A5100646224- Network Security and Intrusion Detection
- EFL/ESL Teaching and Learning
- Advanced MIMO Systems Optimization
- Vehicular Ad Hoc Networks (VANETs)
- Smart Systems and Machine Learning
- Engineering Education and Curriculum Development
- Big Data and Business Intelligence
- Telecommunications and Broadcasting Technologies
- Intelligent Tutoring Systems and Adaptive Learning
- English Language Learning and Teaching
- Emotional Intelligence and Performance
- Internet of Things and AI
- Technology Assessment and Management
- Visual and Cognitive Learning Processes
- Image Enhancement Techniques
- Technology-Enhanced Education Studies
- Speech Recognition and Synthesis
- Advanced Image Processing Techniques
- Military Defense Systems Analysis
- Second Language Acquisition and Learning
- Radiomics and Machine Learning in Medical Imaging
- Human Resource and Talent Management
- Neural Networks and Applications
- Rough Sets and Fuzzy Logic
- Language Acquisition and Education
King Khalid University
2022-2024
Vels University
2017
The Internet of Vehicles (IoV) is a specialized iteration the Things (IoT) tailored to facilitate communication and connectivity among vehicles their environment. It harnesses power advanced technologies such as cloud computing, wireless communication, data analytics seamlessly exchange real-time vehicles, road-side infrastructure, traffic management systems, other entities. primary objectives this include enhancing road safety, reducing congestion, boosting flow efficiency, enriching...
Recent developments in deep learning have made it possible to apply medical image segmentation. Deep convolutional neural networks (DCNN s) are a type of model used for segmenting images. This approach has been found be effective accurately images, and better results faster segmentation times than traditional methods. DCNN s use combination layers, pooling activation functions detect patterns the input images learn set features from it. advantage having fewer parameters compared other makes...
A body’s altered emotional reactions to a variety of conditions, including despair, anxiety, rage, grief, guilt, low self-worth, etc., can lead stress. Stress hurts person’s performance and is the underlying cause many mental health issues, dementia depression. Numerous prevailing approaches stress detection are exploited with deep learning, but it needs categorize precisely, takes high computation time. To engulf these complications, an African buffalo optimization Recalling-Enhanced...
Low light short exposure photography is challenging, but an important factor in capturing images temporarily dynamic scenes avoiding unwanted effects such as ghosting, motion blur, camera shakes, image artifacts, etc. Monochrome augmented low-light enhancement aims to get improved short-exposure by using additional monochrome sensor and its data. typically possess a higher SNR (Signal-to-Noise Ratio) better luma information, since it avoids the attenuation Bayer Filter. The objective here...
The main objective of this study was to find out the current talent management practices on succession planning IT/ITES organizations in Coimbatore, Tamil Nadu. A descriptive carried out, and original factual data from employees located Coimbatore were collected through closed ended open question types using a 5 point Likert scale questionnaire. various dimensions including hiring best talents, training development employees, compensation rewards performers, retention planning. based primary...
This research study has aimed to analyze the importance of educational data mining on performance and efficiency level teachers students. Presently, in competitive world, several organizations are utilizing enhance institute stay among competitiveness universities. The implication supported students their through enhancing knowledge base. On other hand, also track As a result, they support provide effective training development classes who facing difficulties understanding subject. However,...
Computer science and computing technologies are applied into mathematical, science, medical, engineering educational applications. The models used to solve the issues in all domains. Educational systems top down, bottom up, Gap Analysis model learning system. process integrated with Lerner, content methodology. Learners same system or similar courses but teaching methodologies differing one another. determinations of based on factors related that particular subject. influencing made by...
The goal of this research is to look at object classification using SVM and compare it Naive Bayes prediction accuracy. Materials Methods: 10000 samples in paper are gathered from datasets available on GitHub. training dataset (n = 7000 [70 percent]) test 3000 [30 used partition the samples. accuracy values calculated Support Vector Machine. An 80% rate pre-test quality analysis was performed. In contrast 52 percent for Bayes, a Svm Classifier has 72 overall With significance level 0.182...
Although it also applies to different networks, enormous MIMO is regarded as among the key components of next 5G networks. To achieve great spectrum effectiveness, rapid data transmission, and excessive distribution widely dispersed consumers, technology must be utilised its full extent. Regarding contrary same direction, we have a wealth study on building networks handle rates, while advantages using with broadband connectivity remain well established. However, implementing large IoT...
Human learning system is highly sensitive to responsive according the processing, mapping, motion, auditory and visualization system. Special education implemented overcome demanded sense of human special care signals. This balanced effectively instrumented with modern technological pedagogy bring need learners into normal In process, cognitive sensors directly influence effectiveness. paper attempted observe load such as mental , physical temporal ,performance effort frustration in long...