Feature Extraction Methods
The collection focuses on various methodologies and machine learning techniques for feature extraction across multiple domains including audio analysis, image classification, and health diagnostics. Topics include sentiment analysis through deep neural networks, effective feature selection algorithms, ECG signal analysis for cardiovascular diseases, and automated systems for detecting conditions from medical images. The content emphasizes advancements in feature optimization and classification accuracy in diverse applications such as cybersecurity, agriculture, and mental health assessment.
-
Enhancing facial recognition accuracy through feature extractions and artificial neural networks
Enhancing facial recognition accuracy through feature extractions and artificial neural networks1w ago, 24 views
1w ago, 24 viewsLike Enhancing facial recognition accuracy through feature extractions and artificial neural networks SlideShare. Save Enhancing facial recognition accuracy through feature extractions and artificial neural networks SlideShare. Share Enhancing facial recognition accuracy through feature extractions and artificial neural networks SlideShare. -
Log-Based Anomaly Detection: Enhancing System Reliability with Machine Learning
Log-Based Anomaly Detection: Enhancing System Reliability with Machine Learning1m ago, 205 views
1m ago, 205 views -
Multi-label feature aware XGBoost model for student performance assessment using behavior data in online learning environment
Multi-label feature aware XGBoost model for student performance assessment using behavior data in online learning environment1m ago, 4 views
1m ago, 4 viewsLike Multi-label feature aware XGBoost model for student performance assessment using behavior data in online learning environment SlideShare. Save Multi-label feature aware XGBoost model for student performance assessment using behavior data in online learning environment SlideShare. Share Multi-label feature aware XGBoost model for student performance assessment using behavior data in online learning environment SlideShare. -
Character N-gram model for toxicity prediction
Character N-gram model for toxicity prediction1m ago, 5 views
1m ago, 5 views -
SEGMENTATION AND RECOGNITION OF HANDWRITTEN DIGIT NUMERAL STRING USING A MULTI LAYER PERCEPTRON NEURAL NETWORKS
SEGMENTATION AND RECOGNITION OF HANDWRITTEN DIGIT NUMERAL STRING USING A MULTI LAYER PERCEPTRON NEURAL NETWORKS1m ago, 5 views
1m ago, 5 viewsLike SEGMENTATION AND RECOGNITION OF HANDWRITTEN DIGIT NUMERAL STRING USING A MULTI LAYER PERCEPTRON NEURAL NETWORKS SlideShare. Save SEGMENTATION AND RECOGNITION OF HANDWRITTEN DIGIT NUMERAL STRING USING A MULTI LAYER PERCEPTRON NEURAL NETWORKS SlideShare. Share SEGMENTATION AND RECOGNITION OF HANDWRITTEN DIGIT NUMERAL STRING USING A MULTI LAYER PERCEPTRON NEURAL NETWORKS SlideShare. -
Addressing overfitting in comparative study for deep learningbased classification
Addressing overfitting in comparative study for deep learningbased classification1m ago, 2 views
1m ago, 2 views -
Epilepsy detection using wavelet transform, genetic algorithm, and decision tree classifier
Epilepsy detection using wavelet transform, genetic algorithm, and decision tree classifier2m ago, 2 views
2m ago, 2 viewsLike Epilepsy detection using wavelet transform, genetic algorithm, and decision tree classifier SlideShare. Save Epilepsy detection using wavelet transform, genetic algorithm, and decision tree classifier SlideShare. Share Epilepsy detection using wavelet transform, genetic algorithm, and decision tree classifier SlideShare. -
Enhancing Structural Health Monitoring of Super-Tall Buildings Using Support Vector Machines, MEMD, and Wavelet Transform
Enhancing Structural Health Monitoring of Super-Tall Buildings Using Support Vector Machines, MEMD, and Wavelet Transform2m ago, 15 views
2m ago, 15 viewsLike Enhancing Structural Health Monitoring of Super-Tall Buildings Using Support Vector Machines, MEMD, and Wavelet Transform SlideShare. Save Enhancing Structural Health Monitoring of Super-Tall Buildings Using Support Vector Machines, MEMD, and Wavelet Transform SlideShare. Share Enhancing Structural Health Monitoring of Super-Tall Buildings Using Support Vector Machines, MEMD, and Wavelet Transform SlideShare. -
Malware Classification Using Deep Learning
Malware Classification Using Deep Learning3m ago, 39 views
3m ago, 39 views -
