Blockchain for modern applications: A survey
Blockchain is a modern technology that has revolutionized the way society interacts and
trades. It could be defined as a chain of blocks that stores information with digital signatures …
trades. It could be defined as a chain of blocks that stores information with digital signatures …
[HTML][HTML] Crops yield prediction based on machine learning models: Case of West African countries
Global agricultural production, in particular, is of increasing concern to the major
international organizations in charge of nutrition. The rising demand for food globally due to …
international organizations in charge of nutrition. The rising demand for food globally due to …
ELBA-IoT: An ensemble learning model for botnet attack detection in IoT networks
Q Abu Al-Haija, M Al-Dala'ien - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Due to the prompt expansion and development of intelligent systems and autonomous,
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …
energy-aware sensing devices, the Internet of Things (IoT) has remarkably grown and …
Tuberculosis disease diagnosis based on an optimized machine learning model
Computer science plays an important role in modern dynamic health systems. Given the
collaborative nature of the diagnostic process, computer technology provides important …
collaborative nature of the diagnostic process, computer technology provides important …
Olive disease classification based on vision transformer and CNN models
It has been noted that disease detection approaches based on deep learning are becoming
increasingly important in artificial intelligence‐based research in the field of agriculture …
increasingly important in artificial intelligence‐based research in the field of agriculture …
Crop yield prediction algorithm (CYPA) in precision agriculture based on IoT techniques and climate changes
FM Talaat - Neural Computing and Applications, 2023 - Springer
Agriculture faces a significant challenge in predicting crop yields, a critical aspect of decision-
making at international, regional, and local levels. Crop yield prediction utilizes soil, climatic …
making at international, regional, and local levels. Crop yield prediction utilizes soil, climatic …
An intrusion detection and classification system for IoT traffic with improved data engineering
Nowadays, the Internet of Things (IoT) devices and applications have rapidly expanded
worldwide due to their benefits in improving the business environment, industrial …
worldwide due to their benefits in improving the business environment, industrial …
Detection in adverse weather conditions for autonomous vehicles via deep learning
Weather detection systems (WDS) have an indispensable role in supporting the decisions of
autonomous vehicles, especially in severe and adverse circumstances. With deep learning …
autonomous vehicles, especially in severe and adverse circumstances. With deep learning …
A lightweight double-stage scheme to identify malicious DNS over HTTPS traffic using a hybrid learning approach
The Domain Name System (DNS) protocol essentially translates domain names to IP
addresses, enabling browsers to load and utilize Internet resources. Despite its major role …
addresses, enabling browsers to load and utilize Internet resources. Despite its major role …
Future food production prediction using AROA based hybrid deep learning model in agri-sector
S Baswaraju, VU Maheswari, K Chennam… - Human-Centric …, 2023 - Springer
Policymaking and administration of national tactics of action for food security rely heavily on
advances in models for accurate estimation of food output. In several fields, including food …
advances in models for accurate estimation of food output. In several fields, including food …