Conference Notifications:
"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."
Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in
Perth. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Perth event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Perth conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Perth, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Perth."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."
Conference Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Advancements in Predictive Modeling for Supply Chains
This track focuses on innovative approaches to predictive modeling within supply chain contexts. Researchers are invited to present methodologies that enhance demand forecasting and inventory optimization through advanced analytics.
Supervised Learning Techniques in Supply Chain Management
This session explores the application of supervised learning algorithms to solve complex supply chain challenges. Contributions should demonstrate how these techniques can improve decision-making processes and operational efficiency.
Unsupervised Learning for Anomaly Detection in Logistics
This track addresses the use of unsupervised learning methods for identifying anomalies in logistics and supply chain operations. Papers should highlight novel approaches to feature extraction and risk assessment.
Deep Learning Applications in Supply Chain Optimization
This session invites research on the integration of deep learning techniques in optimizing supply chain processes. Topics may include production planning, resource allocation, and predictive maintenance.
IoT Analytics for Enhanced Supply Chain Visibility
This track examines the role of IoT analytics in improving supply chain transparency and responsiveness. Submissions should focus on case studies or frameworks that leverage IoT data for better decision-making.
Data-Driven Decision Making in Supply Chain Management
This session emphasizes the importance of data-driven strategies in supply chain management. Researchers are encouraged to present frameworks that facilitate effective decision-making through analytics.
Logistics Analytics: Trends and Innovations
This track explores the latest trends and innovations in logistics analytics. Contributions should address how data analytics can enhance logistics performance and efficiency.
Risk Assessment and Management in Supply Chains
This session focuses on methodologies for risk assessment and management in supply chains using big data analytics. Papers should discuss frameworks that identify, analyze, and mitigate risks effectively.
Feature Extraction Techniques for Supply Chain Data
This track invites research on advanced feature extraction techniques tailored for supply chain data. Submissions should demonstrate how these techniques can enhance model performance and insights.
Predictive Analytics for Inventory Management
This session highlights the role of predictive analytics in optimizing inventory management practices. Researchers are encouraged to share insights on improving stock levels and reducing costs through analytics.
Integrating Big Data Analytics in Supply Chain Strategies
This track examines the integration of big data analytics into overarching supply chain strategies. Contributions should focus on case studies that illustrate successful implementations and outcomes.