A5007159934- Speech Recognition and Synthesis
- Speech and Audio Processing
- Emotion and Mood Recognition
- Hand Gesture Recognition Systems
- Face recognition and analysis
- Hearing Impairment and Communication
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Music and Audio Processing
- Structural Health Monitoring Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Neural Network Applications
- Artificial Intelligence in Healthcare
- Infrastructure Maintenance and Monitoring
- Technology and Human Factors in Education and Health
- Economic and Technological Systems Analysis
- Human Pose and Action Recognition
- Lung Cancer Diagnosis and Treatment
- UAV Applications and Optimization
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Speech and dialogue systems
- Ultrasonics and Acoustic Wave Propagation
- Vehicular Ad Hoc Networks (VANETs)
- Spam and Phishing Detection
Vignana Jyothi Institute of Management
2022-2025
Jawaharlal Nehru Technological University, Hyderabad
2021-2022
Lung cancer is the major cause of cancer-related death in this generation, and it expected to remain so for foreseeable future. It feasible treat lung if symptoms disease are detected early. possible construct a sustainable prototype model treatment using current developments computational intelligence without negatively impacting environment. Because will reduce number resources squandered as well amount work necessary complete manual tasks, save both time money. To optimise process...
Sentiment analysis is the process of extracting information from text and it considered as opinion mining. Machine learning experiments have been shown in study that involves review, blog, for some texts are written different languages including Dutch, English French. Set example sentence set manually labeled, neutral, positive or negative. The covers curiosity consumer regarding specific consumption products. Categorization models developing has used study. Number issues includes noisy...
Text-to-speech (TTS) synthesis involves creating machines that can talk. It is the process of automatically converting written text into spoken speech. TTS systems are important in human-computer interaction, and they have become more prominent with advancement computer technology. There has been a growing demand for speech applications various areas such as telemedicine, robotics, Google Assistant, other fields, especially during Covid-19 era. clear existing technology not good enough...
Communication is crucial in our day-to-day lives. It the basis for all human interactions. how people pass on information to other and receive from them. A person with a speaking or hearing problem cannot communicate properly others. who isdeaf dumb usually uses Sign Language Normal individuals would not know language, hand, better Indian acts as mode of communication deaf constitute hefty portion population. Most struggle apprehend ISL gestures. As result, gap created between speech...
<p>Machine-to-machine (M2M) communication for unmanned aerial vehicle (UAVs) and image classification is essential to current remote sensing data processing. UAVs ground stations or other linked devices exchange information seamlessly using M2M communication. connectivity helps with cameras sensors communicate pictures in real time post-mission categorization analysis. During flight, acquire massive volumes of picture data. Image classification, commonly deep learning (DL) methods like...
Clustering in vehicular ad-hoc networks (VANETs) plays a pivotal role enhancing the reliability and efficiency of transmission among vehicles. VANET is dynamic highly mobile network where vehicles form clusters to enable effective data exchange, resource allocation, cooperative actions. algorithm, helps self-organize into based on connectivity proximity, thus improving scalability reducing overhead. This cluster enables critical applications such as traffic management, collision avoidance,...
Emotions are important for human well-being and social connections. This work focuses on the issue of effectively understanding emotions in speech, specifically context Industry 5.0. Traditional approaches machine learning (ML) techniques identifying speech limited, such as requirement complicated feature extraction. methods yield recognition accuracies no more than 90% because to restricted extraction temporal/sequence information. paper suggests a ground-breaking fusion-based deep (DL)...
In the Covid-19 age, we are becoming increasingly reliant on virtual interactions like as Zoom and Google meetings / Teams chat. The videos received from live webcamera in become great source for researchers to understand human emotions. Due numerous applications human-computer interaction, analysis of emotion facial expressions has piqued interest newest research community (HCI). primary objective this study is assess various emotions using unique captured via a web camera. Traditional...
The aim of this article is to address the problem protecting private property a protected object, namely: we propose an algorithm for detection object movements by means neural network video surveillance system. Consistency perception external world in form images allows investigation properties limited number objects on basis familiarization with their final number. Based literature analysis, main definitions theory image recognition were established, such as “image,” “sign,” and “vector...
In today's advanced digital world, Emotion plays a important role for communication to understand better each other in virtual environment and Human Machine Communication. Research has revealed the powerful that emotion shaping human social interaction. This opened up new research field called Automatic Recognition, having basic goal retrieve desired emotions. past several biometrics have been explored recognize emotional states such as facial expressions, speech, physiological signals, etc....
As a result of its wide range academic and commercial applications, emotion recognition seems to be important subject in computer vision & artificial intelligence. The majority the decisions we make our life are influenced by emotions. In this technology advancement, researchers found that properly categorising human emotions may major source development for companies digital marketing. And is what will indeed focusing on reading being from facial image videos. world intelligence,...