Utilizing Remote Sensing and Machine Learning to Improve Poultry Farm Productivity

Within the Canadian context, poultry farmers are constrained by regulations that predetermine chicken prices and market supply. As a result, they are limited in the approaches they can take to improve the profitability of their operations. Within this regulatory framework, farmers must rely on measures that can be applied on their farms to improve chicken’s […]

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Detecting noise and artifact in CW ultrasound signal processing using machine learning and cloud-based tools

Continuous wave (CW) ultrasound systems are extremely sensitive to movement, noise, and artifacts of reflective tissues within the body that return doppler ultrasound signals to the receiver. In the application of CW ultrasound to clinical applications, classifying and handling noise/artifacts is essential for broad clinical adoption. A machine learning (ML) algorithm is commonly used for […]

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Development of alternative technologies to assess muscle functionality

Skeletal muscle is a dynamic tissue that undergoes many regeneration processes during our lifetime. Loss of skeletal muscle is known as muscle atrophy or sarcopenia and is directly related with quality of life and life expectancy. There are very few diagnostic tools to identify muscle atrophy and the ones available are time-consuming and expensive. Therefore, […]

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Experimental and Analytical Study on Sustainable Sandwich Structures made from Recycled Plastic Core and PET FRP facing

The project seeks to discover the optimum design and commercialization strategy for newly developed sandwich structures derived from recycled plastic for the civil engineering sector. The sandwich structures are highly sustainable and could potentially consume large amounts of the rapidly produced plastic waste. The final sandwich product would have the potential to be used in […]

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Speeding up Federated Learning Convergence using Transfer Learning

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more […]

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Textile Embedded Vital Health Signs Monitor

The goal in medicine is prolong life and prevent disease before it spreads and becomes irreversible. There must be a way to easily self-monitor or to allow medical professionals to continuously remotely monitor high risk patients. The main vital signs that ideally should be constantly evaluated are pulse rate, respiration rate, body temperature, oxygen saturation […]

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Assessment of the feasibility of manufacturing and marketing carvacrol-incorporated natural health products

Antibiotic therapy has been the primary approach for strep throat. Although various antibiotics, including penicillin, are effective, bacteriologic, and clinical treatment failures have been reported. Patients are more concerned about soothing the pain during the infection, and green/natural drug therapy with less or no adverse side effects are becoming popular. From preliminary studies and literature, […]

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Development and market assessment of a reliable and efficacious anthocyanin-based healthy food ingredient

To date, there is a growing attention to the use of plant-food bioactives in disease prevention. Anthocyanin, a colorful plant pigment extracted from purple and blue color fruits and vegetables has been investigated broadly for its cancer preventive and immunity boosting properties. However, anthocyanin degrade during the conventional food processing conditions such as exposure to […]

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Tunable, High Throughput UV Exposure Device

Ultraviolet-C (UV) light is able to damage cells and organic matter to make water, air, and high touch surfaces safe for the public. UV-C lamps render microorganisms harmless by damaging their cell structure and DNA. UV-C based water treatment has safely been used for decades by water utilities around the world. Recent developments in technology […]

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Financial Portfolio Reconciliation using Deconstructed Deep Learning

Citco provides financial products and services to hedge funds, private equity and real estate firms, investors, institutional banks, Global 1000 companies, and high net worth individuals in the Netherlands and internationally. The previous research was focused on optimizing operations by automating trade resolution and reducing risk using machine learning. Given its success in matching individual […]

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