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An Evaluation of 2D Human Pose Estimation based on ResNet Backbone
by Hai-Yen -Tran, Trung-Minh Bui, Thi-Loan Pham and Van-Hung Le
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 59-67, 2022; DOI: 10.55708/js0103007
Abstract: 2D HumanPose Estimation (2D-HPE) has been widely applied in many practical applications in life su ction, human-robot interaction, using Convolutional Neural Networks (CNNs), which has achieved many good results. In particular, the 2D-HPE results are intermediate in the 3D Human Pose Estimation (3D-HPE) process. In this paper, we perform a study to compare the results… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Interdisciplinary Applications – Computer Science (IAC))
An Overview on Various Techniques used for Correct Interpretation of Roadway Symbols
by Abhinav Vinod Deshpande
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 28-38, 2022; DOI: 10.55708/js0103004
Abstract: In this study paper, a comparative analysis of various image enhancements in local domain techniques was made based on three-dimensional image quality statistics namely Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR) and Image Quality Model (SSIM) to determine image quality. especially among them so that the process of image enhancement in the… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Information Systems – Computer Science (ISC))
Soil Properties Prediction for Agriculture using Machine Learning Techniques
by Vijay Kumar, Jai Singh Malhotra, Saurav Sharma and Parth Bhardwaj
Journal of Engineering Research and Sciences, Volume 1, Issue 3, Page # 09-18, 2022; DOI: 10.55708/js0103002
Abstract: Information about soil properties help the farmers to do effective and efficient farming, and yield mo . An attempt has been made in this paper to predict the soil properties using machine learning approaches. The main properties of soil prediction are Calcium, Phosphorus, pH, Soil Organic Carbon, and Sand. These properties greatly affect the production… Read More
(This article belongs to the Section Environmental Engineering (EVE))
Bridging the Urban-Rural Broadband Connectivity Gap using 5G Enabled HAPs Communication Exploiting TVWS Spectrum
by Habib M. Hussien, Konstantinos Katzis, Luzango P. Mfupe and Ephrem T. Bekele
Journal of Engineering Research and Sciences, Volume 1, Issue 2, Page # 24-32, 2022; DOI: 10.55708/js0102003
Abstract: As with previous generations of mobile cellular networks, rural regions are projected to face financial and technological challenges in deploying 5G services. At the time, researchers all around the world are investigating the feasibility of utilizing TV White Spaces (TVWS). TVWS is an underutilized/unused section of television spectrum that might be used as a low-cost… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Telecommunications (TEL))
A State-of-the-Art Survey of Peer-to-Peer Networks: Research Directions, Applications and Challenges
by Frederick Ojiemhende Ehiagwina, Nurudeen Ajibola Iromini, Ikeola Suhurat Olatinwo, Kabirat Raheem and Khadijat Mustapha
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 19-38, 2022; DOI: 10.55708/js0101003
Abstract: Centralized file-sharing networks have low reliability, scalability issues, and possess a single point of failure, thus making peer-to-peer (P2P) networks an attractive alternative since they are mostly anonymous, autonomous, cooperative, and decentralized. Although, there are review articles on P2P overlay networks and technologies, however, other aspects such as hybrid P2P networks, modelling of P2P, trust… Read More
(This article belongs to the Section Multidisciplinary – Sciences (MLS))
Visual Slam-Based Mapping and Localization for Aerial Images
by Onur Eker, Hakan Cevikalp and Hasan Saribas
Journal of Engineering Research and Sciences, Volume 1, Issue 1, Page # 01-09, 2022; DOI: 10.55708/js0101001
Abstract: Fast and accurate observation of an area in disaster scenarios such as earthquake, flood and avalanche is crucial for first aid teams. Digital surface models, orthomosaics and object detection algorithms can play an important role for rapid decision making and response in such scenarios. In recent years, Unmanned Aerial Vehicles (UAVs) have become increasingly popular… Read More
(This article belongs to the Special Issue on Special Issue on Multidisciplinary Sciences and Advanced Technology 2022 and the Section Automation and Control Systems (ACS))