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  • 3RD INTERNATIONAL CONFERENCE ON EMERGING TRENDS & INNOVATION ( Special Collection)
    Vol. 5 No. 1.1 (2025)

    Special Issue on Emerging Trends & Innovation

    Topics of Interest include but not limited to follow:

    • Smart Cities Transformation:
    • Next-Gen Route Planning Algorithms in VANETs
    • Securing VANETs for Internet of Things (IoT
    • Emergency Response Revolution: VANETs
    • Edge Computing Empowerment in VANETs:
    • Green VANETs:
    • Smart Parking Solutions in Smart Cities:
    • Smart Cities and VANET Integration:
    • Intelligent VANETs:
    • Driving Intelligence:
    • Urban Insight:
    • Quality of Service Mastery:
    • Flying Ad Hoc Networks Integration with VANETs:
    • V2X Communication Protocols:
    • Optimizing Internet of Vehicles (IoVs
    • Securing the Future:
    • Towards Resilient V2V Communication:
    • Spectrum Management
    • UAV Swarms and Smart Cities
    • Cloud Computing for UAV Swarms
    • Cybersecurity in UAV Swarm Operations
    • Machine Learning Applications in UAV Swarms
    • Surveillance and Monitoring in Smart Cities
    • Urban Planning and Infrastructure Management
    • Public Perception and Acceptance
    • Infrastructure Resilience and Disaster Management
    • International Perspectives on UAV Swarms
    • Real-world Deployments of UAV Swarms
    • Integration of IoT Devices with UAV Swarms
    • Smart Infrastructure for IoT and UAV Swarms
    • Economic Analysis of IoT and UAV Swarm Integration
    • Edge Computing for UAV Swarm Operations
    • Blockchain Applications in UAV Swarm Security
    • 5G Integration for Enhanced UAV Swarm Connectivity
    • Augmented Reality (AR) and Virtual Reality (VR) for UAV Swarm Visualization
    • Innovations and Future Directions in UAV Swarm for Protecting Smart Cities
    • Introduction to Drones and Artificial Intelligence in Warfare
    • Fundamentals of Drone Technology and AI Integration
    • Basics of Artificial Intelligence in Warfare
    • Drone Swarms:
    • Autonomous Drones
    • Logistics and Supply Chain Management with AI and Drones
    • Cybersecurity in Drone and AI Systems
    • Machine Learning for Intelligence Analysis in Drone Operations
    • Deep Learning for Image and Signal Processing in Drone Operations
    • The Role of IoT in Drone Networks and AI Integration
    • Innovation in Drone Technology and AI Development
    • AI Applications Beyond Warfare and Their Impact
    • Challenges and Risks of AI in Warfare Scenarios
    • Psychological Impact of Autonomous Warfare with AI
    • Training and Education for Future Warfare with AI
    • Collaboration and Alliances in Technology Development with AI
    • Shaping the Future of Warfare with AI
    • Introduction to Drones in Farming
    • Historical Perspective of Drones in Agriculture
    • Modern Applications of Drones in Farming
    • Benefits and Challenges of Implementing Drones in Agriculture
    • Emerging Technologies in Farming
    • Drones for Crop Monitoring and Management
    • Precision Agriculture Techniques with Drones
    • Drones for Soil Analysis and Mapping
    • Drones for Irrigation Management and Water Conservation
    • Integration of Drones with IoT in Farming Systems
    • Machine Learning Integration in Agricultural Drone Systems
    • Deep Learning Techniques in Agricultural Drones
    • Cybersecurity Concerns in Agricultural Drone Systems
    • Securing Drone Data: Challenges and Solutions
    • Future Trends in Drones and Farming
    • Regulatory Frameworks and Legal Considerations for Agricultural Drones
    • Sustainability and Environmental Impact of Drone Technology in Agriculture
    • Economic Analysis of Implementing Drones in Farming Operations
    • Case Studies: Successful Implementation of Drones in Various Farming Scenarios
