A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…This paper proposes a novel WPD forecasting model based on RF-DBO-VMD feature selection and BiGRU optimized by an attention mechanism. …”
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Ferro-aluminosilicate composite generated from coal gasification fine slag for the preconcentration and adsorptive removal of selected artificial sweeteners from water by Xoliswa Cingo, Azile Nqombolo, Buhle Xakalashe, Xolisa Goso, Luthando Nyaba, Odwa Mapazi, Philiswa Nosizo Nomngongo

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Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI by Jean Haurogné, Nihala Basheer, Shareeful Islam

“…The result shows higher accuracy of 91.8 % for the vulnerability detection and model explainability outcome is highly influenced by “vulnerable”, “function”, ''mysql_tmpdir_list'', “strmov” tokens using both SHAP and LIME framework. …”
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Let ants find them: Using ants as eDNA samplers for detecting the invasive spotted lanternfly by Wei-Jiun Lin, Fang-Ling Chloe Liu, Lucie Cho, Chin-Cheng Scotty Yang

“…Compared to non-ant insects, ants exhibited higher SLF DNA concentrations, suggesting that honeydew ingestion serves as the primary eDNA source. These findings demonstrate that ants can function as efficient SLF eDNA samplers, providing a scalable and cost-effective alternative to existing SLF detection methods.…”
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Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach by Wenxuan Yao, Hui Li, Yanlin Li

“…Firstly, the regression method learns the image features of the dataset and the specific region growth threshold, and the regression function is trained by using the open-source dataset to determine the region growth threshold using the characteristics of the images included in the tests. …”
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Abstract 260: TCD Bubble test as a Screening tool for detection of Patent Foramen Ovale in Stroke by Danish Ahammed PK, Paul Alapatt, Aiswarya Raj, Ashraf VV, Shafeed Mattummal

“…Introduction Introduction & Objectives: Transcranial Doppler (TCD) ultrasound provides rapid, noninvasive, real‐time measures of cerebrovascular function. Patent Foramen Ovale (PFO) is fourfold more common in Young Stroke Patients <55 years of age, as opposed to age‐matched controls. …”
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Studying grain color diversity in the barley collection of VIR by A. Y. Glagoleva, L. A. Novokreschenov, O. Y. Shoeva, O. N. Kovaleva, E. K. Khlestkina

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Diagnostic Ability and Capacity of Optical Coherence Tomography-Angiography to Detect Retinal and Vascular Changes in Patients with Fibromyalgia by Elena Garcia-Martin, Alvaro Tello, Elisa Vilades, Javier Perez-Velilla, Beatriz Cordon, Diego Fernandez-Velasco, Javier Garcia-Campayo, Marta Puebla-Guedea, Maria Satue

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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

“…Methods: This research utilizes secondary data, specifically a retinal image dataset from the open-source Messidor database. This database comprises 1200 retinal images, each measuring 1440 × 940 pixels. …”
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SOFTWARE COMPONENT DEVELOPMENT FOR PARALLEL GATEWAYS DETECTION AND QUALITY ASSESSMENT IN BPMN MODELS USING FUZZY LOGIC by Andrii Kopp, Ľuboš Cibák, Dmytro Orlovskyi, Dmytro Kudii

“…A set of 3729 BPMN models from the Camunda open source repository was used for experimental calculations. …”
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Arlclustering: an R package for community detection in social networks based on user interaction and association rule learning by Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Tarik Agouti

“…Abstract ARLClustering is an open-source R package for community detection in social networks. …”
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Spectral wavelength range influences the performance of chemometric models estimating various foliar functional traits by Minjee Park, Lorenzo Cotrozzi, Geoffrey M. Williams, Matthew D. Ginzel, Michael V. Mickelbart, Douglass F. Jacobs, John J. Couture

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Function over form: The benefits of aspen as surrogate brood‐rearing habitat for greater sage‐grouse by Michel T. Kohl, Charles P. Sandford, Paul C. Rogers, Renee Chi, Terry A. Messmer, David K. Dahlgren

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GloFinder: AI-empowered QuPath plugin for WSI-level glomerular detection, visualization, and curation by Jialin Yue, Tianyuan Yao, Ruining Deng, Siqi Lu, Junlin Guo, Quan Liu, Juming Xiong, Mengmeng Yin, Haichun Yang, Yuankai Huo

“…Artificial intelligence (AI) has demonstrated significant success in automating the detection of glomeruli—key functional units of the kidney—from whole slide images (WSIs) in kidney pathology. …”
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Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection by Altaf S., Mehmood M. S., Imran M.

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Pequi-Derived Carbon Dots as a Fluorescence Quenching Sensor for Sensitive Detection of Fe3+ Ions by B. P. Oliveira, I. M. Sampaio, J. J. P. Oliveira, S. V. Carneiro, R. A. Antunes, P. B. A. Fechine, F. O. M. S. Abreu

“…This study presents the pequi (Caryocar coriaceum) as a new biomass source for carbon dots synthesis. The pequi almond, usually discarded, was used as the biomass precursor in one-step hydrothermal green synthesis of carbon dots. …”
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Feature engineering for fault detection and diagnosis in Power Transmission Lines using a tree-based approach by Hassan N. Noura, Zaid Allal, Ola Salman, Khaled Chahine

“…The Power Transmission Line (PTL) is a pivotal infrastructure in the efficient distribution of electrical power, connecting the source generating stations to end-point consumers. …”
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Сurrent state of clinical significance of early kidney injury markers by D. N. Khotko, A. I. Khotko, A. I. Tarasenko, A. O. Efimova

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Portable immuno nano biosensor for multiple disease detection using 3D printed SPR technologies by Aparanji Poosarla, Jagannadha Rao Mokka, Kolla Venkata Atchuta Rao, Mano Pardhavi Dasari

“…The sensor showed the highest sensitivity at 50X concentration of antigen and least at 10x concentration stating maximum and minimum values for a limit of detection. This device using this principle could has wide functionalities to detect multiple biological samples by changing the antibodies to our respective analyte over the reaction chip for multiple times with low cost.…”
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Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

“…The strength of DNNs is derived from their ability to model complex functions and to improve detection engines through deeper architecture. …”
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