JUVANČIČ HACE, MATEJ
V diplomski nalogi je opisan postopek razvijanja algoritmov, ki napovedujejo prekritost sonca z oblaki. V času ogromnega naraščanja števila elektrarn na omrežju, ki jih poganjajo obnovljivi viri, postaja izjemno pomembno tudi kratkoročno napovedovanje proizvodnje električne energije. Prav tako pa je kratkoročno napovedovanje temelj za trgovanje z e...
Kargul, Radek (author)
Spending time in front of screens has become an inescapable activity, which might be interrupted by unrelated external causes. While automatic approaches to identify mind-wandering (MW) have already been investigated, past research was done with self-reports or physiological data. This work explores automated detection utilizing solely facial expre...
Križaj, Janez Dobrišek, Simon Štruc, Vitomir
Most commercially successful face recognition systems combine information from multiple sensors (2D and 3D, visible light and infrared, etc.) to achieve reliable recognition in various environments. When only a single sensor is available, the robustness as well as efficacy of the recognition process suffer. In this paper, we focus on face recogniti...
Guček Puhar, Enej Korat, Lidija Erič, Miran Jaklič, Aleš Solina, Franc
A rare and valuable Palaeolithic wooden point, presumably belonging to a hunting weapon, was found in the Ljubljanica River in Slovenia in 2008. In order to prevent complete decay, the waterlogged wooden artefact had to undergo conservation treatment, which usually involves some expected deformations of structure and shape. To investigate these cha...
Navarro, Pedro J Miller, Leanne Díaz-Galián, María Victoria Gila-Navarro, Alberto Aguila, Diego J Egea-Cortines, Marcos
Published in
GigaScience
Background The combination of computer vision devices such as multispectral cameras coupled with artificial intelligence has provided a major leap forward in image-based analysis of biological processes. Supervised artificial intelligence algorithms require large ground truth image datasets for model training, which allows to validate or refute res...
Qiu, Wenqi Zeng, Qinghua Liu, Jianye Luo, Yixue Huang, Yan
Published in
Measurement Science and Technology
High-precision positioning in areas with unobtrusive features is difficult to achieve with visual based indoor positioning solutions. Most current solutions offer low precision and are expensive and/or require a priori training. A ceiling distributed on the same plane is regularly arranged and widespread in structured indoor environments. We propos...
li;, guoming
Individual feedlot beef cattle identification represents a critical component in cattle traceability in the supply food chain. It also provides insights into tracking disease trajectories, ascertaining ownership, and managing cattle production and distribution. Animal biometric solutions, e.g., identifying cattle muzzle patterns (unique features co...
Smith, Leslie N. Conovaloff, Adam
Published in
Frontiers in Artificial Intelligence
Reaching the performance of fully supervised learning with unlabeled data and only labeling one sample per class might be ideal for deep learning applications. We demonstrate for the first time the potential for building one-shot semi-supervised (BOSS) learning on CIFAR-10 and SVHN up to attain test accuracies that are comparable to fully supervise...
Wachter, Nicholas A
As drone and computer vision technology has been improving, many fields of study have been quick to utilize it to improve the accuracy and ease of data collection. The combination of the two technologies is perfect for surveying large areas and identifying features of interest. Marine science utilizes these technologies for activities such as anima...
Sun, Jennifer Wu, Crystal Sharma, Tushar Lawrence, J'Nai
Alzheimer’s disease is a form of dementia that affects a person's memory and quality of life as their brain deteriorates. This disease can present itself with frequent memory loss, displacing oneself in unknown location, and often physical reduction of the brain. Alzheimer’s is estimated to affect 5.8 million people in the United States with no cur...