- Home
- A-Z Publications
- Recent Advances in Computer Science and Communications
- Previous Issues
- Volume 16, Issue 8, 2023
Recent Advances in Computer Science and Communications - Volume 16, Issue 8, 2023
Volume 16, Issue 8, 2023
-
-
Trends of Software Development Methodologies Toward DevOps: Analysis and Review
Authors: Poonam Narang and Pooja MittalBackground: The trend of software development has always been challenging for industry experts and software developers. There is tremendous growth in software development methodologies under the influence of evolving technologies and the rising demands of society. The 2019 pandemic forced software developers to shut down their offices and begin working from home, thereby, highlighting the critical necessity for a sha Read More
-
-
-
Automated System for Movie Review Classification using BERT
Authors: Shivani Rana, Rakesh Kanji and Shruti JainAims: Text classification emerged as an important approach to advancing Natural Language Processing (NLP) applications concerning the available text on the web. To analyze the text, many applications are proposed in the literature. Background: The NLP, with the help of deep learning, has achieved great success in automatically sorting text data in predefined classes, but this process is expensive and time-consuming. Objec Read More
-
-
-
Recent Advances in Robot Visual SLAM
Authors: Hongxin Zhang, Hui Jin and Shaowei MaBackground: SLAM plays an important role in the navigation of robots, unmanned aerial vehicles, and unmanned vehicles. The positioning accuracy will affect the accuracy of obstacle avoidance. The quality of map construction directly affects the performance of subsequent path planning and other algorithms. It is the core algorithm of the intelligent mobile application. Therefore, robot vision SLAM has great research value and Read More
-
-
-
Research on Multirelational Entity Modeling based on Knowledge Graph Representation Learning
By Tongke FanBackground: A research concern revolves around as to what can make the representation of entities and relationships fully integrate the structural information of the knowledge atlas to solve the entity modeling capability in complex relationships. World knowledge can be organized into a structured knowledge network by mining entity and relationship information in real texts. In order to apply the rich structured informatio Read More
-
-
-
A Comparative Study of Various Digital Image Watermarking Techniques: Specific to Hybrid Watermarking
Authors: Sushma Jaiswal and Manoj K. PandeyDigital security is one of the important aspects of today’s era. Digital content is being grown every day on the internet; therefore, it is essential to guard the copyright of digital content using various techniques. Watermarking has emerged as an important field of study aiming at securing digital content and copyright protection. None of the watermarking techniques can provide well robustness against all the attacks, and algorith Read More
-
-
-
A Comprehensive Model Incorporating Multiple Spatial Relations in 3D Space
Authors: Weiguang Liu, Mengmeng Li, Yuanyuan Zhao, Jixun Gao, Miao Wang and Zhenxi FangAims: A Comprehensive Model Incorporating Multiple Spatial Relations in 3D Space. Background: At present, the research on two-dimensional spatial relation expression and inference models is relatively mature, but these models cannot be used to deal with three-dimensional spatial orientation relations. With the application of spatial orientation relations, threedimensional spatial orientation relations are involved in m Read More
-
-
-
Modified Extreme Learning Machine Algorithm with Deterministic Weight Modification for Investment Decisions based on Sentiment Analysis
Authors: K. Kalaiselvi and Vasantha K. DavidBackground: A significant problem in economics is stock market prediction. Due to the noise and volatility, however, timely prediction is typically regarded as one of the most difficult challenges. A sentiment-based stock price prediction that takes investors' emotional trends into account to overcome these difficulties is essential. Objective: This study aims to enhance the ELM's generalization performance and prediction accu Read More
-
-
-
Buffer Management Techniques in Delay Tolerant Networks: A Comprehensive Survey
Authors: Savita Singh and Ankita VermaThis paper aims to provide a comprehensive study of the underlying buffer management issues and challenges in developing an efficient DTN routing protocol. Our aim is to begin with the discussion of buffer management schemes in DTNs in full generality and then dive in-depth, covering aspects of buffer management. Buffer strategies are used to determine which packets need to be forwarded or dropped. This paper will Read More
-
Most Read This Month
Article
content/journals/rascs
Journal
10
5
false
en
