Beyond Keywords: Semantic Search Framework for Data in Organizations

Next to its essential role of supporting operational and decisional business activities, data also has economic significance. The desire to seek maximum value from their data assets prompts organizations to implement different infrastructures, architectures, governance, and security to facilitate creating and storing huge volume and variety of data. However, these implementations come with challenges as […]

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Super Resolution Model for License Plate Recognition

Our novel method enhances low resolution images from surveillance footage and facilitates automatic recognition of license plates. Even if the frames are blurry and unclear, the proposed model can enhance while prioritizing character and text information detection. This will be beneficial to security, law enforcement and investigation agencies.

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Oscillation-based Fuel Cell Diagnostics

In this project, we propose two diagnostic tools that can identify dynamical processes in various fuel cell operating regimes, using the difference in the time constant of these processes. For example, conductive transport of electrons is faster than diffusive transport of gasses. We oscillate current and pressure at different frequencies, and measure the cell voltage. […]

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Development of in-vitro models to investigate the intestinal lymphatic uptake of drugs

We aim to improve drug delivery by addressing a lack of accurate models predicting how drugs reach the body’s lymphatic system. Our innovative in-vitro models focus on understanding how drugs travel through the intestinal lymphatics. Using chylomicrons, lipid-based vesicles, our models simulate the journey of drugs from the intestines to the bloodstream. This success of […]

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Sheep Industry Resource Assessments for Sustainable & Unique Vegetation Management

Alberta Lamb Producers (ALP) have developed a series of modules on the basics of vegetation management and forage nutrition including unique sheep grazing scenarios. Resources focus on options to use sheep to mitigate and reduce mechanical, fossil fuel and chemical weed control. Successful early adopter producers have utilized sheep for vegetation management and weed control […]

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Developing A Retrieval-Augmented Generation (RAG) Framework for Enhanced Data Analysis and Insight Generation for Capital Allocation Decision-Making

The proposed project aims to enhance decision-making in capital allocation by integrating different AI techniques into a data processing system. The goal is to develop an intelligence platform that efficiently processes large amounts of financial data, using AI to uncover valuable insights. The program will have different parts that each works on specific tasks, including […]

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The impact of federal funding policies & practices on the communities served by federally funded nonprofits and charities

Charities and nonprofits provide essential programs and services and improve the quality of life in communities. However, anecdotally we know that accessing consistent, non-burdensome funding to support these activities is a major challenge for many organizations. Ultimately, the funding nonprofits are able to access impacts the individuals and communities they serve in a variety of […]

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Machine learning X-ray emission spectra of metal impurities in aluminum alloys

Aluminum alloys are widely used in many industrial applications, including automobile industries, thanks to their outstanding thermal conductivity, lightweight, and low cost. However, the varied range of metal impurities contained in aluminum alloys from different suppliers makes it difficult to control the quality during manufacturing processes. This problem is exacerbated by the lack of a […]

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Strontium loaded 3D printed scaffolds for improved bone regeneration

Strong evidence exists indicating the therapeutic potential of strontium in bone health and regeneration, and perhaps treating metastatic bone disease. Since current standard treatments of large bone defects can still result in poor outcomes (whether using autografts, allografts, ceramic or acrylic cements). New technologies and advances in 3D printing with ceramics and other blended bioactive […]

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Détection et caractérisation de la désagrégation du béton par Géoradar

La désagrégation du béton est une des principales causes de dégradation des dalles des tabliers de ponts et des dalles des toits des chambres souterraines. Cette dégradation est invisible car ces dalles sont recouvertes soit d’un béton bitumineux, soit d’un remblai. Le présent projet de recherche a pour objectif d’étendre les applications de la technique […]

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Trust Establishment Mechanism to Isolate the Malicious Nodes in Flying Internet of Drones: From ML-Based Spectrum Fingerprinting Techniques to Honeypot Learning Attack Patterns Predicting

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

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