A novel trust-based security and privacy model for internet of vehicles using encryption and steganography
High-speed wireless network technologies play a vital role in autonomous vehicle
communication systems (AVS), ie, IoV (Internet of Vehicles), and enhance the effectiveness …
communication systems (AVS), ie, IoV (Internet of Vehicles), and enhance the effectiveness …
Autonomous transaction model for e-commerce management using blockchain technology
A blockchain is an advanced technology that can power over a decentralized network. The
authors bring it up to design the autonomous transaction system for e-commerce …
authors bring it up to design the autonomous transaction system for e-commerce …
Social network user profiling with multilayer semantic modeling using ego network
Social and information networks undermine the real relationship between the individuals
(ego) and the friends (alters) they are connected with on social media. The structure of …
(ego) and the friends (alters) they are connected with on social media. The structure of …
Social network analysis for precise friend suggestion for twitter by associating multiple networks using ml
The main aim in this paper is to create a friend suggestion algorithm that can be used to
recommend new friends to a user on Twitter when their existing friends and other details are …
recommend new friends to a user on Twitter when their existing friends and other details are …
A method of citrus epidermis defects detection based on an improved YOLOv5
WX Hu, JT **ong, JH Liang, ZM **e, ZY Liu… - Biosystems …, 2023 - Elsevier
Highlights•A YOLOv5 method of citrus epidermis defects detection was proposed.•Automatic
and rapid detection of invisible defects in citrus epidermis was realised.•The optimisation of …
and rapid detection of invisible defects in citrus epidermis was realised.•The optimisation of …
Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection
Plant diseases pose a significant threat to the sustainability of the environment and global
food security. With an increasing population density and the growing demand for plant …
food security. With an increasing population density and the growing demand for plant …
Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment
There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive
approach is proposed in this assessment to deal with the problem of identifying new …
approach is proposed in this assessment to deal with the problem of identifying new …
Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities
S Gupta, AK Tripathi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Fruits and vegetables are major sources of nutrients for the majority of the population across
the globe. With the rapid increase in population, the objectives of the future agro-industry are …
the globe. With the rapid increase in population, the objectives of the future agro-industry are …
Enhanced Machine learning algorithms Lightweight Ensemble Classification of Normal versus Leukemic Cel
Leukemia is type of cancer in blood which impacts the lymphatic framework and the bone
marrow and also impacts white blood cells. Leukemia, in contrast to other types of cancer …
marrow and also impacts white blood cells. Leukemia, in contrast to other types of cancer …
Deep learning model for detection of brown spot rice leaf disease with smart agriculture
Given that it provides nourishment for more than half of humanity, rice is regarded as one of
the most significant plants in the world in agriculture. The quantity and quality of the product …
the most significant plants in the world in agriculture. The quantity and quality of the product …