Sachithra Hemachandra

Sri Venkateswara University — India

Computer Science · Physical Sciences

11h-index421citations27works0.02yr avg
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Research Topics

Multimodal Machine Learning Applications(10), Robotics and Sensor-Based Localization(9), Robotic Path Planning Algorithms(6), Advanced Image and Video Retrieval Techniques(5), Energy Load and Power Forecasting(3)

Publications27 total

Clustered Wireless Sensor Networks with Blockchain-Enabled Multi-hop Data Transmission
Lecture notes in networks and systems·2025
Improvement of Communication Stability by Geo-Drone-Based SOA Routing Algorithm in Emergency Area Ad-Hoc Network
Lecture notes in networks and systems·2025
Hybrid Computational Intelligent Techniques for Electrical Load Forecasting
2024
PROFIT: A Specialized Optimizer for Deep Fine Tuning
arXiv (Cornell University)·2024Open Access
Electrical Load Forecasting by using CANFIS Controller with Gaussian Function
2024
Analyzing Tweets Based on Emotions
Advanced technologies and societal change·2024
Product Recommendation System Using Natural Language Processing
Advanced technologies and societal change·2024
An automatic multi-class lung disease classification using deep learning based bidirectional long short term memory with spiking neural network
Multimedia Tools and Applications·2023· 6 cited
Lung Carcinoma Detection using Deep learning
2023· 6 cited
Language Understanding for Field and Service Robots in a Priori Unknown Environments
Field Robotics·2022· 9 citedOpen Access
Language Understanding for Field and Service Robots in a Priori Unknown Environments
arXiv (Cornell University)·2021· 1 citedOpen Access
Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands
arXiv (Cornell University)·2017· 23 citedOpen Access
Electrical Load Forecasting using GFF Neural Network-A Sensitivity Analysis Perspective
Indian Journal of Science and Technology·2017Open Access
Inferring Maps and Behaviors from Natural Language Instructions
Springer tracts in advanced robotics·2015· 52 cited
Information-theoretic dialog to improve spatial-semantic representations
2015· 18 cited
Learning models for following natural language directions in unknown environments
2015· 66 cited
Learning Models for Following Natural Language Directions in Unknown\n Environments
arXiv (Cornell University)·2015Open Access
Learning Models for Following Natural Language Directions in Unknown Environments
arXiv (Cornell University)·2015· 16 citedOpen Access
Information Theoretic Question Asking to Improve Spatial Semantic Representations
National Conference on Artificial Intelligence·2014· 5 cited
A framework for learning semantic maps from grounded natural language descriptions
The International Journal of Robotics Research·2014· 33 cited
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Frequent Co-authors

Matthew R. Walter(14), Seth Teller(10), Felix Duvallet(6), Thomas M. Howard(6), Nicholas Roy(6), Stefanie Tellex(4), Anthony Stentz(3), Jean Oh(3), Nicholas Roy(3), Anthony Stentz(3), K. Praveena(3), Thomas Kollar(2), Bianca S. Homberg(2), Siddharth Patki(2), Andrea F. Daniele(2), Ethan Fahnestock(2), C. Vimala(2), Beebi Naseeba(2), K. Suneetha(2), K. Reddy Madhavi(2)