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Topic Review
Multi-Label Fundus Image Classification
Fundus images are used by ophthalmologists and computer-aided diagnostics to detect fundus disease such as diabetic retinopathy, glaucoma, age-related macular degeneration, cataracts, hypertension, and myopia.
  • 415
  • 30 Jun 2022
Topic Review
Blockchain in Fintech
Banks were the primary players in the financial services landscape. However, as a result of technological and entrepreneurial advancements, new business models have emerged, introducing new participants such as start-ups and technology firms into to the mix. This development has significantly altered how businesses and retail customers manage their finances. These new disruptive companies, as well as the components that contributed to it, are now commonly referred to as “Fintech”. 
  • 899
  • 29 Jun 2022
Topic Review
Water Quality Monitoring System Using LoRaWAN
For effective process monitoring and enhanced control in wide areas, reliable and accurate real-time measuring is essential. LoRa, a low-power, wide-area network modulation technology (LPWAN), refers to long-range data communications. LoRa allows for long-range communications of up to three miles or five kilometers in urban areas and up to ten miles or 15 km in rural areas. The ultra-low power requirements of LoRa-based systems are a crucial feature, allowing for the design of battery-operated devices that can last up to 10 years. A star network based on the open LoRaWAN protocol is suitable for an implementation scheme that needs long-range or deep in-building communication.
  • 1.4K
  • 29 Jun 2022
Topic Review
KPI Anomaly Detection
Anomaly detection is the foundation of intelligent operation and maintenance (O&M), and detection objects are evaluated by key performance indicators (KPIs). For almost all computer O&M systems, KPIs are usually the machine-level operating data. Moreover, these high-frequency KPIs show a non-Gaussian distribution and are hard to model, i.e., they are intricate KPI profiles. However, existing anomaly detection techniques are incapable of adapting to intricate KPI profiles. In order to enhance the performance under intricate KPI profiles, a seasonal adaptive KPI anomaly detection algorithm ASAD (Adaptive Seasonality Anomaly Detection) was presented. 
  • 1.3K
  • 28 Jun 2022
Topic Review
Machine Learning Models for On-Street Parking Prediction
Due to massive urbanization, traffic volume in urban areas has grown, making urban life very congested and polluted, leading to many negative impacts on human life, such as higher energy consumption, global warming, and airborne diseases. The goal of sustainable transport in smart cities is to ensure efficient traffic movement while minimizing a negative impact on the environment and public health.
  • 1.3K
  • 28 Jun 2022
Topic Review
Smart Cities and Financial Sustainability
Smart city initiatives have become recurrent strategies used by local governments to provide better services, improve their managerial effectiveness, and increase citizen participation in cities’ decision-making processes. Great potential exists to use data, information, and communication technologies (ICT) more extensively to improve city operations. However, depending on the size and financial situation of the cities, some smart city initiatives could be considered investments that are too expensive and not easy to maintain in the long term. If city governments want to achieve most of the benefits arising from the intense use of technology and data, building financially sustainable smart cities should be seen as a priority.
  • 920
  • 28 Jun 2022
Topic Review
Smart Device Sensors in Vehicle Recognition
An accelerometer sensor (AS) and a gyroscope sensor (GS) are commonly used in mobile phones. These sensors are especially functional for measuring three-dimensional object orientation or stationing, as well as changes in the ambient environment, as they have the ability to supply raw data with great clarity and accuracy. Automatic wireless monitoring of motor vehicles saves many lives by preventing collisions, notifying drivers as well as ambulatory and emergency services when accidents take place. With GPS, apps for testing cars, ships, and trains have been built to help avoid or monitor problems.
  • 1.0K
  • 27 Jun 2022
Topic Review
Deep Learning Algorithms in Oral Cancer
Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the most usual cancer in the world, with more than 300,335 deaths every year. The cancerous tumor appears in the neck, oral glands, face, and mouth. To overcome this dangerous cancer, there are many ways to detect like a biopsy, in which small chunks of tissues are taken from the mouth and tested under a secure and hygienic microscope. However, microscope results of tissues to detect oral cancer are not up to the mark, a microscope cannot easily identify the cancerous cells and normal cells. Detection of cancerous cells using microscopic biopsy images helps in allaying and predicting the issues and gives better results if biologically approaches apply accurately for the prediction of cancerous cells, but during the physical examinations microscopic biopsy images for cancer detection there are major chances for human error and mistake. So, with the development of technology deep learning algorithms plays a major role in medical image diagnosing. Deep learning algorithms are efficiently developed to predict breast cancer, oral cancer, lung cancer, or any other type of medical image.
  • 809
  • 27 Jun 2022
Topic Review
Blockchain Privacy and Scalability
Lower renewable energy generator prices are leading people to install solar panels to reduce their electricity bills or, in some cases, even sell the surplus generated energy to the grid and earn credits from the grid operator. Generally, they are limited to trading the energy they generate with the grid company, which has a dominant role in price determination. Decentralized energy markets might increase both market competitiveness and incentive to further people’s adoption of renewable energy, reducing security vulnerabilities and improving resiliency. Blockchain is a widely studied technology to provide decentralization for energy markets. Scalability, privacy, market design, and user security are some of the open research topics.
  • 421
  • 27 Jun 2022
Topic Review
Relative Localization of Robot Swarms
For robot swarm applications, accurate positioning is one of the most important requirements for avoiding collisions and keeping formations and cooperation between individuals. However, in some worst cases, the GNSS (Global Navigation Satellite System) signals are weak due to the crowd being in a swarm or blocked by a forest, mountains, and high buildings in the environment. Thus, relative localization is an indispensable way to provide position information for the swarm.
  • 617
  • 27 Jun 2022
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