Titlebook: Intelligent Human Computer Interaction; 15th International C Bong Jun Choi,Dhananjay Singh,Wan-Young Chung Conference proceedings 2024 The

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書目名稱Intelligent Human Computer Interaction影響因子(影響力)




書目名稱Intelligent Human Computer Interaction影響因子(影響力)學(xué)科排名




書目名稱Intelligent Human Computer Interaction網(wǎng)絡(luò)公開度




書目名稱Intelligent Human Computer Interaction網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Human Computer Interaction被引頻次




書目名稱Intelligent Human Computer Interaction被引頻次學(xué)科排名




書目名稱Intelligent Human Computer Interaction年度引用




書目名稱Intelligent Human Computer Interaction年度引用學(xué)科排名




書目名稱Intelligent Human Computer Interaction讀者反饋




書目名稱Intelligent Human Computer Interaction讀者反饋學(xué)科排名

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AI-Based Estimation from Images of Food Portion Size and Calories for Healthcare Systems This divergence in nutritional requirements is particularly critical for vulnerable groups, including newborns, the elderly, and individuals with diabetes, as their dietary choices can have profound implications for their health. Moreover, the dearth of Uzbek recipes in mainstream culinary literatu

PAD416

Blockchain Technology as a Defense Mechanism Against Data Tampering in Smart Vehicle Systems into a fresh era of mobility, offering the potential for increased efficiency, upgraded safety, and enhanced user satisfaction. According to a study by Statista, in terms of IoT-related revenue, the automotive IoT market is expected to reach 23.6 billion US dollars in 2025 [.]. However, their relia

alcohol-abuse

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Weed and Crop Detection in Rice Field Using R-CNN and Its Hybrid Modelseed and crop in terms of texture, color and shape. To deal with this challenge, a farmer needs to spray herbicides uniformly throughout the field. In addition to requiring a lot of pesticides, this method has an adverse effect on the environment and people’s health. To overcome this, precision agric

Interlocking

Spatial Attention Transformer Based Framework for Anomaly Classification in Image Sequenceseo surveillance systems. Anomaly detection is still a challenging task in the domain of computer vision because of its changing color, backgrounds, and illuminations. In recent years, vision transformers, along with the introduction of attention modules in deep learning algorithms showed promising r

乳白光

Development of LSTM-Based Sentence Generation Model to Improve Recognition Performance of OCR Systemnd LSTM models developed from them are being used in language models. In this study, a next sentence prediction model based on LSTM was implemented with the goal of improving the sentence recognition accuracy of OCR systems. The implemented model can ensure accurate recognition by generating the nex

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