    • The Role of Drones in Shaping the Future of Agriculture
    • Introduction to Drones in Transportation
    • Applications of Drones in Transportation
    • Challenges and Opportunities in Drone Transportation
    • Technology Behind Drone Transportation
    • Internet of Things (IoT) and Drones in Transportation
    • Deep Learning and Machine Learning in Drone Navigation for Transportation
    • Optimization Techniques for Drone Transportation Operations
    • Cybersecurity in Drone Transportation
    • Environmental Impacts and Sustainability in Drone Transportation
    • Economic and Social Implications of Drones in Transportation
    • Case Studies in Drone Transportation
    • Ethical Considerations in Drone Usage for Transportation
    • Integration with Existing Transport Systems Using Drones
    • Future Trends and Emerging Technologies in Drone Transportation
    • Education and Training for Drone Operators in Transportation
    • Global Perspectives on Drone Regulation in Transportation
    • Public Perception and Outreach Regarding Drones in Transportation
    • Government Initiatives and Policy Recommendations for Drone Transportation
    • Shaping the Future of Transportation with Drones
    • Overview and Essentials of Cyber Security in Information Systems
    • AI and Machine Learning:
    • Cyber Analytics:
    • Evolution of Cyber Threats and the Need for Next-Gen Solutions
    • Securing IoT Devices with AI-powered Solutions
    • Supervised and Unsupervised Learning Techniques for Threat Classification and Anomaly Detection in Cyber Security
    • Machine and Deep Learning Methods for Intrusion Detection System
    • Recurrent Neural Networks Applications
    • Next-Gen Cyber Defense:
    • Federated Learning Techniques and Applications in Privacy-preserving Threat Analysis
    • Next-Generation Image-based Threat Analysis:
    • The Essential Role of Ensemble Learning Methods for Enhancing Cyber Security Defense
    • Visualizing Cyber Analytics:
    • Case Studies and Practical Applications of Data Analytics in Cyber Security
    • Ethical Considerations in the Use of AI and Data Science for Cyber Analytics and Next-Gen Cybersecurity for Securing Information Systems
    • Future Emerging Challenges and Innovations in Next Gen-Cybersecurity and Information Systems Security
    • AG-IOT Based Applications:
    • Advanced Techniques in Computer Vision for AG-IoT
    • Integration of AG-IoT with Robotic Systems
    • Cognitive Robotics and AG-IoT Applications
    • Sensor Fusion in AG-IoT-enabled Robotics
    • Robotics and AG-IoT in Smart Cities
    • Human-Robot Interaction in AG-IoT Environments
    • Cloud Computing and AG-IoT for Robotics
    • Security and Privacy in AG-IoT-enabled Robotic Systems
    • Edge Computing in AG-IoT for Real-time Robotics
    • Applications of AG-IoT in Industrial Robotics
    • Augmented Reality (AR) and AG-IoT Integration in Robotics
    • Robotics in Healthcare: AG-IoT Perspectives
    • Case Studies and Success Stories in AG-IoT Robotics Implementation
    • Challenges and Opportunities in AG-IoT Robotics
    • Management of Information Systems and AG-IoT Robotics
    • Role of AG-IoT in Autonomous Robotics
    • Future Trends in AG-IoT for Robotics
    • Machine Learning Algorithms for Computer Vision in Robotics
    • Evolution of Internet of Things (IoT) in Robotics
    • Business and social sciences
    • Economics and Finance
    • Green Management and Circular Economy
    • Online education and e-learning
    • Big Data Management
    • Business Management
    • Business Dynamics
    • Spanning Strategy
    • Marketing, Finance, and Operations

    Lead Guest Editor:

    Dr. Ahthasham Sajid
    Department of Computer science, Fazaia Bilquis College of Education for Womens, PAF Nur Khan, Rawalpindi, Air University, Islamabad

    hodcs@fbcoew.edu.pk  

    Paper Submisison Deadline:

     30th August 2025