antedate
发表于 2025-3-23 13:04:55
Using Artificial Intelligence Techniques in Water Quality Analysis and Prediction: Towards Sustainabfor predictive analytics. This research aimed to determine the optimal classifier for a water potability dataset. Five commonly used classifiers were assessed: Logistic Regression, Support Vector Machine, Random Forest, XGBoost, and K-Nearest Neighbors. The models were evaluated and compared using precision, recall and F1 scores as key metrics.
针叶类的树
发表于 2025-3-23 14:46:05
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Glycogen
发表于 2025-3-23 19:14:27
Comorbid Symptoms, Syndromes, and Disorders,for predictive analytics. This research aimed to determine the optimal classifier for a water potability dataset. Five commonly used classifiers were assessed: Logistic Regression, Support Vector Machine, Random Forest, XGBoost, and K-Nearest Neighbors. The models were evaluated and compared using precision, recall and F1 scores as key metrics.
critique
发表于 2025-3-24 01:19:34
Recognizing Aluminum Beverage Cans from Waste Mixtures Based on Densenet121-CNN Model: Deep Learninge elements from waste mixtures images for recycling purposes is a major area of interest within the field of artificial intelligence. One of the interesting and important waste recycling issues is aluminum production from aluminum beverage cans. Therefore, recognizing aluminum beverage cans from sol
灰心丧气
发表于 2025-3-24 06:08:47
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STALE
发表于 2025-3-24 08:12:43
Using Artificial Intelligence Techniques in Water Quality Analysis and Prediction: Towards Sustainabtion are critical for environmental management and public health. Artificial Intelligence presents innovative solutions, leveraging advanced algorithms for efficient and accurate analysis and forecasting of water quality. Machine learning classification models are widely used across many industries
invert
发表于 2025-3-24 11:40:42
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使更活跃
发表于 2025-3-24 16:56:38
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责任
发表于 2025-3-24 20:10:38
Towards Sustainable and Green Agriculture: Integrating Machine Learning and Fuzzy Rough Set Analysisoduction. Nowadays, a lot of technologies are developed for agricultural applications, and the majority of them are used to classify and assess the maturity of fruits. Measuring the fruit’s maturity level is essential to obtaining fruit of the highest quality and a crucial step in guaranteeing fruit
斜谷
发表于 2025-3-25 01:23:26
Classifying Bird Songs Based on Chroma and Spectrogram Feature Extractionion of birds based solely on their auditory characteristics. Birds share all the characteristics of an animal because they share a common ancestor with all other animals on the planet. Birds are considered animals. Birds are vertebrate animals, improving classification accuracy and making sure it ca