[HTML][HTML] A review: Data pre-processing and data augmentation techniques

K Maharana, S Mondal, B Nemade - Global Transitions Proceedings, 2022 - Elsevier
This review paper provides an overview of data pre-processing in Machine learning,
focusing on all types of problems while building the machine learning problems. It deals with …

Climate‐smart agriculture using intelligent techniques, blockchain and Internet of Things: Concepts, challenges, and opportunities

RA Ahmed, EED Hemdan, W El‐Shafai… - Transactions on …, 2022 - Wiley Online Library
Abstract The Internet of Things (IoT) is an important technology that provides efficient and
dependable solutions in a variety of domains, such as smart agriculture and climatic change …

[HTML][HTML] Plant leaf disease detection using computer vision and machine learning algorithms

SS Harakannanavar, JM Rudagi… - Global Transitions …, 2022 - Elsevier
Agriculture provides food to all the human beings even in case of rapid increase in the
population. It is recommended to predict the plant diseases at their early stage in the field of …

Machine learning and data analytics for the IoT

E Adi, A Anwar, Z Baig, S Zeadally - Neural computing and applications, 2020 - Springer
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …

Fine-tuned support vector regression model for stock predictions

RK Dash, TN Nguyen, K Cengiz, A Sharma - Neural Computing and …, 2023 - Springer
In this paper, a new machine learning (ML) technique is proposed that uses the fine-tuned
version of support vector regression for stock forecasting of time series data. Grid search …

A novel approach for network intrusion detection using multistage deep learning image recognition

J Toldinas, A Venčkauskas, R Damaševičius… - Electronics, 2021 - mdpi.com
The current rise in hacking and computer network attacks throughout the world has
heightened the demand for improved intrusion detection and prevention solutions. The …

[HTML][HTML] Deep learning precision farming: grapes and mango leaf disease detection by transfer learning

US Rao, R Swathi, V Sanjana, L Arpitha… - Global transitions …, 2021 - Elsevier
In India, half the population depends on agriculture for a livelihood. Microbial diseases are a
significant threat to food security, but their rapid identification remains difficult due to limited …

Load-balance scheduling for intelligent sensors deployment in industrial internet of things

DK Sah, TN Nguyen, K Cengiz, B Dumba, V Kumar - Cluster Computing, 2022 - Springer
Abstract The Industrial Internet of Things uses intelligent sensors to collect the physical
properties of objects placed on a large area. It provides innovative service and network …

A convolutional transformation network for malware classification

DL Vu, TK Nguyen, TV Nguyen… - … on information and …, 2019 - ieeexplore.ieee.org
Modern malware evolves various detection avoidance techniques to bypass the state-of-the-
art detection methods. An emerging trend to deal with this issue is the combination of image …

[HTML][HTML] Modelling of smart risk assessment approach for cloud computing environment using AI & supervised machine learning algorithms

A Sharma, UK Singh - Global Transitions Proceedings, 2022 - Elsevier
Major backbone of today's competitive and upcoming market is definitely becoming Cloud
computing & hence corporate utilize capabilities of cloud computing services. To improve …