Deep Learning Applications | Deep Neural Network

The collection explores various applications of deep neural networks across diverse fields such as wireless signal detection, audio sentiment analysis, soil modeling, speech emotion recognition, traffic prediction, ECG classification, and sentiment analysis techniques. These documents illustrate innovative architectures and methods that enhance predictive accuracy and classification tasks, often outperforming traditional approaches. The research highlights the versatility and potential of deep learning technologies in solving complex problems in real-world scenarios.

A hybrid ARIMA and DNN approach with residual learning for electric vehicle charging demand forecasting

byTELKOMNIKA JOURNAL

A learning-based approach to breast cancer screening using mammography images

byIJICTJOURNAL

Enhancing fire detection capabilities: Leveraging you only look once for swift and accurate prediction

byIAESIJAI

Deep neural networks and conventional machine learning classifiers to analyze thoracic survival data

byIAESIJAI

Deep retino-network for automatic quantification of diabetic retinopathy

byIAESIJAI

Computer Vision-Based Recognition of Pavement Crack Patterns Using Light Gradient Boosting Machine, Deep Neural Network, and Convolutional Neural Network

byJournal of Soft Computing in Civil Engineering

Predictive Models for Prediction of Broad Crested Gabion Weir Aeration Performance

byJournal of Soft Computing in Civil Engineering

Deep Neural Network-Based Storey Drift Modelling of Precast Concrete Structures Using RStudio

byJournal of Soft Computing in Civil Engineering

January 2025 - Top 10 Read Articles in Artificial Intelligence and Applications (IJAIA)

bygerogepatton

A Comparative Analysis of Class Imbalance Handling Techniques for Deep Models in the Detection of Anomalies in Energy Consumption

bygerogepatton

[BVHI] Möglichkeiten und Grenzen Künstlicher Intelligenz in der Hörgeräteversorgung

byBundesverband der Hörsysteme-Industrie

Tutorial on deep generative model (slides)

byLoc Nguyen

Sentiment analysis with machine learning and deep learning A survey of techniques and applications

byNikhil Sanjay Suryawanshi

Classify arrhythmia by using 2D spectral images and deep neural network

bynooriasukmaningtyas

Deep Learning Neural Network Approaches to Land Use-demographic- Temporal based Traffic Prediction

bycivejjour

Emotion Recognition Based on Speech Signals by Combining Empirical Mode Decomposition and Deep Neural Network

byBIJIAM Journal

Modeling Soil Pressure-Sinkage Characteristic as Affected by Sinkage rate using Deep Learning Optimized by Grey Wolf Algorithm

byJ. Agricultural Machinery

Sentimental analysis of audio based customer reviews without textual conversion

byIJECEIAES

Wide-band spectrum sensing with convolution neural network using spectral correlation function

byIJECEIAES

Multi-Class Stress Detection Through Heart Rate Variability A Deep Neural Network Based Study.docx

byShakas Technologies