A Memetic Algorithm for Multi Objective Vehicle Routing Problem with Time Windows

Sangamithra, B.; Neelima, P.; Kumar, M. Sunil

doi:10.1109/iceice.2017.8191931

Cited by 19 publications

(4 citation statements)

References 4 publications

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“…Quantitative and qualitative information about plants. An ANN classifier for the diagnosis of illnesses is provided in [51]. The algorithms RF, SVM, DT, KNN, NB, and KNN from the supervised machine learning family were studied by the authors [52].…”

Section: ) Crop Diseases Detection and Classification Using Conventio...mentioning

confidence: 99%

Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review

Mohyuddin,

Khan,

Haseeb

et al. 2024

IEEE Access

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In the era of digital data proliferation, agriculture stands on the cusp of a transformative revolution driven by Machine Learning (ML). This study delves into the intricate interplay between Information and Communications Technology (ICT) and conventional agriculture, emphasizing the role of ML in reshaping farming practices. With the ongoing data tsunami impacting data-driven businesses, the fusion of smart farming and precision agriculture emerges as a beacon of innovation. ML algorithms, analyzing historical and real-time environmental data, soil conditioning, , predicts suitable crop for maximum yields, detect diseases, and optimize irrigation in smart farming, facilitating informed decision-making. Precision agriculture benefits from autonomous vehicles and drones, driven by ML, ensuring precision in planting, harvesting, and crop monitoring. Resource efficiency increases as ML optimizes energy consumption, manages fertilizer application, and promotes climate-resilient practices. This comprehensive assessment underscores ML's pivotal role in maximizing productivity, minimizing environmental impact, and navigating the complexities of modern agriculture.

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Section: ) Crop Diseases Detection and Classification Using Conventio...mentioning

confidence: 99%

Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review

Mohyuddin,

Khan,

Haseeb

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Biometrics have been discussed by Devi et al [6], who point out their potential utility in reducing cyber-attacks in the healthcare sector. There are two main functions of the biometric authentication system: enrollment and authentication [18]. In Enrollment mode, the scanner scans the biometrics, which can be recognized using a pattern recognition system, when a valid user enrolls a finger.…”

Section: Types Of Threats In Healthcarementioning

confidence: 99%

Applying the Modular Encryption Standard to Mobile Cloud Computing to Improve the Safety of Health Data

Kumar¹,

Siddardha²,

Reddy³

et al. 2022

Journal of Pharmaceutical Negative Results

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Mobile Cloud Computing (MCC) has numerous and easily observable benefits in healthcare, but its growth is being hampered by protection and security concerns. The problem at hand calls for one's whole attention and seriousness if one is to grasp its scope and make good use of it. A global, territorial, and local effort is required to disseminate health information. To completely profit of the wellbeing administrations, it is significant to set up the requested security rehearses for the counteraction of safety breaks and weaknesses.

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“…However, Wireless sensing networks (WSNs) are useful for monitoring and regulating a specific region because they provide a framework for managing and constructing the sensor nodes. [7][8][9]. Sensor nodes are thus regarded as primary building blocks of the IoT architecture in such contexts.…”

Section: Introductionmentioning

confidence: 99%

An Improved Energy Efficient Solution for Routing in IoT

Kasturi¹,

Reddy²,

VenkataNagendra³

et al. 2022

Journal of Pharmaceutical Negative Results

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The concept of the Internet of Things (IoT) is an innovation paradigm that suggests linking physical devices together to share data and work toward a common goal. Nodes in an IoT network are anticipated to communicate with one another and with third-party Internet services. However, not all network nodes have direct Internet access due to high deployment costs. As a result, additional network nodes should be using Internet-connected nodes as gateways to transmit data to online services. Due to its central role in establishing connections between nodes in a network and distributing data packets, routing protocols have emerged as a significant challenge in IoT use cases. The work of routing is complicated in mobile IoT scenarios due to the topology changes brought on by the mobility of nodes. To better handle the mobile nature of the devices, existing Iot routing solutions typically exhibit severe constraints and poor performance in such cases. This study proposes an improvement to the existing protocols; the Cluster Formation Protocol with Neuro Fuzzy Rules, in light of the fact that main routing techniques for low-power network are unable to achieve adequate performance in the shown IoT context. The energy efficiency of the routing process in WSN can be improved with the help of cluster based routing thanks to the proposed efficient routing algorithms. In addition, the efficiency of clustering & cluster based routing protocols can be enhanced by employing intelligent approaches like fuzzy rules, temporal constraints, and categorization via deep learning. Therefore, the safe transfer of data packets from of the source point to the sink node necessitates careful consideration in the development of cluster dependent routing algorithms. The cluster dependent routing method presented is developed, evaluated with respect to a number of criteria, and shown to be effective.

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A Memetic Algorithm for Multi Objective Vehicle Routing Problem with Time Windows

Cited by 19 publications

References 4 publications

Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review

Evaluation of Machine Learning Approaches for Precision Farming in Smart Agriculture System: A Comprehensive Review

Applying the Modular Encryption Standard to Mobile Cloud Computing to Improve the Safety of Health Data

An Improved Energy Efficient Solution for Routing in IoT

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