Enhanced Segmentation with Optimized Nine-Layered CNN-Based Classification of Leaf Diseases: An Automatic Approach for Plant Disease Diagnosis

Chillakuru, Prameeladevi; Divya, D.; Ananthajothi, K

doi:10.1080/01969722.2022.2151173

Cited by 9 publications

(2 citation statements)

References 41 publications

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“…The performance metrics used for evaluating the IQHPSO algorithm typically include measures of solution quality, convergence speed, and robustness. These metrics can be used to compare the performance of the algorithm with other optimization algorithms, as well as to evaluate its performance on different problem instances [38][39][40][41][42].…”

Section: Details Of Performance Metrics Used For Evaluating the Algor...mentioning

confidence: 99%

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

2024

Preprint

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Ad hoc networks of quantum-enabled IoT devices require efficient resource allocation techniques to optimize energy consumption and data transmission rates. This paper proposes an enhanced version of quantum-inspired hybrid particle swarm optimization called the Improved quantum-inspired hybrid particle swarm optimization (IQHPSO) algorithm for resource allocation in ad hoc networks of quantum-enabled IoT devices. The enhanced QHPSO algorithm incorporates a novel innovation technique based on adaptive parameter tuning and a global best selection strategy that further improves the optimization performance of the QHPSO approach. We evaluate the proposed approach through simulations and compare its performance with the original QHPSO algorithm and other state-of-the-art optimization techniques regarding objective functions such as energy consumption, data transmission rate, and network lifetime. Our results show that the IQHPSO algorithm outperforms the original QHPSO algorithm by 10-15% in energy consumption, 5-10% in data transmission rate, and 3-7% in network lifetime. Furthermore, our results demonstrate that the IQHPSO algorithm outperforms other state-of-the-art optimization techniques regarding these objective functions. We also discuss the practical implementation of the IQHPSO algorithm in a real-world ad hoc network of quantum-enabled IoT devices. This research contributes to the ongoing development of quantum-inspired optimization techniques for wireless networking applications. Furthermore, it demonstrates the benefits of incorporating innovative approaches, such as adaptive parameter tuning and global best selection strategy, to improve the performance of existing optimization algorithms.

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Section: Details Of Performance Metrics Used For Evaluating the Algor...mentioning

confidence: 99%

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

2024

Preprint

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“…If the authors consider that the economy was only $6.3 million in 2010, it is possible to comprehend that in these most recent years, it has increased significantly [23]. Since it was a market that was continually expanding, it was feasible to recognize that in recent years it has risen dramatically.…”

Section: Wearable Health Devices Market Trendsmentioning

confidence: 99%

Analysis on Smart Healthcare Monitoring Based on Compound Dimension

Vennilapriya,

Bennila Thangammal

2024

EAI Endorsed Trans Perv Health Tech

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INTRODUCTION: Life expectancy has steadily increased in the majority of countries over the last few decades as a result of vast improvements in medical care, public health initiatives, and individual, community hygiene practices as well. OBJECTIVES: An effective and inexpensive alternative to institutional care was remote health surveillance, which relies on non-invasive and wearable sensors, actuators, and modern statement and information technology to allow the elderly to remain in their familiar homes. METHODS: With the use of open-source software, widely accessible minimal chipsets, and remote data warehouses for storing, this study details the design and construction of e-health apparel for health monitoring. RESULTS: By utilizing these devices, medical professionals will be able to track vital signs in real-time, evaluate patients' status, and provide feedback even when they are physically located in a different facility. The next step included creating a wearable system and the garment platform it would be used on. CONCLUSION: More features were implemented in the form of a smartphone application. This research has potential application in broadening the scope of wearable healthcare systems by investigating the role of apparel in this area.

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An efficient IoT based crop disease prediction and crop recommendation for precision agriculture

Sravanthi,

Moparthi

2024

Cluster Comput

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Enhanced Segmentation with Optimized Nine-Layered CNN-Based Classification of Leaf Diseases: An Automatic Approach for Plant Disease Diagnosis

Cited by 9 publications

References 41 publications

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

Improved Quantum-inspired Hybrid Particle Swarm Optimization Based Resource Allocation for Quantum- Enabled IoT Devices in Ad Hoc Networks

Analysis on Smart Healthcare Monitoring Based on Compound Dimension

An efficient IoT based crop disease prediction and crop recommendation for precision agriculture

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