TRACKS & TOPIC

THE GLOBAL SUMMIT SUMPOSIUM  ON ENERGY  AND ENVIRONMENT  OF AI2SD SYMPOSIUM SERIE

managing, optimizing, communicating, and computing intelligence for renewable energies and environment including Energy Sustainable Technologies, Artificial intelligence and big data for energy transition, Smart Grid, Green Virtual Technologies, Energy security and sustainability, Public Environment, Climate change Energy systems modeling.

GSS AFS’2023 will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects.
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of AI and Machine Learning.

Agriculture Engineering,  Agriculture Biotechnology,  AGRI Business, Agricultural Economics,  Precision Agriculture, Agriculture & Food Security, Agronomy and Crop Sciences, Agriculture and Environment, Agroforestry and Landscaping, Green House and Poly House Agriculture, Dairy, Poultry and Livestock Farming, Aquaculture and Apiculture, Farm Tools and Machinery, Soil Science and Agricultural Chemistry, Digital Agriculture, Agricultural Safety

Track 01 : Green Energy
  • Energy Sustainable Technologies
  • Energy Power Management
  • Algorithmic Developments and Deployment Strategies for Green Computing
  • Energy Management in Data Centres
  • Green Cloud Computing in Energy Efficiency
  • Green Wireless Networks
  • Green Cloud Computing
  • Green Parallel Computing with Big Data and Data Analytics
  • Smart Grid
  • Energy Product Recycling and Energy Recycling Strategies
  • Ambient Intelligence-Based Green Computing
  • Green Virtual Technologies
  • Green Monitoring Systems
  • Energy Production and Storage
  • Energy security and sustainability
  • Energy-efficient and sustainable buildings
  • Energy efficiency in industry
  • Energy systems modeling
  • and Smart Cities 
Track-02: Environment
  • Environmentalmodeling
  • Climate change
  • Energycommunities and prosumers
  • Natural resources and Materials
  • Energyindicators for sustainability
  • Environmental impacts of energysystems
  • Digital technologies for sustainableenergysystems
  • Artificial intelligence and big data for energy transition
  • Public policies and smart regulation for sustainable and carbonneutralenergy system
  • Energyeconomics and markets
  • Energy Transition Financing
  • EnergyPoverty
  • Social aspects of energy transition
  • Educational and legal aspects of energy transition
  • Public Health and Environment
  • Health and CircularEconomy
  • Sustainable cities
  • Sustainable Mobility
  • Economic Analysis of Low carbon Business Models 
  • Life Cycle Analysis and Economic Analysis
Track-03: Agriculture & Food Security
  • Precision Agriculture and AI.
  • Crop Monitoring and Disease Detection.
  • Climate Prediction and Adaptation.
  • Smart Irrigation Systems.
  • Supply Chain Optimization.
  • Robotic Farming.
  • Market Price Predictions.
  • Data-Driven Decision Making.
  • Food Safety and Traceability.
  • Agricultural Knowledge Sharing.
  • Climate-Resilient Crop Breeding.
  • Land Use and Resource Optimization.
  • Farm Management Software.
  • Livestock Monitoring,   AI and IoT (Internet of Things).
  • Food Security Early Warning Systems.
  • Remote Sensing and Satellite Imagery.
  • Personalized Nutrition.
  • Food Preservation and Storage.
  • Blockchain and Food Supply Chain.
  • Capacity Building and Training.
Heuristic Optimization of Electrical Energy Systems
A Heuristic is a technique to solve a problem faster than classic methods, or to find an approximate solution when classic methods cannot. This is a kind of a shortcut as we often trade one of optimality, completeness, accuracy, or precision for speed. A Heuristic (or a heuristic function) takes a look at search algorithms. At each branching step, it evaluates the available information and makes a decision on which branch to follow. It does so by ranking alternatives. The Heuristic is any device that is often effective but will not guarantee work in every case (data-flair.training).

Themes and Topics

THE CONFERENCE IS SEEKING SUBMISSIONS RELATED TO THE FOLLOWING CONFERENCE TOPICS : ALL ASPECTS OF AGRICULTURE AND FOOD SECURITY, AND APPROACHES TO COMPUTATIONAL INTELLIGENCE IN HEALTHCARE. OTHER RELATED TOPICS WILL ALSO BE CONSIDERED.

 

Renewable Energies

Climat Change And Environmemnt

Smart Grid, Micro Grid

Green Virtual Technologies