Unlocking Human Emotions: Facial Emotion Recognition with Deep Learning
Unlocking Human Emotions: Facial Emotion Recognition with Deep Learning3m ago, 82 views
3m ago, 82 views -
Max Pooling and SPPF in YOLOv8 Max Pooling is a common operation in convolutional neural networks that reduces the spatial dimensions of feature maps
Max Pooling and SPPF in YOLOv8 Max Pooling is a common operation in convolutional neural networks that reduces the spatial dimensions of feature maps3m ago, 74 views
3m ago, 74 viewsLike Max Pooling and SPPF in YOLOv8 Max Pooling is a common operation in convolutional neural networks that reduces the spatial dimensions of feature maps SlideShare. Save Max Pooling and SPPF in YOLOv8 Max Pooling is a common operation in convolutional neural networks that reduces the spatial dimensions of feature maps SlideShare. Share Max Pooling and SPPF in YOLOv8 Max Pooling is a common operation in convolutional neural networks that reduces the spatial dimensions of feature maps SlideShare. -
DESIGN AND DEVELOPMENT OF MORPHOLOGICAL ANALYZER FOR TIGRIGNA VERBS USING HYBRID APPROACH
DESIGN AND DEVELOPMENT OF MORPHOLOGICAL ANALYZER FOR TIGRIGNA VERBS USING HYBRID APPROACH4m ago, 9 views
4m ago, 9 viewsLike DESIGN AND DEVELOPMENT OF MORPHOLOGICAL ANALYZER FOR TIGRIGNA VERBS USING HYBRID APPROACH SlideShare. Save DESIGN AND DEVELOPMENT OF MORPHOLOGICAL ANALYZER FOR TIGRIGNA VERBS USING HYBRID APPROACH SlideShare. Share DESIGN AND DEVELOPMENT OF MORPHOLOGICAL ANALYZER FOR TIGRIGNA VERBS USING HYBRID APPROACH SlideShare. -
Diagnosis and Classification of Two Common Potato Leaf Diseases (Early Blight and Late Blight) Using Image Processing and Machine Learning
Diagnosis and Classification of Two Common Potato Leaf Diseases (Early Blight and Late Blight) Using Image Processing and Machine Learning5m ago, 15 views
5m ago, 15 viewsLike Diagnosis and Classification of Two Common Potato Leaf Diseases (Early Blight and Late Blight) Using Image Processing and Machine Learning SlideShare. Save Diagnosis and Classification of Two Common Potato Leaf Diseases (Early Blight and Late Blight) Using Image Processing and Machine Learning SlideShare. Share Diagnosis and Classification of Two Common Potato Leaf Diseases (Early Blight and Late Blight) Using Image Processing and Machine Learning SlideShare. -
FEATURE EXTRACTION AND FEATURE SELECTION: REDUCING DATA COMPLEXITY WITH APACHE SPARK
FEATURE EXTRACTION AND FEATURE SELECTION: REDUCING DATA COMPLEXITY WITH APACHE SPARK6m ago, 16 views
6m ago, 16 viewsLike FEATURE EXTRACTION AND FEATURE SELECTION: REDUCING DATA COMPLEXITY WITH APACHE SPARK SlideShare. Save FEATURE EXTRACTION AND FEATURE SELECTION: REDUCING DATA COMPLEXITY WITH APACHE SPARK SlideShare. Share FEATURE EXTRACTION AND FEATURE SELECTION: REDUCING DATA COMPLEXITY WITH APACHE SPARK SlideShare. -
Bayesian_Optimization_with_Deep_Learning_based_Crop_Type_Classification_on_UAV_Imagery.pdf
Bayesian_Optimization_with_Deep_Learning_based_Crop_Type_Classification_on_UAV_Imagery.pdf7m ago, 98 views
7m ago, 98 viewsLike Bayesian_Optimization_with_Deep_Learning_based_Crop_Type_Classification_on_UAV_Imagery.pdf SlideShare. Save Bayesian_Optimization_with_Deep_Learning_based_Crop_Type_Classification_on_UAV_Imagery.pdf SlideShare. Share Bayesian_Optimization_with_Deep_Learning_based_Crop_Type_Classification_on_UAV_Imagery.pdf SlideShare. -
Combination of gray level co-occurrence matrix and artificial neural networks for classification of COVID-19 based on chest X-ray images
Combination of gray level co-occurrence matrix and artificial neural networks for classification of COVID-19 based on chest X-ray images8m ago, 5 views
8m ago, 5 viewsLike Combination of gray level co-occurrence matrix and artificial neural networks for classification of COVID-19 based on chest X-ray images SlideShare. Save Combination of gray level co-occurrence matrix and artificial neural networks for classification of COVID-19 based on chest X-ray images SlideShare. Share Combination of gray level co-occurrence matrix and artificial neural networks for classification of COVID-19 based on chest X-ray images SlideShare. -
Machine Learning - Implementation with Python - 3.pdf
Machine Learning - Implementation with Python - 3.pdf8m ago, 1,101 views
8m ago, 1,101 views -
Predicting Mental Health Outcomes Using Wearable Device Data and Machine Learning
Predicting Mental Health Outcomes Using Wearable Device Data and Machine Learning9m ago, 22 views
9m ago, 22 views
