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A comprehensive review of high throughput phenoty** and machine learning for plant stress phenoty**
T Gill, SK Gill, DK Saini, Y Chopra, JP de Koff… - Phenomics, 2022 - Springer
During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenoty** various biotic and abiotic stresses throughout the …
multiple sensors for phenoty** various biotic and abiotic stresses throughout the …
[HTML][HTML] Intrusion detection system in cloud environment: Literature survey & future research directions
S Lata, D Singh - International Journal of Information Management Data …, 2022 - Elsevier
The cloud provides infrastructure, applications, and storage services to users that need to be
protected by some policies or procedures. Hence, security in the cloud is to protect user data …
protected by some policies or procedures. Hence, security in the cloud is to protect user data …
Intrusion detection system for IoT based on deep learning and modified reptile search algorithm
This study proposes a novel framework to improve intrusion detection system (IDS)
performance based on the data collected from the Internet of things (IoT) environments. The …
performance based on the data collected from the Internet of things (IoT) environments. The …
[HTML][HTML] Advanced feature extraction and selection approach using deep learning and Aquila optimizer for IoT intrusion detection system
Develo** cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …
academy and industry organizations worldwide. It is also very necessary to provide …
Towards deep-learning-driven intrusion detection for the internet of things
Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices,
applications, and communication networks are becoming increasingly connected and …
applications, and communication networks are becoming increasingly connected and …
An improved marine predators algorithm with fuzzy entropy for multi-level thresholding: real world example of COVID-19 CT image segmentation
Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …
Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment
Cloud computing infrastructure is suitable for meeting computational needs of large task
sizes. Optimal scheduling of tasks in cloud computing environment has been proved to be …
sizes. Optimal scheduling of tasks in cloud computing environment has been proved to be …
Transforming complex problems into K-means solutions
K-means is a fundamental clustering algorithm widely used in both academic and industrial
applications. Its popularity can be attributed to its simplicity and efficiency. Studies show the …
applications. Its popularity can be attributed to its simplicity and efficiency. Studies show the …
Nlp based machine learning approaches for text summarization
S Adhikari - 2020 Fourth International Conference on …, 2020 - ieeexplore.ieee.org
Due to the plethora of data available today, text summarization has become very essential to
gain just the right amount of information from huge texts. We see long articles in news …
gain just the right amount of information from huge texts. We see long articles in news …
Binary Particle Swarm Optimization with an improved genetic algorithm to solve multi-document text summarization problem of Hindi documents
Automatic text summarization plays a vital role in text retrieval. However, very little interest,
as well as attention to Hindi text summarization and the wide use of hybridization of an …
as well as attention to Hindi text summarization and the wide use of hybridization of an …