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

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

Enhancing Intrusion Detection in Cloud Computing Environments Using a Hybrid BiGRU-CNN Model

Abstract: Due to its adaptability and pay-as-you-go pricing model, cloud computing has quickly become the go-to option for all types of IT companies. The majority of cloud intrusion detection systems ...
IEEE

A Traffic Flow Prediction Model Based on Vehicle Travel Big Data and Simulation

Abstract: With the accelerating global urbanization process, urban transportation systems are facing multiple challenges, including surging traffic flow, environmental protection, and road safety. To ...
IEEE

Efficient Infrared Small Target Detection via Fixed-Rank Representation and Patch-Tensor Model

Abstract: Robust and efficient detection of infrared small targets is the key technology of the infrared search and tracking (IRST) system. Low-rank sparse decomposition (LRSD) is a powerful tool for ...
IEEE

Smart Food Calorie Prediction: Hybrid CNN-ML Model for Accurate Meal Tracking

Abstract: The food calorie prediction systems depend on image recognition, basic Machine Learning (ML) models, and manual input without adequate portion size analysis. It is well-recognized that these ...
IEEE

The ACGAN-AOA-CNN-BiGRU Model for Network Intrusion Detection

Abstract: Addressing the dual challenges of class imbalance and manual hyperparameter tuning in network intrusion detection, this paper proposes a CNN-BiGRU detection model integrating Adversarial ...
IEEE

PixTransNet: A Sensor-Aware CNN–Transformer Model for Magnetic Flux Leakage Defect Segmentation

Abstract: Magnetic flux leakage (MFL) is a widely used nondestructive evaluation technique for pipeline inspection. However, its signals are highly sensitive to noise and geometric distortions, ...
IEEE

A Large Language Model-Designed Genetic Algorithm for Re-entrant Flexible Flow Shop Scheduling Problem

Abstract: Evolutionary algorithms face critical design limitations including operator customization depending on expert knowledge and inefficient parameter tuning. To overcome these challenges, this ...
IEEE

Development of a CNN Model for Anomaly Detection in SDN Environments

Abstract: This work develops a Convolutional Neural Network (CNN) for anomaly detection (AD) in Software-Defined Networking (SDN) environments, utilizing six flow dimensions: bits per second, packets ...