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Topic Review
Handwritten Chinese Text Recognition
Offline handwritten Chinese recognition is an important research area of pattern recognition, including offline handwritten Chinese character recognition (offline HCCR) and offline handwritten Chinese text recognition (offline HCTR), which are closely related to daily life. HCTR is more complex and relatively less accurate due to the unconstrained nature of text lines and the adhesion between characters. It can be further divided into line-level HCTR and page-level HCTR depending on whether the recognition object is a cropped image of a text line or an entire page.
  • 536
  • 24 Mar 2023
Topic Review
Reasoning Algorithms on Feature Modeling
Software product lines (SPLs) have reached a considerable level of adoption in the software industry. The most commonly used models for managing the variability of SPLs are feature models (FMs). The analysis of FMs is an error-prone, tedious task, and it is not feasible to accomplish this task manually with large-scale FMs.
  • 534
  • 13 Jun 2022
Topic Review
Life Table
In actuarial science and demography, a life table (also called a mortality table or actuarial table) is a table which shows, for each age, what the probability is that a person of that age will die before their next birthday ("probability of death"). In other words, it represents the survivorship of people from a certain population. They can also be explained as a long-term mathematical way to measure a population's longevity. Tables have been created by demographers including Graunt, Reed and Merrell, Keyfitz, and Greville. There are two types of life tables used in actuarial science. The period life table represents mortality rates during a specific time period of a certain population. A cohort life table, often referred to as a generation life table, is used to represent the overall mortality rates of a certain population's entire lifetime. They must have had to be born during the same specific time interval. A cohort life table is more frequently used because it is able to make a prediction of any expected changes in mortality rates of a population in the future. This type of table also analyzes patterns in mortality rates that can be observed over time. Both of these types of life tables are created based on an actual population from the present, as well as an educated prediction of the experience of a population in the near future. In order to find the true life expectancy average, 100 years would need to pass and by then finding that data would be of no use as healthcare is continually advancing. Other life tables in historical demography may be based on historical records, although these often undercount infants and understate infant mortality, on comparison with other regions with better records, and on mathematical adjustments for varying mortality levels and life expectancies at birth. From this starting point, a number of inferences can be derived. Life tables are also used extensively in biology and epidemiology. An area that uses this tool is Social Security. It examines the mortality rates of all the people who have Social Security to decide which actions to take. The concept is also of importance in product life cycle management. All mortality tables are specific to environmental and life circumstances, and are used to probabilistically determine expected maximum age within those environmental conditions.
  • 535
  • 02 Nov 2022
Topic Review
The Evolution of Phone Technology
This research traces the evolution of phone technology from its early days as a mechanical device to the latest cutting-edge smartphones and smartwatches. It highlights the significant breakthroughs in communication technology and the companies and countries that have been at the forefront of this transformation. The research explores the development of rotary phones, touch-tone phones, mobile phones, and smartphones, and how each has changed the way people communicate and access information. It also delves into smartwatches and the latest advances in phone technology, including 5G connectivity, foldable screens, and augmented reality. Finally, the research considers the ethical questions raised by the constant connectivity provided by phones and smartwatches and emphasizes the importance of using emerging technologies for the benefit of all.
  • 535
  • 22 May 2023
Topic Review
Graph Databases
NoSQL databases were created with the primary goal of addressing the shortcomings in the efficiency of relational databases, and can be of four types: document, column, key-value, and graph databases. Graph databases are designed with a different way of representing and storing data, where data is defined as a collection of nodes and edges. Graph databases can store data and relationships efficiently, and have a flexible and easy to understand data schema. 
  • 535
  • 01 Jun 2023
Topic Review
Applications of Machine Learning in Fluid Mechanics
The significant growth of artificial intelligence (AI) methods in machine learning (ML) and deep learning (DL) has opened opportunities for fluid dynamics and its applications in science, engineering and medicine. Developing AI methods for fluid dynamics encompass different challenges than applications with massive data, such as the Internet of Things.
  • 535
  • 24 Aug 2023
Topic Review
Blockchain Technology in Agricultural Products and Food Applications
Compared with the traditional centralized information supervision mode, the application of blockchain as a new scientific and technological innovation technology in the management of agricultural products and food supply chain can promote a more refined management of agricultural products and food, and provide feasible ideas for ensuring the quality and safety of agricultural products and food.  
  • 534
  • 29 Sep 2022
Topic Review
Fruit Sizing with Machine Vision
Forward estimates of harvest load require information on fruit size as well as number. The task of sizing fruit and vegetables has been automated in the packhouse, progressing from mechanical methods to machine vision. This shift is occurring for size assessment of fruit on trees, i.e., in the orchard.
  • 534
  • 18 May 2023
Topic Review
Applications in Computational Pathology
Deep learning techniques, such as convolutional neural networks (CNNs), generative adversarial networks (GANs), and graph neural networks (GNNs) have, over the past decade, changed the accuracy of prediction in many diverse fields. In recent years, the application of deep learning techniques in computer vision tasks in pathology has demonstrated extraordinary potential in assisting clinicians, automating diagnoses, and reducing costs for patients.
  • 533
  • 19 Apr 2022
Topic Review
Machine Learning in Healthcare Industry
Machine learning is a mechanism that enables machines to learn automatically without explicit programming. The main area of machine learning is to use advanced algorithms and statistical techniques to access the data and predict accuracy instead of a rule-based system. The dataset is a primary component of machine learning accuracy prediction. As a result, the data are more relevant and the prediction is more accurate. Machine learning has been used in different fields, such as finance, retail, and the healthcare industry. The rising use of machine learning in healthcare provides more opportunities for disease diagnosis and treatment. Machine learning has a great feature of continuous improvement for data accurate prediction and classification purposes for disease analysis.
  • 533
  • 05 May 2023
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