A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images by M. Pradeepa, B. Sharmila, M. Nirmala

“…A hybrid deep learning model is proposed, integrating EfficientNetV2 for multi-scale feature extraction with a Gated Recurrent Unit (GRU) enhanced by an attention mechanism to model sequential dependencies. …”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…The FTLMO-BILCCD technique implements a hybrid of temporal pattern attention and bidirectional gated recurrent unit (TPA-BiGRU) for classification. …”
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A hybrid ultra-short-term photovoltaic power prediction framework integrating ant colony optimization for clustering with Bi-GRU by Xinyi Liu, Zitao Wang, Yang Wang, Shanke Liu, Lijun Yu

“…Kendall’s Rank Correlation Coefficient is utilized as the core metric for feature selection to identify the optimal predictive feature subset, resulting in a 9-feature set that achieves the best predictive performance (R2 = 0.8153). Bidirectional Gated Recurrent Unit (Bi-GRU) models are independently constructed based on these scenario labels to enable scenario-adaptive predictions. …”
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Performance Estimation of Low Power and Area-Efficient Parallel Pipelined FFT by Surya P, Arunachalaperumal C, Dhilipkumar S

“…The BI multiplier design was synthesized in a field programmable gate array (FPGA), and the results show that the area efficiency could be improved by about 30 % and the power consumption and delay could be reduced by 56 %. …”
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Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks by Kenan Honore Robacky Mbongo, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, Assem Ayapbergenova

“…This study proposes a hybrid IDS model combining one-dimensional Convolutional Neural Networks (Conv1Ds), Gated Recurrent Units (GRUs), and Self-Attention mechanisms. …”
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Peculiarities of Pattern Information Transmission by Evgeniy V. Yurkevich, Lidiya N. Krukova

“…The rates of modern technologies development is such that educational programs are constantly required to be enlarged with new material. …”
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Exploring CESEE-EMU Synchronisation Patterns by Valerija Botrić, Tanja Broz

“…We introduce a specific measure of business cycle synchronisation by comparing the evolution of the growth rates in country pairs and further seek to identify determinants of these synchronisation patterns using pooled probit model. …”
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Identifying etiological pattern for postpartum complications by D. F. Kurbanova, S. G. Sultanova, F. R. Hajiyevа

“…The following parameters of the peripheral blood samples were analyzed: total leukocyte count, absolute and relative lymphocyte level, erythrocyte and platelet counts, the hemoglobin concentration, erythrocyte sedimentation rate, and quantity of serum interleukin-6 (IL-6).Results. …”
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Forecasting Green Energy Production in Latin American Countries and Canada via Temporal Fusion Transformer by Muhammad Shoaib Saleem, Javed Rashid, Sajjad Ahmad, Ali M. Al‐Shaery, Saad Althobaiti, Muhammad Faheem

“…The performance of the proposed TFT is more authentic as compared with the gated recurrent unit (GRU), the long short‐term memory (LSTM), deep autoregression (DeepAR), and the meta graph‐based convolutional recurrent network (MegaCRN). …”
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Ambulatory Melanoma Care Patterns in the United States by Andrew L. Ji, Michael R. Baze, Scott A. Davis, Steven R. Feldman, Alan B. Fleischer

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Nosocomial Legionnaires’ Disease: Clinical and Radiographic Patterns by Thomas J Marrie, David Haldane, Gregory Bezanson

“…From 1981 to 1991, 55 patients (33 males, 22 females, mean age 58.6 years) with nosocomial Legionnaires’ disease were studied. The mortality rate was 64%. One-half of the patients developed nosocomial Legionnaires’ disease within three weeks of admission. …”
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PMMA-Assisted Plasma Patterning of Graphene by Alfredo D. Bobadilla, Leonidas E. Ocola, Anirudha V. Sumant, Michael Kaminski, Jorge M. Seminario

“…The exposure time required to produce the ribbon patterns on graphene is 2 minutes. We produce graphene ribbon patterns with ∼50 nm width and integrate them into solid state and liquid gated transistor devices.…”
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Seasonal mortality patterns and regional contrasts in Portugal by Almendra Ricardo, Santana Paula, Freire Elisabete, Vasconcelos João

“…The seasonal burden was measured using the excess winter deaths (EWD) rate and the seasonal impact of winter on mortality was assessed through the EWD Index. …”
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The Impact of Illumination on Finger Vascular Pattern Recognition by Pesigrihastamadya Normakristagaluh, Geert J. Laanstra, Luuk J. Spreeuwers, Raymond N. J. Veldhuis

“…Narrower bundles of light do not affect which veins are visible, but they reduce the overexposure at finger boundaries and increase the quality of vascular pattern images. The narrow beam achieves the best performance with 0% of FNMR@FMR0.01%, and the wide beam consistently results in a higher false nonmatch rate. …”
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Effects of Neonatal Feeding Patterns on Infant Health by Shi Xiaoli, Hao Weiyan, Dandan Li

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Assessment of Occupational Accidents Pattern in Iranian Miners by M Malek, S Mohammadi, M Aghilinejad, MS Attarchi, F Rahimpour, S Alizadeh

“…All types of fractures were in second position among other patterns. Age could not variant the rate of pattern in a descriptive view. …”
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MB-MSTFNet: A Multi-Band Spatio-Temporal Attention Network for EEG Sensor-Based Emotion Recognition by Cheng Fang, Sitong Liu, Bing Gao

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Patterns of uveitis in a Philippine eye clinic by Harvey S. Uy, MD, Irene W. Tam, OD

“…Significant rates of ocular complications and blindness were found in this series, particularly among patients with panuveitis. …”
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Seasonal Temperature and Precipitation Patterns in Caucasus Landscapes by Mariam Elizbarashvili, Nazibrola Beglarashvili, Mikheil Pipia, Elizbar Elizbarashvili, Nino Chikhradze

“…Temperature trends were analyzed using linear regression, while vertical lapse rates and inversion layers were assessed based on seasonal temperature–elevation relationships. …”
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Strategic investment patterns of the medical industry in senior health by Xinyu Li, Ping Tong, Bangsen Zhu, Bangsen Zhu

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