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A Dynamic-Bayesian-Network-Based Approach to Predict Immediate Future Action of an Intelligent Agent
Predicting immediate future actions taken by an intelligent agent is considered an essential problem in human-autonomy teaming (HAT) in many fields, such as industries and transportation, particularly to improve human comprehension of the agent as…
Implementation Genetic Algorithm for Optimization of Kotlin Software Unit Test Case Generator
Unit testing has a significant role in software development and its impacts depend on the quality of test cases and test data used. To reduce time and effort, unit test generator systems can help automatically generate test cases and test data.…
Improving Remote Sensing Change Detection Via Locality Induction on Feed-forward Vision Transformer
The main objective of Change Detection (CD) is to gather change information from bi-temporal remote sensing images. The recent development of the CD method uses the recently proposed Vision Transformer (ViT) backbone. Despite ViT being superior to…
Note on Algorithmic Investigations of Juosan Puzzles
We investigate several algorithmic and mathematical aspects of the Juosan puzzle—a one-player pencil-andpaper puzzle introduced in 2014 and proven NP-complete in 2018. We introduce an optimized backtracking technique for solving this puzzle by…
Improving Classification Performance on Imbalance Medical Data using Generative Adversarial Network
In many real-world applications, the problem of data imbalance is a common challenge that
significantly affects the performance of machine learning algorithms. Data imbalance means each
target of classes is not balanced. This problem often…
significantly affects the performance of machine learning algorithms. Data imbalance means each
target of classes is not balanced. This problem often…
An Alternative for Kernel SVM when Stacked with a Neural Network
Many studies stack SVM and neural network by utilzing SVM as an output layer of the neural network. However, those studies use kernel before the SVM which is unnecessary. In this study, we proposed an alternative to kernel SVM and proved why kernel…
Encoder-Decoder with Atrous Spatial Pyramid Pooling for Left Ventricle Segmentation in Echocardiography
Assessment of cardiac function using echocardiography is an essential and widely used method. Assessment by manually labeling the left ventricle area can generally be time-consuming, error-prone, and has interobserver variability. Thus, automatic…
Fine Tuning of Interval Configuration for Deep Reinforcement Learning Based Congestion Control
It is apparent that various internet services in today’s digital ecosystem effectuate different types of networks’ quality of services (QoS) requirements. This condition, in fact, adds another level of complexity to the current network congestion…
Biometric System for Person Authentication Using
Retinal Vascular Branching Pattern
The person’s retina has its uniqueness that can be used as biometric recognition. The use of the retina
as a marking feature in biometrics is more accurate in making calls, verification, and authentication.
Retinal biometric characteristics are…
as a marking feature in biometrics is more accurate in making calls, verification, and authentication.
Retinal biometric characteristics are…
A Hybrid Virtual Assistant for Legal Domain Based on Information Retrieval and Knowledge Graphs
Virtual assistants have gained popularity across various domains, including the legal field, where they serve to offer guidance and aid in the form of law retrieval. In this research, our aim is to develop a legal virtual assistant that combines…