IEEE

Faster R-CNN vs SSD: A Deep Learning Approach for Nodule Detection in Lung Cancer Diagnosis

Abstract: Deep learning-based object identification technology has numerous uses, including facial recognition, commercial analytics, and medical imaging analysis. An object detector has a backbone ...
IEEE

Integrating Graph Neural Networks with Multi-Agent Deep Reinforcement Learning for Dynamic V2X Communication

Abstract: In the rapidly evolving field of Internet of Vehicles technology, Cellular Vehicle-to-Everything (C-V2X) communication has garnered considerable attention due to its superior performance in ...
Frontiers

Artificial intelligence and deep learning for neural data analysis

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...
IEEE

YOLO-Air: An Efficient Deep Learning Network for Small Object Detection in Drone-Based Imagery

Abstract: UAV imagery is widely used in areas like traffic safety, disaster rescue, and airspace management, due to its small size and low cost. However, it poses unique challenges for object ...
IEEE

Design of a Low-Power Analog Integrated Deep Convolutional Neural Network

Abstract: In this article, a framework for the analog implementation of a deep convolutional neural network (CNN) is introduced and used to derive a new circuit architecture which is composed of an ...
IEEE

Exploring the Capability of Deep Neural Network on Ship Sub-Assembly Weld Seam Recognition

Abstract: To address the problem of robot weld process planning for complex ship sub-assembly work-pieces, this paper explores the capability of the deep neural network models on seam cloud point ...
IEEE

A Hybrid Framework for Acute Lymphoblastic Leukemia Identification Utilizing VIT-CNN Fusion and Immunologically Inspired Deep Feature Selection

Abstract: Acute Lymphoblastic Leukemia (ALL) is a serious blood cancer characterized by the abnormal growth of progenitor white blood cells, which interferes with normal blood cell production. Early ...
IEEE

Deep Learning-based Visible and Infrared Image Fusion using Dual-Branch Attention Network for Enhanced Structural Clarity

Abstract: This paper presents a deep learning-based framework for the fusion of visible and infrared images to enhance image visibility and structural clarity under varying conditions. The proposed ...
IEEE

Data Acquisition and Fusion System Using 1-D CNN Network for Real-Time Bearing Fault Detection

Abstract: A classification system that utilizes the convolutional neural network (CNN) is established for real-time bearing fault detection. The system consists of acquiring the vibration signals ...
IEEE

A Wavelet-Guided Deep Unfolding Network for Single Image Reflection Removal

Abstract: Removing unwanted reflections from images is a fundamental yet challenging problem in low-level computer vision. Recent deep learning-based Single Image Reflection Removal (SIRR) methods ...
IEEE

Life Prediction of IGBT Across Working Condition via a CNN-Transformer Network

Abstract: Insulated Gate Bipolar Transistors (IGBTs) are extensively utilized in a multitude of fields owing to their proficiency in power conversion and their dependable operation. Anticipating the ...
IEEE

A Sea Clutter Suppression Method With Graph Neural Network for Maritime Target Detection

Abstract: Radar is widely applied in maritime target detection. However, the performance of sea-surface target detection in complex ocean environments is limited because of the low signal-to-clutter ...