Papers Electrical Engineering
“Electrical Engineering” 태그가 달린 논문 53편 · 필터 해제
Digital Health Discussion Through Articles Published Until the Year 2021: A Digital Topic Modeling Approach
The digital health industry has grown in popularity since the 2010s, but there has been limited analysis of the topics discussed in the field across academic disciplines. This study aims to analyze the research trends of…
ArticlesElectrical EngineeringS2SNet: A Pretrained Neural Network for Superconductivity Discovery
Superconductivity allows electrical current to flow without any energy loss, and thus making solids superconducting is a grand goal of physics, material science, and electrical engineering. More than 16 Nobel Laureates h…
Electrical EngineeringLanguage ModelingLanguage ModellingMasked Language ModelingExploring the MIT Mathematics and EECS Curriculum Using Large Language Models
We curate a comprehensive dataset of 4,550 questions and solutions from problem sets, midterm exams, and final exams across all MIT Mathematics and Electrical Engineering and Computer Science (EECS) courses required for …
Electrical EngineeringFew-Shot LearningLanguage ModelingLanguage Modelling+2Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion
Abstract—Underwater image processing has been shown to exhibit significant potential for exploring underwater environ- ments. It has been applied to a wide variety of fields, such as underwater terrain scanning and auton…
Electrical EngineeringObjectobject-detectionObject DetectionIntegrating machine learning concepts into undergraduate classes
In this innovative practice work-in-progress paper, we compare two different methods to teach machine learning concepts to undergraduate students in Electrical Engineering. While machine learning is now being offered as …
Electrical EngineeringElectricity Price Forecasting: The Dawn of Machine Learning
Electricity price forecasting (EPF) is a branch of forecasting on the interface of electrical engineering, statistics, computer science, and finance, which focuses on predicting prices in wholesale electricity markets fo…
BIG-bench Machine LearningElectrical EngineeringElectrical load forecasting using hybrid of extreme gradient boosting and light gradient boosting machine
Ensemble learning methods have been used to improve performance accuracy through bias-variance trade-off techniques. However, there is still room to improve. This paper proposes an ensemble model to forecast the electric…
Electrical EngineeringEnsemble LearningHybrid Machine LearningLoad ForecastingRelative velocity-based reward functions for crowd navigation of robots
The four-wheeled Mecanum robot is widely used in various industries due to its maneuverability and strong load capacity, which is suitable for performing precise transportation tasks in a narrow environment, but while th…
Electrical EngineeringTask PlanningScaling Language Models: Methods, Analysis & Insights from Training Gopher
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis o…
Abstract AlgebraAnachronismsAnalogical SimilarityAnalytic Entailment+143A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
This two-part comprehensive survey is devoted to a computing framework most commonly known under the names Hyperdimensional Computing and Vector Symbolic Architectures (HDC/VSA). Both names refer to a family of computati…
Electrical EngineeringSurveyRevisit the Fundamental Theorem of Linear Algebra
This survey is meant to provide an introduction to the fundamental theorem of linear algebra and the theories behind them. Our goal is to give a rigorous introduction to the readers with prior exposure to linear algebra.…
Electrical EngineeringSurveyA Public Ground-Truth Dataset for Handwritten Circuit Diagram Images
The development of digitization methods for line drawings (especially in the area of electrical engineering) relies on the availability of publicly available training and evaluation data. This paper presents such an imag…
Electrical Engineeringobject-detectionObject DetectionTinyML: Analysis of Xtensa LX6 microprocessor for Neural Network Applications by ESP32 SoC
In recent decades, Machine Learning (ML) has become extremely important for many computing applications. The pervasiveness of ultra-low-power embedded devices such as ESP32 or ESP32 Cam with tiny Machine Learning (tinyML…
BIG-bench Machine LearningElectrical EngineeringMulti-source Learning via Completion of Block-wise Overlapping Noisy Matrices
Matrix completion has attracted attention in many fields, including statistics, applied mathematics, and electrical engineering. Most of the works focus on the independent sampling models under which the observed entries…
Electrical EngineeringKnowledge GraphsMachine TranslationMatrix CompletionEngineering Education in the Age of Autonomous Machines
In the past few years, we have observed a huge supply-demand gap for autonomous driving engineers. The core problem is that autonomous driving is not one single technology but rather a complex system integrating many tec…
Autonomous DrivingElectrical EngineeringMulti-objective design of multilayer microwave dielectric filters using artificial bee colony algorithm
Artificial bee colony algorithm (ABC) developed by inspiring the foraging phenomena of the natural honey bees is a simple and powerful metaheuristic optimization algorithm. The performance of single objective ABC perform…
Electrical EngineeringMetaheuristic OptimizationOptimizing the reliability of a bank with Logistic Regression and Particle Swarm Optimization
It is well-known that disciplines such as mechanical engineering, electrical engineering, civil engineering, aerospace engineering, chemical engineering and software engineering witnessed successful applications of relia…
Electrical EngineeringregressionA survey on dragonfly algorithm and its applications in engineering
The dragonfly algorithm was developed in 2016. It is one of the algorithms used by researchers to optimize an extensive series of uses and applications in various areas. At times, it offers superior performance compared …
Electrical EngineeringSurveyProjective view at Optimization Problem for Multiband Filter
The best uniform rational approximation of the \emph{sign} function on two intervals separated by zero was explicitly solved by E.I. Zolotar\"ev in 1877. This optimization problem is the initial step in the staircase of …
Electrical EngineeringOnline Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data
Non-intrusive load monitoring (NILM) aims at separating a whole-home energy signal into its appliance components. Such method can be harnessed to provide various services to better manage and control energy consumption (…
Electrical EngineeringNon-Intrusive Load Monitoring