Hybrid approach for recurrence nutcracker syndrome involving left renal vein stenting with laparoscopic stent external fixation by Mattia Mirandola, MD, Bruno Migliara, MD, Gaetano Grosso, MD, Rossella Bertoloni, MD, Andrea Griso, MD, Daniele Bissacco, MD

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Artificial neural network analysis of Jeffrey hybrid nanofluid with gyrotactic microorganisms for optimizing solar thermal collector efficiency by Anup Kumar, Bhupendra K. Sharma, Bandar Almohsen, Laura M. Pérez, Kamil Urbanowicz

“…Abstract This article investigates solar energy storage due to the Jeffrey hybrid nanofluid flow containing gyrotactic microorganisms through a porous medium for parabolic trough solar collectors. …”
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Novel Hybrid Radial-Based Neural Network Model for Predicting the Compressive Strength of Long-Term HPC Concrete by Hanlie Cheng, Shiela Kitchen, Graciela Daniels

“…In the present work, two hybrid radial base neural networks (RBFN) coupled with an arithmetic optimization algorithm (AORBFN) and an antlion optimization algorithm (ALRBFN) were developed for the prediction of compressive strength. …”
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Numerical investigation of heat and mass transfer for unsteady multiphase flow in a vented cavity filled with hybrid nanofluid by Muhammad Ashhad Shahid, Mojtaba Dayer, Muhammad Adil Sadiq, Haris Ali, Ishak Hashim

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Optimizing nanoparticle selection for enhanced oil recovery in carbonate rock using hybrid low salinity water flooding by Sunlee Han, Youngsoo Lee

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Control Strategy of Islanded AC/DC Hybrid Microgrid Power System Based on Adaptive Segmented Double-Droop by MI Yang, GU Fuyike, LI Chunxu, BAO Wei, YAN Yuehao, LIU Xiaohui, YANG Yanan

Subjects: “…ac/dc hybrid microgrid|dual-droop control|bidirectional ac/dc converter|power coordinated control…”
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A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system by Geetanjali Dei, Deepak Kumar Gupta, Binod Kumar Sahu, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

“…In summary, this paper presents an innovative TID + IDN controller optimized using a novel Coatis Optimization Algorithm within a three-area hybrid system operating in a deregulated context. …”
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A hybrid Framework for plant leaf disease detection and classification using convolutional neural networks and vision transformer by Sherihan Aboelenin, Foriaa Ahmed Elbasheer, Mohamed Meselhy Eltoukhy, Walaa M. El-Hady, Khalid M. Hosny

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A novel model of superconducting tape-based hybrid DC circuit breaker for monopolar and bipolar HVDC grid by Mojtaba Roshani Diz, Behrooz Vahidi, Hasan Rastegar

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A Hybrid Troposkein Wind Turbine with Piezoelectric Energy Harvesting Patches and Solar Panels : Design and Performance Evaluations by Naveen Dhandapani, Karthik Arul, Ganapathy Kalyanasundaram, Laxana Sourirajan, Beena Stanislaus Arputharaj, Qasem M. Al-Mdallal, Mohammad Mukhtar Alam, Balaji Ganesan, Vijayanandh Raja

“…Therefore, the utilization of hybrid energy extraction renders TWT a highly effective energy harvester.…”
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Using new control strategies to improve the effectiveness and efficiency of the hybrid power system based on the battery storage system by Karima Boutaghane, Habib Benbouhenni, Nedjoua Bennecib, Ilhami Colak, Z. M. S. Elbarbary, Saad F. Al-Gahtani

Subjects: “…Hybrid energy systems…”
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Advanced retinal disease detection from OCT images using a hybrid squeeze and excitation enhanced model. by Gülcan Gencer, Kerem Gencer

“…OCT helps ophthalmologists diagnose patients more accurately by allowing for early detection. This paper offers a hybrid SE (Squeeze-and-Excitation)-Enhanced Hybrid Model for detecting retinal disorders from OCT images, including DME, Drusen, and CNV, using artificial intelligence and deep learning.…”
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A Novel Hybrid Radial Basis Function Method for Predicting the Fresh and Hardened Properties of Self-Compacting Concrete by Zhangabay Nurlan

“…It means that the correlation between observed and predicted properties of SCC from hybrid models is acceptable so that it represents high accuracy in the training and approximating process. …”
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A case report of confirmed difficult pulmonary tuberculosis based on the hybrid capture-based tNGS method by Weiqian Chen, Huimin Chen, Ze Liu, Xinle Chi, Yaomeng Chen, Huan Ye, Wenjie Huang, Chenlei Cao, Wei Weng

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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…This study focuses on kidney stones, cysts, and tumors, the three most common types of renal illness, using a dataset of 12,446 CT urogram and whole abdomen images, aiming to move toward an AI-based kidney disease diagnosis system while contributing to the wider field of artificial intelligence research. In this study, a hybrid technique is used by utilizing both pre-train models for feature extraction and classification using machine learning algorithms for the task of kidney disease image diagnosis. …”
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Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data by Wei-Hsun Lee, Che-Yu Chang

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Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet) by Ahmed A. Mohamed, Abdullah Al-Saleh, Sunil Kumar Sharma, Ghanshyam G. Tejani

“…Furthermore, a novel “Adaptive Hybrid Exploit Detection Network (AHEDNet)” was introduced which address the dynamic ensemble adaptation issue where the accuracy of anomaly detection is very high with low false positives. …”
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Heterosis and combining ability among promising single-cross hybrids in Lilium formolongi Hort. for major growth and flowering traits by Rameshwar Rai, Jong-Hwa Kim

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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

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Enhanced Adaptive Neural-Fuzzy Inference System for Dynamic Time Series Prediction Using Self-Feedback and Hybrid Training by Andrew Topper, Honglei Yao

“…These results highlight the effectiveness of incorporating self-feedback relationships and utilizing the CCA-LSE hybrid approach in enhancing the predictive capabilities of adaptive neural-fuzzy inference systems for chaotic time series.…”
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