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Topic Review
Deep Learning in Medical Imaging Segmentation
Deep learning algorithms were applied to serve the purpose as a diagnostic tool and applied to Computed Tomography (CT) scan images of the ovarian region. The images went through a series of pre-processing techniques and, further, the tumour was segmented using the UNet model. The instances were then classified into two categories—benign and malignant tumours. 
  • 194
  • 04 Aug 2023
Topic Review
Battery Fault Mechanism
The battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is crucial to guarantee the safe, reliable, and robust operation of lithium-ion batteries. However, in battery systems, various faults are difficult to diagnose and isolate due to their similar features and internal coupling relationships.
  • 247
  • 04 Aug 2023
Topic Review
Secure Application of MIoT
With the increasing demand for higher-quality services, online English education platforms have gained significant attention. However, practical application of the Mobile Internet of Things (MIoT) still faces various challenges, including communication security, availability, scalability, etc. These challenges directly impact the utilization of online English education platforms. The dynamic and evolving nature of the topology characteristics in Mobile Internet of Things networks adds complexity to addressing these issues.
  • 497
  • 04 Aug 2023
Topic Review
Diagnosis of Monkeypox Disease Using Deep Learning
The virus that causes monkeypox has been observed in Africa for several years, and it has been linked to the development of skin lesions. Public panic and anxiety have resulted from the deadly repercussions of virus infections following the COVID-19 pandemic. Rapid detection approaches are crucial since COVID-19 has reached a pandemic level. 
  • 230
  • 03 Aug 2023
Topic Review
Convolution Neural Network  and Transformer-Based Human Pose Estimation
Human pose estimation is a complex detection task in which the network needs to capture the rich information contained in the images.
  • 344
  • 03 Aug 2023
Topic Review
The Agricultural Internet of Things Ecosystem
The negative impacts of climate change and the increasing global population on food security and unemployment threats have motivated the adoption of the wireless sensor network (WSN)-based Agri-IoT as an indispensable underlying technology in precision agriculture and greenhouses to improve food production capacities and quality.
  • 545
  • 03 Aug 2023
Topic Review
Illuminating Ecuador's Data Revolution
In the era of data-driven decision-making, Ecuador stands poised at the forefront of a transformative revolution, embracing data analysis to unveil the untapped potential of its knowledge landscape. This pioneering work delves into the depths of Ecuador's data ecosystem, exploring the vast applications and profound impact of data analysis on the nation's society, education, and industry.
  • 357
  • 03 Aug 2023
Topic Review
Catalytic Factors Associated with Post-Traumatic Stress Disorder
Post-traumatic stress disorder (PTSD) is a complex psychological disorder that develops following exposure to traumatic events. PTSD is influenced by catalytic factors such as dysregulated hypothalamic-pituitary-adrenal (HPA) axis, neurotransmitter imbalances, and oxidative stress. Genetic variations may act as important catalysts, impacting neurochemical signaling, synaptic plasticity, and stress response systems. Understanding the intricate gene networks and their interactions is vital for comprehending the underlying mechanisms of PTSD. 
  • 167
  • 03 Aug 2023
Topic Review
The Application of Digital Twins in Healthcare
Digital twins (DTs) play a crucial role in the ongoing Industry 4.0 revolution, leveraging advanced data analytics and the connectivity of Internet of Things (IoT) to drive transformative changes across industries. The metaverse presents the potential for transformative changes in healthcare by offering virtual health services, supporting mental health, managing reality, and enabling virtual management. These innovations have the capacity to enhance accessibility, convenience, and the overall patient experience, bringing healthcare closer to individuals and ensuring that they receive the necessary care, regardless of physical distance or limitations.
  • 450
  • 02 Aug 2023
Topic Review
Requirements for Trustworthy AI
Artificial Intelligence (AI) can be very beneficial in the criminal justice system for predicting the risk of recidivism. AI provides unrivalled high computing power, speed, and accuracy; all harnessed to strengthen the efficiency in predicting convicted individuals who may be on the verge of recommitting a crime. The application of AI models for predicting recidivism has brought positive effects by minimizing the possible re-occurrence of crime. However, the question remains of whether criminal justice system stakeholders can trust AI systems regarding fairness, transparency, privacy and data protection, consistency, societal well-being, and accountability when predicting convicted individuals’ possible risk of recidivism. These are all requirements for a trustworthy AI. 
  • 227
  • 02 Aug 2023
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