Lightweight deep neural network for contour detection and extraction of wheat spikes in complex field environments by Xin Xu, Haiyang Zhang, Jiangchuan Lu, Ziyi Guo, Juanjuan Zhang, Jibo Yue, Hongbo Qiao, Xinming Ma

“…Ablation studies confirm LDSNet-ELA integration reduces false positives by 27.6%, while the enhanced loss function system improves small-object recall by 19.4%. …”
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Association Between Per- and Polyfluoroalkyl Substances and All-Cause Mortality in Diabetic Patients: Insights from a National Cohort Study and Toxicogenomic Analysis by Zhengxiao Wei, Jinyu Chen, Xue Mei, Yi Yu

“…Preliminary logistic regression identified three PFAS compounds (perfluorooctanoic acid [PFOA], perfluorooctane sulfonic acid [PFOS], and 2-(N-methyl-PFOSA) acetate acid [MPAH]) as significantly associated with mortality in the diabetic population. The optimal cut-off values for PFOS, PFOA, and MPAH were determined using the X-tile algorithm, and participants were categorized into high- and low-exposure groups. …”
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Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review by Habiba Njeri Ngugi, Andronicus A. Akinyelu, Absalom E. Ezugwu

“…The review method includes an in-depth analysis of algorithm performance using key metrics such as accuracy, precision, recall, and F1 score across various datasets. …”
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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…While our model is built on a typical CNN architecture, we make significant advances by using preprocessing techniques and hyperparameter tuning. …”
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High-Quality Short-Range Radar Imaging with Coprime Sampling by Yaping Wang, Tianjiao Zeng, Xu Zhan, Xiangdong Ma, Mou Wang, Jun Shi, Shunjun Wei, Xiaoling Zhang

“…Our approach is built upon three core perspectives: (1) physical sampling: we adopt a coprime pattern to form an extended sampling aperture with a structured layout, enabling effective utilization of limited channels and minimizing aperture loss; (2) signal measurement: we utilize the second-order statistics of the measured data to generate additional equivalent measurements, thus enhancing the system’s capability to capture diverse spatial information; and (3) scene reconstruction: we establish a novel forward measurement model, linking these equivalent measurements to the scene, and then formulate a sparsity-regularized optimization problem. We design a background-texture-preserving, target-enhanced resolving method based on the first-order proximal gradient algorithm to achieve robust and high-quality imaging results. …”
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Research on ecological management zoning in Jilin Province based on a human well-being framework by Baihao Zhang, Jiafu Liu, Zhenyu Zhang, Yu Zhu

“…To further delineate ecological management zones, the SC K-means clustering algorithm and the coupling coordination degree model are employed. …”
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A framework for flood risk zoning and prioritization combining maximum entropy and game theory by Ali Haghizadeh, Reza Fathiganji, Ehsan Sohrabi, Aghdas Lotfi, Leila Ghasemi

“…Variable selection was performed using the Random Forest algorithm, resulting in the identification of nine key factors influencing flood occurrence. …”
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Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin by Wen Sun, Yejin Li, Fenghong Li, Guangsen Liu, Peng Rao

“…Static cloud-sea scenes are generated using Qilu-2 and New Technology satellite images, while dynamic scenarios are simulated with our iterative fractal dimension optimization algorithm. …”
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Research of Physical and Mechanical Properties of Self-Compacting Concrete Based on Polyfractional Binder by Meiram M. Begentayev, Daniyar A. Akhmetov, Rauan E. Lukpanov, Erzhan I. Kuldeyev, Zhanar O. Zhumadilova, Tolebi Myrzaliyev, Duman S. Dyussembinov, Aigerim K. Tolegenova

“…A software and calculation complex featuring a three-dimensional modeling algorithm, Drop and Roll, was used to select the optimal composition. …”
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High-Precision Indoor Visible Light Positioning Using Deep Neural Network Based on the Bayesian Regularization With Sparse Training Point by Haiqi Zhang, Jiahe Cui, Lihui Feng, Aiying Yang, Huichao Lv, Bo Lin, Heqing Huang

