Recommendation System for Hairstyle Based on Face Recognition Using AI and Machine Learning
Many machine learning algorithms have been introduced to solve different types of problems. Recently, many of these algorithms have been applied to deep architecture models and showed very impressive performances. In general, deep architecture models ...
Evaluating an Elevated Signal-to-Noise Ratio in EEG Emotion Recognition
Predicting valence and arousal values from EEG signals has been a steadfast research topic within the field of affective computing or emotional AI. Although numerous valid techniques to predict valence and arousal values from EEG signals have been ...
A Novel Spatial Data Pipeline for Orchestrating Apache NiFi/MiNiFi
- Chase D. Carthen,
- Araam Zaremehrjardi,
- Vinh Le,
- Carlos Cardillo,
- Scotty Strachan,
- Alireza Tavakkoli,
- Frederick C. Harris Jr.,
- Sergiu M. Dascalu
In many smart city projects, a common choice to capture spatial information is the inclusion of lidar data, but this decision will often invoke severe growing pains within the existing infrastructure. In this article, the authors introduce a data ...
A Novel Approach to Organize Blood Donation Camp and Blood Unit Wastage Management
In the countries or areas where the supply-demand ratio of blood is not maintained, the medication process is being deteriorated, and this may be as fatal as death of the patients. It is being observed in different areas in different seasons or may be at ...
Machine Learning-Based Academic Result Prediction System
Students' academic performance is a critical issue as it decides his/her career. It is pivotal for the educational institutes to track the performance record because it can help to enhance the standard of their quality education. Thus, the role of the ...
The Study on Software Architecture Smell Refactoring
Maintenance and complexity issues in software development continue to increase because of new requirements and software evolution, and refactoring is required to help software adapt to the changes. The goal of refactoring is to fix smells in the system. ...
The Internet of Musical Stuff: Towards an Aesthetically Pliable Musical Internet
A recent initiative within ubimus research contemplates the development of an internet of musical stuff (IoMuSt) as a concept that interacts with and expands the pre-existing rubric of the internet of musical things (IoMusT). Opposed to the ontological ...
Demystifying Ambiguous Words in Request for Proposals of Information Systems in Japan
Disagreements in interpreting words in software requirements specifications (SRSs) can lead to project failure. Various approaches to identifying and preventing ambiguous words in SRSs have been proposed. Yet, it is unclear which ambiguous words are used ...
Estimating Operating States of Numerical Control Milling Machines Using Wi-Fi Sensing and Channel State Information
This study investigates whether wi-fi sensing, through channel state information (CSI), can estimate the operating state and the material machined by a numerical control (NC) milling machine without contact sensors. The research aims to develop a ...
A Novel Spatial Data Pipeline for Streaming Smart City Data
- Chase D. Carthen,
- Araam Zaremehrjardi,
- Scotty Strachan,
- Alireza Tavakkoli,
- Sergiu M. Dascalu,
- Vinh Dac Le,
- Carlos G. Cardillo,
- Frederick C. Harris, Jr.
Point cloud data from light detection and ranging (LiDAR) is often used for its spatial qualities, particularly in smart city projects involving vehicles and pedestrians. In this paper, the authors introduce a streaming and an on-demand pipeline for ...