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Beyond Intelligence: AI for a Changing Planet proceedings series will be submitted to the Web of Science Book Citation Index (BkCI) and to SCOPUS for evaluation and indexing (T&C)*.

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About Conference

Get ready to dive into the world of innovation at Beyond Intelligence 2024! Hosted by The Institute for Educational Research and Publication (IFERP), this exciting international conference is happening on October 26th & 27th, 2024 in Beijing, China. Join scholars, educators, and researchers as we explore the power of Beyond Intelligence: AI for a Changing Planet into various fields. From dynamic discussions to insightful presentations, this event is all about using artificial intelligence to solve real-world problems. Get ready to be inspired and make a difference with us at Beyond Intelligence 2024!

keynote Speakers

Dr. Iris Efthymiou

Board Member & President
Interdisciplinary Committee
Hellenic Association of Political Scientists
United Kingdom.

Assoc Prof. Dr. Sandhya Patidar

Heriot-Watt University
United Kingdom.

Asst Prof. Dr. Mitra Madanchian

University Canada West
Canada

Dr. Abdel-Karim AI-Tamimi

Senior Lecturer
Sheffield Hallam University
United Kingdom

Session Speakers

Mr. Lalit Gautam

Chief Executive Officer
Sensegrass
France

Mr. Yonah Welker

Public Technologist
Former. Ministry Advisor, Tech Envoy, EU_Commission projects
Switzerland.

Dr. Evgeniy Gavrilov

Head
Artificial Intelligence,Uvenco
Moscow,Russia

Mr. Shivanshu Thapliyal

Head of AI-Innovation
HL Mando
India

Dr. NAM P. LE, DBA, CITP®|FIBP®

ASSISTANT PROFESSOR & Vice Chair
UNIVERSITY CANADA WEST
Canada

Dr. Zaki Zainudin

Water Quality and Modeling Specialist
Universiti Teknologi Malaysia
Malaysia

Girish M Ramachandran

Co-Founder CEO
IRGA Sdn Bhd

Session and Track

Beyond Intelligence: AI for a Changing Planet Sessions will actively contribute to the Sustainable Development Goals (SDGs)

Climate Change Modeling and Prediction

  • Integrating AI techniques for high-resolution climate models.
  • Predictive modeling of climate change impacts using machine learning.
  • Uncertainty quantification in climate projections with AI.
  • AI-Enhanced Climate Model Development:
  • Data Fusion and Integration for Climate Modeling
  • Dynamic Ensemble Climate Modeling
  • Explainable AI in Climate Science
  • Climate Impact Assessment
  • Optimizing Climate Models for Regional Predictions
  • Carbon Sequestration Modeling:
  • Climate Resilience Assessment and Planning
  • Urban Climate Modeling:
  • Ethical Considerations in AI-Driven Climate Modeling

The Climate Change Modeling and Prediction Contribution towards Achieving Sustainability Development Goals!

Goal 13: Climate Action
Goal 15: Life on Land

Eco-friendly Agriculture and Food Security

  • AI applications for precision agriculture and sustainable farming.
  • Smart irrigation systems and crop yield prediction using machine learning.
  • Sustainable supply chain optimization with AI in agriculture.
  • AI-Enhanced Crop Monitoring and Disease Detection
  • Sensor Integration for Precision Agriculture
  • Autonomous Farming Systems:
  • Weather Data Integration in Precision Agriculture
  • Machine Learning for Crop Yield Prediction
  • AI-Driven Smart Irrigation Systems:
  • Decision Support Systems for Farm Management:
  • Supply Chain Optimization in Agriculture
  • Carbon Footprint Reduction in Agriculture
  • Blockchain and AI for Traceability in Agriculture

The Eco-friendly Agriculture and Food Security Contribution towards Achieving Sustainability Development Goals!

