Haku
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A Study on Automatic License Plate Recognition
(2022)
Automatic license plate recognition, ALPR, is the process of detecting license plates, and recognizing the characters, present in any given image. ALPR can be applied in many situations to reduce the requirement for manned ...
Deep learning approaches for maritime ship detection from inshore and offshore imagery
(2022)
Maritime surveillance and situational awareness are of topical interest but require massive amounts of human labour if done manually in a traditional setting. The human factor can make this process also highly expensive ...
3D CN-LSTM for prediction of medical nanoparticle properties
(2021)
Cancer is an increasing and already one of the most common causes of deathin developed countries. One way to fight cancer tumours is with targeted anti-tumour drug delivering nanoparticles (NPs). NPs can be ...
Sandpaper Defect Detection
(2021)
Sandpaper is an abrasive material used to smoothen, clean, or cut a surface. Sandpaper is made by gluing grains such as garnet or emery with a coating paper. Sometimes grains are not glued adequately with a coating paper ...
Modeling molecular trajectories using long short-term memory with stacked state pooling
(2021)
Atomistic molecular dynamics can be used for simulating large molecular systems with great accuracy. The downside to this is that simulations are computationally expensive and thus take a long time to perform. Many times, ...
Nao Humanoid for physical therapy rehabilitation
(2021)
Rehabilitation of patients in the medical field is an extensive area of study where patients are assisted in recovery of their body functions. Furthermore, this enables regaining daily routine functions, speech impairment ...
Automatic Image Annotation Using Transfer Learning on Convolutional Neural Networks
(Åbo Akademi, 2018)
Categorizing images in order to create image tags for easy searching is often a manual, and thus time-consuming, process. By utilizing a convolutional neural network to perform image classification, one can automate this ...
Identifying Risk-Prone Behavior of Seafarers by Using Explainable AI
(2021)
Despite the advancements in technologies for maritime navigation, maritime acci-dents are still a big problem in the industry. Extensive research has been done tostudy these accidents and try to find solutions to avoid ...
Automatic Performance Testing of Maritime Simulation Models
(2023)
Simulation models are essential tools in the maritime industry for predicting ship behavior and interactions in changing marine environments. This report explores the importance of these models and outlines how they might ...