Use Case of Quay Crane Container Handling Operations Monitoring using ICT to Detect Abnormalities in Operator Actions. - Sergej Jakovlev; Tomas Eglynas; Mindaugas Jusis; Saulius Gudas; Valdas Jankunas; Miroslav Voznák (VEHITS, 2020)

Application of a Mobile LoRaWAN System in a Container Terminal to Collect Sensory Data. - Sergej Jakovlev; Mindaugas Jusis; Tomas Eglynas; Miroslav Voznák; Jaromir Tovarek; Pavol Partila (ICUMT, 2021)

Application of Neural Network Predictive Control Methods to Solve the Shipping Container Sway Control Problem in Quay Cranes. - Sergej Jakovlev; Tomas Eglynas; Miroslav Voznák (IEEE Access, 2021)

Detecting Shipping Container Impacts with Vertical Cell Guides inside Container Ships during Handling Operations. - Sergej Jakovlev; Tomas Eglynas; Miroslav Voznák; Mindaugas Jusis; Pavol Partila; Jaromir Tovarek; Valdas Jankunas (Sensors, 2022)

Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Data. - Edvinas Pocevicius; Donatas Paulauskas; Tomas Eglynas; Valdas Jankunas; Sergej Jakovlev; Mindaugas Jusis; Dovydas Lizdenis (VEHITS, 2025)

Exploring Generative Adversarial Networks: Comparative Analysis of Facial Image Synthesis and the Extension of Creative Capacities in Artificial Intelligence. - Tomas Eglynas; Dovydas Lizdenis; Aistis Raudys; Sergej Jakovlev; Miroslav Voznák (IEEE Access, 2025)