Search Results for author:
Found 4 papers, 3 papers with code
The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions
Smart cities stand as pivotal components in the ongoing pursuit of elevating urban living standards, facilitating the rapid expansion of urban areas while efficiently managing resources through sustainable and scalable innovations.
Densely Deformable Efficient Salient Object Detection Network
In this paper, inspired by the best background/foreground separation abilities of deformable convolutions, we employ them in our Densely Deformable Network (DDNet) to achieve efficient SOD.
Ranked #4 on
RGB-D Salient Object Detection
on SIP
(Average MAE metric, using extra
training data)
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs).
Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features
In this paper, we propose a novel action recognition method by processing the video data using convolutional neural network (CNN) and deep bidirectional LSTM (DB-LSTM) network.
