Usha Devi N

This study explores the application of long short-term memory (LSTM) networks for the identification of behavioral changes. LSTM networks, a type of recurrent neural network...

Deforestation poses a significant threat to global biodiversity and climate stability, necessitating effective monitoring and management strategies. It is highly necessary for an...

Enhanced Oil Recovery (EOR) techniques are crucial for maximizing oil extraction from established reservoirs. Traditional methods for predicting the effectiveness of EOR...

Convolutional Neural Networks (CNNs) provide a potential method for predicting the behavior of oil reservoirs through the analysis of intricate geographical data, including well...

The oil and gas industry are experiencing a revolution in pipeline inspection and leak detection because of deep learning techniques, specifically Convolutional Neural Networks...

Deep Learning has revolutionary potential to improve cybersecurity threat identification and analysis. This system quickly and accurately analyses large datasets by using Deep...

Monitoring water quality is essential to guaranteeing the sustainability and safety of water supplies. Conventional techniques for evaluating the quality of water might be...

A major part of supplying the increasing demand for seafood around the world is aquaculture. This work suggests a novel deep learning-based method for automated feed management...

Generative adversarial networks (GANs) are a cutting-edge technique in drug development that provides a fresh method for optimising and designing molecules. Under this paradigm...

Modern healthcare relies heavily on medical imaging, and breakthroughs in artificial intelligence--more specifically, the use of convolutional neural networks, or CNNs, have...

This chapter presents a simple and effective approach to designing LSTM networks for the task of emotion recognition. Emotion modelling plays a crucial role in various...

The authors explore the domains of gastronomy with the aid of cutting-edge AI technology, revealing the complex layers of flavour dimensions. CulinarySpectra challenges...

In order to improve automated waste treatment system, this work investigates the combination of bioelectric sensors, internet of things (IoT), and long short-term memory (LSTM)...

Machine learning methods have emerged as powerful tools for enhancing healthcare quality by leveraging large datasets and identifying patterns that can inform decision-making and...