AI in Engineering and Manufacturing
Session Overview:
The upcoming AI & Its Applications: Transforming Industries and Society-2024 promises to be a pivotal event, uniting leading Research Experts worldwide. Attendees can look forward to unparalleled networking opportunities, gaining invaluable insights, and showcasing their research contributions. With a central theme focused on sustainability, the conference aims to lay the groundwork for a healthier and more prosperous future for generations to come.
Don't miss out on this opportunity to collaborate with esteemed experts and contribute to shaping the trajectory of scholarly excellence. Submit your full papers and abstracts across a wide range of sessions to be part of this transformative experience.
AI in Engineering and Manufacturing is
contribution to
The
Sustainable
Development Goals:
Goal 8: Decent Work and Economic Growth
Goal 9: Industry, Innovation, and Infrastructure
Goal 17: Partnerships for the Goals
Who Can Join
Research Scholars
Technology Experts
Students & Alumini’s
Editorial Board Members of Journals
Government Officials
Industry Professionals
Tracks
Topics of Interest for Submission include, but are not limited to:
1 Smart Manufacturing and Industry 4.0
2 Predictive Maintenance
3 Quality Control and Assurance
4 Robotics and Automation
5 Energy Management
6 Digital Twin Technology
7 Supply Chain Visibility with AI
8 AI-driven Product Design and Development
9 Human-Robot Collaboration
10 AI for Additive Manufacturing (3D Printing)
11 Sustainable Manufacturing Practices
12 Augmented Reality (AR) in Manufacturing
13 Advanced Materials Discovery with AI
14 Cyber-Physical Systems in Manufacturing
15 Intelligent Asset Management
16 Real-time Production Optimization
17 Quality Predictions and Proactive Defect Prevention
Session Speaker
Dr. Zainab Rasheed
CEO of Zennova Technology
Dubai, UAE.
Key Themes
- In the realm of engineering and manufacturing, the integration of artificial intelligence (AI) has sparked a revolution, reshaping traditional practices and propelling industries towards unprecedented efficiency and innovation. At the forefront of this transformation is the concept of Smart Manufacturing and Industry 4.0, where AI-powered systems orchestrate the entire production process, from design to delivery, optimising resources and minimising waste. Predictive Maintenance emerges as a crucial component, leveraging AI algorithms to anticipate equipment failures before they occur, thereby reducing downtime and maintenance costs while ensuring uninterrupted operations.
- Quality Control and Assurance undergo a paradigm shift with AI's intervention, as sophisticated algorithms analyse vast datasets in real-time to detect defects and deviations with unparalleled accuracy. Robotics and Automation take centre stage, as intelligent machines collaborate seamlessly with human workers, streamlining tasks and augmenting productivity. Energy Management is revolutionised through AI-driven optimisation, enabling manufacturers to minimise energy consumption and environmental impact while maximising efficiency and cost savings.
- The advent of Digital Twin Technology offers a virtual replica of physical assets, facilitating simulation and optimisation for enhanced performance and predictive insights. Supply Chain Visibility is revolutionised by AI, offering real-time monitoring and analytics across the entire supply chain, enabling proactive decision-making and risk mitigation. AI-driven Product Design and Development accelerate innovation cycles, empowering engineers with predictive analytics and generative design capabilities. Human-Robot Collaboration marks a new era of synergy on the factory floor, where AI enables seamless cooperation between human workers and robotic counterparts, optimising workflows and ensuring safety.
- AI for Additive Manufacturing unlocks new possibilities in design complexity and customisation, pushing the boundaries of what's achievable with 3D printing technologies. Sustainable Manufacturing Practices are elevated through AI-enabled optimisation, driving resource efficiency, and reducing environmental impact.
- Augmented Reality (AR) finds its place in manufacturing, enhancing training, maintenance, and assembly processes with immersive digital overlays. Advanced Materials Discovery with AI expedites R&D efforts, unlocking novel materials with tailored properties for diverse applications.
- Cyber-Physical Systems in Manufacturing integrate AI algorithms with physical processes, creating interconnected systems that adapt and optimise in real-time. Intelligent Asset Management leverages AI-powered analytics to extend asset lifecycles and minimize downtime through proactive maintenance strategies. Real-time Production Optimisation becomes achievable through AI-driven analytics, enabling continuous improvement and agile responsiveness to dynamic market demands.
- Quality Predictions and Proactive Defect Prevention redefine manufacturing standards, as AI algorithms anticipate defects and prescribe preventive measures, ensuring unparalleled product quality and reliability.
