Kamal Acharya

Orcid: 0000-0002-9712-0265

Affiliations:
  • University of Maryland, SONG Lab, Department of Information Systems, Baltimore County, Baltimore, MD, USA
  • Embry-Riddle Aeronautical University, Department of Electrical Engineering and Computer Science, FL, USA


According to our database1, Kamal Acharya authored at least 12 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey.
CoRR, August, 2025

A Data-Driven Approach to Enhancing Gravity Models for Trip Demand Prediction.
CoRR, June, 2025

Neurosymbolic AI for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks.
CoRR, February, 2025

Neurosymbolic Approach for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks.
Proceedings of the International Wireless Communications and Mobile Computing, 2025

2024
A Survey on Symbolic Knowledge Distillation of Large Language Models.
IEEE Trans. Artif. Intell., December, 2024

Neurosymbolic Reinforcement Learning and Planning: A Survey.
IEEE Trans. Artif. Intell., May, 2024

Decoding Android Malware with a Fraction of Features: An Attention-Enhanced MLP-SVM Approach.
Proceedings of the Network and System Security - 18th International Conference, 2024

Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Enhancing Forecasting for Advanced Air Mobility.
Proceedings of the IEEE International Conference on Big Data, 2024

Demand Modeling for Advanced Air Mobility.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Long Short-Term Memory Neural Network assisted Peak to Average Power Ratio Reduction for Underwater Acoustic Orthogonal Frequency Division Multiplexing Communication.
KSII Trans. Internet Inf. Syst., 2023

SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection.
Proceedings of the IEEE International Conference on Data Mining, 2023


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