Vijay H. Kalmani
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View article: Crop Yield Prediction using Deep Learning Algorithm based on CNN-LSTM with Attention Layer and Skip Connection
Crop Yield Prediction using Deep Learning Algorithm based on CNN-LSTM with Attention Layer and Skip Connection Open
Background: Accurate prediction of crop production is essential for efficient agricultural resource planning. Factors such as weather, soil moistureand temperature have a direct impact on crop yields, making precise forecasting vital. Meth…
View article: Medicinal Plant Identification in Real-Time Using Deep Learning Model
Medicinal Plant Identification in Real-Time Using Deep Learning Model Open
Medicinal plants have a long tradition of being cultivated and harvested in India. The Indian Forest is the principal repository for many useful medicinal herbs. As a result of their critical role in maintaining people's life, medicinal pl…
View article: Cloud Security with Lightweight ABE on Mobile IoT Devices
Cloud Security with Lightweight ABE on Mobile IoT Devices Open
The internet of things (IoT) faces significant obstacles due to insufficient identity recognition and evolving network architecture, leading to concerns about the confidentiality of data and causing anxiety.The attribute-based encryption (…
View article: Crop yield prediction using deep learning algorithm based on CNN-LSTM with Attention Layer and Skip Connection
Crop yield prediction using deep learning algorithm based on CNN-LSTM with Attention Layer and Skip Connection Open
Accurate prediction of crop production is of utmost importance in the agricultural sector, as it allows farmers and decision-makers to plan and optimize their resources effectively. Numerous factors, including weather conditions, soil mois…
View article: Exploratory Analysis of Access Control Mechanisms for Cloud-Based IoT
Exploratory Analysis of Access Control Mechanisms for Cloud-Based IoT Open
Computing as a utility has been possible with cloud computing technology.Another technology that has evolved with the internet and has become an inseparable part of our lives is the internet of things (IoT).With the growing use of IoT devi…
View article: Improved ACO Oriented Efficient Cluster Head Selection Mechanism for Energy Aware Routing Scheme in WSN
Improved ACO Oriented Efficient Cluster Head Selection Mechanism for Energy Aware Routing Scheme in WSN Open
WSNs introduce a modern model of an enhanced computing paradigm which has a significant impact on real-time embedded systems with minimal computing, connectivity, storage, and energy capacity that are being used for a wide variety of appli…
View article: Energy Harvesting Rectenna Design for Enhanced Node Lifetime In WSNs
Energy Harvesting Rectenna Design for Enhanced Node Lifetime In WSNs Open
With the rising popularity and advent of many services on Wireless Sensor Networks (WSNs), there is a compelling need to have energy-efficient solutions. The sensors and devices are powered by batteries whose life is limited, and at times …
View article: Energy Efficient Hop-by-Hop Retransmission and Congestion Mitigation of an Optimum Routing and Clustering Protocol for WSNs
Energy Efficient Hop-by-Hop Retransmission and Congestion Mitigation of an Optimum Routing and Clustering Protocol for WSNs Open
In the past few decades, wireless sensor networks, which take a growing number of applications in the surroundings further than the human reach, have risen in popularity. Various routing pseudo codes have been suggested for network optimiz…
View article: Rectenna Design for Enhanced Node Lifetime in Energy Harvesting WSNs
Rectenna Design for Enhanced Node Lifetime in Energy Harvesting WSNs Open
In a scenario where every possible solution is investigated for sustainability, Energy Harvesting (EH) stands as an undisputed candidate for enhancing the network lifetime in WSNs where node lifetime decides the network’s life. Radio Frequ…