- EEG and Brain-Computer Interfaces
- ECG Monitoring and Analysis
- IoT and Edge/Fog Computing
- Emotion and Mood Recognition
- Cognitive Radio Networks and Spectrum Sensing
- Blind Source Separation Techniques
- Image and Signal Denoising Methods
- Internet of Things and AI
- Image Enhancement Techniques
- Network Security and Intrusion Detection
- Neuroscience and Neural Engineering
- Advanced Image Processing Techniques
- Advanced Data Compression Techniques
- Brain Tumor Detection and Classification
- Wireless Body Area Networks
- Advanced Malware Detection Techniques
- Non-Invasive Vital Sign Monitoring
- Advanced Image Fusion Techniques
- Gaze Tracking and Assistive Technology
- Engineering Education and Curriculum Development
- Neural dynamics and brain function
- Higher Education Learning Practices
- Energy Efficient Wireless Sensor Networks
- IoT and GPS-based Vehicle Safety Systems
- Smart Systems and Machine Learning
Manav Rachna International Institute of Research and Studies
2013-2024
Jamia Hamdard
2021
GD Goenka University
2015-2017
National Brain Research Centre
2012
Contrast enhancement and brightness preservation are the crucial steps for image quality control developing informative visually pleasing images. Histogram equalization based tool does not provide better contrast enhancement. This may cause loss in diagnostic information case of medical An attempt has been made to integrate range limited weighted histogram with adaptive gamma correction followed by homomorphic filtering study improvement as well preserve essential details image. segmentation...
Medical diagnosis greatly benefits from the use of MRI images. There have been many image enhancement algorithms proposed over years to aid doctors in disease diagnosis. Conventional enhancing methods, nevertheless, may also boost noise that was already there captured picture, which might cause distortion, is unfavourable for Therefore, an appropriate technique suppression necessary. An attempt has made incorporate a two-step filtering based algorithm removal cardiac images while maintaining...
Image contrast enhancement plays a vital role in various applications of digital image processing field like face recognition, satellite imaging and medical imaging. This paper proposes an efficient algorithm to cater the limitation over with maximum entropy preservation. In proposed algorithm, input histogram is segmented first based on its valley positions then weighted distribution applied all sub histograms followed by equalization, gamma correction homomorphic filtering. Results reveal...
Cognitive neuroscience is being widely explored to develop more interactive brain computer interfaces for control applications. An attempt has been made translate a cognitive activity (deliberate eye blink) of human subjects captured via electroencephalography (EEG) into action. Channel power spectral and the highest peak related features have extracted identify blink instances. A significant rise in event potential observed across frontal lobes cerebral cortex. The developed model deployed...
Network packet diagnoses are analyzed to predict the overall network diagnosis of packet. The port handles multiple transmissions that request use single physical infrastructure. This process follows up on send and receive data transmissions, where transmission requests. Tx-Rx packets predicted using IP address’s state. To diagnose condition from source destination, zone has be analyzed. Some malicious traffic transmitted across damages harms server. generally occur when client starts...
Conventional preprocessing methods in medical imaging can effectively reduce the combination of Gaussian and Impulsive noise, while still maintaining crucial features such as edges within images. However, these techniques are found to lag optimizing certain image parameters which play a rule enhancing input images thus may lead failing preserving that adversely affect early diagnosis diseases. An attempt has been made enhance contrast cardiac MR (Medical Resonance) using Cetacean...
Tachycardia and bradycardia are the most common type of heart beat abnormalities. These caused by disruption normal impulses which makes flow blood oxygen to vital body organs too rapid in tachycardia slow bradycardia. This may lead heart, brain other damage. An attempt has been made this paper distinguish rhythm from that irregular ones. Electrocardiogram (ECG) signal processing provides information regarding functionality thus helps detecting cardiac Heart rate analysis ECG associated...
Development of affective Brain-Computer Interfaces (BCIs) via Electroencephalogram (EEG) has emerged as a cynosure research in early diagnosis and effective management depression. However, conventional BCIs are still lacking terms high computational complexity, less accuracy due to Fourier phase suppression lack substantial conclusion for depression diagnosis. An automated, EEG-based diagnostic tool is proposed overcome these limitations. Channel event-related potentials, cross-coherence...
In wireless communication, spectrum sensing (SS) is one of the important techniques to study about radio environment. Spectrum phenomenon used estimate unutilized frequency band whole spectrum. Utilization available can be improved by enhancing techniques. The performance may degrade substantially in low signal noise ratio, multipath fading & shadowing environments. This lead increase probability false alarms and decrease detection. paper gives categorization different (SST) it also...
Telemonitoring of Electroencephalogram (EEG) through wireless and information technology is very crucial as EEG a primary clinical diagnostic tool for many neurological disorders. signals are continuously recorded channels over prolonged time periods at extremely high resolution thus possess enormous data size. This may lead to large storage space more transmission bandwidth requirement remote signal analysis. An attempt has been made compress multichannel by exploiting neighboring channel...
Electrocardiogram (ECG) is a primary clinical diagnostic tool for detection of cardiac arrhythmias. As ECG signals are generally acquired over longer time periods at extremely high resolution and thus highly data intensive. This leads to the requirement large storage space database construction more transmission bandwidth remote signal analysis, respectively. Successive beats sample values however, show some redundancy along with information content. By removing this redundancy, compression...
The deathrate due to vehicles accident are increasing day by day. major reason behind the deaths intensity of and delay in initial assistance. present study tries explore option form automated car alert. alert system will be being actuated once it detects accidental situations start alarming. detect vehicle's like collision or rollover (during after). In case serious detection, vehiclemodule quickly locates site transmit basic information nearest hospital/police station (whichever is closed...
Multilevel inverters have gained significant attention in recent years due to their ability achieve higher voltage and lower harmonic distortion compared conventional two-level inverters. Pulse width modulation (PWM) techniques play a crucial role controlling multilevel by generating the required switching signals for power electronic devices. This paper presents comprehensive comparative analysis of various PWM employed inverters, including sinusoidal pulse (SPWM), space vector (SVPWM),...