The rapid advancement of deep learning technologies has transformed various sectors, enabling sophisticated applications across industries. However, training deep learning models is an energy-intensive process, leadin...
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There are many time series data in our daily life and accurate prediction of these data can bring great convenience to our life. In this study, a hybrid prediction model based on dilated causal convolution, focused li...
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Heart failure is a major problem which affects many people across the *** paper proposes an integrated architecture combining advanced predictive modeling for the risk assessment of heart failure and medication recomm...
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A pedestrian detection and tracking algorithm based on improved YOLOv5s and DeepSORT is proposed to address the issues of pedestrian identity jumps and tracking failures caused by mutual occlusion, similar appearance ...
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Sentiment analysis is a fine‐grained analysis task that aims to identify the sentiment polarity of a specified *** methods in Chinese sentiment analysis tasks only consider sentiment features from a single pole and s...
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Sentiment analysis is a fine‐grained analysis task that aims to identify the sentiment polarity of a specified *** methods in Chinese sentiment analysis tasks only consider sentiment features from a single pole and scale and thus cannot fully exploit and utilise sentiment feature information,making their performance less than *** resolve the problem,the authors propose a new method,GP‐FMLNet,that integrates both glyph and phonetic information and design a novel feature matrix learning process for phonetic features with which to model words that have the same pinyin information but different glyph *** method solves the problem of misspelling words influencing sentiment polarity prediction ***,the authors iteratively mine character,glyph,and pinyin features from the input comments ***,the authors use soft attention and matrix compound modules to model the phonetic features,which empowers their model to keep on zeroing in on the dynamic‐setting words in various positions and to dispense with the impacts of the deceptive‐setting ***-periments on six public datasets prove that the proposed model fully utilises the glyph and phonetic information and improves on the performance of existing Chinese senti-ment analysis algorithms.
The word inflation is a commonly used expression to describe the overall increase in the costs of products and services in the market over time. In this research work, we will look at inflation as a whole, as well as ...
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Security breaches present a serious risk in a variety of settings, thus strong detection and alerting systems are required to efficiently reduce risks. This study proposes a novel way for developing an Automated Email...
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The intersection of predictive maintenance and Automated Machine Learning (AutoML) ushers in a transformative era for industrial optimization, wherein the foresight of equipment failures becomes both attainable and ac...
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In today's industrial sector, the efficient monitoring of safety compliance is essential. The number of industrial accidents has been on the rise and this study proposes an alternate approach to traditional monito...
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Interpupillary distance (IPD), which is the distance between the centers of the pupils of the eyes, is a key measurement in many applications, including optics, virtual reality, and medicine. Measuring IPD in adults i...
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