Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…The objective of this work is to propose and standardize a new framework that combines a Graph Neural Network (GNN) with Hessian-based Locally Linear Embedding (HLLE) to better understand cancer metastasis in lymph nodes, while DeepLab is used to effectively segment each location. …”
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A non-linear approach to the establishment of local biological control agent  production units: a case study of fall armyworm in Bangladesh by Mariam A. T. J. Kadzamira, Malvika Chaudhary, Frances Williams, Nirmal K. Dutta

“…This study makes the case for a non-linear business model. Methods Qualitative and quantitative data from maize growing areas in Bangladesh was collected via telephone interviews from key informants representing four key stakeholders—national research institute, regional research stations, farmer producer organisations and agro-dealers. …”
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Sequential Mixed Cost-Based Multi-Sensor and Relative Dynamics Robust Fusion for Spacecraft Relative Navigation by Shoupeng Li, Weiwei Liu

“…Further, to address the problem of the estimation consistency in the iterated unscented Kalman filter, the iterated sigma point filtering framework is adopted using the statistical linear regression method. The simulation results show that, under different levels of heavy-tailed non-Gaussian noise, the mixed cost strategy can avoid the non-convex function-based filters falling into the local minimum, and further can improve the robustness of the convex function-based filter. …”
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Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions by Haider A. Mohamed-Kazim, Ahmed Hussein Shatti, Ahmed Aldhahab, Ikhlas Abdel-Qader, Sarmad K. Ibrahim, Rusul Noori Saraj

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Dual feature-based and example-based explanation methods by Andrei Konstantinov, Boris Kozlov, Stanislav Kirpichenko, Lev Utkin, Vladimir Muliukha

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Forecasting South African grain prices and assessing the non-linear impact of inflation and rainfall using a dynamic Bayesian generalized additive model by Albert Antwi, Albert Antwi, Emelia Thembile Kammies, Emelia Thembile Kammies, Lyson Chaka, Martins Akugbe Arasomwan, Martins Akugbe Arasomwan

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DETERMINATION OF RELATED IMPURITIES IN THE ANILOCAINE SUBSTANCE BY HPLC METHOD by D. R. Sabirzyanov, Yu. N. Karpenko, T. L. Malkova, I. V. Alekseeva

“…The validation procedure of the analytical methods established its specificity, linearity, precision and accuracy. …”
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YOLOv5 garbage classification method with GhostNet by Li Yao, Hu Junguo, Le Yang

“…The weighted boundary fusion method is used to improve the localization accuracy of the detection frame. …”
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Improved methods for predicting leaf area for (L. Vicia faba) by Arol M. A. WALY

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Large‐scale identification of genetic design strategies using local search by Desmond S Lun, Graham Rockwell, Nicholas J Guido, Michael Baym, Jonathan A Kelner, Bonnie Berger, James E Galagan, George M Church

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Combination of Feature Selection and Learning Methods for IoT Data Fusion by V. Sattari-Naeini, Zahra Parizi-Nejad

“…While the Re-P scheme is only capable of separating classes that are linearly separable,Re-GAPSO one is a dynamic method, appropriate for constantly changing problems of the real life. …”
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Extracutaneous Lesions in Patients with Focal Scleroderma of Craniofacial Localization: a Retrospective Cross-Sectional Study by Nikolay N. Murashkin, Alexander I. Materikin, Roman V. Epishev, Maria A. Leonova, Leonid A. Opryatin, Dmitry V. Fedorov, Roman A. Ivanov, Alena A. Savelova, Ekaterina S. Pavlova, Anastasiya U. Ufimtseva

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Two Different Methods for Numerical Solution of the Modified Burgers’ Equation by Seydi Battal Gazi Karakoç, Ali Başhan, Turabi Geyikli

“…A numerical solution of the modified Burgers’ equation (MBE) is obtained by using quartic B-spline subdomain finite element method (SFEM) over which the nonlinear term is locally linearized and using quartic B-spline differential quadrature (QBDQM) method. …”
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Artificial Intelligence Vision Methods for Robotic Harvesting of Edible Flowers by Fabio Taddei Dalla Torre, Farid Melgani, Ilaria Pertot, Cesare Furlanello

“…The developed computer vision framework utilizes YOLOv5 for 2D flower detection and leverages the zero-shot capabilities of the Segmentation Anything Model for extracting points of interest from a 3D point cloud, facilitating 3D space flower localization. Additionally, we provide a pose estimation method, a key factor in plucking point identification. …”
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Progressive Collapse Analysis of a Reinforced Concrete Structure Using the Enhanced Local Resistance (ELR) Method: A Comparison of UFC 4-023-03 and the Turkish Earthquake Code (TEC... by Saffet Kılıçer

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Locality preserving partial least squares discriminant analysis for face recognition by Muhammad Aminu, Noor Atinah Ahmad

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Indoor Dynamic Positioning Method Exploiting Passive RFID System by Gangyue Jin, Qi Liu, Yufeng Yu

“…Compared with existing RFID positioning methods, the proposed method can achieve competitive localization performance and enable high sampling frequency and fast processing on local computers, ensuring its suitability for dynamic indoor positioning applications.…”
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A Generalized Method for Rightsizing the Design of a Hybrid Microgrid by Daniel Reich

“…The benefit of this multi-solution approach is that it allows decision makers to consider vastly different possibilities, such as varying levels of renewables and battery storage, and weigh trade-offs between these potential designs before selecting one or more solutions for further detailed design planning. The proposed method is constructed as a three-step heuristic search procedure: (1) an exhaustive search identifies an initial set of candidate solutions; (2) a global binary search builds a diverse set of microgrid design options; and (3) a local linear search refines those options. …”
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Q-factor Estimation Method Based on Time-varying Wavelet by Daming GE, Jianguo SONG

“…However, because of the impact of local reflection coefficients, the logarithmic spectral ratios of seismic wavelets obtained via the time-frequency spectral ratio method often exhibit complex multi-peak patterns, deviating from the linear relationship between logarithmic spectral ratios and frequency. …”
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Dentine method: Aging white‐tailed deer by tooth measurements by Susan M. Cooper, Shane S. Sieckenius, Andrea L. Silva

“…Thus, using tooth measurements to age deer provided more accurate age estimation than visual tooth‐wear methods. The dentine method is particularly useful for deer ≥3.5 years old. …”
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