“…All of the aforementioned experimental results show that the algorithm and training data optimization we proposed provide a new solution for real-time and high-accuracy positioning with the neural network.…”
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Synergistic Effects of Drivers on Spatiotemporal Changes in Carbon and Water Use Efficiency in Irrigated Cropland Ecosystems by Guangchao Li, Zhaoqin Yi, Tiantian Qian, Yuhan Chang, Hanjing Gao, Fei Yu, Liqin Han, Yayan Lu, Kangjia Zuo

“…Based on a multi-source remote sensing dataset, this study applies a trend analysis (Sen + Mann–Kendall), a dual-type randomized extraction algorithm, and an optimized XGBoost model to examine the spatiotemporal variations in cropland CWUE, including the water use efficiency of net primary production (WUE_NPP), water use efficiency of gross primary production (WUE_GPP), and carbon use efficiency (CUE) in Henan Province from 2001 to 2019. …”
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Efficient Resource Allocation and UAV Deployment in STAR-RIS and UAV-Relay Assisted Public Safety Networks for Video Transmission by Naveed Khan, Ayaz Ahmad, Abdulmalik Alwarafy, Munam Ali Shah, Abderrahmane Lakas, Muhammad Moazam Azeem

“…This optimization is subject to several constraints. The formulated optimization problem is non-convex, posing a challenge in solving it. …”
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Advancing sustainability: The impact of emerging technologies in agriculture by Ashoka Gamage, Ruchira Gangahagedara, Shyamantha Subasinghe, Jeewan Gamage, Chamini Guruge, Sera Senaratne, Thevin Randika, Chamila Rathnayake, Zammil Hameed, Terrence Madhujith, Othmane Merah

“…The integration of data analytics and machine learning algorithms is transforming supply chain management and enhancing the capabilities of predictive analytics in the context of crop diseases. …”
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Instance-based generalization for human judgments about uncertainty. by Philipp Schustek, Rubén Moreno-Bote

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Burden of chronic spontaneous urticaria in Italy through healthcare resource utilization and direct costs: a retrospective analysis of real-world using administrative healthcare da... by Giulia Ronconi, Letizia Dondi, Silvia Calabria, Leonardo Dondi, Irene Dell’Anno, Lucia Casoli, Diletta Valsecchi, Ornella Bonavita, Eustachio Nettis, Nello Martini, Carlo Piccinni

“…Conclusions During the first year following the new CSU diagnosis, a lower than recommended antihistamines dispensation while an elevated use of OCS and a low and delayed omalizumab initiation after CSU exacerbation were observed, suggesting the urgent need to optimize treatment management to limit the burden on patients and healthcare systems.…”
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Exploring the opportunities and challenges of using large language models to represent institutional agency in land system modelling by Y. Zeng, C. Brown, C. Brown, J. Raymond, M. Byari, R. Hotz, M. Rounsevell, M. Rounsevell, M. Rounsevell

“…The findings show that, while LLM agents perform better than the non-intervention scenario, they fall short of the performance achieved by optimal policy actions. …”
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Impact of a massive earthquake on adherence to antiretroviral therapy, mental health, and treatment failure among people living with HIV in Nepal. by Bharat Singh Negi, Sunil Kumar Joshi, Minato Nakazawa, Tomohiro Kotaki, Anup Bastola, Masanori Kameoka

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UAV as a Bridge: Mapping Key Rice Growth Stage with Sentinel-2 Imagery and Novel Vegetation Indices by Jianping Zhang, Rundong Zhang, Qi Meng, Yanying Chen, Jie Deng, Bingtai Chen

“…Based on the maximum relevance minimum redundancy (mRMR) algorithm, we identified an optimal subset of features that were both highly correlated with rice growth stages and mutually complementary. …”
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Penerapan Algoritma Fuzzy C Means untuk Analisis Permasalahan Simpanan Wajib Anggota Koperasi by Risma Rustiyan, Mustakim Mustakim

“…The development of cooperatives in Indonesia is currently quite rapid, On the data from Badan Pusat Statistik (BPS)  of the last 3 years updated on June 20, 2016 While mentioning the number of active cooperatives in Indonesia in 2015 as much as 150,223. …”
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YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

“…This study aims to address these challenges by proposing an improved lightweight forestry pest detection algorithm, RSD-YOLOv8, based on YOLOv8.MethodsTo improve the performance of pest detection, we introduced several modifications to the YOLOv8 architecture. …”
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