Goal 1: No Poverty
Goal 2: Zero Hunger
Goal 3: Good Health And Well Being
Goal 6: Clean Water and Sanitation
Goal 7: Affordable and Clean Energy

Natural Disaster Resilience and Response

  • AI-enhanced early warning systems for earthquakes, hurricanes, and other disasters.
  • Real-time disaster monitoring and response using satellite data and AI.
  • Robotics and AI for disaster recovery and rebuilding efforts.
  • Seismic and Geophysical Data Analysis for Earthquake Prediction:
  • Machine Learning for Hurricane Intensity Prediction:
  • Integrated Sensor Networks for Disaster Early Warning Systems
  • AI-Driven Evacuation Planning and Route Optimization
  • Satellite Imagery and AI for Real-Time Disaster Monitoring
  • Social Media and Sentiment Analysis in Disaster Response
  • Humanitarian Robotics for Disaster Recovery
  • Predictive Analytics for Post-Disaster Economic Recovery
  • AI-Enhanced Community Resilience Building
  • Ethical Considerations in AI for Disaster Response

The Natural Disaster Resilience and Response Contribution towards Achieving Sustainability Development Goals!

Goal 9: Industry, Innovation, and Infrastructure
Goal 11: Sustainable Cities and Communities
Goal 13: Climate Action

Energy Transition and Renewable Resources

  • AI-driven solutions for optimizing renewable energy production.
  • Grid management and energy storage advancements with machine learning.
  • Intelligent forecasting for renewable energy generation.
  • Advanced Forecasting Models for Renewable Energy
  • Optimizing Wind Energy Production with AI
  • Solar Power Generation Optimization Using AI
  • Smart Grids and Self-Healing Networks
  • Energy Storage Management with Machine Learning
  • Decentralized Energy Systems and AI:
  • Predictive Maintenance for Renewable Energy Infrastructure
  • Optimal Siting and Resource Allocation
  • Intelligent Demand Response Systems
  • Machine Learning in Energy Market Forecasting

The Energy Transition and Renewable Resources Contribution towards Achieving Sustainability Development Goals!

Goal 9: Industry, Innovation, and Infrastructure
Goal 12: Responsible Consumption and Production
Goal 17: Partnerships for the Goals

Conservation Biology and Wildlife Protection

  • AI applications for monitoring and protecting endangered species.
  • Data analytics and machine learning in biodiversity conservation.
  • AI-assisted approaches for combating illegal wildlife trade.
  • Wildlife Monitoring with AI-Enabled Camera Traps:
  • Bioacoustic Monitoring and Species Identification
  • Satellite Remote Sensing and AI for Habitat Monitoring
  • Machine Learning for Biodiversity Data Analysis
  • Predictive Modeling for Species Distribution
  • Intelligent Anti-Poaching Technologies
  • Behavioral Analysis for Conservation
  • Genomic Data and AI in Conservation Genetics
  • Community-Based Conservation with AI
  • Blockchain and AI for Combating Wildlife Trafficking

The Conservation Biology and Wildlife Protection Contribution towards Achieving Sustainability Development Goals!

Goal 7: Industry, Innovation, and Infrastructure
Goal 9: Industry, Innovation, and Infrastructure
Goal 12: Responsible Consumption and Production
Goal 14: Life Below Water
Goal 15: Life on Land

Smart Cities and Sustainable Urban Planning

  • AI-based urban planning for reducing environmental impact.
  • Intelligent transportation systems for eco-friendly cities.
  • Energy-efficient building design and construction with AI.
  • Urban Mobility Optimization Using AI
  • Smart Infrastructure Design with AI
  • Energy-Efficient Building Envelopes with AI
  • Green Roof and Urban Greening Planning
  • Intelligent Traffic Flow Management
  • Renewable Energy Integration in Urban Planning
  • AI for Waste Management and Recycling
  • Public Space Design for Sustainable Living
  • Smart Grids and AI for Urban Energy Distribution:
  • Resilient Urban Planning with Climate Change Adaptation

The Smart Cities and Sustainable Urban Planning Contribution towards Achieving Sustainability Development Goals!

