Dotnet-Cloud Computing
1.Optimizing Task Offloading for Collaborative Unmanned Aerial Vehicles (UAVs) in Fog?Cloud Computing Environments.
2.Framework of Cloud Computing Resource Scheduling for Vehicle Fault Diagnosis.
3.Enhancement of Fog Caching Using Nature Inspiration Optimization Technique Based on Cloud Computing.
4.Deadline and Energy-Aware Application Module Placement in Fog-Cloud Systems.
5.A Secure and Distributed Placement for Quality of Service-Aware IoT Requests in Fog-Cloud of Things: A Novel Joint Algorithmic Approach.
6.Trust Model Considering Uncertainty and Dynamics in Cloud Computing.
7.Design and Simulation of an Edge Compute Architecture for IoT-Based Clinical Decision Support System.
8.Parallel Enhanced Whale Optimization Algorithm for Independent Tasks Scheduling on Cloud Computing.
9.Stub Signature-Based Efficient Public Data Auditing System Using Dynamic Procedures in Cloud Computing.
10.Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing.
11.An Energy-Aware Task Offloading and Load Balancing for Latency-Sensitive IoT Applications in the Fog-cloud Continuum.
12.Cloud Network Anomaly Detection Using Machine and Deep Learning Techniques? Recent Research Advancements.
13.VMMISD: An Efficient Load Balancing Model for Virtual Machine Migrations via Fused Metaheuristics With Iterative Security Measures and Deep Learning Optimizations.
14.Dynamic AES Encryption and Blockchain Key Management: A Novel Solution for Cloud Data Security.
15.Computing Resource Allocation Strategy Based on Cloud-Edge Cluster Collaboration in Internet of Vehicles.
16.A Federated Cloud-based Auction Mechanism for Real-Time Scheduling of Vehicle Sensors in Vehicle-Road-Cloud Collaborative System.
17.A Multi-Objective Evolutionary Approach: Task Offloading and Resource Allocation Using Enhanced Decomposition-based Algorithm in Mobile Edge Computing.
18.CFWS: DRL-based Framework for Energy Cost and Carbon Footprint Optimization in Cloud Data Centers.
19.Weakly Supervised Adversarial Training for Remote Sensing Image Cloud and Snow Detection.
20.Game Theory-based UAV-Cloud for Service Selection Architecture in Flying Ad Hoc Networks.
21.Cloud-Edge-End Collaborative Intelligent Service Computation Offloading: A Digital Twin Driven Edge Coalition Approach for Industrial IoT.
22.Multi-Dimensional Flat Indexing for Encrypted Data.
23.Augmented IoT Cooperative Vehicular Framework Based on Distributed Deep Blockchain Networks.
DATA MINING
1.Customer Behaviour Analysis and Predictive Modelling in Supermarket Retail: A Comprehensive Data Mining Approach.
2.Reversible Data Hiding in Encrypted Images with Asymmetric Coding and Bit-plane Block Compression.
3.Cost-Effective Event Mining on the Web via Event Source Page Discovery and Data API Construction.
4.Developing a Machine Learning Algorithm to Determine COVID-19 Contamination in Different Age Groups and Comparing Statistical Algorithms and Learning Data.
5.An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining.
6.Algorithm for Mining Maximal Balanced Bicliques using Formal Concept Analysis.
7.An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection.
8.Extraction of building construction time using the LandTrendr model with monthly Landsat time series data.
9.On the Privacy of the Count-Min Sketch: Extracting the Top-K Elements.
10.Using ontology and rules to retrieve the semantics of disaster remote sensing data.
NETWORKING
1.On-Policy vs. Off-Policy Reinforcement Learning for Multi-Domain SFC Embedding in SDN/NFV-Enabled Networks.
2.A Multitask Network Robustness Analysis System Based on the Graph Isomorphism Network.
3.Wireless Sensor Network (WSN) Model Targeting Energy Efficient Wireless Sensor Networks Node Coverage.
4.Investigating the Impact of Optimal Data Transfer Intervals on Failure-Prone Wireless Sensor Networks.
5.CEPSO: A Novel Clustering Algorithm for Enhancing the Lifetime and Energy Efficiency of Wireless Sensor Networks in Power Grids.
6.Testing of Emerging Wireless Sensor Networks Using Radar Signals With Machine Learning Algorithms.
7.Frequency-Switchable Routing Protocol for Dynamic Magnetic Induction-Based Wireless Underground Sensor Networks.
8.Coverage and Routing Optimization of Wireless Sensor Network Using Improved Cuckoo Algorithm.
9.Application Research of DV-HOP Wireless Sensor Localization System Based on Geometric Constraint Optimization.
10.Data Traffic Based Shape Independent Adaptive Unequal Clustering for Heterogeneous Wireless Sensor Networks.
SECURE COMPUTING
1.Secure Outsourcing Evaluation for Sparse Decision Trees.
2.UAVs and Blockchain Synergy: Enabling Secure Reputation-based Federated Learning in Smart Cities.
3.A Blockchain-Enabled Vehicular Edge Computing Framework for Secure Performance-oriented V2X Service Delivery.
4.Efficient FHE-based Privacy-Enhanced Neural Network for Trustworthy AI-as-a-Service.
5.PUF-Based Authentication-Oriented Architecture for Identification Tags.
6.DYST (Did You See That?): An Amplified Covert Channel That Points To Previously Seen Data.
7.Laccolith: Hypervisor-Based Adversary Emulation with Anti-Detection.
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Ekadd Technologies
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3rd Floor Kamaraj Building
Near Anna Bus Stand
Nagercoil-629001
ekaddprojects@gmail.com
04652-358269