IEEE

Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network

Abstract: Skin cancer is caused due to unusual development of skin cells and deadly type cancer. Early diagnosis is very significant and can avoid some categories of skin cancers, such as melanoma and ...
IEEE

Relationships Between Leadership and Success in Different Types of Project Complexities

Abstract: We investigate the moderating effect of project complexity on the relationship between leadership competences of project managers and their success in projects. Building on existing studies ...
IEEE

Multi Criteria Methodology for Aircraft Trajectory Planning Algorithm Selection: A Survey

Abstract: Aircraft trajectory is one of the most fundamental objects in air traffic management. Its optimization is essential to ensure efficient and sustainable aviation. This survey proposes to ...
IEEE

A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines

Abstract: This paper presents a generic strategy for short-term load forecasting (STLF) based on the support vector regression machines (SVR). Two important improvements to the SVR based load ...
IEEE

Probabilistic Selection Approaches in Decomposition-Based Evolutionary Algorithms for Offline Data-Driven Multiobjective Optimization

Abstract: In offline data-driven multiobjective optimization, no new data are available during the optimization process. Approximation models, also known as surrogates, are built using the provided ...
IEEE

Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead

Abstract: The concept of digital twin (DT) is constantly revealing as a key enabling technology for the deployment of mobile communication services envisaged for the sixth-generation (6G) ...
IEEE

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

Abstract: Early detection of the motor faults is essential and artificial neural networks are widely used for this purpose. The typical systems usually encapsulate two distinct blocks: feature ...
IEEE

MPPI-IPDDP: A Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots

Abstract: This article presents a hybrid trajectory optimization method designed to generate collision-free, smooth trajectories for autonomous mobile robots. By combining sampling-based model ...
IEEE

Stability of Discrete-Time Systems With Time-Varying Delays via a Novel Summation Inequality

Abstract: This technical note is concerned with the stability analysis of discrete linear systems with time-varying delays. The novelty of the technical note comes from the consideration of a new ...
IEEE

Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach

Abstract: For microgrids with photovoltaic (PV) prosumers, the effective energy sharing management (ESM) is important for the operation. In this paper, a Stackelberg game approach for ESM is proposed.
IEEE

3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception

Abstract: We present a review of 3D point cloud processing and learning for autonomous driving. As one of the most important sensors in autonomous vehicles (AVs), lidar sensors collect 3D point clouds ...
IEEE

Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression

Abstract: Rotated object detection is an important research content in the field of remote-sensing images. However, in the rotated object detection, the inconsistency between the loss function and the ...