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Topic Review
Indoor Localization
Indoor localization has become a paramount component across many fields, such as healthcare, security, and retail. These diverse applications require accurate and reliable indoor localization systems to optimize functionality and performance. Outdoor localization systems rely on GPS and Point of Interest (POI) data. POI data is used in many geospatial applications, providing semantic information for places of interest and has many geospatial applications. On the other hand, indoor systems demand specialized techniques that consider the unique characteristics of indoor environments, such as complex building structures, multiple floors, and potential signal interference. In response to these challenges, various approaches were developed to achieve precise geolocation within an indoor setting. These methods include multilateration, weighted centroid, and Grid-based RSS. 
  • 303
  • 28 Sep 2023
Topic Review
Optical Biosensors for COVID-19 and Other Viruses Diagnosis
The sudden outbreak of the COVID-19 pandemic led to a huge concern globally because of the astounding increase in mortality rates worldwide. The medical imaging computed tomography technique, whole-genome sequencing, and electron microscopy are the methods generally used for the screening and identification of the SARS-CoV-2 virus.
  • 192
  • 28 Sep 2023
Topic Review
Shape-Informed Dimensional Reduction in Airfoil/Hydrofoil Modeling Approachs
Parametric models have been widely used in pertinent literature for reconstructing, modifying and representing a wide range of airfoil and/or hydrofoil profile geometries. Design spaces corresponding to these models can be exploited for modeling and profile-shape optimization under various performance criteria. Accuracy requirements, along with the need for modeling local features, often lead to high-dimensional design spaces that hinder the process of shape optimization and design through analysis.
  • 178
  • 28 Sep 2023
Topic Review
Challenges of Adopting Artificial Intelligence to Industry 4.0
Corroborating with Industry 4.0, Artificial Intelligence (AI) emerges as a field of computer science that aims to develop systems capable of performing tasks that require human intelligence, such as learning, reasoning, perception, language, and decision-making. The adoption of Artificial Intelligence technologies in Industry 4.0 emerges as a problematic issue due to the challenges of various characteristics that hinder or limit this adoption.
  • 364
  • 28 Sep 2023
Topic Review
Post-Consumer Plastics in the Production of Wood-Plastic Composites
Wood-plastic composites (WPCs) are produced by combining a polymeric matrix with wood particles, with this matrix potentially composed of either virgin or post-consumer polymers. The manufacturing process of wood-plastic composites encompasses the combination of polymeric matrices, such as polypropylene (PP), polyethylene (PE), and polyvinyl chloride (PVC), together with lignocellulosic material, which can be fragmented into wood chips or particles. 
  • 123
  • 28 Sep 2023
Topic Review
High-Solids Anaerobic Digestion
The increasing global population and urbanization have led to a pressing need for effective solutions to manage the organic fraction of municipal solid waste (OFMSW). High-solids anaerobic digestion (HS-AD) has garnered attention as a sustainable technology that offers reduced water demand and energy consumption, and an increased biogas production rate. 
  • 112
  • 28 Sep 2023
Topic Review
Human-Likeness of Artificial Driver Models
Several applications of artificially modeled drivers, such as autonomous vehicles (AVs) or surrounding traffic in driving simulations, aim to provide not only functional but also human-like behavior. The development of human-like AVs is expected to improve the interaction between AVs and humans in traffic, whereas, in a driving simulation, the objective is to create realistic replicas of real driving scenarios to investigate various research questions under safe and reproducible conditions. There is no unique definition of human-likeness thus various related research areas such as psychology or computer science provide different approaches to quantify, define, or evaluate behavior.
  • 172
  • 28 Sep 2023
Topic Review
Synergistic Modulation of Transition-Metal-Based Electrocatalysts for Water Oxidation
Efficient electrochemical energy conversion techniques play a crucial role in mitigating energy and environmental challenges by replacing fossil fuels and decarbonizing the power and transportation sectors. Synergistic modulation has been extensively explored to develop highly efficient transition-metal-based electrocatalysts for oxygen evolution reaction (OER) because coupling effects among intrinsic activity, conductivity, mass transfer, mass diffusion, and intermediates adsorption can further promote catalytic activity.
  • 178
  • 28 Sep 2023
Topic Review
Blockchain Implementation Challenges for Sustainable Supply Chains
Blockchain technology (BT) has attracted a lot of interest and buzz as a revolutionary innovation. Organizations are now thinking about implementing this technology because of its upsides. Cost reductions, improved accountability and traceability, and increased sustainability are some possible advantages that have been highlighted. Even though most fortune businesses have considered blockchain, the investment has significantly decreased. While blockchain technology has generated considerable interest and promise, the significant drop in investment among large firms can be attributed to several factors, including the technology’s complexity and uncertainty, evolving regulatory challenges, the need for a clear return on investment, and competing priorities within organizations. As technology matures and demonstrates its usefulness in specific use cases, we may see an expansion of giant corporations’ investment in blockchain, yet more measured and strategic.
  • 121
  • 28 Sep 2023
Topic Review
MicroRNAs Electrochemical Biosensors
Electrochemical biosensors are devices that convert the biological signal generated by the specific binding of a recognition probe to a target to be measured into electrical signals such as voltage, current, and impedance. Electrochemical biosensors are suitable for point-of-care (POC) detection due to the ease of miniaturization, automation, integration, and mass production. In recent years, nanotechnology has brought great opportunities for development in the field of electrochemical biosensors. The large surface volume ratio of nanomaterials helps to improve the detection sensitivity of biosensors. The commonly used electrochemical detection methods mainly include voltammetry and impedance methods. 
  • 196
  • 27 Sep 2023
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