Scheme Analysis for Enhancing Autonomous Driving Based on Computer Vision by Chen Xinyi, Luo Binbin, Xu Ziyue

“…Thesis adopted both literature review and technical analysis, focusing on recent developments in key technologies such as image processing, hybrid convolutional neural network (CNN)-transformer models, object detection, and multi-sensor fusion. …”
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An Elliptic Curve Based Schnorr Cloud Security Model in Distributed Environment by Vinothkumar Muthurajan, Balaji Narayanasamy

“…This paper proposes a virtual machine based cloud model with Hybrid Cloud Security Algorithm (HCSA) to remove the expired content. …”
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Growth models and comparative political economy in Latin America by Nikolas Passos, Guilherme Spinato Morlin

“…Brazil and Argentina presented a hybrid growth model, with higher household consumption and government expenditure, along with exports growth. …”
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Monte Carlo Simulations in Nanomedicine: Advancing Cancer Imaging and Therapy by James C. L. Chow

“…However, emerging technologies, including hybrid modeling approaches, high-performance computing, and quantum simulation, are poised to overcome these limitations. …”
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Development of an extended topology-based lightweight cryptographic scheme for IEEE 802.15.4 wireless sensor networks by Walter Tiberti, Federica Caruso, Luigi Pomante, Marco Pugliese, Marco Santic, Fortunato Santucci

“…The proposed scheme, called topology-authenticated key scheme 2, takes advantage of hybrid cryptography to provide security in the presence of resource-constrained sensor nodes using topology-authenticated keys to provide increased robustness to the scheme itself. …”
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Game Theory Modelling for Vehicle U-Turn Behavior and Simulation Based on Cellular Automata by WenJing Wu, ZhiKang Liang, QingYu Luo, FangWu Ma

“…In order to analyze the effect of U-turn vehicle on traffic performance, the work develops a game theory-based description of drivers’ interactions in U-turn scene, considering the decision-making uncertainty. The hybrid strategy of the game is obtained. The relevant parameters of model are calibrated by collected video data in Changchun, China. …”
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Genetic Alterations in Presumptive Precursor Lesions of Breast Carcinomas by Michaela Aubele, Martin Werner, Heinz Höfler

“…In IDH lesions loss of heterozygosity (LOH) at various loci could be identified, and comparative genomic hybridization (CGH) and fluorescence in situhybridization (FISH) studies delivered evidence for DNA amplification on chromosomal region 20q13 in the early stage of IDH. …”
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“To Own or Not to Own”. Post-socialist Housing Policy, Privatism and Regimes of Vulnerability in Prague, Czech Republic by Michal Lehečka

“…Examined through individual spatialities, temporalities, and hybrid regimes of in/out and local/global the paper will discuss the post-socialist housing market.…”
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Biochar and/or Compost Applications Improve Soil Properties, Growth, and Yield of Maize Grown in Acidic Rainforest and Coastal Savannah Soils in Ghana by Albert Kobina Mensah, Kwame Agyei Frimpong

“…Additionally, combined application and single application biochar or compost additions increased the plant height, stem girth, and dry matter yields of two maize (local (“ewifompe”) and hybrid (Obaatanpa)) varieties used in the study. The study showed that biochar applied alone or in combination with compost offers the potential to enhance soil quality and improve maize yield.…”
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Feature subset evaluation method for upper limb rehabilitation training based on joint feature discernibility by Guoyu Zuo, Zhaokun Xu, Jiahao Lu, Daoxiong Gong

“…A feature subset discernibility hybrid evaluation method using Fisher score based on joint feature and support vector machine is proposed for the feature selection problem of the upper limb rehabilitation training motion of Brunnstrom 4–5 stage patients. …”
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Multimedia Tasks-Oriented Edge Computing Offloading Scheme Based on Graph Neural Network in Vehicular Networks by Yong Huang

