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ORCIDStavros Kalafatis
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Journal Articles
- 2024
[j5]Sambandh Bhusan Dhal
, Stavros Kalafatis, Ulisses Braga-Neto, Krishna Chaitanya Gadepally, Jose Luis Landivar-Scott, Lei Zhao, Kevin J. Nowka, Juan Landivar, Pankaj Pal, Mahendra Bhandari:
Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops. Remote. Sens. 16(11): 1906 (2024)- 2023
- [j4]Sambandh Bhusan Dhal, Shikhadri Mahanta, Jonathan Gumero, Nick O'Sullivan, Morayo Soetan, Julia Louis, Krishna Chaitanya Gadepally, Snehadri Mahanta, John Lusher, Stavros Kalafatis:
An IoT-Based Data-Driven Real-Time Monitoring System for Control of Heavy Metals to Ensure Optimal Lettuce Growth in Hydroponic Set-Ups. Sensors 23(1): 451 (2023) - 2022
- [j3]Sambandh Bhusan Dhal, Kyle Jungbluth, Raymond Lin, Seyed Pouyan Sabahi, Muthukumar Bagavathiannan, Ulisses Braga-Neto, Stavros Kalafatis:
A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations. Sensors 22(9): 3510 (2022) - [j2]Swarnabha Roy, Tony Vo, Steven Hernandez, Austin Lehrmann, Asad Ali, Stavros Kalafatis:
IoT Security and Computation Management on a Multi-Robot System for Rescue Operations Based on a Cloud Framework. Sensors 22(15): 5569 (2022) - 2005
- [j1]Julian Ming-Sung Cheng, Stavros Kalafatis, Gwo-Ji Sheen, Laura Hsing-Jung Wu:
Towards a Typology of eChannels of Distribution - An e-Tailer's Perspective. Int. J. Electron. Bus. Manag. 3(1): 66-74 (2005)
Conference and Workshop Papers
- 2024
- [c12]Andrew Miller, Stavros Kalafatis:
A Flexible Framework For Using NLP In XR. XR (1) 2024: 94-113 - [c11]Florian Spiess, Swarnabha Roy, Mattias Hollmann, Christopher Cosway, Stavros Kalafatis:
A Realistic Industrial Car Factory Digital Twin Simulation for Virtual Reality Applications and Robotic Training. CASE 2024: 1419-1426 - [c10]Souryendu Das, Stavros Kalafatis:
Speed Testing for Measuring Network Traffic in a Smart Network Switch. ICNC 2024: 446-450 - 2023
- [c9]Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Mahendra Bhandari, Juan Landivar, Stavros Kalafatis, Kevin J. Nowka:
A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops. CISS 2023: 1-4 - [c8]Andrew Jerald Miller, Stavros Kalafatis:
Mixed Reality Equipment Training: A Pilot Study Exploring the Potential Use of Mixed Reality to Train Users on Technical Equipment. ICVARS 2023: 105-113 - [c7]Souryendu Das, Stavros Kalafatis:
Network Coding to Reduce Congestion and Improve Memory Buffer in Smart Switch. ISNCC 2023: 1-6 - [c6]Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Stavros Kalafatis, Kevin J. Nowka:
Realistic Predictors for Regression and Semantic Segmentation. SERA 2023: 153-155 - 2022
- [c5]Swarnabha Roy, Dharmendra Baruah, Steven Hernandez, Stavros Kalafatis:
Distributed Computation and Dynamic Load balancing in Modular Edge Robotics. IRC 2022: 58-61 - [c4]Souryendu Das, Weiting Lian, Stavros Kalafatis, Pavlos I. Lazaridis:
A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management. NoF 2022: 1-5 - 2019
- [c3]Ryan Vrecenar, Michael Hall, Joshua Zshiesche, Mahesh Naidu, Jeyavijayan Rajendran, Stavros Kalafatis:
Red Teaming a Multi-Colored Bluetooth Bulb. ICCD 2019: 293-296 - 2018
- [c2]Dean Knudson, Stavros Kalafatis, Carsten Kleiner, Stephen Zahos, Barbara Seegebarth, Jonas Detterfelt, Iman Avazpour, Kristian Sandahl, Peter Gorder, Jeewani Anupama Ginige, Alex Radermacher, Hugo Caballero, Humberto Gomez, Mikael Roos:
Global software engineering experience through international capstone project exchanges. ICGSE 2018: 54-58 - 2016
- [c1]Mohammed Al-Momin, Pavlos I. Lazaridis, John Cosmas, Zaharias D. Zaharis, Stavros Kalafatis, Albena Mihovska, Ian A. Glover:
QoS-aware ant routing with security constraints in optical fibre networks by using RGB pheromones. BlackSeaCom 2016: 1-5
Informal and Other Publications
- 2024
- [i1]Wenqi Jia, Youyuan Liu, Zhewen Hu, Jinzhen Wang, Boyuan Zhang, Wei Niu, Junzhou Huang, Stavros Kalafatis, Sian Jin, Miao Yin:
NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data. CoRR abs/2409.05785 (2024)
Coauthor Index
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last updated on 2024-11-08 21:28 CET by the dblp team
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