Overcoming Class Imbalance in Incremental Learning Using an Elastic Weight Consolidation-Assisted Common Encoder Approach by Engin Baysal, Cüneyt Bayılmış

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Particle motion and QPOs around Euler-Heisenberg black hole immersed in cold dark matter halo by G. Mustafa, S.K. Maurya, Tayyab Naseer, Arzu Cilli, Ertan Güdekli, Assmaa Abd-Elmonem, Neissrien Alhubieshi

“…We explore the motion of particles in the vicinity of an Euler-Heisenberg black hole immersed in a cold dark matter halo, focusing on how the black hole parameters influence particle dynamics. This black hole solution is characterized by five parameters, namely, the black hole mass M, the feature radius R, the parameter ρ describing the density of the cold dark matter halo, the quantum electrodynamics parameter α, and the black hole charge Q. …”
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TLDDM: An Enhanced Tea Leaf Pest and Disease Detection Model Based on YOLOv8 by Jun Song, Youcheng Zhang, Shuo Lin, Huijie Han, Xinjian Yu

“…Initially, the C2f-Faster-EMA module is employed to reduce the number of parameters and model complexity while enhancing image feature extraction capabilities. …”
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ADULT-ONSET STILL’S DISEASE: ASPECTS OF THE HEMATOLOGY CLINIC by M. M. Agakishiev, I. I. Mulina, A. M. Popova, I. N. Nechunaeva, L. M. Maslova, I. B. Kovynev, T. I. Pospelova

“…The role of monitoring clinical and biochemical blood parameters has been proved such as: blood ferritin level, C-reactive protein, hemogram parameters. …”
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Lithium-Ion Battery Health Assessment Method Based on Double Optimization Belief Rule Base with Interpretability by Zeyang Si, Jinting Shen, Wei He

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FP-YOLOv8: Surface Defect Detection Algorithm for Brake Pipe Ends Based on Improved YOLOv8n by Ke Rao, Fengxia Zhao, Tianyu Shi

“…It reduces the model’s parameter count through its unique design. It achieves improved feature representation by adopting specific technique within its structure. …”
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YED-Net: Yoga Exercise Dynamics Monitoring with YOLOv11-ECA-Enhanced Detection and DeepSORT Tracking by Youyu Zhou, Shu Dong, Hao Sheng, Wei Ke

“…Furthermore, a Parallel Spatial Attention (PSA) mechanism is incorporated to enhance multi-target feature discrimination. These enhancements enable the model to achieve a high detection accuracy of 98.6% mAP@0.5 while maintaining low computational complexity (2.35 M parameters, 3.11 GFLOPs). …”
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Two-Stage Estimation for Ultrahigh Dimensional Sparse Quadratic Discriminant Analysis by Shengbin Zhou, Yejin Huang, Xiue Gao

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Functional state of the pancreas in adolescents with peptic ulcer of duodenum by I. S. Lembryk

“…The significant differences in indicators of fecal elastase-1 levels in the first and second groups were estimated. Coprogram parameters were not sufficiently informative, and dominant sonographic features included the pancreas head edema and increased echogenicity of the parenchyma with the presence of linear hyperechoic echoes. …”
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Lightweight Pyramidal Multi-Scale Attention Residual Network for Plant Disease Recognition by Wenjie Liu, Guoqing Wu, Han Wang, Fuji Ren

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A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

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PCPE-YOLO with a lightweight dynamically reconfigurable backbone for small object detection by Weijia Chen, Jiaming Liu, Tong Liu, Yaoming Zhuang

“…Finally, we integrate an Efficient Up-Convolution Block to sharpen decoder feature maps, enhancing small object recall with minimal computational overhead. …”
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An efficient approach on risk factor prediction related to cardiovascular disease around Kumbakonam, Tamil Nadu, India, using unsupervised machine learning techniques by K Kannan, A Menaga

“…The stability of the clusters is tested using bootstrapping cluster analysis, and the result showed that the clusters are highly stable. We have applied feature selection using principal component analysis. …”
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Low-Illumination Parking Scenario Detection Based on Image Adaptive Enhancement by Xixi Xu, Meiqi Zhang, Hao Tang, Weiye Xu, Bowen Sun, Zhu’an Zheng

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The Inverse Scattering of Three-Dimensional Inhomogeneous Steady-State Sound Field Models by Zhaoxi Sun, Wenbin Zhang, Meiling Zhao

“…Through an innovative sliced data processing strategy, the 3D reconstruction problem is decomposed into a combination of 2D problems, thereby significantly reducing the computational cost. The designed multi-channel U-Net fully utilizes the strengths of both the encoder and decoder, exhibiting strong feature extraction and spatial detail recovery capabilities. …”
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Inertial-relaxed splitting for composite monotone inclusions by Oré, Ernesto, Mahey, Philippe, Ocaña, Eladio

“…A unified setting is formalized and applied to different average maps whose corresponding fixed points are related to the solutions of the inclusion problem associated with our extended model. An interesting feature of the resulting algorithms we have designed is that they present two distinct versions with a Gauss–Seidel or a Jacobi flavor, extending in that sense former proximal ADMM methods, both including inertial and relaxation parameters. …”
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Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality by Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia, COVID-19 & Air Pollution Working Group

“…We proposed a sequence of machine learning stages: feature scaling, missing data imputation, reduction of data dimensionality via Kernel Principal Component Analysis (KPCA), and clustering with the k-means algorithm. …”
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Vehicle Re-Identification Method Based on Efficient Self-Attention CNN-Transformer and Multi-Task Learning Optimization by Yu Wang, Rui Li, Yihan Shao

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RETRACTED ARTICLE: Quadratic multiple regression model and spectral relaxation approach for carreau nanofluid inclined magnetized dipole along stagnation point geometry by Sayed M. El Din, Adil Darvesh, Assad Ayub, Tanveer Sajid, Wasim Jamshed, Mohamed R. Eid, Syed M. Hussain, Manuel Sánchez-Chero, Sheda Méndez Ancca, Johana Milagritos Ramírez Cerna, Carmen Luisa Aquije Dapozzo

“…In this study, a few other vital features are attached like the quadratic multiple regression model for Nusselt number evaluation, passive control of nanoparticles, viscus heating thermophoresis, Brownian motion, and mixed convection, etc. …”
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Improved Dual-tree Complex Wavelet Packet Transform with Application to Fault Diagnosis by She Bo, Tian Fuqing, Liang Weige

“…A approach for gearbox fault diagnosis based on the improved dual-tree complex wavelet packet transform and spectral kurtosis is presented,vibration signals of gearbox are decomposed into various frequency band signals,the spectral kurtosis is computed to determine the parameters of band pass filter and got the optimal frequency band. …”
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