A novel asymmetric form of the power half-logistic distribution with statistical inference and real data analysis by Amal S. Hassan, Najwan Alsadat, Mohammed Elgarhy, Laxmi Prasad Sapkota, Oluwafemi Samson Balogun, Ahmed M. Gemeay

“…To be more specific, we created an innovative two-parameter lifetime model called the sine power half-logistic distribution (SPHLD) by using features from the sine-generated family of distributions. …”
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Heart Failure Prediction Based on Bootstrap Sampling and Weighted Fusion LightGBM Model by Yuanni Wang, Hong Cao

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Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning by Golam Moktader Nayeem, Mingyu Fan, Golam Moktader Daiyan

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Four-Element Meandered Sunflower MIMO Antenna for Ultra-Wideband Systems by Ijaz Ahmad, Yuhuai Liu, Fang Wang, Mian Muhamad Kamal, Parveez Shariff B. G., Nosherwan Shoaib, Hala Mostafa, Mariana Dalarsson

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Correlations Between Cognitive and Social Functioning of Schoolchildren: Study of Population Data Using methods of intellectual Analysis of heterogeneous Data by Leyla S. Namazova-Baranova, Georgiy A. Karkashadze, Elena A. Vishnyova, A. I. Molodchenko

“…The correlations between the level of cognitive activity and the individual typology of extracurricular activities (based on features of personality formation and social influence of the family) has been determined.…”
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A Novel Fractional Order Multivariate Partial Grey Model and Its Application in Natural Gas Production by Hui Li, Huiming Duan, Hongli Chen

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Application of a generative adversarial network algorithm to filling blank strips of fractures in formation microresistivity imaging images by Zhengming KANG, Chensheng WU, Guodong YANG, Disheng WU, Ruifei WANG, Xiangyu YANG, Wei GAN

“…Actual fractures were simplified using the transition boundary condition, improving the computational efficiency by avoiding multi-scale models and meeting the requirements of deep learning for substantial samples. …”
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FishermaskFormer: Lightweight Remote Sensing Scene Classification With Masked Transformer by Wei Wu, Xianbin Hu, Zhu Li, Xueliang Luo

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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…This paper presents a feature selection technique based on <inline-formula><tex-math notation="LaTeX">$\ell _{1}$</tex-math></inline-formula> regularization to select the most relevant weights of artificial neural networks (ANNs) for digital predistortion (DPD) linearization of wideband radio-frequency (RF) power amplifiers (PAs). …”
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Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning by Tao Liu, Zongbao Liu, Kejia Zhang, Chunsheng Li, Yan Zhang, Zihao Mu, Mengning Mu, Mengting Xu, Yue Zhang, Xue Li

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Beam Coefficient Prediction for Antenna Arrays Using Physics-Aware Convolutional Neural Networks by Glendyn D. King, Md Asaduzzaman Towfiq, Ali C. Gurbuz, Bedri A. Cetiner

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The role of malnutrition on outcomes of multisystem inflammatory syndrome in children (MIS-C) due to COVID-19 by Tutku Soyer, Kübra Aykaç, Gözde Özer, Yasemin Özsürekçi, H. Nursun Özcan, Kaya Yorgancı, Osman Abbasoğlu

“…Patients with MIS-C were evaluated for demographic features, anthropometric parameters, clinical findings and outcomes. …”
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U-Surf: a global 1&thinsp;km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling by Y. Cheng, L. Zhao, L. Zhao, L. Zhao, T. Chakraborty, K. Oleson, M. Demuzere, X. Liu, Y. Che, W. Liao, Y. Zhou, X. “. Li

“…Here, we present U-Surf, a first-of-its-kind 1 km resolution present-day (circa 2020) global continuous urban surface parameter dataset. Using the urban canopy model (UCM) in the Community Earth System Model as a base model for satisfying dataset requirements, U-Surf leverages the latest advances in remote sensing, machine learning, and cloud computing to provide the most relevant urban surface biophysical parameters, including radiative, morphological, and thermal properties, for UCMs at the facet and canopy level. …”
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K0-K¯0 Mixing in the Minimal Flavor-Violating Two-Higgs-Doublet Models by Natthawin Cho, Xin-Qiang Li, Fang Su, Xin Zhang

“…The two-Higgs-doublet model (2HDM), as one of the simplest extensions of the Standard Model (SM), is obtained by adding another scalar doublet to the SM and is featured by a pair of charged Higgs, which could affect many low-energy processes. …”
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Channel-shuffled transformers for cross-modality person re-identification in video by Rangwan Kasantikul, Worapan Kusakunniran, Qiang Wu, Zhiyong Wang

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A Multiscale Gradient Fusion Method for Color Image Edge Detection Using CBM3D Filtering by Zhunruo Feng, Ruomeng Shi, Yuhan Jiang, Yiming Han, Zeyang Ma, Yuheng Ren

“…Next, the vector gradients of the color image and anisotropic Gaussian directional derivatives for two scale parameters are computed. These are then averaged pixel-by-pixel to generate a refined edge strength map. …”
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High‐dimensional Bayesian optimization for metamaterial design by Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu

“…Abstract Metamaterial design, encompassing both microstructure topology selection and geometric parameter optimization, constitutes a high‐dimensional optimization problem, with computationally expensive and time‐consuming design evaluations. …”
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A Developed LSTM-Ladder-Network-Based Model for Sleep Stage Classification by Ruichen Li, Bei Wang, Tao Zhang, Takenao Sugi

“…In this research, a developed LSTM-Ladder-Network (LLN) model is proposed for automatic sleep stage classification. Several features are extracted for each epoch and combined with the following epochs to form a cross-epoch vector. …”
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Thermal transport analysis for thermally radiating entropy induced bioconvective flow of Prandtl nanomaterial by Aneeta Razaq, Tasawar Hayat, Sohail A. Khan

“…Presence of gyrotactic microorganisms and heat generation is addressed. Physical features of irreversibility analysis in hydromagnetic flow are addressed. …”
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Enhanced performance of T2SLs LWIR avalanche photodiodes with a separate AlxGa1-xSb multiplication layer by Chen Liu, Haifeng Ye, Weilin Zhao, Rong Bai, Yanli Shi

“…This advancement is attributed to the design of a separate multiplication layer with the wide bandgap material AlxGa1-xSb in the InAs/GaSb T2SLs LWIR APD, which suppresses the electric field in the absorption layer while maintaining high gain. Using computer-aided design technology, we analyzed the internal electric field values and IV characteristics under key layer parameters. …”
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