Sanjay Madaan

Sanjay Madaan
  • Doctor of Philosophy
  • Research Scholar at Punjabi University

About

15
Publications
2,196
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12
Citations
Introduction
Sanjay Madaan
Current institution
Punjabi University
Current position
  • Research Scholar

Publications

Publications (15)
Article
Full-text available
With the growing popularity of deep learning, semantic segmentation using convolutional neural networks (CNNs) has proven the state of the art in the pixel-level classification of the remote sensed multi-temporal images captured by satellites such as Sentinel-1A, Sentinel-1B, Sentinel-2, and Landsat-8. Among these, the temporal Sentinel-1B data has...
Chapter
Crop classification offers relevant data for crop management, ensuring food safety, and developing agricultural policies. Mapping the crops with high resolution has great significance in determining the position of the crop and effective agricultural monitoring. However, high data costs and poor temporal resolution of satellite data make it difficu...
Conference Paper
Monitoring the crops periodically and implementing sustainable agricultural practices are the considerable conditions for implementing efficient methodologies for Cropland Mapping. Detection of crop type, acreage calculation, and yield detection are the key research points that are under consideration of the research in today’s era. In this researc...
Article
Full-text available
The precise measurement of agriculture land cover is significant for food security, economic stability, and environmental conditions. Remote sensing is a process of collecting information of object, area or phenomena using airplanes, satellite systems with subsequent processing and interpretation. SAR is efficient for gathering crop measurements, e...
Article
Full-text available
Skin carcinoma has been sighted as one of the prevalent forms of carcinomas, specifically amongst Caucasian offspring and pale-skinned population. Basal Cell Carcinoma (BCC) is a malevolent skin carcinoma and its classification in earlier stage is a biggest issue. Whilst curable with early detection, only extremely skilled specialists are likely to...
Article
Full-text available
Skin cancer accounts to be a standout amongst the most prevalent types of carcinoma ailments, particularly among Caucasian offspring and pale-skinned persons. Specifically, the melanocytic dermis lesion are conjectured as the most lethal among three pervasive skin carcinoma ailments and the second most communal type amongst youthful grown-ups who a...
Article
Full-text available
Clustering is generally seen as an unsupervised technique for information investigation. In any case, at times data about the issue area is accessible notwithstanding the information occasions themselves. In this paper, we exhibit how the prevalent k-implies grouping calculation can make utilization of this data. In k-implies bunching, we are given...
Article
Full-text available
Skin malignancy is a standout amongst the most widely recognized type of carcinoma in humans with a rapid increase in its incidence rates. Most of the skin cancers are reparable at beginning stages. Thus an early detection can aid in saving the patients. With the progression of innovation, various automated methods have been developed that makes ea...
Article
Full-text available
An ad hoc network is a collection of mobile nodes that dynamically form a temporary network and are infrastructure less. A black hole is a malicious node that incorrectly replies the route requests that it has a fresh route to destination and then it drops all the receiving packets. So, a black hole attack is one kind of routing disturbing attack,...
Article
Full-text available
The continuity in the evolution of Cloud computing has transformed into managed cloud offerings where providers are now completing those hands-on activities on behalf of the client in a cloud environment. Due to managed cloud providers turning hybrid cloud providers, cloud computing also continues to gain the outsourcing market in ways that are lif...
Article
In day to day interactions, human being possesses an ability of communication through facial emotions with others. Some study has fascinated the human computer interaction environments in recognizing facial emotions. The recent literature on facial emotion recognition specifies the requirement of two desired directions i.e. one on the image process...
Article
Full-text available
In this paper, we have developed a system that can recognize human iris patterns and an analysis of the results is done. A novel mechanism has been used for implementation of the system. Feature training has been used to extract the most discriminating features of the iris and is done using HCT, HAMMING DISTANCE and PCA scheme. And finally the biom...
Article
Full-text available
Extensive digitization of pictures, portraits, charts and origination of World Wide Web (www), has made traditional keyword based quest for picture, an incompetent technique designed for recovery of mandatory picture data. In this paper, a global picture properties based on CBIR technique using a back propagation neural network is suggested. In the...
Article
Full-text available
Small, low cost, low power and multifunctional sensor are developed as a result of improvement in micro-electromechanical (MEMS) technology. Sensor's are connected via wireless medium and are used to observe various aspects of the physical world. Data sensed by these nodes needs to be ag-glomerated using data fusion, which requires clocks of nodes...
Article
Full-text available
This paper focuses on the theoretical aspects of clustering techniques in wireless sensor networks, as a mean to improve network lifetime and time synchronization between sensors. Wireless sensor networks (WSNs) are large-scale networks of small low-cost and low-power sensors, to observe and monitor various aspects of physical world. In WSN, data f...

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