We elaborate on the research orientation of edge computing and enhance the publication productivity through the following research fields

Intelligently Reduce Transportation’s Energy Consumption

Towards an Optimized Security Approach to IoT Devices with Confidential Healthcare Data Exchange

Modified Machine Learning Technique for Curve Fitting on Regression Models for COVID-19 projections 

Shaping the Future of Digitally Enabled Health and Care

IoT cloud-based framework using of smart integration to control the spread of COVID-19 

Evaluation of the COVID-19 Era by Using Machine Learning and Interpretation of Confidential Dataset

Energy Conservation by using the Integration of Distributed Energy System in Smart Vehicles

Enhancement of COVID-19 Detection by Unravelling its Structure and Selecting the Optimal Attributes

 Robust Encryption to Enhance IoT Confidentiality for Healthcare Ecosystems

Network Security by Merging two Robust Tools from the Mathematical Firmament

Internal Virus Detection Framework Based on IoT Semantic Interoperability

CNN-Based Emotional Stress Classification using Smart Learning Dataset

Sustainable Framework for Smart Assistive Living Improvement through IoT-based Integration Model

Secure two-way communications between UAVs and control center in IoV 5G communication

UAV Trajectory Optimisation in Smart Cities using Modified A* Algorithm Combined with Haversine and Vincenty Formulas

Cultivate Smart and Healthy Ageing

UAV-Assisted RSUs for V2X Connectivity Using Voronoi Diagrams in 6G + Infrastructures

Optimisation of CNN through Transferable Online Knowledge for Stress and Sentiment Classification

Enabling IoT Continuous Connectivity in Smart Spaces

Evaluating Urban Environments for the Integration of Cutting-Edge Technologies Enhances Smart Cities' Evolution

On the Integration of User Preferences by using a Hybrid Methodology for Multi-Criteria Decision Making

Ensuring Confidentiality of Healthcare Data Using Fragmentation in Cloud Computing

IoT interoperability enhances smart and healthy living 

Transitioning to Smart Sustainable Cities Based on Cutting-Edge Technological Improvements 

Intelligent Node Deployment in Smart Spaces to Optimize Sensor Signal and Data Acquisition 

6G+ Networks Through Enhanced Efficiency and Sustainability With MADDPG-Driven Network Slicing in SoS Environments

Enhancing Secure Communication in 6G-Enabled IoV through UAV and Control Center Integration

Enhancing UAV Network Efficiency through 6G+ Enabled Federated Learning Algorithms and Energy optimization Techniques

Exploring Quantum-Resistant Cryptography Solutions for Health Data Exchange

On the Quantum Analysis by using Semantic Integration and Covert Communication for Next-Generation Networks

Advancing Smart City Infrastructure with V2X Vehicle-Road Collaboration: Architectural and Algorithmic Innovations

Transforming ageing in the metaverse: embracing virtual communities for enhanced well-being and empowerment

On the Synergy of IoMT Devices and Ceiling-Mounted Systems for Advanced Medical Data Analytics

Enhancing Healthcare Data Confidentiality Through Fragmentation Techniques Within Cloud-Enabled Intelligent IoT Security and Privacy Frameworks

Sustainable AI with Quantum-Inspired Optimization: Enabling End-to-End Automation in Cloud-Edge Computing

Enhanced Self-Deployment in IoT Sensor Networks through Leveraging 3D-Voronoi Diagrams with an Advanced Genetic Algorithm

Advantages of Deep Reinforcement Learning in Moving Target Defense for Network Slicing Security

Enhancing QoL with IoT Interoperability for Diabetes and Hypertension Management

SDN-Driven Adaptive Routing Reconfiguration for IoT in Smart Spaces

On the Integration of IoT and Cloud Computing for Ultra-Reliable Spectrum Allocation in e-Health

Enhancing network slice security with Deep Reinforcement Learning and Moving Target Defense strategies

Lightweight Lattice-Based Secure Communication Framework for Forward and Backward Secrecy in IoD Systems

Deep Reinforcement Learning for Dynamic Network Slice Security Using Moving Target Defense

Quantum Computing in Semantic Communications: Overcoming Optimization Challenges with High-Dimensional Hilbert Spaces

On the Design of a Hybrid Framework for Resilient Indoor IoT Connectivity via Distributed 3-D Voronoi Deployment, Mobile Agents, and RIS-assisted Communication

A Privacy-Preserving and Efficient Driver Recognition Framework for Sustainable ITS Using DRL and FL

Secure and Resilient IoMT Node Deployment: Enhancing Privacy and Threat Mitigation with 3D Voronoi Diagrams and a PSO-GA Hybrid Algorithm in Healthcare Networks