This paper proposes a ship detection method based on contour extraction networks and minimum bounding box generation algorithms. The proposed method utilizes contour extraction networks to extract the contour of the s...
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domain adaption has been a hot topic in artificial intelligence (AI) -driven understanding tasks. Simultaneously, as a critical technology in image preprocessing, the homogenization method plays an irreplaceable role ...
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AI-generated content(AIGC) has generated widespread media attention with its innovative tools such as ChatGPT anddALL-E, indicating the emergence of a new era of AI.[3] The intense media coverage has provided ample o...
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Smart grids are faced with a range of challenges, such as the development of communication infrastructure, cybersecurity threats, data privacy, and the protection of user information, due to their complex structure. A...
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domain adaption has been a hot topic in artificial intelligence (AI) -driven understanding tasks. Simultaneously, as a critical technology in image preprocessing, the homogenization method plays an irreplaceable role ...
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ISBN:
(数字)9798350306545
ISBN:
(纸本)9798350306552
domain adaption has been a hot topic in artificial intelligence (AI) -driven understanding tasks. Simultaneously, as a critical technology in image preprocessing, the homogenization method plays an irreplaceable role in remote sensing interpretation. This paper proposes a domain adaptation method based on the Wallis homogenization algorithm to improve the reasoning performance of deep models, which is named advanced Wallis. Its core idea is to reduce the variability of intra-class features by reducing the hue difference between the source and target domains. The method was tested on three publicly available datasets and yielded an average improvement of 2.3% in Fl scores. A convenient implementation of the method is provided to make sure it does not consume additional computational resources and storage space.
This study conducts a bibliometric analysis on 4,262 works published under the title “Generative Artificial Intelligence-GAI” between 2020 and 2024, sourced from Web of Science (WoS). The analysis covers keyword clo...
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ISBN:
(数字)9798350365887
ISBN:
(纸本)9798350365894
This study conducts a bibliometric analysis on 4,262 works published under the title “Generative Artificial Intelligence-GAI” between 2020 and 2024, sourced from Web of Science (WoS). The analysis covers keyword clouds, the most frequently used terms in article titles, types of publications, fields with the highest volume of publications. The research on GAI, a rapidly growing subfield of artificial intelligence (AI), is examined, the current state is critically analyzed, andrecommendations are provided concerning the opportunities and threats in the responsible development of AI.
As a basic research of natural language processing, word sense disambiguation (WSd) has a very important influence on machine translation, classification tasks, retrieval tasks, etc. In order to solve the problem that...
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Ensuring safety in smart buildings is crucial due to the increasing prevalence of smoke and fire hazards in modern environments. This paper introduces a novel privacy-preserving FL approach based on a CNN1d for smoke ...
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Sedimentary process research is of great significance for understanding the distribution and characteristics of *** the detailed observation and measurement of the Sangyuan outcrop in Luanping Basin,this paper studies...
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Sedimentary process research is of great significance for understanding the distribution and characteristics of *** the detailed observation and measurement of the Sangyuan outcrop in Luanping Basin,this paper studies the depositional process of the hyperpycnal flow deposits,anddivides theirdepositional process into three phases,namely,acceleration,erosion and *** the acceleration phase,hyperpycnal flow begins to enter the basin nearby,and then speeds up *** developed in the acceleration phase are *** addition,the original deposits become unstable and are taken away by hyperpycnal flows under the eroding *** a result,there are a lot of mixture of red mud pebbles outside the basin and gray mud pebbles within the *** the erosion phase,the reverse deposits are eroded and become thinner or even ***,no reverse grading characteristic is found in the proximal major channel that is closer to the source,but it is still preserved in the middle branch channel that is far from the *** entering the deceleration phase,normally grading deposits appear and cover previous *** final deposits in the basin are *** are reverse,and others are *** are superimposed with each other under the action of hyperpycnal *** analysis of the Sangyuan outcrop demonstrates the sedimentary process anddistribution of hyperpycnites,andreasonably explain the sedimentary characteristics of *** is helpful to the prediction of oil and gas exploration targets in gravity flow deposits.
This research investigates the effectiveness of employing a machine learning methodology and an Explainable Artificial Intelligence (XAI) tool for the assessment of Meibomian Glanddysfunction (MGd). Utilizing resNet3...
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