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Topic Review
The Synergistic Relationship between AI and the Economy
Artificial intelligence (AI) is transforming various aspects of the economy, including manufacturing, healthcare, finance, and transportation. AI-powered systems are augmenting human decision-making, reducing operational costs, enhancing productivity, and creating new business models. However, the integration of AI into the economy also poses several challenges, such as job displacement, economic inequality, and ethical concerns. This research explores the complex relationship between AI and the economy, highlighting the opportunities and challenges that arise from their synergy.
  • 399
  • 18 May 2023
Topic Review
Digital Village Implementations
Digital village is a social entity concept formed by community awareness, and a desire to think beyond and build a new form of cooperation and alliances using advanced digital technologies. It is not only incorporating digitalization into the village, but also forming a social entity that can address the problems existing within the village.
  • 1.2K
  • 17 May 2023
Topic Review
Distributed and Localisation System for Crude Oil Pipelines
Crude oil leakages and spills (OLS) are some of the problems attributed to pipeline failures in the oil and gas industry’s midstream sector. Consequently, they are monitored via several leakage detection and localisation techniques (LDTs) comprising classical methods and, recently, Internet of Things (IoT)-based systems via wireless sensor networks (WSNs).
  • 354
  • 17 May 2023
Topic Review
Smart Cities: Opportunities and Risks
Smart Cities are emerging as a promising solution to the challenges of urbanization, population growth, and environmental sustainability. By utilizing advanced technologies, such as the Internet of Things (IoT) and Artificial Intelligence (AI), Smart Cities can improve the efficiency of urban services, enhance citizen engagement, and promote environmental sustainability. However, Smart Cities also face significant risks, including data privacy and security concerns, unequal access to technology, potential for social exclusion, pollution, and accidents caused by modern technologies. The opportunities and risks of Smart Cities, as well as open challenges, future directions, recommendations for governments, and ways to address pollution in Smart Cities were discussed here.
  • 394
  • 17 May 2023
Topic Review
Security of the Internet of Things
Due to the widespread use of the Internet of Things (IoT), organizations should concentrate their efforts on system security. Any vulnerability could lead to a system failure or cyberattack, which would have a large-scale impact. With billions of interconnected devices, ensuring robust security measures is crucial to safeguard sensitive data, protect user privacy, and mitigate potential cyber threats. Failure to prioritize IoT security could have far-reaching consequences, jeopardizing individuals, organizations, and even critical infrastructure. IoT security is a protection strategy and defense mechanism that protects against the possibility of cyberattacks that specifically target physically linked IoT devices. IoT security teams are currently dealing with growing difficulties, such as inventories, operations, diversity, ownership, data volume, threats, etc.
  • 441
  • 16 May 2023
Topic Review
Cybersecurity for AI Systems
Advances in Artificial Intelligence (AI) technology have contributed to the enhancement of cybersecurity capabilities of traditional systems with applications that include detection of intrusion, malware, code vulnerabilities and anomalies. However, these systems with embedded machine learning models have opened themselves to a new set of vulnerabilities, commonly known as AI attacks.
  • 300
  • 16 May 2023
Topic Review
Deep Learning-Based Methods for Crop Disease Estimation
Deep learning methods such as U-Net, SegNet, YOLO, Faster R-CNN, VGG and ResNet have been used extensively for crop disease estimation using Unmanned Aerial Vehicle (UAV)  imagery. The basic building block of the deep learning architecture is basically the success of convolutional neural networks (CNN). The deep learning models implemented for crop disease estimation using UAV imagery can be categorized into classification-based, segmentation-based and detection-based approaches. Segmentation-based models attempt to classify each pixel in an image into different categories such as healthy vs. diseased pixels, whereas classification-based models look into overall images and classify the image into pre-defined disease classes.
  • 574
  • 16 May 2023
Topic Review
Global Financial Crisis Impact on SA Car Sales
In both developed and developing nations, with South Africa (SA) being one of the latter, the motor vehicle industry is one of the most important sectors. The SA automobile industry was not unaffected by the 2007/2008 global financial crisis (GFC).
  • 677
  • 16 May 2023
Topic Review
Value Co-Creation in Digital Innovation Ecosystems
The innovation ecosystem guides the transition from individual value creation to multi-actor value co-creation by coordinating the interests of multiple parties for cross-border cooperation and enhancing the efficiency of technological innovation and resource integration in the system.
  • 491
  • 16 May 2023
Topic Review
Virtual Reality for Addressing Depression and Anxiety
Virtual reality is an emerging field in mental health and has gained widespread acceptance due to its potential to treat various disorders, such as anxiety and depression. 
  • 439
  • 16 May 2023
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