- Advanced Sensor and Energy Harvesting Materials
- Digital Imaging for Blood Diseases
- Glaucoma and retinal disorders
- Anomaly Detection Techniques and Applications
- COVID-19 diagnosis using AI
- Artificial Intelligence in Healthcare
- Internet of Things and AI
- Advanced Materials and Mechanics
- Conducting polymers and applications
- Synthesis and properties of polymers
- IoT and Edge/Fog Computing
- Face and Expression Recognition
- Corporate Taxation and Avoidance
- Retinal Imaging and Analysis
- Neural Networks and Applications
- Image and Signal Denoising Methods
- Landslides and related hazards
- Venous Thromboembolism Diagnosis and Management
- Acute Ischemic Stroke Management
- Video Surveillance and Tracking Methods
- Hand Gesture Recognition Systems
- Image Enhancement Techniques
- Network Security and Intrusion Detection
- Advanced Image Fusion Techniques
- Currency Recognition and Detection
All India Institute of Medical Sciences
2022-2024
Galgotias University
2024
Indian Institute of Remote Sensing
2023
All India Institute of Medical Sciences Raipur
2022
All India Institute of Medical Sciences Bhopal
2022
University College London
2022
Creative Commons
2022
Siemens (Germany)
2022
Deloitte (United States)
2021
Dr. A.P.J. Abdul Kalam Technical University
2020
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,...
Earthquake precursors are the indicators that appear before an earthquake. The release of radon gas, ionospheric disturbances, anomalous animal behavior, and so on examples seismic aseismic events. Ionospheric perturbations can be proved to a reliable method in earthquake prediction. GNSS data detect changes ionosphere through time lag transmitted GPS signals recorded at Earth-based receivers. A negative TEC anomaly is caused by stress released from rocks earthquake, which elevates positive...
The exciting field of stretchable electronics (SE) promises numerous novel applications, particularly in-body and medical diagnostics devices. However, future advanced SE miniature devices will require high-density, extremely interconnects with micron-scale footprints, which calls for proven standardized (complementary metal-oxide semiconductor (CMOS)-type) process recipes using bulk integrated circuit (IC) microfabrication tools fine-pitch photolithography patterning. Here, we address this...
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....
According to a recent survey by WHO, every fourth person is diabetic. It can be due lifestyle, pollution, heredity or many other reasons. A diabetic with the time has some threats in life. One of these Retinopathy which well-known microvascular consequence diabetes mellitus that poses risk vision retinopathy. Worldwide, 93 million people have retinopathy at this time. Studies on prevalence and factors are lacking. People who may more chances develop retinopathy, an eye disorder lead...
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...
This paper focuses on the implementation of a new technique for fabrication stretchable electronic patches that can be used medical applications. The is based Electronics Plastics by Laser Release (EPlaR) technology which enables one-step release stack flexible/stretchable layers incorporating active like interconnects and embedded devices. As proof concept meander shaped polyimide (PI) structures are fabricated top glass substrate then transferred to PDMS with use this technology....
Human-Computer Interaction (HCI), the study of how people interact with machines or specifically computers in an efficient manner, is great interest from last few years because several concrete applications anticipated near future, one such approach for computer interaction static hand gesture recognition. The main aim recognition system to detect specific and use information a variety applications. Current work deals explaining steps involved vision-based automatic recognition, along...
"Honeycomb ensemble of corneal epithelium." Clinical and Experimental Optometry, ahead-of-print(ahead-of-print), pp. 1–2
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...
A method for fabricating stretchable sensor arrays consisting of rigid islands attached to a membrane is proposed. The utilizes CMOS compatible post processing approach, where the elements and underlying electronics are fabricated first, followed by sequence etching steps polymer spin coating that result in formation array. array connected free-standing interconnects prefabricated metal stack CMOS. presented fabrication results demonstrate feasibility manufacturing fine-pitch, high density...
Minimally invasive glaucoma surgeries like bent ab-interno needle goniectomy (BANG) or Kahook Dual blade excisional goniotomy involve stripping of the trabecular meshwork to allow direct access aqueous humour into Schlemm's canal and lower intraocular pressure (IOP).[1 2][1] Here we
A device for studying the mechanical and electrical behavior of free-standing micro-fabricated metal structures, subjected to a very large deformation, is presented in this paper. The structures are intended serve as interconnects high-density, highly stretchable electronic circuits. For an easy, damage-free handling mounting these designed be fabricated single chip/unit that separated into two independently movable parts after it fixed tensile test stage. Furthermore, fabrication method...
The geologically recent Himalayas, characterized by fragile slopes and active tectonics, are inherently susceptible to natural hazards, including frequent earthquakes associated secondary hazards. Northwest Indian states like Jammu & Kashmir, Ladakh, Himachal Pradesh, Uttarakhand experience these events with varying intensities, posing significant risks infrastructure livelihoods. Among hazards earthquakes-induced landslides (EIL), which often modify the landscapes affect...
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...
With the increasing popularity of live streaming platforms, there is an imperative need for robust methods identifying individuals in real-time. The proposed system utilizes Convolutional Neural Networks (CNN) computer vision algorithms to identify faces streams and match them against a pre-existing database known individuals. Additionally, employs deep learning supervised techniques along with various types CNN achieve facial recognition diverse lighting environmental conditions. system's...