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About the Collection
This collection contains faculty research from the UNLV Department of Electrical & Computer Engineering. Records are organized by Year, Author, and Title. To view the entire collection of UNLV faculty research across all programs, visit the All Faculty Research collection.
Submissions from 2023
Survey of Transfer Learning Approaches in the Machine Learning of Digital Health Sensing Data, Lina Chato and Emma Regentova
Submissions from 2022
Advances in systems engineering : proceedings of the 28th International Conference on Systems Engineering, Leszek Borzemski, Henry Selvaraj, and Jerzy Świątek
Digitally Predicting Protein Localization and Manipulating Protein Activity in Fluorescence Images Using 4D Reslicing GAN, Yang Jiao, Lingkun Gu, Yingtao Jiang, Mo Weng, and Mei Yang
Adaptive Projectile Fin Control Using Piezoelectric Beam Actuator by G-Passification, Keum W. Lee and Sahjendra N. Singh
CNN-Based Hidden-Layer Topological Structure Design and Optimization Methods for Image Classification, Jian Liu, Haijian Shao, Yingtao Jiang, and Xing Deng
Artificial Intelligence in the Radiomic Analysis of Glioblastomas: A Review, Taxonomy, and Perspective, Ming Zhu, Sijia Li, Yu Kuang, Virginia B. Hill, Amy B. Heimberger, Lijie Zhai, and Shenjie Zhai
Artificial Intelligence in the Radiomic Analysis of Glioblastomas: A Review, Taxonomy, and Perspective, Ming Zhu, Sijia Li, Yu Kuang, Virigina B. Hill, Amy B. Heimberger, Lijie Zhai, and Shenjie Zhai
Submissions from 2021
Current Comparator with SiGe BiCMOS Input Stage for Photon-Counting LiDAR Applications, Gonzalo Arteaga, Sachin P. Namboodiri, Angsuman Roy, and R. Jacob Baker
MissFormer: (In-)Attention-Based Handling of Missing Observations for Trajectory Filtering and Prediction, Stefan Becker, Ronny Hug, Wolfgang Huebner, Michael Arens, and Brendan Morris
Handling Missing Observations with an RNN-based Prediction-Update Cycle, Stefan Becker, Ronny Hug, Wolfgang Huebner, Michael Arens, and Brendan T. Morris
Synthesis of Index Generation Function Using Linear and Functional Decomposition, Grzegorz Borowik, Tadeusz Łuba, Dariusz Wąsicki, and Grzegorz Chmaj
An Automatic Overall Survival Time Prediction System for Glioma Brain Tumor Patients based on Volumetric and Shape Features, Lina Chato, Pushkin Kachroo, and Shahram Latifi
Machine Learning and Radiomic Features to Predict Overall Survival Time for Glioblastoma Patients, Lina Chato and Shahram Latifi
Automated Agronomy: Evaluation of Fruits Ripeness Using Machine Learning Approach, Grzegorz Chmaj, Saugat Sharma, and Henry Selvaraj
A Deep Learning Framework for Prediction of the Mechanism of Action”,, Jingyuan Dai and Shahram Latifi
A Digital Design and Computer Architecture MOOC, David Harris, Joshua Brake, and Sarah L. Harris
On Pareto-Frontier Approximate Computing for Many-Core Systems, Xinyue Hou, Xiaohang Wang, Maurizio Palesi, Amit Kumar Singh, Yingtao Jiang, Mei Yang, Letian Huang, and Junying Chen
Generalized Composite Noncertainty-Equivalence Adaptive Control of a Prototypical Wing Section With Torsional Nonlinearity, Keum W. Lee and Sahjendra N. Singh
Hamiltonian-Based Libration Point Orbit Control on Manifold of Constant Energy, Keum W. Lee and Sahjendra N. Singh
Passivity-based Adaptive Control of Aeroelastic System with Unsteady Aerodynamics and Wind Gust, Keum W. Lee and Sahjendra N. Singh
Adaptive Control of an Aeroelastic System with Unsteady Aerodynamics and Gust Load, Keum W. Lee and Sahjendra N. Singh
Using Machine Learning Techniques to Estimate the Remaining Useful Life of a System with Different Types of Datasets, Carlos Lemus and Shahram Latifi
A Health Detection Model Based on Facial Data, Sunil Manzoor and Shahram Latifi
Assessment of Groundwater Quality and Quantity Using Supervised Machine Learning, Ashika Mettu and Shahram Latifi
ITS Society Conferences, Brendan Morris