Scope & Benefits of Attending AI & Its Applications: Transforming Industries and Society-2024 conference:
Prepare yourself for an extraordinary experience at the AI & Its Applications: Transforming Industries and Society-2024 conference, where attendees will have the opportunity to explore a diverse range of topics spanning various disciplines.
Benefits of Attending AI & It's Applications
2024
- Attending the AI & Its Applications: Transforming Industries and Society-2024 conference presents a myriad of opportunities for professionals across various sectors. With subtopics spanning AI's impact on business transformation, agriculture, media, healthcare, education, engineering and manufacturing, social impact, cybersecurity, and emerging technologies, the conference offers a comprehensive exploration of AI's multifaceted applications.
- For businesses, the conference provides invaluable insights into leveraging AI for transformational growth. Attendees will discover innovative strategies and case studies showcasing how AI is reshaping industries, optimising operations, and driving competitive advantage.
- In the agriculture sector, participants can delve into the latest advancements in AI-driven precision farming, crop monitoring, and smart irrigation systems. By understanding how AI is revolutionising agricultural practices, attendees can harness these technologies to enhance productivity, sustainability, and food security.
- Media professionals will benefit from insights into AI's role in content creation, recommendation systems, and audience engagement. From personalised experiences to content optimisation, AI is redefining how media organisations deliver and monetise content in the digital age.
- Healthcare practitioners and researchers will find a wealth of knowledge on AI's applications in disease diagnosis, personalised medicine, and patient care. By exploring AI-driven healthcare innovations, attendees can discover new ways to improve patient outcomes, streamline workflows, and enhance overall healthcare delivery.
- Educators and policymakers will gain insights into AI's potential to revolutionise learning experiences, adaptive learning platforms, and educational content creation. By integrating AI into educational systems, attendees can explore opportunities to personalise learning, improve student outcomes, and address challenges in education access and equity.
- In engineering and manufacturing, AI is driving advancements in automation, predictive maintenance, and quality control. Attendees will learn how AI-powered technologies are optimizing processes, reducing downtime, and enabling agile, data-driven decision-making in industrial settings.
- AI for social impact and society explores how AI can address pressing global challenges, from poverty and inequality to climate change and humanitarian aid. By showcasing AI-driven initiatives and projects, attendees can gain inspiration and insights into leveraging technology for positive social change.
- Cybersecurity professionals will find a wealth of knowledge on AI's role in threat detection, vulnerability assessment, and incident response. By understanding AI's capabilities and limitations in cybersecurity, attendees can enhance their organisations' defense strategies and mitigate evolving cyber threats.
- Lastly, exploring AI's emerging technologies offers a glimpse into the future of AI innovation. From quantum computing to neuromorphic engineering, attendees can stay ahead of the curve by understanding the latest trends and developments shaping the AI landscape.
- Overall, AI-2024 promises to be an enriching experience, providing attendees with unparalleled opportunities for learning, collaboration, and innovation across a diverse spectrum of topics.
Author Guidelines
Guidelines for Abstract Submission:
- Language: Abstracts must be written in English.
- Length: Limited to one paragraph with 200-250 words.
- Format: Submit in MS Word (.doc or .docx) document format.
- Content: Abstracts should provide an informative summary of the original work. Include a brief biography with your abstract, following the example provided in the template.
- Formatting: Center-align the Title, Author's Names, and Affiliations. Underline the presenting author's name.
- Submission: Please submit your abstract through the designated submission portal.
- Acknowledgment: Upon abstract submission, you will receive an acknowledgment email within three working days.
Evaluation Process
Guidelines for Full Paper Submission
If your abstract has been accepted and the registration fee for AI & It's Applications -2024 has been paid, you are invited to submit the full paper. Please adhere to the following guidelines for the submission:
- Total number of pages: 6-8 in double-column format
- Language: English (checked for grammar and language errors)
- Tables, figures, and images should be properly named and of high quality.
- Keywords should be written in lowercase letters (except for names/scientific names) and separated by commas.
- Affiliation names, including the country, must be provided.
- Each paper should be structured into the following sections:
- Background, Motivation, and Objective
- Statement of Contribution/Methods
- Results, Discussions, and Conclusions
Once your full paper is prepared according to the above instructions, please proceed to submit it through the provided link. Submit your Full paper Here.
PEER-REVIEWED GOOGLE SCHOLAR INDEXED JOURNAL
Computational Intelligence And Machine Learning
ISSN: 2582-7464
Technoarete Transactions on Advances in Data Science and Analytics
ISSN: 2583-2956
Technoarete Transactions on Industrial Robotics and Automation Systems
ISSN: 2583-1941
Technoarete Transactions on Internet of Things and Cloud Computing Research
ISSN: 2583-0805
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