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Topic Review
Pandemic-Resilient Energy-Hub-Based Smart Cities
Although the severity of the COVID-19 pandemic has appears to have subsided in most parts of the world, nevertheless, in addition to six million deaths, it has yielded unprecedented challenges in the economy, energy, education, urban services, and healthcare sectors. Meanwhile, according to reports, smart solutions and technologies have manifested considerable success in achieving pandemic-resilient cities. 
  • 432
  • 25 Sep 2023
Topic Review
Digital Collaboration in Mixed-Use Housing Developments
Mixed-use development—with a diverse mix of residential, retail, commercial, social, and entertainment spaces all in one structure—has been recognised as an optimal solution to numerous urban challenges, including social, economic, and environmental ones. Such multifaceted programs can promote social equity and inclusiveness by offering a variety of housing options to people with a wide range of economic abilities. These potential social benefits of bringing a diverse range of amenities and services together can lead to enhanced safety and increased movement independence, especially for socially disadvantaged groups.
  • 222
  • 25 Sep 2023
Topic Review
Compressed Air Energy Storage
The recent increase in the use of carbonless energy systems have resulted in the need for reliable energy storage due to the intermittent nature of renewables. Among the existing energy storage technologies, compressed-air energy storage (CAES) has significant potential to meet techno-economic requirements in different storage domains due to its long lifespan, reasonable cost, and near-zero self-decay. 
  • 978
  • 25 Sep 2023
Topic Review
Commercial Complex Atrium Roof with Resilient Ventilation
Carbon-neutral architectural design focuses on rationally utilizing the building’s surroundings to reduce its environmental impact. Resilient ventilation systems, developed according to the thermal comfort requirements of building energy-saving research, have few applications.
  • 186
  • 25 Sep 2023
Topic Review
Deep Learning Models to Predict Prosthetic Ankle Torque
Inverse dynamics from motion capture is the most common technique for acquiring biomechanical kinetic data. However, this method is time-intensive, limited to a gait laboratory setting, and requires a large array of reflective markers to be attached to the body. A practical alternative must be developed to provide biomechanical information to high-bandwidth prosthesis control systems to enable predictive controllers.
  • 373
  • 25 Sep 2023
Topic Review
Cognitive Hybrid RF/VLC Systems for Sensor Networks
Building on the foundations of Cognitive Radio (CR), Visible Light Communication (VLC), and Radio Frequency (RF), this integration of Cognitive Radio Sensor Networks (CRSNs) fuses CR, VLC, and RF technologies with sensor networks. This integration navigates the complexities of dynamic and heterogeneous wireless environments, offering a novel framework to harness the combined potential of these domains. CRSNs leverage the adaptability and intelligence of CR, the high data rates and energy efficiency of VLC, and the ubiquity and range of RF. Sensor nodes in CRSNs, equipped with CR, VLC, and RF capabilities, autonomously sense, analyze, and adapt to the wireless environment. This optimizes spectrum usage, enhances network performance, and facilitates efficient data transmission.
  • 134
  • 25 Sep 2023
Topic Review
Construction Information Classification System
In the field of infrastructure construction, progress in digital transformation remains limited; this is particularly true in road construction, an infrastructure facility involving design, construction, and operation stages. Many construction subjects are involved at each stage of this cycle, generating substantial construction information. To drive the digital transformation of the construction industry, a construction information classification system is necessary for the development of a systematic construction information model. 
  • 542
  • 22 Sep 2023
Topic Review
Advancements in Power Converter Technologies
Power converter technologies have become vital in various applications due to their efficient management of electrical energy. With the growing prominence of renewable energy sources such as solar and wind, the high penetration of power electronic converters has been justified. However, ensuring power quality has emerged as a significant challenge for grid-connected power converters. 
  • 191
  • 22 Sep 2023
Topic Review
Fusion of Knowledge Graphs into Cognitive Modular Production
Modular production has been recognized as a pivotal approach for enhancing productivity and cost reduction within the industrialized building industry. In the pursuit of further optimization of production processes, the concept of cognitive modular production (CMP) has been proposed, aiming to integrate digital twins (DTs), artificial intelligence (AI), and Internet of Things (IoT) technologies into modular production systems. This fusion would imbue these systems with perception and decision-making capabilities, enabling autonomous operations. However, the efficacy of this approach critically hinges upon the ability to comprehend the production process and its variations, as well as the utilization of IoT and cognitive functionalities. Knowledge graphs (KGs) represent a type of graph database that organizes data into interconnected nodes (entities) and edges (relationships), thereby providing a visual and intuitive representation of intricate systems. 
  • 281
  • 22 Sep 2023
Topic Review
Deep Learning in Brain Tumor Classification from MRI
The independent detection and classification of brain malignancies using magnetic resonance imaging (MRI) can present challenges and the potential for error due to the intricate nature and time-consuming process involved. The complexity of the brain tumor identification process primarily stems from the need for a comprehensive evaluation spanning multiple modules. The advancement of deep learning (DL) has facilitated the emergence of automated medical image processing and diagnostics solutions, thereby offering a potential resolution to this issue. Convolutional neural networks (CNNs) represent a prominent methodology in visual learning and image categorization. 
  • 246
  • 22 Sep 2023
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