A5114145354- Image and Signal Denoising Methods
- Seismic Waves and Analysis
- 3D Surveying and Cultural Heritage
- Advanced Neural Network Applications
- Image Processing Techniques and Applications
- Nanoparticles: synthesis and applications
- Remote Sensing and LiDAR Applications
- Memory and Neural Mechanisms
- Advanced Image Processing Techniques
- Handwritten Text Recognition Techniques
- Advanced Image and Video Retrieval Techniques
- Spectroscopy and Chemometric Analyses
- Infrared Thermography in Medicine
- Photoacoustic and Ultrasonic Imaging
- Domain Adaptation and Few-Shot Learning
- Robotics and Sensor-Based Localization
- Seismology and Earthquake Studies
- Neuroscience and Neuropharmacology Research
- Emotion and Mood Recognition
- EEG and Brain-Computer Interfaces
- GNSS positioning and interference
- Image Retrieval and Classification Techniques
- Electromagnetic Fields and Biological Effects
- Earthquake Detection and Analysis
- Ultrasound Imaging and Elastography
Sant Longowal Institute of Engineering and Technology
2016-2024
Institute of Engineering
2024
Mangalayatan University
2024
Galgotias University
2024
Government of Himachal Pradesh
2024
Punjab Engineering College
2023
Sam Higginbottom Institute of Agriculture
2023
Guru Kashi University
2021
Punjabi University
2014-2021
Tezpur University
2021
Due to the increasing demand in agricultural industry, need effectively grow a plant and increase its yield is very important. In order do so, it important monitor during growth period, as well as, at time of harvest. this paper image processing used tool diseases on fruits farming, right from plantation harvesting. For purpose artificial neural network concept used. Three grapes two apple have been selected. The system uses databases, one for training already stored disease images other...
A long-standing hypothesis termed "Hebbian plasticity" suggests that memories are formed through strengthening of synaptic connections between neurons with correlated activity. In contrast, other theories propose coactivation Hebbian and neuromodulatory processes produce the underlies memory formation. Using optogenetics we directly tested whether plasticity alone is both necessary sufficient to physiological changes mediating actual formation in behaving animals. Our previous work this...
Depression is one of the habitual psychological well-being diseases and a significant number depressed individuals end their lives. People suffering from depression don’t ask for help doctors due to hesitation or unawareness about that causes delay in diagnosis treatment. A lot people share opinions emotions on social networking sites. Several studies site posts related rely upon Facebook, Twitter, Blogs, other networks because they recording behavioral attributes which are person’s...
This paper provides a comprehensive review of SURF (speeded up robust features) feature descriptor, commonly used technique for image extraction. The algorithm has obtained significant popularity because to its robustness, efficiency, and invariance various transformations. In this paper, an in-depth analysis the underlying principles SURF, key components, use in computer vision tasks such as object recognition, matching, 3D reconstruction are proposed. Furthermore, we discuss recent...
Abstract In the past few decades there has been operating analysis on emotion expression recognition due to great intra-class deviation also it is still challenging. Maximum number of research work performs best controlled datasets (i.e., small with less features), whereas fails operate well and it’s challenging varies variations in images even partial faces. modern years, many works have introduced an end-to-end plan for recognition, utilizing deep learning models. Although a task, seems be...
Remote sensing technology has seen a massive rise in popularity over the last two decades, becoming an integral part of our lives. Space-based satellite technologies facilitated access to inaccessible terrains, helped humanitarian teams, support complex emergencies, and contributed monitoring verifying conflict zones. The scoping phase this review investigated utility role remote application complement international peace security activities owing their ability provide objective near...
Introduction: Depression is a prevalent mental health disorder that significantly impacts emotional well-being, cognitive function, and daily activities. Early detection essential for successful intervention, but conventional diagnostic approaches frequently struggle with identifying issues promptly. Objectives: The research objective an improved optimized form of Feature Deep Learning (DL) model using nature-insipired algorithm. It improves the performance analysis classification depressed...
Abstract: Methacrylic-based copolymers in drug-delivery systems demonstrate a pH-sensitive drug-releasing behavior the colon. In this study, of methacrylic acid and 2-ethyl hexyl acrylate were prepared using microemulsion polymerization technique. The purified copolymer was characterized by Fourier transform infrared spectroscopy, proton nuclear magnetic resonance differential scanning calorimetry. 5-Fluorouracil (5-FU) entrapped within methacrylic-based solvent evaporation method. size...
Predicting PV system electricity output is necessary for daily operational management and annual power planning when integrating solar collector-based photovoltaic (PV) stations into micro grids. Tilting the panels at ideal angle to maximize energy capture station production. This optimal tilt (OTA) must be predicted as it a nonlinear function of total radiation, diffuse direct radiation. research explores use feature selection-based artificial neural networks (ANN) with various machine...
The Electromyogram (EMG) was at first produced for diagnosing the neuro-muscular disorders and abnormalities. Clinical applications before long wound up obvious, most eminently in epilepsy, lastly it ended well known because of introduction prosthetics, explicitly body-powered prosthesis. EMG recorded amid different movements to know electrical action functional state muscles which recognizes medicinal variations from normal conditions. aim this paper is remove noise using thresholding...
In the recent scenario, human body is exposed to a great extent by high energy radiations results in ionization from naturally occurring sources and man-made like industrial, medical other types of sources, can spread out wide variety diseases such as breast thyroid cancer, leukemia, etc. The Sun most dominant agent natural light which important significant source ultraviolet radiation that responsible for spreading various skin-related especially largely-exposed population regions with...
Optical tomography is a technique which used to diagnose breast cancer non-invasively at early stage. The challenge faced in optical that light radiations scatter lot biological tissue. Therefore, need arises study the behaviour of propagation through can be done either using stochastic models like Monte Carlo methods or by deterministic Finite element methods. An attempt has been made tissue both and comparative carried out.
In the framework of convolutional neural networks that lie at heart deep learning, downsampling is often performed with a max-pooling operation only retains element maximum activation, while completely discarding information contained in other elements pooling region. To address this issue, novel scheme, Ordinal Pooling Network (OPN), introduced work. OPN rearranges all region sequence and assigns different weights to these based upon their orders sequence, where are learned via...
This paper provides a comprehensive review of SURF (speeded up robust features) feature descriptor, commonly used technique for image extraction. The algorithm has obtained significant popularity because to its robustness, efficiency, and invariance various transformations. In this paper, an in-depth analysis the underlying principles SURF, key components, use in computer vision tasks such as object recognition, matching, 3D reconstruction are proposed. Furthermore, we discuss recent...
In this paper we propose a new approximation algorithm for calculating the min-cut tree of an undirected edge-weighted graph.Our runs in O(V 2 .logV+ V .d),where is number vertices given graph and d degree graph.It significant improvement over time complexities existing solutions.However, because assumption it does not produce correct result all sorts graphs but dense success rate more than 90%.Moreover unsuccessful cases, deviation from actual very less (usually 5% pairs) most pairs obtain...