Deepfakes, powered by generative adversarial networks (GANs), automate the creation of deceptive videos. To combat this menace, the study assembles an advanced model that fuses ResNeXt, Long Short-Term Memory (LSTM), ...
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To improve productivity in small and medium-sized manufacturing businesses, it is necessary to use digital systems. Therefore, we built a system that can detect the shortage of bearing grease. We designed a sensor dev...
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In face detection of mask wearers, the detection rate of profile tends to be low. In this study, the object detection method for YOLOv7 is used. Model performance is improved by adjusting the dataset and training more...
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Alzheimer's disease is a neurological condition that is both chronic and irreversible, and there is currently no effective therapy for it. The symptoms are very modest initially, but they progressively worsen with...
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In the current interconnected and susceptible digital environment, the demand for reliable network attack prediction systems has reached a critical level. This research paper presents a novel approach for network intr...
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Social media has revolutionized global communication, business contracts, and the diffusion of ideas. However, there are several potential drawbacks to this, including the spread of false information, data breaches, i...
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Conventional lexicon-based approaches to sentiment analysis typically lack the necessary methods to properly identify the negation window, making it impossible to model negation. An enormous increase in sentiment-rich...
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ISBN:
(纸本)9798350359688
Conventional lexicon-based approaches to sentiment analysis typically lack the necessary methods to properly identify the negation window, making it impossible to model negation. An enormous increase in sentiment-rich electronic and social media has been observed daily. Negation modifiers cause problems for Sentiment Classification techniques and have the power to entirely change the discourse's meaning. Therefore, it becomes essential to manage them well. Opinion mining or sentiment analysis is the study of people's attitudes, feelings, and views as they are expressed in written language. It is one of the busiest text mining and natural language processing research projects. Even though sentiment analysis research has gained popularity in the field of natural language processing, for this problem, the state-of-the-art machine learning approach is based on Bag of Words. But the BOW model pays little attention to polarity shift, which could have a distinct overall effect. One of the main issues with doing sentimental analysis on any given text or sentence is handling polarity shift, which is what this study attempts to address. Sentiment analysis use Natural Language Processing principles to identify negation in the text. Our goal is to identify the negation effect on customer reviews that, although appearing good, are actually negative. The suggested modified negation methodology helps to increase classification accuracy by providing a method for computing negation identification. In terms of review classification by accuracy, precision, and recall, this approach yielded a noteworthy outcome. When test and training data are from distinct domains, machine learning faces the challenge of domain generalization. Despite the large body of research on cross-domain text classification, the majority of current methods concentrate on one-to-one or many-to-one domain adaptation. Our domain generalization method regularly outperforms state-of-the-art domain adaption methods, a
In Japan, the demand for nursing care is increasing with the aging of the population. On the other hand, the nursing care industry is facing a serious problem of increasing the burden on care workers due to a shortage...
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Crowd counting is of great importance for urban management and disaster relief. However, monitoring the whole situation of crowd density in a wide area such as a city will involve processing a great number of images o...
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Due to their rapid reproduction, development, and similar genetic structure to humans, zebrafish are popular animals in various biological research. Their small size and body transparency make them convenient to exami...
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