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Topic Review
The Blockchain Technology
Blockchain technology provides a data structure with inherent security properties that include cryptography, decentralization, and consensus, which ensure trust in transactions. It covers widely applicable usages, such as in intelligent manufacturing, finance, the Internet of things (IoT), medicine and health, and many different areas, especially in medical health data security and privacy protection areas. Its natural attributes, such as contracts and consensus mechanisms, have leading-edge advantages in protecting data confidentiality, integrity, and availability.
  • 643
  • 17 Feb 2023
Topic Review
Artificial Intelligence in Edge-Based IoT Applications
Given its advantages in low latency, fast response, context-aware services, mobility, and privacy preservation, edge computing has emerged as the key support for intelligent applications and 5G/6G Internet of things (IoT) networks. This technology extends the cloud by providing intermediate services at the edge of the network and improving the quality of service for latency-sensitive applications. Many AI-based solutions with machine learning, deep learning, and swarm intelligence have exhibited the high potential to perform intelligent cognitive sensing, intelligent network management, big data analytics, and security enhancement for edge-based smart applications. 
  • 896
  • 15 Feb 2023
Topic Review
Data Integrity Tracking and Verification System
Data integrity is a prerequisite for ensuring data availability of IoT data and has received extensive attention in the field of IoT big data security. Stream computing systems are widely used in the field of IoT for real-time data acquisition and computing. The real-time, volatility, suddenness, and disorder of stream data make data integrity verification difficult. The data integrity tracking and verification system is constructed based on a data integrity verification algorithm scheme of the stream computing system (S-DIV) to  track and analyze the message data stream in real time. By verifying the data integrity of message during the whole life cycle, the problem of data corruption or data loss can be found in time, and error alarm and message recovery can be actively implemented.
  • 453
  • 13 Feb 2023
Topic Review
Datasets in the Field of Click Fraud Detection
Researchers go over the most relevant datasets to detect and prevent ad click fraud using AI techniques. Private/non-open-source datasets, as well as those related to other fraud types, such as ad or impression fraud, are excluded. 
  • 1.3K
  • 13 Feb 2023
Topic Review
Deep Learning in Optical Coherence Tomography Angiography
Optical coherence tomography angiography (OCT-A) provides depth-resolved visualization of the retinal microvasculature without intravenous dye injection. It facilitates investigations of various retinal vascular diseases and glaucoma by assessment of qualitative and quantitative microvascular changes in the different retinal layers and radial peripapillary layer non-invasively, individually, and efficiently. Deep learning (DL), a subset of artificial intelligence (AI) based on deep neural networks, has been applied in OCT-A image analysis and achieved good performance for different tasks, such as image quality control, segmentation, and classification. DL technologies have further facilitated the potential implementation of OCT-A in eye clinics in an automated and efficient manner and enhanced its clinical values for detecting and evaluating various vascular retinopathies.
  • 466
  • 13 Feb 2023
Topic Review
Machine Learning in Aviation Environmental Impact Analysis
The rapid growth of global aviation operations has made its negative environmental impact an international concern. Accurate modeling of aircraft fuel burn, emissions, and noise is the prerequisite for informing new operational procedures, technologies, and policies towards a more sustainable future of aviation. Due to the advances in big data technologies and effective algorithms, the transformative data-driven analysis has begun to play a substantial role in aviation environmental impact analysis. The integration of statistical and machine learning methods in the workflow has made such analysis more efficient and accurate.
  • 565
  • 13 Feb 2023
Biography
Ajit Singh
Rome was not built in a day and success doesn’t come easy, diligence is the key to it. Mr. Ajit sets a new benchmark. ‘The Internet of Things’ was just another feather to his glorious cap. He has successfully authored 49 nonfiction computer science academic books and around 60 research papers. He was selected as a member of the International Association of Engineers, Hong Kong. He is resul
  • 877
  • 10 Feb 2023
Topic Review
Thermal Conductivity Techniques
Conventional thermal fluids have found limited application owing to low thermal conductivity (TC). The need for more efficient fluids has become apparent leading to the development of nanofluids as advanced thermal fluids. Nanofluid synthesis by suspending nano-size materials into conventional thermal fluids to improve thermal properties has been extensively studied. TC is a pivotal property to the utilization of nanofluids in various applications as it is strongly related to improved efficiency and thermal performance. Numerous studies have been conducted on the TC of nanofluids using diverse nanoparticles and base fluids. 
  • 444
  • 10 Feb 2023
Topic Review
Edge Artificial Intelligence
Artificial Intelligence (Al) models are being produced and used to solve a variety of current and future business and technical problems. Therefore, AI model engineering processes, platforms, and products are acquiring special significance across industry verticals. For achieving deeper automation, the number of data features being used while generating highly promising and productive AI models is numerous, and hence the resulting AI models are bulky. Such heavyweight models consume a lot of computation, storage, networking, and energy resources. On the other side, increasingly, AI models are being deployed in IoT devices to ensure real-time knowledge discovery and dissemination. 
  • 876
  • 09 Feb 2023
Topic Review
Neural Load Disaggregation
Non-intrusive load monitoring (NILM) techniques are central techniques to achieve the energy sustainability goals through the identification of operating appliances in the residential and industrial sectors, potentially leading to increased rates of energy savings. NILM received significant attention, reflected by the number of contributions and systematic reviews published yearly.
  • 426
  • 09 Feb 2023
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