HFF-Net: A hybrid convolutional neural network for diabetic retinopathy screening and grading by Muhammad Hassaan Ashraf, Hamed Alghamdi

“…These findings highlight HFF-Net's potential as an efficient and effective tool in CAD systems for DR screening and grading.…”
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Hybrid pre trained model based feature extraction for enhanced indoor scene classification in federated learning environments by Monica Dutta, Deepali Gupta, Vikas Khullar, Sapna Juneja, Roobaea Alroobaea, Pooja Sapra

“…This study proposes and implements a novel MultiData model, which integrates DL with Linear Discriminant Analysis (LDA) and Federated Learning (FL) to enhance classification performance while preserving data privacy. …”
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Physicochemical mechanisms of polyethyleneimine-grafted graphene oxide in shale swelling mitigation through nanocomposite-clay interaction analysis by Abdul Hazim Abdullah, Syahrir Ridha, Dzeti Farhah Mohshim, Mohd Azuwan Maoinser

“…Abstract Efficient inhibition of water-sensitive clays is vital for improving drilling operations and mitigating shale instability. …”
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Method Development and Clinical Utility for Simultaneous Measurement of 21-Deoxycortisol, 17-Hydroxyprogesterone, Cortisol, and Cortisone Levels in Human Plasma Using UHPLC-MS/MS by Syed N. Alvi, Saleh Al dgither, Ali Al-Odaib

“…The relationship between concentration and peak area response (analyte/IS) were linear over the range of 0.25–50, 0.5–100, 1–200, and 2–400 ng/mL for 21-DOC, 17-OHP, cortisone, and cortisol, respectively. …”
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Reconstruction of Tokamak Plasma Emissivity Distribution by Approximation with Basis Functions by Tomasz Czarski, Maryna Chernyshova, Katarzyna Mikszuta-Michalik, Karol Malinowski

“…The reconstruction methodology is based on a linear model formulated using a set of predefined basis functions, which define the radiation distribution within a specified plasma cross-section. …”
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Optimized Distribution of Entanglement Graph States in Quantum Networks by Xiaojie Fan, Caitao Zhan, Himanshu Gupta, C. R. Ramakrishnan

“…In this work, we develop a hypergraph-based linear programming framework that delivers optimal (under certain assumptions) generation schemes for general multipartite entanglement represented by graph states, under the network resources, decoherence, and fidelity constraints, while considering the stochasticity of the underlying processes. …”
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Bayesian spatio-temporal disease mapping of COVID-19 cases in Bangladesh. by Sefat-E- Barket, Md Rezaul Karim, Md Sifat Ar Salan

“…<h4>Methods</h4>The study employed Bayesian spatio-temporal Poisson modeling to determine the most suitable model, including linear trend, analysis of variance (ANOVA), separable models, and Poisson temporal model for spatiotemporal effects. …”
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Analysis of Nutritional Content in Rice Seeds Based on Near-Infrared Spectroscopy by Hengyuan Kong, Jianing Wang, Guanyu Lin, Jianbo Chen, Zhitao Xie

“…To overcome these limitations, this study developed a non-destructive detection method using near-infrared spectroscopy (1000–2200 nm) combined with linear regression modeling to achieve efficient and simultaneous multi-component analysis through the principle of anharmonic molecular vibration. …”
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Global, regional, and national burden of chronic kidney disease, 1990-2021: a systematic analysis for the global burden of disease study 2021 by Kaifeng Xie, Haihong Cao, Shiyun Ling, Jiameng Zhong, Haitao Chen, Penghui Chen, Renfa Huang

“…Subsequently, stepwise multiple linear regression analysis was conducted to examine the trends in disability adjusted life years (DALYs) and DALYs rate for CKD across diverse populations between 1990 and 2021. …”
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Simultaneous Determination of Sunset Yellow FCF, Allura Red AC, Quinoline Yellow WS, and Tartrazine in Food Samples by RP-HPLC by Hakan Alp, Davut Başkan, Ahmet Yaşar, Nurettin Yaylı, Ümmühan Ocak, Miraç Ocak

“…An efficient method was developed for the simultaneous determination of Sunset Yellow FCF (E110), Allura Red AC (E129), Quinoline Yellow WS (E104), and Tartrazine (E102) in food samples by RP-HPLC. …”
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Development of an optimized deep learning model for predicting slope stability in nano silica stabilized soils by Ishwor Thapa, Sufyan Ghani, Prabhu Paramasivam, Mitiku Adare Tufa

