Papers Electrical Engineering
“Electrical Engineering” 태그가 달린 논문 53편 · 필터 해제
Quantitative Indices for Improving Metro Load Curve, Using Distributed Generation
This paper promises the idea of using DG (Distributed Generation) to improve the Metro load curve. Public transportation systems are often based on gasoline and diesel. However, with the gradual development in usage of t…
Electrical EngineeringAITEE -- Agentic Tutor for Electrical Engineering
Intelligent tutoring systems combined with large language models offer a promising approach to address students' diverse needs and promote self-efficacious learning. While large language models possess good foundational …
Electrical EngineeringRetrieval-augmented GenerationExplainable Dual-Attention Tabular Transformer for Soil Electrical Resistivity Prediction: A Decision Support Framework for High-Voltage Substation Construction
This research introduces a novel dual-attention transformer architecture for predicting soil electrical resistivity, a critical parameter for high-voltage substation construction. Our model employs attention mechanisms o…
Electrical EngineeringAbout Odomode Idris Opeyemi
I Odomode Idris Opeyemi was born on 29/05 /2005 into the family of Mr &Mrs Odomode. I was born into Muslim family. My father is a politician and a farmer while My mother is a trader . I was born in Ikirun Osun state. …
Electrical EngineeringMarketingA Dynamic Similarity Index for Assessing Voltage Source Behaviour in Power Systems
Due to the fundamental transition to a power electronic dominated power system, the increasing diversity of dynamic elements underscores the need to assess their similarity to mature electrical engineering models. This a…
Electrical EngineeringGraph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Many applications in traffic, civil engineering, or electrical engineering revolve around edge-level signals. Such signals can be categorized as inherently directed, for example, the water flow in a pipe network, and und…
Electrical EngineeringEn masse scanning and automated surfacing of small objects using Micro-CT
Modern archaeological methods increasingly utilize 3D virtual representations of objects, computationally intensive analyses, high resolution scanning, large datasets, and machine learning. With higher resolution scans, …
Electrical EngineeringGeneralizing Linear Graphs and Bond Graph Models with Hetero-functional Graphs for System-of-Systems Engineering Applications
In the 20th century, individual technology products like the generator, telephone, and automobile were connected to form many of the large-scale, complex, infrastructure networks we know today: the power grid, the commun…
Electrical EngineeringViRED: Prediction of Visual Relations in Engineering Drawings
To accurately understand engineering drawings, it is essential to establish the correspondence between images and their description tables within the drawings. Existing document understanding methods predominantly focus …
Decoderdocument understandingElectrical EngineeringPrediction+2LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
In the realm of electronic and electrical engineering, automation of analog circuit is increasingly vital given the complexity and customized requirements of modern applications. However, existing methods only develop se…
Electrical EngineeringGraph GenerationLanguage ModelingLanguage ModellingTransmission des Ondes Électromagnétiques
This book aims to familiarize Electrical Engineering students with exercises and problems related to electromagnetic wave transmission. It includes a brief theoretical introduction to classical electromagnetism formulas …
Electrical EngineeringBayesian Nonparametrics: An Alternative to Deep Learning
Bayesian nonparametric models offer a flexible and powerful framework for statistical model selection, enabling the adaptation of model complexity to the intricacies of diverse datasets. This survey intends to delve into…
Deep LearningElectrical EngineeringModel SelectionMulti-Object Tracking+2Internet of Harvester Nano Things: A Future Prospects
The advancements in nanotechnology, material science, and electrical engineering have shrunk the sizes of electronic devices down to the micro/nanoscale. This brings the opportunity of developing the Internet of Nano Thi…
Electrical EngineeringBayesian Transfer Learning
Transfer learning is a burgeoning concept in statistical machine learning that seeks to improve inference and/or predictive accuracy on a domain of interest by leveraging data from related domains. While the term "transf…
Electrical EngineeringTransfer LearningCan Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Generalist foundation models such as GPT-4 have displayed surprising capabilities in a wide variety of domains and tasks. Yet, there is a prevalent assumption that they cannot match specialist capabilities of fine-tuned …
Electrical EngineeringExperimental DesignMedQAPhilosophy+2Frequentist Guarantees of Distributed (Non)-Bayesian Inference
Motivated by the need to analyze large, decentralized datasets, distributed Bayesian inference has become a critical research area across multiple fields, including statistics, electrical engineering, and economics. This…
Bayesian InferenceElectrical EngineeringUncertainty QuantificationThe Newtonian Mechanics of Demand
Economic engineering is a new field wherein economic systems are modelled in the same manner as traditional mechanical and electrical engineering systems. In this paper, we use Newton's theory of motion as the basis for …
Electrical EngineeringFrictionChatGPT-4 with Code Interpreter can be used to solve introductory college-level vector calculus and electromagnetism problems
We evaluated ChatGPT 3.5, 4, and 4 with Code Interpreter on a set of college-level engineering-math and electromagnetism problems, such as those often given to sophomore electrical engineering majors. We selected a set o…
Electrical EngineeringMathFundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss
Although deep learning (DL) has led to several breakthroughs in many disciplines as diverse as chemistry, computer science, electrical engineering, mathematics, medicine, neuroscience, and physics, a comprehensive unders…
Electrical EngineeringSparse Partitioning Around Medoids
Partitioning Around Medoids (PAM, k-Medoids) is a popular clustering technique to use with arbitrary distance functions or similarities, where each cluster is represented by its most central object, called the medoid or …
Electrical Engineering