Goal 11: Sustainable Cities and Communities
Goal 12: Responsible Consumption and Production
Goal 13: Climate Action

Circular Economy and Waste Management

  • AI-driven solutions for waste reduction and recycling.
  • Smart waste management systems using machine learning.
  • Circular economy strategies with AI for sustainable consumption.
  • Waste Characterization with AI:
  • Intelligent Recycling Sorting Systems:
  • Smart Bin Technologies with IoT and AI
  • Predictive Analytics for Waste Generation:
  • Circular Economy Business Models with AI:
  • AI in Sustainable Packaging Design
  • Blockchain and AI for Transparent Recycling Supply Chains
  • Waste-to-Energy Conversion Optimization
  • Consumer Behavior Analysis for Waste Reduction
  • Circular Economy Metrics and Measurement

The Circular Economy and Waste Management Contribution towards Achieving Sustainability Development Goals!

Goal 9: Industry, Innovation, and Infrastructure
Goal 12: Responsible Consumption and Production

Environmental Health and Air Quality Monitoring

  • AI applications for tracking the impact of environmental factors on public health.
  • Real-time air quality monitoring and pollution prediction using machine learning.
  • Epidemiological studies using AI to understand environmental health risks.
  • Air Quality and Respiratory Health
  • Climate Change and Infectious Diseases
  • Vector-Borne Disease Surveillance
  • Heat-Related Illnesses and Climate Variability
  • Water Quality and Gastrointestinal Health
  • Noise Pollution and Mental Health
  • Green Spaces and Cardiovascular Health
  • Chemical Exposure and Cancer Epidemiology
  • Extreme Weather Events and Public Health Preparedness
  • Environmental Justice and Health Disparities

The Environmental Health and Air Quality Monitoring Contribution towards Achieving Sustainability Development Goals!

Goal 3: Good Health And Well Being
Goal 7: Industry, Innovation, and Infrastructure
Goal 12: Responsible Consumption and Production
Goal 13: Climate Action

Ethics, Policy, and Responsible AI in Environmental Sciences

  • Ethical considerations in deploying AI for environmental solutions.
  • Policy frameworks for responsible AI in global environmental initiatives.
  • International collaborations and governance in AI for sustainable development.
  • Ethics of AI in Environmental Decision-Making
  • Fair and Equitable Access to AI Environmental Solutions
  • Privacy Concerns in AI-Based Environmental Monitoring
  • Human-AI Collaboration in Environmental Management
  • Policy Development for Ethical AI in Environmental Conservation
  • Public Engagement and Ethical AI Decision-Making
  • Cross-Cultural Perspectives on AI Ethics in Environmental Initiatives
  • AI Governance and Accountability Mechanisms
  • International Collaboration for Ethical AI in Sustainability
  • Community-Based Approaches to Ethical AI Implementation

The Ethics, Policy, and Responsible AI in Environmental Sciences Contribution towards Achieving Sustainability Development Goals!

Goal 6: Clean Water and Sanitation
Goal 7: Affordable and Clean Energy
Goal 9: Industry, Innovation, and Infrastructure
Goal 11: Sustainable Cities and Communities
Goal 12: Responsible Consumption and Production
Goal 16: Peace, Justice and Strong Institutions

Important Dates

Early Bird Registration Date

06th October, 2024

Abstract Submission Date

11th October, 2024

Full Paper Submission Date

13th October, 2024

Registration Deadline Date

15th October, 2024

SUBMISSION

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SCOPUS-INDEXED JOURNALS

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Journal of Law and Sustainable Development
  • ISSN : 2764-4170
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African Journal of Biological Sciences.
  • ISSN : 2663-2187
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The Journal for Educators, Teachers and Trainers
  • ISSN : 1989-9572
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Proceedings on Engineering Sciences
  • ISSN : 2620-2832
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International Journal of Communication Networks and Information Security
  • ISSN: 2073-607X
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International journal of Intelligent Systems and Applications in Engineering
  • ISSN: 2147-6799

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  • Each registration allows one author or co-author to attend the event.
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