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Leaf Node Polling Model Analysis in an Integrated Access and Backhaul Network
In this paper, a polling service model is used for performance analysis of a leaf node in an Integrated Access and Backhaul (IAB) network. is...
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Lower Bounds for Leaf Rank of Leaf Powers
Leaf powers and k-leaf powers have been studied for over 20 years, but there are still several aspects of this graph class that are poorly...
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Optimization Based Rice Leaf Disease Classification in Federated Learning
Numerous farmers worldwide are impacted by diseases connected to rice leaves that frequently endanger the sustainability of the rice industry....
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Machine Learning Technique for Deteching Leaf Disease
Rice is a major crop that has a major impact on the Indian economy. Indian farmers face many financial problems when rice cultivation suffers from...
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Optimizing B+-tree for hybrid memory with in-node hotspot cache and eADR awareness
The advance in Non-Volatile Memory (NVM) has changed the traditional DRAM-only memory system. Compared to DRAM, NVM has the advantages of...
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A novel graph oversampling framework for node classification in class-imbalanced graphs
Graph neural network (GNN) is a promising method to analyze graphs. Most existing GNNs adopt the class-balanced assumption, which cannot deal with...
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Exploiting copy engines for intra-node MPI collective communication
As multi/many-core processors are widely deployed in high-performance computing systems, efficient intra-node communication becomes more important....
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Computing Optimal Leaf Roots of Chordal Cographs in Linear Time
A graph G is a k-leaf power, for an integer \(k \ge 2\) , if...
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Tree Topologies and Node Covers for Efficient Communication in Wireless Sensor Networks
Locating positions of the sensors is a primary concern for WSNs as these are susceptible to multiple forms of attacks. The problem of detecting the...
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Leaf Disease Classification of Various Crops Using Deep Learning Based DBESeriesNet Model
Chilli is one of the world’s most extensively used spices. Numerous diseases affect chilli leaves as a result of climatic and environmental changes,...
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Node and edge averaged complexities of local graph problems
We continue the recently started line of work on the distributed node-averaged complexity of distributed graph algorithms. The node-averaged...
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Near-optimal Steiner tree computation powered by node embeddings
Steiner minimum tree problem on a graph, i.e., finding a tree with the minimum weight that covers the set of terminal nodes, is a classical NP-hard...
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An auto-scaling multi-tiered node-organizing blockchain design model for the internet of things
Current node-organizing IoT-based blockchain models lack the scalability and mechanisms needed to accommodate a growing number of nodes while...
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A deep learning-based model for biotic rice leaf disease detection
The detection of rice leaf disease is an essential step for implementing precise and timely interventions, thereby mitigating the spread and...
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Plant leaf disease detection and classification using modified transfer learning models
Agriculture is a dominating field that plays an essential role in the economic development of any country. In India, agriculture contributes about...
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Performance enhancement of kernelized SVM with deep learning features for tea leaf disease prediction
India is one of the world's leading tea producers, yet more than 70% of the country's tea is consumed domestically. Tea leaf diseases have a...
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IoT enabled plant leaf disease segmentation and multi-classification using mayfly bald eagle optimization-enabled machine learning
Agricultural production is critical to the economy. This is one of the reasons why disease detection in plants is so important in agricultural...
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Node utilization index-based data routing and aggregation protocol for energy-efficient wireless sensor networks
Data aggregation using the shortest path is a challenging issue in wireless sensor networks. Data aggregation slows the communication process and...
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Automatic early detection of rice leaf diseases using hybrid deep learning and machine learning methods
Plant leaf disease detection is critical for long-term agricultural viability. Numerous Artificial Intelligence (AI) and Machine Learning (ML)...
