A5043885850- Digital Imaging for Blood Diseases
- Advanced Image Fusion Techniques
- COVID-19 diagnosis using AI
- Remote-Sensing Image Classification
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Anomaly Detection Techniques and Applications
- Image and Signal Denoising Methods
- Artificial Intelligence in Healthcare
- Biometric Identification and Security
- Traffic control and management
- IoT-based Smart Home Systems
- Cryptographic Implementations and Security
- Hand Gesture Recognition Systems
- Water Quality Monitoring Technologies
- Embedded Systems and FPGA Design
- Advanced Malware Detection Techniques
- Video Surveillance and Tracking Methods
- Brain Tumor Detection and Classification
- Handwritten Text Recognition Techniques
- Traffic and Road Safety
- Photoacoustic and Ultrasonic Imaging
- Customer churn and segmentation
- Recommender Systems and Techniques
- Chaos-based Image/Signal Encryption
Graphic Era University
2024
Galgotias University
2023-2024
Guru Gobind Singh Indraprastha University
2020-2023
Krishna Institute of Medical Sciences
2012
White blood cells (WBCs) play a main role in identifying the health condition and disease characteristics of normal person. An automated classification system is capable recognizing white that may help doctors to diagnose several diseases like malaria, anemia, leukemia, etc. Automated cell analysis allows fast accurate outcomes often involves broad data without performance negotiation. The state-of-the-art systems use lot different stages (feature extraction, segmentation, pre-processing,...
In this study, an efficient a deep learning architecture‐based peripheral blood cell image recognition and classification is proposed using hybrid disruption‐based salp‐swarm cat swarm (DSSCS)‐based optimized convolutional neural networks (DSSCSCNNs) method. The DSSCSCNN method employed to overcome the hyperparameter problem in CNN it also helps model work on small data sets. method, authors develop binary coding technique that converts parameter tuning problems into optimization problem....
Summary Medical image fusion has advanced to the point that it is now possible combine multiple medical images for accurate disease diagnosis and treatment. The state‐of‐art techniques based on spatial transform domains suffer from different limitations such as low fused quality, spectral degradation, contrast reduction, edge information preserving, lack of shift‐invariance, high computational complexity, classification accuracy, sensitivity noise. main motivation this work generate a single...
The use of MRI scans to identify and categorise brain tumors is the main focus this study. goal develop a precise reliable method for early identification accurate categorisation tumours, including pituitary neoplasms, meningiomas, gliomas. Deep learning methods were utilized analyze image databases, resulting in 96% accuracy 98% categorization three types. This research demonstrates potential deep techniques tumor categorization. can assist medical professionals making informed decisions...
According to recent studies and survey of the World Health Organization(WHO), millions patients injured or die due incorrect medical care. It has been observed that these death ratio increased misidentification diseases last history patient. RFID IOT Technology help assist them by providing better services in hospitals health centers. Itreduces file work errors. successfully introduced field supply chain management proved be a great success. Now healthcare it launched improve efficiency...
Traffic management is one of the most serious road problems in today's situation. To manage all traffic, signal plays a major role traffic management. The current system or ordinary light pre-arranged system. Therefore, these systems have been referred to as fixed lights. This worked on static time i.e. fix time. this can't change waiting needy vehicle. Thus, present work has proposed using analyzing density. avoids with help Radio-frequency identification (RFID) that usually arise common...
The complexity and seriousness of diseases in ICU patients, though, make it difficult for medical practitioners to identify high-risk patients who may face irreversible harm. With ANN (Artificial Neural Network), this study will provide an admission prediction model help at earlier stage. After collecting analyzing extensive data from various perspectives including demographics, history, vital signs, test results treatment modalities, exploratory analysis has been conducted. These are used...
A novel corona virus is dangerous and life threatening as patient's lungs are affected very severely by pneumonia. When found in x-ray the chest was fully dense made rubber type. This pneumonia quite different from normal In Corona 19 people's were so much that they unable to breathe their oxygen level declined rapidly nebulizer didn't work for them it more effective patients. this paper we have taken 2000 dataset study difference between person suffering lung disease x-ray/ patient using...
Nowadays, crucial task in data mining field large multidimensional has always been the similarity search problems. Similarity involves both subsequences matching and whole sequence matching. In this paper, we present an approach which consider on how many dimensions point is similiar to query point, average distance of these as well efficiency with respect time space required dramatic increment size. The proposed dynamic selection input parameters, covering matching, suppressing impact high...
Abstract: Socio-Economic development of a country includes sustainable transportation system. As simulation is safer, less expensive and faster than field implementation testing, Microscopic models have been widely used in operations management analysis. The accuracy reliability decide the usefulness these making design traffic control. Nowin India, VISSIM which microscopic software used. However, modifications to default behavioral parameters are essential effectively simulate Indian...
In the actual world, when people go to a new location, they may have difficulties with language, signboards, or other kinds of communication. People in digital age utilize Google Translate, Pocket Dictionary, and similar applications. A signboard kind notice communicate important information even act as warning. Important be lost if message is unavailable individuals different linguistic backgrounds; furthermore, visitors struggle carry out their duties place do not comprehend language...