Titlebook: Innovations in Computer Vision and Data Classification; From Pandemic Data A Arfan Ghani Book 2024 European Alliance for Innovation 2024 Da

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Advancements in Digital Health Diagnostics: Mathematical Modelling in the Detection of Cancer Cellsde in theory, clinical methodologies and experimental techniques, enabling a deeper comprehension of cancer cell dynamics and their interactions with the immune system over recent decades. Utilizing a model-based approach has accelerated this process, facilitating the discovery of causative factors

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A Case Study on Real-Time Performance Analysis of Maximum Power Point Tracking (MPPT) with Reconfig dynamic behaviour, effectively converting energy and generating power from PV systems poses significant challenges. Maximum power point tracking (MPPT) algorithms play a crucial role in addressing these challenges by tracking the maximum operating point of PV systems for optimal utilization. Tradit

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A System-Level Approach to Sustainable Low Power Sensing: Meeting United Nations Sustainable Develoying remote wireless sensors in the form of efficient power consumption requirements for sensor nodes is a challenge. This chapter reports a case study focusing on the bespoke, off-the-shelf prototyping of a sustainable, low-power environmental monitoring node. Emphasizing the use of solar converter

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Fundamentals of Low-Power Neuromorphic Circuit Design with Spiking Neural Networks (SNNs),interest in such biologically plausible networks in several real-life applications. SNNs closely emulate the behaviour of neurons in biological nervous systems, with synapses playing a crucial role in facilitating communication between different neurons. A synapse circuit based on an analogue CMOS s

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Computer Vision-Based Human Activity Detection for Intensive Care Patients: A Case Study Based on Rambient assisted living and human-robot interactions. Over the past decade, remarkable advancements have been made in HAD applications, where automated systems play a crucial role in improving quality of life by deciphering and anticipating user needs, identifying unusual behaviours and preventing h

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