Papers in Production

ACCEPTED

 Vytautas Paura, Virginijus Marcinkevičius  
Hyperspectral Unmixing of Agricultural Images Taken From UAV Using Adapted U-Net Architecture

AWAITING REVISION

Martins Sneiders, Evalds Urtans, Amjad ABU SAA
Time Series Model for Predicting Student Grades on the Moodle Platform

Eduards Blumbergs, Krišjānis Nesenbergs, Pēteris Paikens
Bluetooth Classic Protocol Fuzzing Practices

Ainārs Belovs-Dvinskis, Vitālijs Komašilovs
JavaScript Source Code Functional Domain Recognition Using Sentence Embeddings Clustering

Adel Fridhi
The Impact of Augmented Reality on Student Motivation and Learning in Management Sciences: The Case of Stock Market Analysis

Simona Zavackė, Linas Bukauskas
Practical Assessment of the SSH Services’ Transition to Post-Quantum Cryptography

Matiss Locans, Evalds Urtans
ColorMEF: A Novel Transformer Based Multi-Exposure Fusion Model

Aurelija Kasparavičiūtė, Rūta Simanavičienė, Svetlana Danilenko
Exploring the Connection Between Personality Traits and Learning Strategies in Mathematics

IN REVIEW

Yevhenii Lashko, Serhii Sukach, Ivan Laktionov, Olha Chencheva, Dmytro Rieznik, Olena Kortsova
Predictive Mathematical and Computer Model for Determining the Harmful Effects of Dust Pollution on the Environment and Workers

Jānis Bičevskis, Reinis Oditis, Ivo Oditis, Zane Bicevska
Tehnology for  Blackcurrant Plantations Control Usig Drones

Maija Kāle, Marija Krūmiņa, Lily Keledorme, Mary Numafo
M-Learning for Climate Resilience: A Case Study of Latvia’s Indigenous Crop Initiative in Ghana

Galina Merkurjeva, Jurijs Merkurjevs, Andrejs Romanovs, Vitalijs Bolsakovs, Rolands Feldmanis
Data-driven Modeling and Simulation in Transportation Management through Cross-Sectoral Collaboration

Agris Šostaks, Sergejs Rikačovs, Artūrs Sproģis, Oskars Mētra, Uldis Lavrinovičs
Improving NER State-of-the-art for Latvian with LLM and Few-Shot Learning

Martins Vecstaudzs, Kaspars Osis
Coordinated Vulnerability Disclosure and the Case of Baltic States

Zigurds Markovics, Ieva Markovica, Normunds Limba, Matiss Erins
Topological Model of Fatigue and Drowsiness and Its Analysis

Marwa T. Albayati, Mohd Ezanee Bin Rusli, Moamin A Mahmoud, Aws A. Abdulsahib, Mohammed F. Alomari, Sallar S. Murad
A systematic Review on Classification Techniques of microorganisms: Challenges and Recommendations 

Matīss Eriņš, Zigurds Markovičs
Analysis of Electroencephalogram Parameters to Determine Human Drowsiness

Matīss Eriņš, Zigurds Markovičs, Normunds Limba
Computer Implementation of a Drowsiness Monitoring Expert System

Oleksii Chalyi
Assessing Wi-Fi Security Protocols: A Study of Dictionary Attack Performance

Oleh Chaplia, Halyna Klym
Private Microservice with Retrieval-Augmented Generation and Embedded LLM

Viktor Shynkarenko, Oleksandr Zhevaho
Constructive-synthesizing Modeling of Debugging Process Visualization

Inga Vagale, Elmars Lipenbergs, Vjaceslavs Bobrovs
The Concept for Evaluation of Mobile Internet QoS by Means of Big Data Analysis

Dražen Smiljanić, Zvonko Trzun, Mario Šipoš
Challenges in AI-Based Military Target Detection: Camouflage, Deception, and Multi-Model Evaluation

Muhammed Maruf Öztürk
On the Devising Loss Function to Guide Code Comment Inconsistency Detection

Tetiana Babenko, Kateryna Kolesnikova, Saule Amanzhonova, Nikolay Kiktev, Boris Hrudynin, Ivan Savchenko
AI-Driven Assessment of Information Security Maturity for Sustainable Enterprise Systems

Marwa Tariq Albayati, Mohd Ezanee Bin Rusli, Moamin Mahmoud, Aws Abdulsahib, Mohammed Alomari, Sallar Murad
A systematic Review on Classification Techniques of microorganisms: Challenges and Recommendations

Aleksandr Bushma
Femto OS: Architecture and Applications

Imelda Zadeja
ADF²S Feature Set of Anomaly Detection Framework Based on Knowledge Discovery

Željko Džafič, Branko Milosavljevič, Mladen Čučak, Slobodanka Pavlovič
Distributed Agricultural Monitoring Using BigchainDB

Arturs Nikulins, Inese Poļaka, Kaspars Sudars
Assessing the Impact of Backdoor Attacks on CNN-Based Classification in Medical ImagingA 

Naser AlDuaij
AnROM: A Methodology and Comparative Study of Custom Android Systems

Mariia Hanchenko, Serhii Gakhov
Method for Determining a Gradient Boosting Model with Optimal Hyperparameters for Classifying the Process of Functioning of Energy-Dependent Memory of an Organization's Information System Assets

 Vladyslav Los
Advanced Non-Intrusive Load Monitoring (NILM) Algorithm Based on Genetic Algorithm and Greedy Filling