Titlebook: IOT with Smart Systems; ICTIS 2023, Volume 2 Jyoti Choudrie,Parikshit N. Mahalle,Amit Joshi Conference proceedings 2023 The Editor(s) (if a

古老

Vo2-Max

Performance Analysis of Classification Techniques in Heart Disease Prediction,ng method is more as compare to other classifiers. So, weighted voting is the best method for identifying symptoms of the heart disease. This system is used in medical field by medical experts and doctors for early awareness of symptoms of cardiovascular diseases.

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玉米棒子

,Fetal Cardiac Detection Using Deep Learning from Echocardiographic Image–A Survey,ease prediction. The CNN can learn to identify features of fetal cardiac tumors and distinguish them from normal cardiac structures. This approach has the potential to improve the accuracy and efficiency of fetal cardiac tumor detection. To analyze the imaging and clinical features of fetal cardiac

Admonish

Analysing the Factor Influencing Post COVID-19 Experience Through User-Generated Content: Luxury Hofactors that are seen to result in dissatisfaction of customers. The current study by identifying the most important themes help managers in decision making process to allocate scarce resources in the best way feasible to keep their customers satisfied.

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Text Detection and Recognition from the Scene Images Using RCNN and EasyOCR,uch text is harrowing because of noisy backgrounds, diverse fonts, and text sizes. In this research, a comprehensive solution for detecting text using Faster RCNN and EasyOCR for text recognition is used to increase accuracy. The proposed algorithm is tested on benchmark datasets such as ICDAR13 and

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厚颜

Navigation Planning for Efficient Area Covering for Surface Cleaning,ce to the next unexplored location using the studied global environmental data. In complex scenarios, the authors‘ proposed algorithm can offer an optimal collision-free protection, according to experiments done in classroom-like settings. Considering coverage percentage and overlap duration, the su

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,Feature Extractor Techniques for Alzheimer’s Predictive Model in Brain Imaging,nable parameters. The main finding of our research is the significance of considering or evaluating multiple feature extraction techniques in order to determine the best approach for a particular problem.