38 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Victorian Institute of TeachingAU3 papers
- Keio UniversityJP2 papers
- KTH Royal Institute of TechnologySE2 papers
- South Australia PathologyAU2 papers
- Bangalore Diabetes CentreIN1 paper
- Carnegie Mellon UniversityUS1 paper
- Cavite State UniversityPH1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- General Sir John Kotelawala Defence UniversityLK1 paper
- Green Valley High SchoolUS1 paper
- Helwan UniversityEG1 paper
- Jamia Millia IslamiaIN1 paper
13 papers
Event Detection and Classification for Long Range Sensing of Elephants Using Seismic Signal
Jaliya L. Wijayaraja, Janaka L. Wijekoon, Malitha Wijesundara
Detecting elephants through seismic signals is an emerging research topic aimed at developing solutions for Human-Elephant Conflict (HEC). Despite the promising results, such solut…
Evaluation of Machine Learning Models in Student Academic Performance Prediction
A. G. R. Sandeepa, Sanka Mohottala
This research investigates the use of machine learning methods to forecast students' academic performance in a school setting. Students' data with behavioral, academic, and demogra…
Early Diagnosis and Severity Assessment of Weligama Coconut Leaf Wilt Disease and Coconut Caterpillar Infestation using Deep Learning-based Image Processing Techniques
Samitha Vidhanaarachchi, Janaka L. Wijekoon, W. A. Shanaka P. Abeysiriwardhana +1
Global Coconut (Cocos nucifera (L.)) cultivation faces significant challenges, including yield loss, due to pest and disease outbreaks. In particular, Weligama Coconut Leaf Wilt Di…
Towards Long Range Detection of Elephants Using Seismic Signals; A Geophone-Sensor Interface for Embedded Systems
Jaliya L. Wijayaraja, Janaka L. Wijekoon, Malitha Wijesundara +1
The long-distance detection of the presence of elephants is pivotal to addressing the human-elephant conflict. IoT-based solutions utilizing seismic signals originating from the mo…
'The Taurus': Cattle Breeds & Diseases Identification Mobile Application using Machine Learning
R. M. D. S. M. Chandrarathna, T. W. M. S. A. Weerasinghe, N. S. Madhuranga +3
Dairy farming plays an important role in agriculture for thousands of years not only in Sri Lanka but also in so many other countries. When it comes to dairy farming cattle is an i…
Criminal Investigation Tracker with Suspect Prediction using Machine Learning
S. J. Dilmini, R. A. T. M. Rajapaksha, Erandika Lakmali +3
An automated approach to identifying offenders in Sri Lanka would be better than the current system. Obtaining information from eyewitnesses is one of the less reliable approaches…
Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation
Asiri Lindamulage, Nuwan Kodagoda, Shyam Reyal +2
Magnitude-based pruning is a technique used to optimise deep learning models for edge inference. We have achieved over 75% model size reduction with a higher accuracy than the orig…
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity
Manuela Nayantara Jeyaraj, Dharshana Kasthurirathna
Similarity is a comparative-subjective measure that varies with the domain within which it is considered. In several NLP applications such as document classification, pattern recog…
An Optical physics inspired CNN approach for intrinsic image decomposition
Harshana Weligampola, Gihan Jayatilaka, Suren Sritharan +4
Intrinsic Image Decomposition is an open problem of generating the constituents of an image. Generating reflectance and shading from a single image is a challenging task specifical…
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms
Snehalkumar, S. Gaikwad, Durim Morina +35
Paid crowdsourcing platforms suffer from low-quality work and unfair rejections, but paradoxically, most workers and requesters have high reputation scores. These inflated scores,…
Advances in Natural Language Question Answering: A Review
K. S. D. Ishwari, A. K. R. R. Aneeze, S. Sudheesan +3
Question Answering has recently received high attention from artificial intelligence communities due to the advancements in learning technologies. Early question answering models u…
On the Convergence of Alternating Direction Lagrangian Methods for Nonconvex Structured Optimization Problems
Sindri Magnússon, Pradeep Chathuranga Weeraddana, Michael G. Rabbat +1
Nonconvex and structured optimization problems arise in many engineering applications that demand scalable and distributed solution methods. The study of the convergence properties…
Extensions of Fast-Lipschitz Optimization
Martin Jakobsson, Carlo Fischione, Pradeep Chathuranga Weeraddana
The need of fast distributed solvers for optimization problems in networked systems has motivated the recent development of the Fast-Lipschitz optimization framework. In such an op…