Mapping Porous Solid Catalysts with Fluorescent Molecules and Nanoparticles

Autor: Maris, Jacob Jan Erik

In this PhD thesis, fluorescent molecules or nanoparticles were investigated to probe the pore space of heterogeneous catalysts and mass transport therein. The fluorescent emitters (guests) report on the properties of the catalyst (hosts) via guest�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______101::2ee19c69e3bc3f0c68cba899fcaf8fd0
https://dspace.library.uu.nl/handle/1874/428112

Mapping Porous Solid Catalysts with Fluorescent Molecules and Nanoparticles

Autor: Maris, Jacob Jan Erik, Faculteit Betawetenschappen

In this PhD thesis, fluorescent molecules or nanoparticles were investigated to probe the pore space of heterogeneous catalysts and mass transport therein. The fluorescent emitters (guests) report on the properties of the catalyst (hosts) via guest�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::46a5a1f45644cfe487bdf1e06db46cc6
https://dspace.library.uu.nl/handle/1874/428112

Open Information Extraction for Knowledge Representation: Triple Extraction and Information Retrieval From Unstructured Text

The field of Natural Language Processing (NLP) focuses on developing computational techniques to analyze and extract information from human language. With the exponential growth of unstructured textual data, NLP-based techniques have become essential

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dris___00893::bf5c822780c30f8f5a0b5d37790b4b1b
https://hdl.handle.net/1874/428396

Data- and machine-learning-driven retrieval and imaging of seismic-reflection data in complex media

Autor: Peng, Haorui

The first study in this thesis is designed to cover both approaches of Marchenko redatuming and Marchenko-based primary estimation in a range of subsampling scenarios, providing insights that can inform acquisition sampling choices as well as process

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______101::f36626cb0d5594d51e5fc521b1ae467f
https://dspace.library.uu.nl/handle/1874/427921

Artificial Intelligence in Healthcare: Transitioning to Routine Clinical Care

Autor: Paranjape, Ketan

Publikováno v: Paranjape, K 2022, ' Artificial Intelligence in Healthcare: Transitioning to Routine Clinical Care ', Doctor of Philosophy, Vrije Universiteit Amsterdam, Amsterdam . < https://hdl.handle.net/1871.1/51be6461-5623-4cf4-b9e8-8fb130e0347a >
Paranjape, K 2022, ' Artificial Intelligence in Healthcare: Transitioning to Routine Clinical Care ', PhD, Vrije Universiteit Amsterdam, Amsterdam .

This thesis fills a knowledge gap in implementing AI for patient care by understanding the challenges with today’s algorithms, demonstrating the value of using AI techniques like machine learning on disease states like sepsis and oncology to identi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0d7bf5d50f63bfcde308c5badbebc2c7
https://research.vumc.nl/en/publications/abe7e73b-bd4b-448e-a223-becd2b44f511