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Publication search results
found 103 matches
- 2024
- Ibrahim M. Abdel-Motaleb, Tyler Brooks:
Investigation of Traps Effect on 2D-MoS2 Photoresistor. EIT 2024: 157-162 - Ibrahim M. Abdel-Motaleb, Tyler Brooks:
Study of the Effect of Strain on 2D-MoS2 Photoresistor. EIT 2024: 163-166 - Brook Abegaz, Noah Muller:
Design of a Convolutional Neural Network and a Modified Genetic Algorithm for Power Grid Disturbance Classification. EIT 2024: 686-691 - Tanvir Ahmed, Sydul Arefin, Rezwanul Parvez, Fariha Jahin, Fnu Sumaiya, Munjur Hasan:
Advancing Mobile Sensor Data Authentication: Application of Deep Machine Learning Models. EIT 2024: 538-544 - Md Shahin Alam, Il-Seop Shin, Seyed Ali Arefifar:
Energy Resource Scheduling in Microgrid-Integrated Power Distribution Systems to Minimizing Grid Dependence. EIT 2024: 428-433 - Tariq Alluhaidan, Darsana Josyula:
Weight aggregation methods for federated learning in healthcare - A comparative empirical analysis. EIT 2024: 434-438 - Ahmad Almomani, Md Shahin Alam, Seyed Ali Arefifar:
Review of Power System Resilience: Operation Stages, Vulnerabilities, and Modeling Approaches. EIT 2024: 297-302 - Khalifa Alremeithi, Winston Sealy:
Scalable Multi Input Multi Output (MIMO) DC-DC buck converter. EIT 2024: 1-7 - Khalifa Alremeithi, Winston Sealy:
Internet of Things (IoT) in Smart Grids: A Review. EIT 2024: 1-6 - Kazi Abdullah Al Arafat, Kode Creer, Anjan Debnath, Temitayo O. Olowu, Imtiaz Parvez:
PV-Power Forecasting using Machine Learning Techniques. EIT 2024: 279-284 - Kazi Abdullah Al Arafat, Kode Creer, Anjan Debnath, Temitayo O. Olowu, Imtiaz Parvez:
PV-Power Forecasting using Machine Learning Techniques. EIT 2024: 480-484 - Sydul Arefin, Md Minhaz Chowdhury, Rezwanul Parvez, Tanvir Ahmed, A. F. M. Sydul Abrar, Fnu Sumaiya:
Understanding APT detection using Machine learning algorithms: Is superior accuracy a thing? EIT 2024: 532-537 - Sydul Arefin, Rezwanul Parvez, Tanvir Ahmed, Mostofa Ahsan, Fnu Sumaiya, Fariha Jahin, Munjur Hasan:
Retail Industry Analytics: Unraveling Consumer Behavior through RFM Segmentation and Machine Learning. EIT 2024: 545-551 - Bifta Sama Bari, Sheikh K. Ghafoor, Kumar Yelamarthi:
Performance Analysis of a Hybrid Federated-Centralized Learning Framework. EIT 2024: 1-6 - Bifta Sama Bari, Kumar Yelamarthi:
Low-Power Wireless Charging: Insights from Simulation and Experiments. EIT 2024: 66-71 - Samar Bayan, Utayba Mohammad, Ahlam Al Mohammad:
Position Falsification Attack Detection In Inter-Vehicle Networks Using Deep Learning. EIT 2024: 621-626 - Shannon Beck, Manohar Raavi, Caleb Dale, Kaija Weishalla, Brennan Worrell:
Survey of Side-Channel Vulnerabilities for Short-Range Wireless Communication Technologies. EIT 2024: 450-456 - Matthew Beech, Kumar Yelamarthi:
A Deep Learning Model to Predict First to Second Year Student Retention. EIT 2024: 324-327 - Ryan Boston, Naeem Seliya, Mounika Vanamala:
Analyzing Tweets for Disaster Prediction. EIT 2024: 439-443 - Matthew Bower, Rajesh Godasu, Nicholas B. N. Nyakundi, Shawn M. Reynolds:
Optimizing Machine Learning Data Pre-Processing for Financial Fraud Detection. EIT 2024: 28-37 - Atilla Ozgur Cakmak, Caleb Capps, Evrim Çolak:
Teaching Semiconductor Fundamentals Interactively using MATLAB: A Transfer Matrix Method Based Education Tool in One-Dimensional Periodic Medium. EIT 2024: 610-615 - Atilla Ozgur Cakmak, Ian Lilly, Steve Mares, John Dannug, Evrim Çolak:
Metasurface-enabled Versatile Matching Layer for Microwave Penetration into the Body. EIT 2024: 603-609 - Kode Creer, Imtiaz Parvez:
A proximal policy optimization based intelligent home solar management. EIT 2024: 463-467 - David Sancho Crespo, Xinrui Yu, Jafar Saniie:
AI-Based Eye Tracking for Human-Computer Interaction. EIT 2024: 241-246 - Raheeq Darweesh, Dustin Cuscino, Andrew Geronimo, Nashwa Elaraby:
An SSVEP-Based Brain Computer Interface Prototype for Assisted Living. EIT 2024: 48-52 - Alexander DeForge, Osama Sam Abuomar:
Classification with Reject in Bayesian Deep Learning for Semantic Segmentation: Automating Pixelwise Reject Thresholds Using Bayes Error. EIT 2024: 9-16 - Dan Dietsche, T. Elise Dettling, Christian Trefftz, Byron DeVries:
Comparing Data Structures Used in Divide-and-Conquer Three-Dimensional Voronoi Diagrams. EIT 2024: 1-5 - Sven Dominka, Jörg Doppler, Henrik Smith, Teresa Litschauer, Catherine Laflamme:
Learning to Drive (Efficiently) : A Feasibility Study for the Application of Reinforce Learning for Automated Powertrain Control Software Engineering. EIT 2024: 111-116 - Steven Engel, Oluwatimilehin Sanyaolu, Blair Bram, Daniel J. Maguire:
An Analysis of Input Inverse System Identification Path Dynamics Estimation. EIT 2024: 705-709 - Tianyang Fang, Jafar Saniie, Sasan Bakhtiari, Alexander Heifetz:
Probabilistic Creep Model for Recalibration of Microwave Cavity Flow Meter. EIT 2024: 552-555
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