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Topic Review
Remote Sensing and Deep Learning
The advances in remote sensing technologies, hence the fast-growing volume of timely data available at the global scale, offer new opportunities for a variety of applications. Deep learning being significantly successful in dealing with Big Data, is a great candidate for exploiting the potentials of such complex massive data. However, with remote sensing, there are some challenges related to the ground-truth, resolution, and the nature of data that require further efforts and adaptions of deep learning techniques.
  • 1.6K
  • 26 Jan 2021
Topic Review
Deep Learning and Lung Disease
The recent developments of deep learning support the identification and classification of lung diseases in medical images.
  • 1.2K
  • 26 Jan 2021
Topic Review
Wireless Sensors for Brain Activity
Over the last decade, the area of electroencephalography (EEG) witnessed a progressive move from high-end large measurement devices, relying on accurate construction and providing high sensitivity, to miniature hardware, more specifically wireless wearable EEG devices. While accurate, traditional EEG systems need a complex structure and long periods of application time, unwittingly causing discomfort and distress on the users. Given their size and price, aside from their lower sensitivity and narrower spectrum band(s), wearable EEG devices may be used regularly by individuals for continuous collection of user data from non-medical environments. This allows their usage for diverse, nontraditional, non-medical applications, including cognition, BCI, education, and gaming. Given the reduced need for standardization or accuracy, the area remains a rather incipient one, mostly driven by the emergence of new devices that represent the critical link of the innovation chain.
  • 909
  • 26 Jan 2021
Topic Review
Vaccine and Variant-modified Covid-19 Trajectories
Covid-19 transmission in US and UK have diverged 1.73 times faster than predicted by recursion models after November 2020. Transmission follows a 20% infection rate compared to the previous 10% rate, attributed to a more contagious variant of covid-19. The effect of vaccination on covid-19 trajectory is analysed for US data. Modelling indicates case numbers continue to rise for some time after vaccination.
  • 673
  • 26 Jan 2021
Topic Review
Digital and Smart Cities
Mobility is notoriously a key aspect of our modern economy and humans' way of life. In an edge situation such as the current coronavirus pandemic, transportation is one of the first affected mechanisms of a city. In our paper, we highlight the potential of operations research and computational intelligence tools for cities' services. The contributions involves aspects of optimization, internet-of-thing and internet-of-value (brought with concepts of Blockchain). When we sum up all these tools, it becomes possible to envision the potential that emerging software and systems can bring to society, associated with the wave of innovation surroundings the smart cities.
  • 875
  • 21 Jan 2021
Topic Review
AI&ML for Medical Sector
This work represents a comprehensive analysis of the potential AI, ML, and IoT technologies for defending against the COVID-19 pandemic. The existing and potential applications of AI, ML, and IoT, along with a detailed analysis of the enabling tools and techniques are outlined. A critical discussion on the risks and limitations of the aforementioned technologies are also included.
  • 1.1K
  • 21 Jan 2021
Topic Review
Accelerometer-Based Human Fall Detection
Human falls are a global public health issue resulting in over 37.3 million severe injuries and 646,000 deaths yearly. Falls result in direct financial cost to health systems and indirectly to society productivity. Unsurprisingly, human fall detection and prevention is a major focus of health research. In this article, we consider deep learning for fall detection in an IoT and fog computing environment. We propose a Convolutional Neural Network composed of three convolutional layers, two maxpool, and three fully-connected layers as our deep learning model. We evaluate its performance using three open data sets and against extant research. Our approach for resolving dimensionality and modelling simplicity issues is outlined. Accuracy, precision, sensitivity, specificity, and the Matthews Correlation Coefficient are used to evaluate performance. The best results are achieved when using data augmentation during the training process. 
  • 1.7K
  • 20 Jan 2021
Topic Review
LPWAN
LPWAN stands for Low Power Wide Area Network;  LPWAN provides long-distance communication for rural and urban areas to support IIoT devices considered by a ten-year provision time to acclimate IIoT applications with higher extensibility, availability of intelligent monitoring infrastructure for a small portion of data exchanges. LoRa is favorable to use with smart sensing applications working IIoT non-authored spectrum. NBIoT is suitable for supporting agriculture and environmental data collection and observations, industrial data tracking and monitoring, inventory tracking, smart billing, and smart buildings, smart metering, and smart cities. Machine-to-machine (M2M) communication uses the Bluetooth Low Energy (BLE) technique for the data communication, the other IIoT applications used in healthcare, smart agriculture, intelligent home, smart vehicles, smart city, smart gadgets, and industries use the cognitive LPWAN, LoRA, Sigfox.  There is a need to mix most LPWAN technologies in heterogeneous IIoT applications to provide more efficient and convenient intelligent services. In heterogeneous IIoT applications, there a need to mix most LPWAN technologies to provide more efficient and convenient intelligent services. This will be deployed by cognitive LPWAN 
  • 904
  • 20 Jan 2021
Topic Review
Wi-Fi
Indoor positioning poses a number of challenges as several effects, such as signal attenuation, signal fluctuations, interference, and multipath occur in signal propagation. The severity depends on the method and technology adopted to perform user localization. Wi-Fi is a popular method because of its ubiquity with already available public and private infrastructure in many environments and the ability for mobile clients, such as smartphones, to receive these signals.
  • 993
  • 14 Jan 2021
Topic Review
Statistical Evidence Use of p-value
This paper addresses the use and misuse of p-value issue and review latest literature on the use of p-value in social and natural sciences.  
  • 613
  • 14 Jan 2021
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