Feature fusion-based collaborative learning for knowledge distillation by Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou

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A Combined Model for Simulating the Spatial Dynamics of Epidemic Spread: Integrating Stochastic Compartmentalization and Cellular Automata Approach by Murad Bashabsheh

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Navigating Privacy: A Global Comparative Analysis of Data Protection Laws by Sungjin Lim, Junhyoung Oh

“…The increasing reliance on big data and artificial intelligence (AI) in the Fourth Industrial Revolution has raised significant concerns about individual privacy protection. …”
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Positive Impacts of the COVID-19 Pandemic and Public Health Measures on Healthcare by Hung Eun Hoo, Hong Chuan Loh, Alan Swee Hock Ch’ng, Fan Kee Hoo, Irene Looi

“…The world has seen an unprecedented global race in healthcare innovation and technology development in tackling the same global issue. Artificial intelligence, including robots and drones, have been rapidly developed and employed for healthcare as well as food and delivery services in order to minimise human physical contact. …”
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DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network by Yuxin Jin, Yuhan Mao, Genlang Chen

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A Computer Vision-Based Framework for Snow Removal Operation Routing by Mohamed Karaa, Hakim Ghazzai, Yehia Massoud, Lokman Sboui

“…In this paper, we present an end-to-end framework for snow removal vehicle routing based on road priority. We offer an artificial intelligence-based image-based approach for estimating snow depth and traffic volume on roads. …”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…Precise statistics on the spatial distribution of photovoltaics (PV) are essential for advancing the PV industry, and integrating remote sensing with artificial intelligence technologies offers a robust solution for accurate identification. …”
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State of health estimation of individual batteries through incremental curve analysis under parameter uncertainty by Yue Zhao, Qian Li, Xiaohui Li, Ge Zhang, Hang Shi, Qinghua Li

“…The proposed method integrates multi‐feature extraction with artificial intelligence techniques. Specifically, various Health Index sets (HIs) reflecting Incremental Capacity morphological features are extracted from the charging curves of LIBs. …”
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The Impact of AI-Enhanced Digital Marketing Strategies on Consumers’ Purchase Intention for Lifestyle Products by Ali Ghufran, Waqar Ahmad

“… The impact of Artificial intelligence (AI)-powered digital marketing practices on consumer purchase intention toward lifestyle goods is the focus of this research and aims at analyzing the mediating role of consumer motivation (CM) in the relationship between consumer attitude (CA) and purchase behavior (PB) toward lifestyle products. …”
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Expert-analytical Support of Foreign Policy Activities by A. A. Varfolomeev, O. P. Ivanov, I. V. Surma, Y. A. Trefilova

“…Given the development of artificial intelligence, generalizing information will be automatized. …”
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EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning by Waqas Ali, Wesam Alsabban, Muhammad Shahbaz, Ali Al-Laith, Bassam Almogadwy

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Monitoring, Diagnosis, and Power Forecasting for Photovoltaic Fields: A Review by S. Daliento, A. Chouder, P. Guerriero, A. Massi Pavan, A. Mellit, R. Moeini, P. Tricoli

“…Research contributions are classified into the following five macroareas: (i) electrical methods, covering monitoring/diagnosis techniques based on the direct measurement of electrical parameters, carried out, respectively, at array level, single string level, and single panel level with special consideration to data transmission methods; (ii) data analysis based on artificial intelligence; (iii) power forecasting, intended as the ability to evaluate the producible power of solar systems, with emphasis on temporal horizons of specific applications; (iv) thermal analysis, mostly with reference to thermal images captured by means of unmanned aerial vehicles; (v) power converter reliability especially focused on residual lifetime estimation. …”
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An optimal workflow scheduling in IoT-fog-cloud system for minimizing time and energy by Roqia Rateb, Ahmed Adnan Hadi, Venkata Mohit Tamanampudi, Laith Abualigah, Absalom E. Ezugwu, Ahmed Ibrahim Alzahrani, Fahad Alblehai, Heming Jia

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Designing a model of effective marketing capabilities based on communication by Yoones Banisaeed, Ghanbar Amirnejad, Morteza mousakhani, Leila Andervazh

“…The results showed that the mechanisms of artificial intelligence competencies have an effect on business-to-business marketing capabilities and organizational performance, and also the model of artificial intelligence competencies on organizational performance is confirmed by considering the aspect of business-to-business marketing capabilities. …”
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Application of IoT-Based Drones in Precision Agriculture for Pest Control by Mohamad Reda. A. Refaai, Vinjamuri SNCH Dattu, N. Gireesh, Ekta Dixit, CH. Sandeep, David Christopher

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Tactical intent-driven autonomous air combat behavior generation method by Xingyu Wang, Zhen Yang, Shiyuan Chai, Jichuan Huang, Yupeng He, Deyun Zhou

“…Abstract With the rapid development and deep application of artificial intelligence, modern air combat is incrementally evolving towards intelligent combat. …”
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Fuzzy Comprehensive Evaluation Model of Project Investment Risk Based on Computer Vision Technology by Hongjian Wang

“…Then, this paper establishes a model of fuzzy comprehensive evaluation of project investment risk through computer vision technology, real-time embedded systems, and neural network models in big data and artificial intelligence technology to realize the analysis and prediction of project investment risk. …”
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Blockchain Applications in the Military Domain: A Systematic Review by Nikos Kostopoulos, Yannis C. Stamatiou, Constantinos Halkiopoulos, Hera Antonopoulou

“…The most researched aspects are its integration with emerging technologies, such as artificial intelligence, the IoT, application in uncrewed aerial vehicles, and secure communications. …”
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E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review by Abed Mutemi, Fernando Bacao

“…However, research on fraud detection systems has struggled to keep pace due to limited real-world datasets. Advances in artificial intelligence, Machine Learning (ML), and cloud computing have revitalized research and applications in this domain. …”
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Adaptive Spatial Regularization Target Tracking Algorithm Based on Multifeature Fusion by Turdi Tohti, Xifeng Guo, Askar Hamdulla

“…The accuracy and robustness of object-tracking algorithms are challenging tasks in the field of artificial intelligence. The discriminative correlation filter has fast tracking speed and target discrimination ability in visual target tracking, but it will be affected by unnecessary boundary effects. …”
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