capturing a weak bimodal distribution pattern of CCC in the montane meadow. (2) The blue band B1 enhances atmospheric correction robustness by suppressing aerosol scattering, and the red-edge band B7 overcomes the sensitivity limitations of conventional red-edge indices (such as NDVI705, CIred-edge, and NDRE), demonstrating the potential application of the synergy mechanism between the blue band and the red-edge band. (3) Although the S2BP achieved high accuracy (R² = 0.73, RMSE = 19.83, MAE = 14.71) without saturation effects and detected a bimodal distribution of CCC in the montane meadow of the study area, its algorithmic complexity hindered large-scale operational applications. …”
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On the Location of a Constrained k-Tree Facility in a Tree Network with Unreliable Edges by Abdallah W. Aboutahoun, Eman Fares

“…The time complexity of the proposed algorithm is Olkn. Examples are provided to illustrate the performance of the proposed algorithm.…”
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Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand by Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez, Sarawut Ninsawat, Jaturong Som-ard

“…Results demonstrated the high potential and excellent efficiency of the RF, utilising an extensive reference dataset and the continuous temporal monthly information of gap-filled data. …”
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Analysis of Meteorological Fluctuations and Long-Term Drought Assessment in the Southern Coasts of Iran: An Observational and Climate Modeling Approach by Seyed Hassan Alavinia, Mahdi Salmanpour, Atefeh Abkar

“…Conclusions: The analysis of the SPI (Standardized Precipitation Index) with observational data demonstrated that drought patterns in this region are complex and influenced by multiple factors, including changes in atmospheric systems, oceanic circulation patterns, and human activities. …”
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Experimental Investigation on Energy Dissipation in Diversion Tunnel at the Head of Canal by ZHONG Kun, YAN Fu-gen, GUO Jian-hua, YI Shun, LI Min-kang

“…[Objective] The flow patterns of energy dissipation inside tunnels are complex, and theoretical calculations cannot meet design requirements. …”
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Study of local inflammatory response in different clinical forms of chronic polypous rhinosinusitis by E. A. Varyushina, E. V. Bezrukova, E. V. Vorobeychikov, E. V. Kravchenko, J. V. Sukhareva, M. A. Aflitonov, A. S. Simbirtsev

“…The results obtained are essential to understanding the mechanisms of pathogenesis in various subgroups of CRSwNP, assessing severity of the disease and efficiency of the treatment applied.…”
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Study on numerical simulation of rock breaking by PDC wear teeth cutting by Maosheng CAI, Hongbo WANG, Chunjiang ZHANG, Sai LI, Shuting CHENG

“…Conclusions: The force on a cutter with excessive wear is more complex and variable, increasing the risk of fatigue failure. …”
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