Product recommendation systems are a critical element of e-commerce platforms, as they enable customers to identify the items that best meet their needs. Product recommendation systems are important tools used by orga...
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The disease of breast cancer is now widespread throughout the world. Expert systems are useful tools that have been effective in the diagnosis of various diseases. Therefore, this paper develops an expert system for d...
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Every year, the cost of homes rises, necessitating the development of a system that can forecast future home prices. The ability to estimate house prices can be useful to both the developer and the customer in plannin...
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Vision language models (VLMs) have achieved impressive progress in diverse applications, becoming a prevalent research direction. In this paper, we build FIRE, a feedback-refinement dataset, consisting of 1.1M multi-t...
Electroencephalogram(EEG)is a medical imaging technology that can measure the electrical activity of the scalp produced by the brain,measured and recorded chronologically the surface of the scalp from the *** recorded...
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Electroencephalogram(EEG)is a medical imaging technology that can measure the electrical activity of the scalp produced by the brain,measured and recorded chronologically the surface of the scalp from the *** recorded signals from the brain are rich with useful *** inference of this useful information is a challenging *** paper aims to process the EEG signals for the recognition of human emotions specifically happiness,anger,fear,sadness,and surprise in response to audiovisual *** EEG signals are recorded by placing neurosky mindwave headset on the subject’s scalp,in response to audiovisual stimuli for the mentioned *** a bandpass filter with a bandwidth of 1-100 Hz,recorded raw EEG signals are *** preprocessed signals then further analyzed and twelve selected features in different domains are *** Random forest(RF)and multilayer perceptron(MLP)algorithms are then used for the classification of the emotions through extracted *** proposed audiovisual stimuli based EEG emotion classification system shows an average classification accuracy of 80%and 88%usingMLP and RF classifiers respectively on hybrid features for experimental signals of different *** proposed model outperforms in terms of cost and accuracy.
Cooperative multi-agent multi-armed bandits (CMA2B) study how distributed agents cooperatively play the same multi-armed bandit game. Most existing CMA2B works focused on maximizing the group performance of all agents...
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In this article, a 5D memristive chaotic system with three 3D offset boosting is designed and analyzed. By introducing three independent offset constants in the system equation, different regimes of offset boosting ar...
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Java is an object-oriented programming language that helps programmers to run programs easily. A web-based Java Programming Learning Assistant system (JPLAS) has been developed to help improve skills through self-lear...
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The resource allocation in heterogeneous cognitive radio networks (CRN) system has been considered a key technology in wireless networks. However, the main challenge of the CRN system is resource allocation with minim...
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Automatic sidewalk crack detection is necessary for urban infrastructure maintenance to ensure pedestrian safety. Such a task becomes complex on overgrown sidewalks, where crack detection usually misjudges vegetation ...
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