“…Finally, the performance of the proposed scheme is validated through simulation experiments, including metrics such as model stability, subtask deployment error rate, expected energy consumption, and algorithm solution time. The proposed hybrid approach not only enhances the efficiency of resource allocation but also minimizes processing delays, ultimately contributing to improved performance in vehicular networks.…”
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A Sense of Time(ly) Seeing in DeLillo’s Later Novels by Stefania Iliescu

“…This article sets out to examine the ways in which Don DeLillo uses ekphrasis in his later novels to explore new modes of perceiving reality through screens; these perceptual modes allow readers to discover the effects produced by the hybridization of reality, and to experience how media and technological devices distort both the perception of time and experiential reality. …”
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Deep Domain Adaptation Approach Using an Improved Parallel Residual Network for Cross-Domain Bearing Fault Diagnosis by Jiezhou Huang

“…Firstly, a parallel residual block (PRB) is designed to extract critical features that can fully characterize the original signals without significantly increasing the model parameters and more attention is paid to them. Secondly, a hybrid attention mechanism (HAM) is constructed to adaptively integrate channel and spatial features to enhance fault feature information. …”
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Semiconducting Carbon Nanotube-Based Nanodevices for Monitoring the Effects of Chlorphenamine on the Activities of Intracellular Ca2+ Stores by Viet Anh Pham Ba, Ngoc Pham Van Bach, Thien Nguyen Luong, Khoa Viet Nguyen

“…We report a flexible and noninvasive method based on field-effect transistors hybridizing semiconducting single-walled carbon nanotubes for monitoring the effects of histamine on Ca2+ release from the intracellular stores of a nonexcitable cell. …”
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Deep Learning Based DDoS Attack Detection by Xu Ziyi

“…On the CICDDoS2019 dataset, which included several DDoS attack versions, the suggested model was trained and evaluated. The hybrid CNN-LSTM has extraction capabilities regarding both the spatial and temporal features of network traffic data, showing highly efficient performance. …”
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A Nonpediatric Extraosseous Ewing Sarcoma of the Pancreas: Differential Diagnosis and Therapeutic Strategies by Binoy Yohannan, Mark Feldman

“…A fluorescence in situ hybridization (FISH) assay showed a 22q12 rearrangement. …”
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Side Trip Multipath Routing Protocol for Spatial Node Failure in Data-Gathering WSNs by Keisuke Fujita, Yumi Takaki, Chikara Ohta, Hisashi Tamaki

“…We compare the ST scheme, STNC scheme, and two existing multipath protocols (i.e., H-SPREAD (Hybrid-Secure Protocol for REliable dAta Delivery) scheme and SMRP (Subbranch Multipath Routing Protocol) scheme) by means of a self-developed simulator. …”
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Comparative Study on the Harmonization of Resource- Utilization in the Case of Three Companies in the European Automotive Industry by Bogdan Cosmin GOMOI

“…The European automotive industry has faced two major challenges over the past five years, the COVID-19 pandemic and the increased competition in this business sector, respectively, following the emergence of new models, including electric and hybrid vehicles. Thus, while 2020 saw a decline in sales due to the pandemic, they began to increase again, gradually, starting with 2021, being however impeded by a shortage of semiconductors. …”
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Current Trends in Class Imbalance Learning for Software Defect Prediction by Somya R. Goyal

“…This review has uncovered that – The most pronounced datasets are Promise and NASA which are highly imbalanced in nature. Hybridization of data-sampling techniques with ensembles is effective to handle the class imbalance issue. …”
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Evaluation Method of Music Teaching Effect Based on Fusion of Deep Neural Network under the Background of Big Data by Yifan Fan

“…The research results show that the CNN and LSTM methods can better extract the three features in the evaluation of music teaching effect, and the maximum prediction error is only 2.23%. Hybrid CNN-LSTM with LSTM neural network has higher accuracy in predicting music teaching effect than single neural network technique. …”
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