Search Results - "Sudars, Kaspars"

Dataset of annotated food crops and weed images for robotic computer vision control by Sudars, Kaspars, Jasko, Janis, Namatevs, Ivars, Ozola, Liva, Badaukis, Niks

“…Weed management technologies that can identify weeds and distinguish them from crops are in need of artificial intelligence solutions based on a computer…”
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Deep Learning for Wind and Solar Energy Forecasting in Hydrogen Production by Nikulins, Arturs, Sudars, Kaspars, Edelmers, Edgars, Namatevs, Ivars, Ozols, Kaspars, Komasilovs, Vitalijs, Zacepins, Aleksejs, Kviesis, Armands, Reinhardt, Andreas

“…This research delineates a pivotal advancement in the domain of sustainable energy systems, with a focused emphasis on the integration of renewable energy…”
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Improving Performance of the PRYSTINE Traffic Sign Classification by Using a Perturbation-Based Explainability Approach by Sudars, Kaspars, Namatēvs, Ivars, Ozols, Kaspars

“…Model understanding is critical in many domains, particularly those involved in high-stakes decisions, e.g., medicine, criminal justice, and autonomous…”
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Automatization of CT Annotation: Combining AI Efficiency with Expert Precision by Edelmers, Edgars, Kazoka, Dzintra, Bolocko, Katrina, Sudars, Kaspars, Pilmane, Mara

“…The integration of artificial intelligence (AI), particularly through machine learning (ML) and deep learning (DL) algorithms, marks a transformative…”
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Modular Neural Networks for Osteoporosis Detection in Mandibular Cone-Beam Computed Tomography Scans by Namatevs, Ivars, Nikulins, Arturs, Edelmers, Edgars, Neimane, Laura, Slaidina, Anda, Radzins, Oskars, Sudars, Kaspars

“…In this technical note, we examine the capabilities of deep convolutional neural networks (DCNNs) for diagnosing osteoporosis through cone-beam computed…”
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Towards Explainability of the Latent Space by Disentangled Representation Learning by Namatēvs, Ivars, Ņikuļins, Artūrs, Slaidiņa, Anda, Neimane, Laura, Radziņš, Oskars, Sudars, Kaspars

“…Deep neural networks are widely used in computer vision for image classification, segmentation and generation. They are also often criticised as “black boxes”…”
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QuinceSet: Dataset of annotated Japanese quince images for object detection by Kaufmane, Edīte, Sudars, Kaspars, Namatēvs, Ivars, Kalniņa, Ieva, Judvaitis, Jānis, Balašs, Rihards, Strautiņa, Sarmīte

“…With long-term changes in temperature and weather patterns, ecologically adaptable fruit varieties are becoming increasingly important in agriculture. For…”
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Three-Dimensional Imaging in Agriculture: Challenges and Advancements in the Phenotyping of Japanese Quinces in Latvia by Kaufmane, Edīte, Edelmers, Edgars, Sudars, Kaspars, Namatēvs, Ivars, Nikulins, Arturs, Strautiņa, Sarmīte, Kalniņa, Ieva, Peter, Astile

“…This study presents an innovative approach to fruit measurement using 3D imaging, focusing on Japanese quince (Chaenomeles japonica) cultivated in Latvia. The…”
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RaspberrySet: Dataset of Annotated Raspberry Images for Object Detection by Strautiņa, Sarmīte, Kalniņa, Ieva, Kaufmane, Edīte, Sudars, Kaspars, Namatēvs, Ivars, Nikulins, Arturs, Edelmers, Edgars

“…The RaspberrySet dataset is a valuable resource for those working in the field of agriculture, particularly in the selection and breeding of ecologically…”
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Denoising Diffusion Algorithm for Single Image Inplaine Super-Resolution in CBCT Scans of the Mandible by Namatevs, Ivars, Sudars, Kaspars, Nikulins, Arturs, Slaidina, Anda, Neimane, Laura, Radzins, Oskars, Edelmers, Edgars

“…Deep Learning models are currently the cornerstone of artificial intelligence in medical imaging. The performance of Deep Learning in medical imaging is…”
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YOLOv5 Deep Neural Network for Quince and Raspberry Detection on RGB Images by Sudars, Kaspars, Namatevs, Ivars, Judvaitis, Janis, Balass, Rihards, Nikulins, Arturs, Peter, Astile, Strautina, Sarmite, Kaufmane, Edite, Kalnina, Ieva

“…Object detection based on deep learning can be widely used in all kinds of agricultural applications. In this paper, we present a deep neural network (DNN)…”
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Semantic Segmentation Using U-Net Deep Learning Network for Quince Phenotyping on RGB and HyperSpectral Images by Sudars, Kaspars, Namatevs, Ivars, Nikulins, Arturs, Balass, Rihards, Peter, Astile, Strautina, Sarmite, Kaufmane, Edite, Kalnina, Ieva

“…Semantic segmentation based on the deep learning techniques can be used for the non-invasive phenotyping of quinces. In this paper we present a deep neural…”
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Adding complexity-reduced filtering of signals to functions of a high resolution Event Timer system by Sudars, Kaspars, Bilinskis, Ivars, Boole, Eugene

“…An approach to complexity-reduced filtering of signals digitized in a way based on precise timing of the signal and sine-wave reference function crossing…”
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Signal Analog-to-Event-to-Digital converting based on periodic sampling and precise event timing by Sudars, Kaspars, Bilinskis, Ivars, Boole, Eugene, Vedin, Vadim

“…Method for signal Analog-to-Event-to-Digital conversion using periodic sampling and precise event timing is described. It is more suitable for analogue…”
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