Subject:
All Disciplines Arts & Humanities Biology & Life Sciences Business & Economics Chemistry & Materials Science Computer Science & Mathematics Engineering Environmental & Earth Sciences Medicine & Pharmacology Physical Sciences Public Health & Healthcare Social Sciences
Sort:
Hottest Latest Alphabetical (A-Z) Alphabetical (Z-A)
Type:
All Topic Review Biography
Topic Review
Customer Shopping Behavior Analysis by RFID Models
Analyzing customer shopping habits in physical stores is crucial for enhancing the retailer–customer relationship and increasing business revenue. Radio-Frequency Identification (RFID) technology has emerged as a solution and has been implemented in physical stores for purposes such as smart trolleys and analyzing customer shopping paths. Additionally, previous research has demonstrated that the phase readings and received signal strength (RSS) of RFID, combined with machine-learning algorithms, can effectively track customer activity within the physical store, including product browsing. Therefore, employing machine learning models for identifying customer behavior inside the store is crucial to enhance the efficiency of customer behavior analysis.
  • 315
  • 18 Dec 2023
Topic Review
Machine Learning in Fetal Anomaly Detection
Fetal development is a critical phase in prenatal care, demanding the timely identification of anomalies in ultrasound images to safeguard the well-being of both the unborn child and the mother. Medical imaging has played a pivotal role in detecting fetal abnormalities and malformations. However, despite significant advances in ultrasound technology, the accurate identification of irregularities in prenatal images continues to pose considerable challenges, often necessitating substantial time and expertise from medical professionals. 
  • 306
  • 18 Dec 2023
Topic Review
Fire Segmentation
Fire segmentation detects fire pixels in fire images by separating the foreground of smoke or flame from the background. It avoids using bounding boxes and focuses on delineating distinct boundaries. There are two categories of fire segmentation methods, feature analysis-based methods and deep learning-based methods.
  • 239
  • 18 Dec 2023
Topic Review
Microwave for Soil Sterilization and Pest Control
For the agricultural sector to develop sustainably in the future, progress toward more environmentally friendly technologies and methods is crucial. It is necessary to increase output while reducing the demand for energy, agrochemicals, and water resources. Although greenhouses can be utilized successfully for this purpose, significant technical advancements are required, especially when it comes to heating, to lower the use of fossil fuels and boost energy efficiency. Microwaves can warm plants without heating the entire greenhouse volume, which takes a significant amount of energy to compensate for heat loss in the outdoor environment.
  • 322
  • 18 Dec 2023
Topic Review
Energy-Saving 3D Printing Techniques for Extraterrestrial Habitation Structures
Various space agencies have shown great enthusiasm for constructing habitable structures on lunar and Martian surfaces. It was found that the combination of 3D-printed components along with an internal breathable inflatable module is the most promising technique for habitat development on the Moon and Mars. Moreover, the microwave sintering method was identified as the most energy-saving and reliable approach for melting the on-site regolith for use in the 3D printing process. 
  • 153
  • 18 Dec 2023
Topic Review
Development of Rotary-Wing Mars Unmanned Aerial Vehicles
Mars, which is adjacent to Earth in the solar system and shares similar physical dimensions and topography. The Mars surface harbors a thin atmosphere, which enables the development of Mars spacecraft. However, the complex atmospheric conditions greatly impact the operation of Martian spacecraft. In the field of rotary-wing Mars UAV research, numerous scholars have conducted extensive investigations into the following aspects: (i) the feasibility of rotary-wing Mars UAVs’ flight; (ii) the vertical-takeoff-and-landing (VTOL) capabilities of rotary-wing Mars UAVs; (iii) the development of prototypes for rotary-wing Mars UAVs. 
  • 193
  • 18 Dec 2023
Topic Review
Trends and Challenges in Railway Sustainability
Rail is expected to become the backbone of future mobility in the world as the cleanest and greenest high-volume transport. Rail generates the lowest CO2 emissions and energy consumption when in operation, with respect to the other transportation modes, but during construction and maintenance phases, its environmental impacts are significant and need to be carefully assessed and properly mitigated.
  • 304
  • 18 Dec 2023
Topic Review
Temporary Housing Design of Post-Disaster Scenarios
Disasters, whether natural or man-made, pose inevitable global challenges. Events such as COVID-19, earthquakes, extreme climatic conditions, and conflicts underscore the urgent demand for effective temporary housing solutions. These temporary housing units (THUs) serve as an aid in assisting displaced people to rebuild their lives as the recovery process unfolds. However, numerous temporary housing units present environmental, economic, and social issues that hinder their sustainability. 
  • 192
  • 18 Dec 2023
Topic Review
Sustainable Stormwater Management Practices
Numerous efforts have been undertaken by Asian countries to mitigate the adverse effects of urbanization on stormwater management. However, traditional stormwater systems have become overwhelmed due to extensive development, resulting in excessive runoff and frequent floods. As a result, it is crucial to urgently adopt sustainable stormwater management practices (SSMPs) to effectively control water quantity and quality. 
  • 163
  • 18 Dec 2023
Topic Review
LiDAR Calibration in Data Collection Vehicles
Accurately calibrating camera–LiDAR systems is crucial for achieving effective data fusion, particularly in data collection vehicles. Data-driven calibration methods have gained prominence over target-based methods due to their superior adaptability to diverse environments. However, current data-driven calibration methods are susceptible to suboptimal initialization parameters, which can significantly impact the accuracy and efficiency of the calibration process. Precise calibration is essential for achieving accurate data fusion between LiDAR and camera sensors. In general, calibration approaches can be classified into four categories: target-based approaches, feature matching-based approaches, statistics-based approaches, and deep learning-based approaches.
  • 206
  • 18 Dec 2023
  • Page
  • of
  • 678
Featured Entry Collections
>>

Featured Books

>>
Encyclopedia of Social Sciences
Encyclopedia of COVID-19
Encyclopedia of Fungi
Encyclopedia of Digital Society, Industry 5.0 and Smart City
Video Production Service
Feedback