A5092416229- Advanced Text Analysis Techniques
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Biometric Identification and Security
- Sentiment Analysis and Opinion Mining
- Gait Recognition and Analysis
- Face and Expression Recognition
- Currency Recognition and Detection
- Hand Gesture Recognition Systems
- Topic Modeling
- Image Enhancement Techniques
- Data Quality and Management
- Natural Language Processing Techniques
- Healthcare and Environmental Waste Management
- Traffic and Road Safety
- Advanced Image Fusion Techniques
- Advanced Image Processing Techniques
- Autonomous Vehicle Technology and Safety
- Cloud Data Security Solutions
- Cloud Computing and Resource Management
- Smart Parking Systems Research
- Web Data Mining and Analysis
- Smart Agriculture and AI
- Human-Automation Interaction and Safety
- Municipal Solid Waste Management
Guntur Medical College
2023-2024
Sultan Zainal Abidin University
2024
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
2023
As organizations migrate to cloud-based data warehouses, ensuring governance becomes essential for maintaining quality, security, compliance, and accessibility. This article explores the key principles of in a cloud environment, outlining strategies classification, access control, compliance adherence, lifecycle management. Additionally, it discusses best practices challenges associated with implementing robust framework, enabling derive maximum value from their warehouses while mitigating risks.
Modern technology has made a big contribution to the distribution of counterfeit money and valuation it. This paper recommends deep learning-based methodology for currency recognition in order extract attributes identify values; machine learning's binary classification task fake detection. One can train model that distinguish between real banknotes if one enough information about actual notes. The vast majority older systems relied on hardware techniques image processing. Using such...
Image highlight plays a major role in different interactive media and computer vision technology such as image fragmentation, recognition matching. The original data will be unclear if the contains highlights. Moreover, it may reduce robustness non-transparent well glassy objects also reduces accuracy. Hence, removal of highlights is an extremely crucial thing dome digital enhancement. This to develop enhancement texture imageries, video analytics. Several state-of-art methods are used for...
This research study investigates the application of Internet Things (IoT) and blockchain technologies in improving waste management systems urban settings. Traditional must improve by efficiently monitoring bin fill levels, often leading to environmental pollution public health risks. An IoT-based system was proposed that utilized sensor technology monitor statuses residential areas. These nodes, Public Level Waste Monitoring (PLWM) Home (HLWM) collect data on levels location, which is then...
In an era marked by a proliferation of online reviews across various domains, navigating the extensive and diverse range opinions can be challenging. Sentiment analysis aims to extract interpret sentiments from these vast pools data using computational linguistics information retrieval techniques. This study focuses on employing deep learning methods such as Deep Belief Networks (DBN) Gated Recurrent Units (GRU) classify into positive negative sentiments, addressing issue overload in Product...
As autonomous vehicles become more prevalent on our roads, the improvement of human-machine interaction (HMI) becomes increasingly critical. In-process feedback has emerged as a promising approach to enhancing HMI in vehicles, but limited research exists its effectiveness. The purpose this study is determine how effective in-process at HMI. To investigate impact HMI, within-subjects and quasi-experimental design were used. Ninety participants with experience driving recruited divided into an...
Hand movement comprehension and interpretation are critical in various domains, including robotics, human-computer interface, sign language identification. Computer vision techniques have lately been utilized to improve the accuracy usefulness of hand signal This study investigates alternative machine learning algorithms for identifying gestures that involve landmark detection. In computer vision, it is common identify specific areas on an object order extract relevant properties from it,...