A5016173829- Handwritten Text Recognition Techniques
- Nuclear physics research studies
- Vehicle License Plate Recognition
- Advanced Image Fusion Techniques
- Image Retrieval and Classification Techniques
- Smart Agriculture and AI
- Astronomical and nuclear sciences
- Remote-Sensing Image Classification
- Image and Signal Denoising Methods
- Mobile Ad Hoc Networks
- Medical Image Segmentation Techniques
- Image Enhancement Techniques
- Nuclear Physics and Applications
- Vehicular Ad Hoc Networks (VANETs)
- Leaf Properties and Growth Measurement
- Opportunistic and Delay-Tolerant Networks
- Remote Sensing and Land Use
- Face and Expression Recognition
- Atomic and Molecular Physics
- Nuclear reactor physics and engineering
- Spectroscopy and Chemometric Analyses
- Energy Efficient Wireless Sensor Networks
- Digital Imaging for Blood Diseases
- Digital Media Forensic Detection
- Imbalanced Data Classification Techniques
Chandigarh University
2015-2025
Punjabi University
2017-2023
Punjab Technical University
2018-2022
Inspiration Innovation Synergy University
2021-2022
Sri Guru Granth Sahib World University
2018-2021
Lovely Professional University
2015-2021
GNA University
2021
Jayoti Vidyapeeth Women's University
2015-2019
Maharaja Ranjit Singh Punjab Technical University
2015-2018
St Bartholomew's Hospital
2018
The COVID-19 pandemic in 2020 significantly boosted the demand for herbal and natural health products India, creating substantial opportunities large-scale cultivation commercialization of medicinal mushrooms. Among them, Ganoderma lucidum has emerged as a high-potential crop expanding agricultural market. Commonly known "mushroom immortality" or "red reishi," is highly valued its therapeutic properties strong international demand. In response to this growing demand, Reishi mushroom rapidly...
Natural Language Processing (NLP) has experienced essential transformations thanks to machine learning (ML) technical implementations. This research discusses the integrated nature of NLP and ML through data driven methodologies that led radical evolution in text classification sentiment analysis translation question-answering systems. Deep architectures, particularly transformers like BERT, GPT, T5, which utilize extensive datasets contextual embeddings, have largely replaced traditional...
The process of removing noise from the original image is still a demanding problem for researchers. There have been several algorithms and each has its assumptions, merits, demerits. prime focus this paper related to pre processing an before it can be used in applications. done by de-noising images. In order achieve these algorithms, filtering approach wavelet based are performs their comparative study. Different noises such as Gaussian noise, salt pepper speckle used. proved best when...
HamNoSys is a notation system for writing signs. symbols describe signs in form of signing parameters. Signing parameters include hand shape, orientation, location and movement. This paper presents which generates corresponding to the inputted word. For generating HamNoSys, covers all Hand shapes basic finger their bending. orientation possible views i.e. top view, back view right side along with palm orientations. In movements, movements hands curved are covered. includes details head, pair...
The objective of this paper is to explore the various red colored Rose flowers recognition and yielding through prediction precision using segmentation.The yield concludes an excellent impression with proper information for image a flower evacuation.The main concern detect blossom roses grown in cultivated land estimated amount terms; conditions, Luminescence rose species produce without changing any natural abnormality confirm.In dynamic technology, efficient cultivation requires wide usage...
The mechanism involved in compound nucleus formation through heavy ion induced fusion reactions at near- and sub-barrier energies has been stimulating the interest of both experimentalists theoreticians. study is important not only for production superheavy elements but also to unfold mysteries evolution neutron stars nucleosynthesis astrophysical scenarios. detection gravitational waves originating from merging two black holes, possibility observing similar events black-hole--neutron-star...
Digital watermarking can be used as an important tool for the security and copyright protection of digital multimedia content. The present paper explores its applications a quality indicator watermarked medical image when subjected to intentional (noise, cropping, alteration) or unintentional (compression, transmission filtering) operations. watermark also carries EPR data along with binary mark (used assessment). is No-Reference (NR) metrics that blindly estimates without need original...
In floriculture, automatic flower harvesting through robotic machines is in recent trends. Here this research work we have proposed a calculation mechanism for technique using deep convolutional neural network (DCNN). also incorporate Faster R-CNN method which uses high-quality region proposals detection from image generated by Region Proposal Network (RPN). Our aim to make fast, reliable and accurate system detecting the crop. The key concept of provide an automated can detect ripened crop...
Abstract Experimental fission cross-sections are reported for the 19 F + 194,196,198 Pt reactions populating an isotopic chain of compound nuclei comprising both closed and non-closed shell nuclei. The obtained at near above Coulomb barrier energies by measuring fragment angular distributions. present work aims to estimate nuclear dissipation find its closure dependence from statistical model (SM) analysis experimental data. Pre-scission neutron multiplicity data same systems is also...
Several studies have been reported the use of machine learning algorithms in detection Tuberculosis, but that discuss both types TB, i.e., Pulmonary and Extra using are lacking. Therefore, an integrated system based on models has proposed this paper to assist doctors radiologists interpreting patients’ data detect PTB EPTB. Three basic algorithms, Decision Tree, Naïve Bayes, SVM, used predict compare their performance. The clinical image as input these datasets collected from various...
The quality of microscopic images is generally degraded during the image acquisition by quantizing noise, electrical light illumination etc. Noise reduction considered as a very important preprocessing step can determine accuracy results.The work done focuses on noise using different filters types noises applied common digital and specifically Leukemia images.40 were taken for comparison purpose; 20 Leukemia.The qualitative well quantitative analysis performance done.For parameters used...
In the decay of an excited heavy nucleus, both fission or evaporation residue (ER) cross sections and time are determined by competition between various channels fission. Statistical model (SM) calculations for several heavy-ion-induced fusion-fission reactions presented which reproduce ER excitation functions. The corresponding calculated times found to depend upon compound nuclei their energies. multichance probabilities also obtained, they shown sensitively on shell correction energies...
Convolutional Neural Networks (CNN) is an advanced technique for image classification. Lots of CNN models have been used the classification objects in images. trained using profound learning algorithms that made some enormous achievements recognition large-scale identification methods field machine learning. This paper proposes hybrid flower order to achieve better accuracy. The study implemented four different models; first VGG16+SVM, second ResNet50+SVM, then AlexNet + SVM, and last model...