Search
Search Results
-
Design and Experiment of 2D Rectangular Solenoid Transmitting Coil for Novel Gastrointestinal Capsule Robot
A two-dimensional rectangular solenoid transmitting coil is proposed to address the problem that the three-dimensional receiving coil occupies...
-
Improved Artificial Rabbit Optimization Algorithm Fused with Particle Swarm Optimization for Wireless Sensor Network Coverage Optimization
Aiming at the problem of low node coverage during node deployment in wireless sensor network (WSN), an improved artificial rabbit optimization...
-
YOLO-VSF: An Improved YOLO Model by Incorporating Attention Mechanism for Object Detection in Traffic Scenes
Intelligent transportation and autonomous driving systems have made urgent demands on the techniques with high performance on object detection in...
-
Generation and Countermeasures of adversarial examples on vision: a survey
Recent studies have found that deep learning models are vulnerable to adversarial examples, demonstrating that applying a certain imperceptible...
-
An intensity-based self-supervised domain adaptation method for intervertebral disc segmentation in magnetic resonance imaging
Background and objective:Accurate IVD segmentation is crucial for diagnosing and treating spinal conditions. Traditional deep learning methods depend...
-
Optimality analysis for \(\epsilon \)-quasi solutions of optimization problems via \(\epsilon \)-upper convexificators: a dual approach
The theory of duality is of fundamental importance in the study of vector optimization problems and vector equilibrium problems. A Mond–Weir-type...
-
Controlling Alzheimer’s disease by deep brain stimulation based on a data-driven cortical network model
This work aims to explore the control effect of DBS on Alzheimer's disease (AD) from a neurocomputational perspective. Firstly, a data-driven...
-
Interference Detection Method for Eye Tracking System in External Radiation Therapy
In the process of external radiation therapy, eye movements need to be detected in real time using an eye tracking system. The complex eye tracking...
-
Influence of Water-Solid Interaction and Surface Charge on Thermal Resistance Length
Understanding the particle behavior at the solid-liquid interface and regulating the interfacial thermal resistance is the key to solving the chip...
-
Natural noise management in collaborative recommender systems over time-related information
Recommender systems are currently a suitable alternative for providing easy and appropriate access to information for users in today’s digital...
-
Differences with high probability and impossible differentials for the KB-256 cipher
In this paper differences with probability 1 were found for 6 and 7 rounds of KB-256 block cipher. Also using Biham’s et al. shrinking technique we...
-
YOLO-SDD: An Improved YOLOv5 for Storm Drain Detection in Street-Level View
Urban drainage pipe system is an important part of city management. Automated detection of the status of storm drain in street-level images through...
-
An experimental evaluation of Siamese Neural Networks for robot localization using omnidirectional imaging in indoor environments
The objective of this paper is to address the localization problem using omnidirectional images captured by a catadioptric vision system mounted on...
-
Deep learning for lungs cancer detection: a review
Although lung cancer has been recognized to be the deadliest type of cancer, a good prognosis and efficient treatment depend on early detection....
-
Centrality-based and similarity-based neighborhood extension in graph neural networks
In recent years, Graph Neural Networks (GNNs) have become a key technique to address various graph-based machine learning tasks. Most of existing...
-
DEKGCI: A double-ended recommendation model for integrating knowledge graph and user–item interaction graph
User–item bipartite graphs and knowledge graphs are frequently employed in recommender systems due to their ability to provide rich information for...
-
Efficient MST-based clustering with leader node selection and outlier edge cutting
The clustering algorithm based on the minimum spanning tree (MST) can identify clusters of different shapes. However, the minimum spanning tree...
-
Green AI: exploring carbon footprints, mitigation strategies, and trade offs in large language model training
Prominent works in the space of Natural Language Processing (NLP) have long attempted to create new innovative models by improving upon previous...
-
CSSLnO: Cat Swarm Sea Lion Optimization-based deep learning for fake news detection from social media
Social media has effectively shortened the time for the distribution of information, which sometimes carry news when compared to traditional methods....
-
Autonomous military systems beyond human control: putting an empirical perspective on value trade-offs for autonomous systems design in the military
The question of human control is a key concern in autonomous military systems debates. Our research qualitatively and quantitatively investigates...