Implementation of an Intelligent Trap for Effective Monitoring and Control of the <i>Aedes aegypti</i> Mosquito by Danilo Oliveira, Samuel Mafra

“…The application of machine learning (ML) algorithms and computer vision for the identification and classification of <i>Aedes aegypti</i> is a crucial part of this process. …”
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LCDDN-YOLO: Lightweight Cotton Disease Detection in Natural Environment, Based on Improved YOLOv8 by Haoran Feng, Xiqu Chen, Zhaoyan Duan

“…In summary, the LCDDN-YOLO model offers excellent detection accuracy and speed, making it effective for pest and disease control in cotton fields, particularly in lightweight computing scenarios.…”
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Wavelet-Enhanced Desnowing: A Novel Single Image Restoration Approach for Traffic Surveillance Under Adverse Weather Conditions by Zihan Shen, Yu Xuan, Qingyu Yang

“…Image restoration under adverse weather conditions refers to the process of removing degradation caused by weather particles while improving visual quality. …”
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Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization by Buti Sello, Jianming Yong, Xiaohui Tao

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Analysis of deep learning-based technological innovation governance on the intelligent allocation of innovation resources in the high-technology industry by Xiaoxuan Yu, Zhen Chen, Xinyu Zhang

“…The development of DL provides new opportunities to address the challenges of innovation resource allocation in the high-tech industry, as it can process massive datasets and uncover intricate relationships. …”
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Research on Reservoir History Matching Method Based on Real⁃Coded Genetic Algorithm and Connectivity Model by Ainiwaer AILIYAER, Chunli ZHAO, Feng LIU

“…As gradient⁃based methods face challenges in computing the gradient of the objective function, intelligent optimization algorithms with stochastic properties are widely applied in reservoir optimization processes. …”
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Enhancing hand-drawn diagram recognition through the integration of machine learning and deep learning techniques by Vanita Agrawal, MVV Prasad Kantipudi, Jayant Jagtap

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An Approach Integrating Model-Based Systems Engineering, IoT, and Digital Twin for the Design of Electric Unmanned Autonomous Vehicles by Clara A. Ramirez, Priyanshu Agrawal, Amy E. Thompson

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Unified regularity measures for sample-wise learning and generalization by Chi Zhang, Meng Yuan, Xiaoning Ma, Yu Liu, Haoang Lu, Le Wang, Yuanqi Su, Yuehu Liu

“…Abstract Fundamental machine learning theory shows that different samples contribute unequally to both the learning and testing processes. Recent studies on deep neural networks (DNNs) suggest that such sample differences are rooted in the distribution of intrinsic pattern information, namely sample regularity. …”
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A lightweight and style-robust neural network for autonomous driving in end side devices by Sheng Han, Youfang Lin, Zhihui Guo, Kai Lv

“…Due to the limitation of the computing power of end side devices, the autonomous driving algorithm should adopt a lightweight model and have high performance. …”
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Two-party cooperative blind signature based on SM2 by Xue BAI, Baodong QIN, Rui GUO, Dong ZHENG

“…SM2, issued by China in 2010, is a public key cryptography standard based on elliptic curves.It has been widely used in finance, social security and other fields thanks to its advantages of improved signature efficiency, decreased storage space and computing complexity than RSA.With the popularization and application of SM2, the issues of its key security and data privacy are of great concern.The single-key mode inhibits the potential application in multi-user settings, and the leakage of the key will threaten the security of the entire cryptosystem due to the centralization.The problem of secure storage and reasonable utilization of keys needs to be solved urgently.In addition, the SM2 digital signature algorithm cannot guarantee the message privacy.Aiming at the issues of key security and data privacy of the signature algorithm, many researchers have proposed the idea of cooperative signature and blind signature for SM2.However, there isn’t SM2 collaborative blind signature scheme proposed.Then a two-party cooperative blind signing protocol based on SM2 was proposed in this paper, which allowed two parties to sign except the user.The signing process did not require recovering the complete private key, while not revealing the information of the partial private key and secret number.The key was stored separately to improve the security of the key, while the blind signature protected the privacy of the message.In terms of security, the protocol satisfied unforgeability and unlinkability.The protocol was implemented using C to demonstrate the efficiency of each participant’s local operation.In the honest model, the time cost of each entity in the cooperative signature phase was similar as that of executing a lightweight SM2 blind signature.Overall, the proposed protocol has certain advantages in terms of function and efficiency.…”
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General Inverse Problem Solution for Two-Level Systems and Its Application to Charge Transfer by Agostino Migliore, Hiromichi Nakazato, Alessandro Sergi, Antonino Messina

“…Our formulation is proposed as a basic step towards potential uses of charge transfer in quantum computing and quantum information transfer.…”
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Beyond the hype: longitudinal trends in virtual reality perceptions beyond the COVID-19 pandemic by Christopher Ball, Kuo-Ting Huang, Jess Francis-Levin

“…The metaverse is shaped significantly by spatial computing technologies, such as virtual reality (VR). …”
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Phylogenomic approaches reveal a robust time-scale phylogeny of the Terminal Fusarium Clade by Andrés Felipe Lizcano Salas, Jorge Duitama, Silvia Restrepo, Adriana Marcela Celis Ramírez

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ALGORITHMIC AND PROGRAM IMPLEMENTATION OF THE PLAGIARISM DEFINITION IN LEARNING MANAGEMENT SYSTEMS by Y. B. Popova, A. V. Goloburda

“…The proposed modification will also speed up the calculation process, since there is no need to search for common terms for all documents. …”
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Optimized Navigation for SLAM Using Marker-Assisted Region Scanning, Path Finding, and Mapping Completion Control by Luigi Maciel Ribeiro, Nadia Nedjah, Paulo Victor Rodrigues de Carvalho

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Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUF by Alireza Shafiei, Mehrnaz Monajati

“…Further post-processing procedures are executed using MATLAB software.…”
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A fuzzy recurrent neural network for driver fatigue detection based on steering-wheel angle sensor data by Zuojin Li, Qing Yang, Shengfu Chen, Wei Zhou, Liukui Chen, Lei Song

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An Enhanced Fractional Open Circuit Voltage MPPT Method for Rapid and Precise MPP Tracking in Standalone Photovoltaic Systems by Muhannad J. Alshareef

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Blockchain: An opportunity to improve supply chains in the wake of digitalization by Liliana Rivera, Valérie Gauthier-Umaña, Chetna Chauhan

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