“…Traditional methods of analysis of slope stability, such as the methods of limit equilibrium methods (LEM) and the methods of finite elements (FEM), often require extensive computational resources and effectively do not capture non-linear relations between soil stabilization and mechanisms of inclination failure. …”
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Carbon Capture and Storage (CCS) Implementation as a Method of Reducing Emissions from Coal Thermal Power Plants in Poland by Michał Kopacz, Dominika Matuszewska, Piotr Olczak

“…In order to do this in an economically efficient manner, there are aspects related to the location of power plants that would remain in operation or repower current generating units. …”
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CT-IGFBP-4 as a Predictive Novel Biomarker of Ischemic Cardiovascular Events and Mortality: A Systematic Review by Abhinav Bhattarai, Pritam Singh Sunar, Sangam Shah, Rajan Chamlagain, Nishan Babu Pokhrel, Pitambar Khanal, Sanjit Kumar Sah, Sujan Poudel, Kapil Belbase, Swati Chand, Rajaram Khanal, Anil Bhattarai

“…Sandwich ELISA using lithium-heparin plasma provided a better detection limit of 0.15 ng/ml, low cross-reactivity (<2%), and generated linear results between 12 and 500 ng/ml. Conclusion. …”
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Integrating Reverse Cycle Strategy in Circular Business Model Innovation: A Case Study by Ahmad Fatih Fudhla, Budisantoso Wirjodirdjo, Moses Laksono Singgih

“…These principles aim to facilitate a transition from linear to circular business practices, encompassing R0-Refuse, R1-Rethink, R2-Reduce, R3-Reuse, R4-Repair, R5-Refurbish, R6-Remanufacture, R7-Repurpose, R8-Recycle, and R9-Recover. …”
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Modeling and Key Parameter Interaction Analysis for Ship Central Cooling Systems by Xin Wu, Ping Zhang, Pan Su, Jiechang Wu

“…This interaction resulted in non-linear changes in system energy consumption, which were particularly prominent under operating conditions such as high power. …”
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Optimized ANN Model for Predicting Buckling Strength of Metallic Aerospace Panels Under Compressive Loading by Shahrukh Khan, Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Gyula Varga

“…The optimized model featured an eight-layer architecture (200/100/50/25/12/6/3/1 neurons), used a selu–relu–linear activation sequence, and was trained using the Nadam optimizer (learning rate = 0.0025, batch size = 8). …”
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The Reliability of Diagnosing Schizophrenia Using the GRU Layer in Conjunction with EEG Rhythms by Pankaj Kumar Sahu, Karan Jain

“…Results: The RDCGRU framework performs efficiently with alpha-EEG rhythm (88.06%) and harshly with delta-EEG rhythm (60.05%). …”
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A new approach to Health Benefits Package design: an application of the Thanzi La Onse model in Malawi. by Margherita Molaro, Sakshi Mohan, Bingling She, Martin Chalkley, Tim Colbourn, Joseph H Collins, Emilia Connolly, Matthew M Graham, Eva Janoušková, Ines Li Lin, Gerald Manthalu, Emmanuel Mnjowe, Dominic Nkhoma, Pakwanja D Twea, Andrew N Phillips, Paul Revill, Asif U Tamuri, Joseph Mfutso-Bengo, Tara D Mangal, Timothy B Hallett

“…An efficient allocation of limited resources in low-income settings offers the opportunity to improve population-health outcomes given the available health system capacity. …”
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Enzyme-Based Solid-Phase Electrochemiluminescence Sensors with Stable, Anchored Emitters for Sensitive Glucose Detection by Chunyin Wei, Yanyan Zheng, Fei Yan, Lifang Xu

“…The sensor exhibited a wide linear range from 10 μM to 7.0 mM and a limit of detection (LOD) of 1 μM (S/N = 3). …”
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Enhancing CNN-Based Signal Denoising: A Novel Metric Framework With Harmonic Suppression Through Hybrid Modeling by Omer Nacar, Turgay Koc

“…A proposed hybrid model (post-CNN linear filter) generally improved performance, particularly by mitigating harmonic issues for models like DDCAE. …”
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