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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. 
  • 264
  • 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.
  • 196
  • 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.
  • 200
  • 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.
  • 288
  • 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.
  • 104
  • 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.
  • 176
  • 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. 
  • 158
  • 22 Nov 2023
Topic Review
GAN-Based Applications in Parkinson’s Disease Diagnosis and Treatment
Data scarcity in the healthcare domain is a major drawback for most state-of-the-art technologies engaging artificial intelligence. The unavailability of quality data due to both the difficulty to gather and label them as well as due to their sensitive nature create a breeding ground for data augmentation solutions. Parkinson’s Disease (PD) which can have a wide range of symptoms including motor impairments consists of a very challenging case for quality data acquisition. Generative Adversarial Networks (GANs) can help alleviate such data availability issues.
  • 219
  • 22 Nov 2023
Topic Review
3D Photorealistic Human Body Modelling and Reconstruction Techniques
The continuous evolution of video technologies is now primarily focused on enhancing 3D video paradigms and consistently improving their quality, realism, and level of immersion. Both the research community and the industry work towards improving 3D content representation, compression, and transmission. Their collective efforts culminate in the striving for real-time transfer of volumetric data between distant locations, laying the foundation for holographic-type communication (HTC). 
  • 295
  • 21 Nov 2023
Topic Review
Enhanced Traffic Sign Recognition with Ensemble Learning
Traffic sign recognition plays a crucial role in the functioning of autonomous vehicles. The ability to accurately identify and interpret traffic signs is necessary for autonomous vehicles to navigate roads safely and efficiently. Machine learning techniques are used to train and test models on traffic sign data, including prohibitory, danger, mandatory, and other signs.
  • 169
  • 21 Nov 2023
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