Publications by authors named "Kazi I Ahmed"

Article Synopsis
  • - The rise of the Internet of Things (IoT) highlights the importance of Authentication and Authorization (AA) mechanisms for securing interconnected devices.
  • - There is a scarcity of relevant datasets needed to develop machine learning-based security solutions focused on authentication and authorization using physical layer characteristics.
  • - This research introduces a novel dataset collected from real-world scenarios using Zigbee Zolertia Z1 nodes, featuring key metrics like RSSI, LQI, and device status, to enhance machine learning applications for AA in IoT systems.
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Systemic lupus erythematosus (SLE) patients have demonstrated a higher risk of developing cardiovascular disease (CVD), resulting in it being one of the leading causes of death in SLE patients. SLE itself acts as a sole risk factor influencing the prevalence and progression of CVD. However, conventional risk factors, such as age, hypertension, smoking, and obesity, play a crucial role as well.

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Smart health-care is undergoing rapid transformation from the conventional specialist and hospital-focused style to a distributed patient-focused manner. Several technological developments have encouraged this rapid revolution of health-care vertical. Currently, 4G and other communication standards are used in health-care for smart health-care services and applications.

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Background: Web-based applications have the potential to support the ongoing care needs of patients with chronic disease. At the University of Washington, a diabetes care module was developed, and the feasibility of allowing patients with type 2 diabetes to comanage their disease from home was pilot tested.

Methods: The disease management module consisted of five Web sites that enabled patients to access their electronic medical records; upload blood glucose readings; enter medication, nutrition, and exercise data into an online diary; communicate with providers by using clinical e-mail; and browse an education site with endorsed content.

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