Neural Pathways to Health: Deep Learning Applications in Medical Science

Machine Learning algorithms proved to be very helpful in medical science in the presence of enormous amounts of data. Particularly, it analyzes medical data, such as images, genetic information, and patient records, aiding healthcare professionals in faster and more accurate diagnoses. Deep learning has gained significance in automated report generation, expediting the diagnostic process and […]

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Improving Handover Management in 5G New Radio

The demand for higher bandwidth and ultra-lower latency has increased due to the rise of wireless devices. To meet these challenges, fifth generation (5G) new radio (NR) offers enhanced bandwidths with higher data rates and ultra-lower latency for real-time applications. The ultra-dense networks in 5G NR can improve the coverage. However, it can cause problem […]

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Development and Evaluation of Novel Small Molecules Targeting Lysophosphatidic Acid Receptor 1 for the Treatment of Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC), characterized by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor (HER2) expression, exhibits high invasiveness, metastatic potential, and poor prognosis. Current chemotherapy for metastatic TNBC is associated with low response rates and short progression-free survival. It is imperative to find new therapies for this […]

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Access to Cash: The Role of Bank Competition and Entry in Local Markets

One of the objectives of this project is to analyze the impact of policies and regulations on the provision of cash through cash access points – bank branches and ATMs. Currently, there is a proposed acquisition of HSBC by RBC and the potential Laurentian Bank of Canada sale offer two case-studies of consolidation between FIs […]

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Mineral chemistry as an exploration tool for gold and copper deposits

Canada is a world leader in mineral exploration and mining technology, but the discovery of new mineral resources is declining. The development of new mineralogical tools which guide exploration is becoming increasingly important for the mining industry. This study will investigate the potential to use mineral chemistry to develop vectors around Au and Cu deposits […]

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Fostering compassionate care in long-term care settings

Providing compassionate care is essential to the delivery of high quality health care and services, and supports positive health outcomes. Providing compassionate care is an important goal for health care organizations, and to evaluate continuous quality improvement activities we require questionnaires to measure compassionate care. In the long-term care environment, some residents may experience severe […]

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Generation of a remote sensing methodology for the identification and variable chemical control of weeds with ground equipment in sugarcane

The proposed project intends to generate a method for identifying weeds and develop site-specific weed control prescriptions for sugarcane cultivations in Costa Rica using Remote Sensing techniques. Remotely sensed data will be captured using multispectral camera and LiDAR sensors attached to Remotely Piloted Aircraft Systems (RPAS). Images will be processed using machine learning algorithms to […]

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Estimating Sugarcane Maturity Using Remote Sensing Techniques

Sugarcane is native to the warm temperate, tropical regions of the world and is highly weather dependent. Recent climate change has hampered its growth, resulting in reduced yields, forcing farmer to adapt different practices in Costa Rica. There are four main phenological and development stages in Sugarcane. This project is focused on the maturation process […]

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