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All Topic Review Biography
Topic Review
Sarcasm and Irony Detection in Social Media
Sarcasm and irony represent intricate linguistic forms in social media communication, demanding nuanced comprehension of context and tone. 
  • 422
  • 30 Nov 2023
Topic Review
Electrocardiogram Signal Denoising
The electrocardiogram (ECG) is widely used in medicine because it can provide basic information about different types of heart disease. 
  • 242
  • 29 Nov 2023
Topic Review
Ransomware Attack Detection
Several malware variants have attacked systems and data over time. Ransomware is among the most harmful malware since it causes huge losses. In order to get a ransom, ransomware is software that locks the victim’s machine or encrypts his personal information. Numerous research has been conducted to stop and quickly recognize ransomware attacks.
  • 203
  • 29 Nov 2023
Topic Review
Deep Neural Networks
The fundamental principles and structures of deep learning (DL) are examined herein. The specific roles and functions of the diverse layers that make up deep networks are discussed, and the importance of evaluation metrics, which serve as crucial tools for gauging the effectiveness of these models, are emphasized. Commonly used architectures in medical image segmentation are also introduced.
  • 341
  • 29 Nov 2023
Topic Review
Fault Localization Using TrustRank Algorithm
Fault localization refers to the process of identifying the specific locations or program entities within a software system that are responsible for causing observed failures or errors. It involves analyzing various sources of information, such as execution traces, test cases, and program dependencies, to pinpoint the root causes of failures. The goal of fault localization is to narrow down the search space and provide developers with actionable insights to efficiently and effectively fix the identified faults. By accurately localizing faults, developers can save time and effort in debugging and troubleshooting software systems.
  • 243
  • 28 Nov 2023
Topic Review
Subject–Action–Object Structure and Patent Image Features
Patent application is one of the important ways to protect innovation achievements that have great commercial value for enterprises; it is the initial step for enterprises to set the business development track, as well as a powerful means to protect their core competitiveness. Manual measurement in patent detection is slow, costly, and subjective, and can only play an auxiliary role in measuring the validity of patents. Protecting the inventive achievements of patent holders and realizing more accurate and effective patent detection were the issues explored by academics. There are five main methods to measure patent similarity: clustering-based method, vector space model (VSM)-based method, subject–action–object (SAO) structure-based method, deep learning-based method, and patent structure-based method. 
  • 141
  • 28 Nov 2023
Topic Review
Large-Scale Unstructured Unsteady Flow
Animation visualization is one of the primary methods for analyzing unsteady flow fields. Loading and rendering individual time steps sequentially can result in substantial frame delay, whereas loading and rendering all time steps simultaneously can result in excessive memory usage.
  • 135
  • 28 Nov 2023
Topic Review
Building Footprint Extraction in Very-High-Resolution Remote Sensing Images
With the rapid development of very-high-resolution (VHR) remote-sensing technology, automatic identification and extraction of building footprints are significant for tracking urban development and evolution. Nevertheless, while VHR can more accurately characterize the details of buildings, it also inevitably enhances the background interference and noise information, which degrades the fine-grained detection of building footprints. In order to tackle the above issues, the attention mechanism is intensively exploited to provide a feasible solution. The attention mechanism is a computational intelligence technique inspired by the biological vision system capable of rapidly and automatically catching critical information.
  • 209
  • 27 Nov 2023
Topic Review
Qualitative Research Methods for Large Language Models
In the current era of artificial intelligence, large language models are being increasingly used for various applications, such as language translation, text generation, and human-like conversation. The fact that these models consist of large amounts of data, including many different opinions and perspectives, could introduce the possibility of a new qualitative research approach: Due to the probabilistic character of their answers, “interviewing” these large language models could give insights into public opinions in a way that otherwise only interviews with large groups of subjects could deliver. 
  • 371
  • 27 Nov 2023
Topic Review
Short Video Classification Framework
The explosive growth of online short videos has brought great challenges to the efficient management of video content classification, retrieval, and recommendation. Video features for video management can be extracted from video image frames by various algorithms, and they have been proven to be effective in the video classification of sensor systems. 
  • 307
  • 27 Nov 2023
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