Audio-based bird identification systems have proven particularly useful for biodiversity monitoring and education. Accurate understanding of the identity, geographical distribution and variation of birds is essential ...
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Nowadays, data-sharing ecosystems are crucial for unlocking and realizing the maximum potential of data. Data spaces are an emergent concept that helps to overcome some of the challenges related to data sharing and su...
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ISBN:
(纸本)9798350301137
Nowadays, data-sharing ecosystems are crucial for unlocking and realizing the maximum potential of data. Data spaces are an emergent concept that helps to overcome some of the challenges related to data sharing and supports the creation of innovative solutions in a trustful and mutually beneficial manner. This paper shows how competing companies in the mobility domain can collaborate toward optimizing the performance of a traffic prediction algorithm through implementing federated machinelearning in a data space. The proposed method avoids sensitive data sharing by executing machinelearning algorithms within the private environments of competing companies while only the trained model instances are shared. The approach has various applications beyond the one presented in the paper.
Vehicle license plate detection and recognition it's a multi stage process, image pre- processing, license plate location, character location and recognition. We analyzed the multiple methodology used during this ...
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ISBN:
(纸本)9798350358568
Vehicle license plate detection and recognition it's a multi stage process, image pre- processing, license plate location, character location and recognition. We analyzed the multiple methodology used during this process, their features and results and implemented an algorithm that executes it. We applied a hybrid algorithm for plate location, a mathematical one for segmentation and a convolutional neural network for recognition, obtaining 98% in segmentation and recognition.
Weather conditions are among the most influential factors when determining what type of tourist attraction to recommend. This paper focuses on a machinelearning architecture capable of analysing publicly available to...
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Introducing softwareengineering students to data science provides an opportunity to reinforce foundational topics while also introducing students to emerging technologies. This paper discusses the experience of devel...
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Phishing emails, a type of cyberattack using fake emails, are difficult to recognize due to sophisticated techniques employed by attackers. In this paper, we use a natural language processing (NLP) and machine learnin...
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Based on the analysis of the research status of the key technologies of visual perception at home and abroad, combined with the cutting-edge technology in the field of artificial intelligence in recent years, this pap...
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Computer chess games are one of the most significant research subjects in the field of artificial intelligence. Self-play learning depends only on the chess gaming process and the outcome. Neither knowledge nor expert...
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Skin cancer constitutes one of the most common types of cancer, and according to the World Health Organization, one in five people will develop skin cancer before the age of 70. More than 3.5 million new cases occur a...
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ElectroEncephaloGram (EEG) is associated with multiple functions, including communications with neurons, organic monitoring, and interactions with external stimuli. By decoding EEG signals, certain human activities su...
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