IEEE

GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Abstract: The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the domain of natural language processing, which is propelling us toward the development of machines that ...
IEEE

Optimal Planning for Electricity-Hydrogen Integrated Energy System Considering Power to Hydrogen and Heat and Seasonal Storage

Abstract: For the future development of an integrated energy system (IES) with ultra-high penetration of renewable energy, a planning model for an electricity-hydrogen integrated energy system (EH-IES ...
IEEE

Conference on Computer Vision and Pattern Recognition (CVPR)

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Location: Nashville, TN, USA 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Location: Seattle, WA ...
IEEE

Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial

Abstract: Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning the signal reflection via a large number of ...
IEEE

A carrier-based PWM method for three-phase four-leg voltage source converters

Abstract: In this paper a voltage modulation method based on a triangular carrier wave for the three-phase four-leg voltage source converter is described. The four-leg converter can produce three ...
IEEE

Moving Beyond Optimism Bias and Strategic Misrepresentation: An Explanation for Social Infrastructure Project Cost Overruns

Abstract: Infrastructure projects regularly experience cost and schedule overruns. Research led by Flyvbjerg has suggested that misrepresentation and optimism bias are primary causes for overruns.
IEEE

Specific Emitter Identification via Hilbert–Huang Transform in Single-Hop and Relaying Scenarios

Abstract: In this paper, we investigate the specific emitter identification (SEI) problem, which distinguishes different emitters using features generated by the nonlinearity of the power amplifiers ...
IEEE

DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data

Abstract: Despite over two decades of progress, imbalanced data is still considered a significant challenge for contemporary machine learning models. Modern advances in deep learning have further ...
IEEE

Towards an Analysis of Security Issues, Challenges, and Open Problems in the Internet of Things

Abstract: The Internet of Things (IoT) devices have become popular in diverse domains such as e-Health, e-Home, e-Commerce, and e-Trafficking, etc. With increased deployment of IoT devices in the real ...
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

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

Single-Stage High-Efficiency 48/1 V Sigma Converter With Integrated Magnetics

Abstract: A high-efficiency, high-power-density Sigma converter for a 48 V rack architecture in data centers is proposed in this paper. The Sigma converter is a quasi-parallel converter that uses a ...