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Topic Review
IDS Using Feature Extraction with ML in IoT
With the continuous increase in Internet of Things (IoT) device usage, more interest has been shown in internet security, specifically focusing on protecting these vulnerable devices from malicious traffic. Such threats are difficult to distinguish, so an advanced intrusion detection system (IDS) is becoming necessary. Machine learning (ML) is one of the promising techniques as a smart IDS in different areas, including IoT. However, the input to ML models should be extracted from the IoT environment by feature extraction models, which play a significant role in the detection rate and accuracy.
  • 306
  • 22 Nov 2023
Topic Review
Integration of AI and the IoT in Education
The emulation of human intelligence processes by computer systems is known as artificial intelligence (AI). The development of intelligent machines that function and respond much like people is the focus of this area of computer science. Machine learning, computer vision, and natural language processing are all examples of AI technology. These tools may be used to build systems with intelligence that can reason, analyze, and gain knowledge from data. On the other hand, the Internet of Things (IoT) is a network of real physical items, such as gadgets and appliances, that are integrated with sensors, software, and connections to allow for data collection and exchange. The integration of AI and the IoT in education has the potential to revolutionize the way we learn. Personalized learning, real-time feedback and support, and immersive learning experiences are some of the benefits that AI and the IoT can bring to the education system.
  • 883
  • 22 Nov 2023
Topic Review
Predictability Measures
The task of forecasting is a crucial topic with wide-range applications and significance in various fields. In fact, forecasting provides valuable insights into the future, helping individuals, organizations, and societies plan and adapt in a dynamic and uncertain world. Time series and network link are among the most significant and extensively investigated objects that have been the focus of forecasting efforts.
  • 186
  • 22 Nov 2023
Topic Review
Deep Learning in Water Leak Detection
The escalating global water usage and the increasing strain on major cities due to water shortages highlights the critical need for efficient water management practices. In water-stressed regions worldwide, significant water wastage is primarily attributed to leakages, inefficient use, and aging infrastructure. Undetected water leakages in buildings’ pipelines contribute to the water waste problem. 
  • 288
  • 22 Nov 2023
Topic Review
Directed Cycles Evolve with Junk DNA
Cell responses are usually viewed as transitive events with fixed inputs and outputs that are regulated by feedback loops. In contrast, directed cycles (DCs) have all nodes connected, and the flow is in a single direction. Consequently, DCs can regenerate themselves and implement intransitive logic. DCs are able to couple unrelated chemical reactions to each edge. The output depends upon which node is used as input.
  • 205
  • 22 Nov 2023
Topic Review
Federated Learning Models Based on DAG Blockchain
With the development of the power internet of things, the traditional centralized computing pattern has been difficult to apply to many power business scenarios, including power load forecasting, substation defect detection, and demand-side response. How to perform efficient and reliable machine learning tasks while ensuring that user data privacy is not violated has attracted the attention of the industry. Blockchain-based federated learning (FL), proposed as a new decentralized and distributed learning framework for building privacy-enhanced IoT systems, is receiving more and more attention from scholars.
  • 211
  • 22 Nov 2023
Topic Review
Stock Market Prediction Using Deep Reinforcement Learning
Stock market investment, a cornerstone of global business, has experienced unprecedented growth, becoming a lucrative, yet complex field. Predictive models, powered by cutting-edge technologies like artificial intelligence (AI), sentiment analysis, and machine learning algorithms, have emerged to guide investors in their decision-making processes.
  • 314
  • 22 Nov 2023
Topic Review
Bluetooth 5.0 for Emergency Response within Fire Environments
Natural disasters, such as wildfires, can cause widespread devastation. Future-proofing infrastructure, such as buildings and bridges, through technological advancements is crucial to minimize their impact. Fires in disasters often stem from damaged fuel lines and electrical equipment, such as the 2018 California wildfire caused by a power line fault. To enhance safety, IoT applications can continuously monitor the health of emergency personnel. Using Bluetooth 5.0 and wearables in mesh networks, these apps can alert others about an individual’s location during emergencies.
  • 122
  • 22 Nov 2023
Topic Review
A Lightweight Object Detection Network with Attention Modules
Object detection methods based on deep learning typically require devices with ample computing capabilities, which limits their deployment in restricted environments such as those with embedded devices.
  • 190
  • 22 Nov 2023
Topic Review
Cognitive Personalization of Microtask Design
The study of data quality in crowdsourcing campaigns is a prominent research topic, given the diverse range of participants involved. A potential solution to enhancing data quality processes in crowdsourcing is cognitive personalization, which involves appropriately adapting or assigning tasks based on a crowd worker’s cognitive profile. There are two common methods for assessing a crowd worker’s cognitive profile: administering online cognitive tests, and inferring behavior from task fingerprinting based on user interaction log events. 
  • 170
  • 22 Nov 2023
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