Measuring El Niño, a dangerous route, training Dr. AI: Catch up on the day’s stories

Scientists are rethinking how they track Pacific Ocean temperatures as global warming reshapes climate patterns. A simple yet effective math trick is helping them spot El Niño and La Niña more clearly ...
IEEE

Olfactory Prediction Using CNN-CBAM Model

Abstract: Olfactory perception prediction plays a vital role in multi-modal sensory research, offering insights for health monitoring and personalized experiences. In this work, we propose a novel CNN ...
IEEE

Short-Term Photovoltaic Power Prediction Based on GWO-CNN-LSTM-MATT Hybrid Model

Abstract: This paper proposes a photovoltaic power prediction model based on GWO-CNN-LSTM-MATT. Firstly, the convolutional neural network (CNN) is used to extract the spatial features and local ...
IEEE

GAF-CNN-LSTM Hybrid Model for Power Load Forecasting in Non-Stationary Grids

Abstract: With the increasing penetration of renewable energy in power systems, load forecasting faces dual challenges of modeling non-stationary fluctuations and spatiotemporally coupled features.
IEEE

Automatic Detection and Calculation of Mining Subsidence in Large-Scale Interferograms With Transformer-CNN Model

Abstract: Coal mining operations trigger geological hazards including ground subsidence, surface fracturing, and landslides, endangering resident safety and infrastructure in mining regions. To ...
IEEE

Enabling Decoder-only Language Model Inference on a CNN Accelerator

Abstract: The remarkable success of Transformer architectures in Natural Language Processing (NLP) has led to increased demand for embedded systems capable of efficiently handling NLP tasks along with ...
IEEE

Bidirectional Transfer Learning Between Activity and User Identity Recognition via 2D CNN-LSTM Model for Wearables

Abstract: We implement transfer learning (TL) to attain efficiency in training and feature extraction by freezing the connection weights of shallow layers of deep learning (DL) models, already trained ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Automated Trash Detection and Classification Using CNN: A Deep Learning Approach

Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...