Deep learning technique for plant disease detection
A nation's economy is primarily reliant on agricultural growth. However, several plant
diseases seriously impair crop growth, both in terms of quantity and quality. Due to a lack of …
diseases seriously impair crop growth, both in terms of quantity and quality. Due to a lack of …
[HTML][HTML] A biometrics-generated private/public key cryptography for a blockchain-based e-voting system
Voting aims to provide the best decision or select the most selected option for the largest
group of voters. Malicious parties gaining access, and otherwise tampering with election …
group of voters. Malicious parties gaining access, and otherwise tampering with election …
[HTML][HTML] Stacking ensemble based hyperparameters to diagnosing of heart disease: Future works
A Daza, J Bobadilla, JC Herrera, A Medina… - Results in …, 2024 - Elsevier
Background Heart disease is one of the most recurrent and worrying health problems today,
due to its multiple complications, including: stroke, cardiac arrest, retinopathy, etc. Objective …
due to its multiple complications, including: stroke, cardiac arrest, retinopathy, etc. Objective …
Fine-tuned Siamese neural network–based multimodal vein biometric system with hybrid firefly–particle swarm optimization
G Velliangiri, S Radhakrishnan - Journal of Electronic Imaging, 2024 - spiedigitallibrary.org
Recent advancements in biometric recognition focus on vein pattern–based person
authentication systems. We present a multimodal biometric system using dorsal and finger …
authentication systems. We present a multimodal biometric system using dorsal and finger …
Multimodal Biometric Integration: Trends and Insights from the Past quinquennial
Recent years have seen a notable breakthrough in multimodal biometric systems, which
combine numerous biometric modalities for increased security and accuracy. This paper …
combine numerous biometric modalities for increased security and accuracy. This paper …
Application of depth feature recognition technology in foreign object recognition in distribution network monitoring video
Y Zou, D Fu, H Mo, H Chen… - Journal of Intelligent & …, 2024 - content.iospress.com
Foreign objects identification in the distribution network is an important link in the security of
electric power, and is of great significance to the normal transportation of electric power. At …
electric power, and is of great significance to the normal transportation of electric power. At …
Artificial Intelligence-Enabled Deep Learning Model for Diabetes Prediction Using Deep Belief Network with Bayesian Optimization
Diabetes is one of the major health issues that affect more than 10.5 percent of the adult
population across the globe. This study applied deep learning techniques of deep belief …
population across the globe. This study applied deep learning techniques of deep belief …
[PDF][PDF] Comparative analysis of selected optimization algorithms for mobile agents' migration pattern
Mobile agents are agents that can migrate from host-to-host to work in a heterogeneous
network environment. A mobile agent can migrate from hostto-host in its plan with the …
network environment. A mobile agent can migrate from hostto-host in its plan with the …
Mathematical Modelling for Neural Network-Based Textural Feature Extraction from Normalized Ocular Images for Improved Biometric Authentication
KK Doke - Advances in Nonlinear Variational Inequalities, 2024 - internationalpubls.com
Biometric authentication systems have become increasingly prevalent in security and
identity verification applications. Among various biometric traits, the ocular region …
identity verification applications. Among various biometric traits, the ocular region …