[HTML][HTML] Advances in sprinkler irrigation: a review in the context of precision irrigation for crop production

JN Chauhdary, H Li, Y Jiang, X Pan, Z Hussain… - Agronomy, 2023 - mdpi.com
The non-judicious use of water at the farm level in traditional irrigation application methods
is a present-day concern across the world that can be resolved by enhancing application …

Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things

D Singh, AK Biswal, D Samanta, V Singh… - Frontiers in Plant …, 2023 - frontiersin.org
The Internet of Things (IOT)-based smart farming promises ultrafast speeds and near real-
time response. Precision farming enabled by the Internet of Things has the potential to boost …

Cipher block chaining support vector machine for secured decentralized cloud enabled intelligent IoT architecture

D Samanta, AH Alahmadi, MP Karthikeyan… - IEEE …, 2021 - ieeexplore.ieee.org
The growth of internet era leads to a major transformation in a storage of data and accessing
the applications. One such new trend that promises the endurance is the Cloud computing …

A novel approach for linguistic steganography evaluation based on artificial neural networks

R Gurunath, AH Alahmadi, D Samanta, MZ Khan… - IEEE …, 2021 - ieeexplore.ieee.org
Increasing prevalence and simplicity of using Artificial Intelligence (AI) techniques,
Steganography is shifting from conventional model building to AI model building. AI enables …

A multi-modal approach to digital document stream segmentation for title insurance domain

A Guha, A Alahmadi, D Samanta, MZ Khan… - IEEE …, 2022 - ieeexplore.ieee.org
In the twenty-first century, storing and managing digital documents has become
commonplace for all corporate and public sectors around the world. Physical documents are …

Optical character recognition (ocr) based vehicle's license plate recognition system using python and opencv

M Samantaray, AK Biswal, D Singh… - 2021 5th …, 2021 - ieeexplore.ieee.org
License Platform Detection is a computer technology that enables us to identify digital
images on the platform automatically. Different operations are covered in this system, such …

[KNIHA][B] Data classification and incremental clustering in data mining and machine learning

S Chakraborty, SH Islam, D Samanta - 2022 - Springer
This book can be recommended for any basic courses in data mining and machine learning
(ML). It can also be a very useful book for those conducting research in supervised and …

Detection and prevention of data leakage in transit using LSTM recurrent neural network with encryption algorithm

MK Abiodun, AE Adeniyi, AO Victor… - … and Business for …, 2023 - ieeexplore.ieee.org
As the amount of data generated by organizations continues to multiply, there is a need to
ensure the security and transmission of these data at any stage that they may be at. Data …

Computer Vision Based Automatic Margin Computation Model for Digital Document Images

A Guha, D Samanta, SS Sengar - SN Computer Science, 2023 - Springer
Margin, in typography, is described as the space between the text content and the document
edges and is often essential information for the consumer of the document, digital or …

Introduction to data mining and knowledge discovery

S Chakraborty, SKH Islam, D Samanta - Data Classification and …, 2022 - Springer
Data mining is a process of discovering some necessary hidden patterns from a large chunk
of data that can be stored in multiple heterogeneous resources. It has an enormous use to …