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[Call for Papers] Second Analytics Conference 2024 | Taylor & Francis




November 29& 30,  2024 | Virtual Conference





About

The Second Edition of the International Analytics Conference builds upon the foundation laid by the inaugural event in 2023, which was dedicated to addressing societal challenges through advancements in various sectors, including science and technology, business, social and electronic media, online merchandising, policies, and intercultural interactions. The first edition emphasized the role of AI, machine learning, and big data in transforming fields such as weather forecasting, climate tracking, education, business processes, electronics, sensors, vaccines, and pharmacy. However, it also highlighted the growing threat of cyber-attacks on critical infrastructure, underscoring the need for solutions in digital forensics that draw on expertise in AI, data, electronics, digital technologies, IT, multimedia, and law.

Vision

The vision for the second edition remains steadfast: to provide society, science, and technology with valuable "Insights" into the latest developments across diverse fields. By facilitating a comprehensive analysis of accumulated human knowledge, the conference aims to address pressing societal issues. The published concepts will serve as a resource for researchers, industry professionals, and other stakeholders to explore and implement solutions for these challenges.

Mission

The mission of the conference is to foster a robust and integrated ecosystem that leverages the potential and exponential growth of Interdisciplinary Cyber-Physical Systems (ICPSs), business innovation, the human touch in technology, and the interconnectedness of society and the environment.

With a focus on bringing together a significant number of scholarly events, the conference will span two days, held virtually, providing an exceptional platform for students, academics, and industry researchers to engage in high-quality discussions and presentations.

Tracks & Scope

Computer Science & Engineering | Information Technology for Sustainability

​Machine learning, Artificial Intelligence, Algorithms, Data analytics, Computations, and their applications to sustainability. Intelligent Computations. Soft Computing and AI-driven Process Automation. Genetic Algorithms and Programming

Evolutionary Multi-Objective Optimization, Evolution Strategies, Evolutionary Robotics and Intelligent Agents

Hybrid Systems, evolutionary Rule-based systems, Memetic Algorithms, Hyperheuristics, Biocomputing and Complex Adaptive Systems, Swarm/Collective Intelligence, Bioinformatics and life sciences, Computer vision, image processing and pattern recognition, Dynamic environments, time series and sequence learning, Visualizing and improving the interpretability of machine learning models, Generalization and overfitting, Policy search and reinforcement learning, Fuzzy Logic, Rough Sets and Bayesian Methods, Cognitive Learning, Learning Paradigms, Memory Paradigms and Reasoning Models, Explainable AI, and adversarial Machine Learning, Extreme Learning Machines, Quantum Computing, Generative Adversarial Models, Natural Language Processing, Computational Genomics, Recommendation Systems, Smart Cities and Systems, Music Information Retrieval

Big Data Analytics, Deep Learning Concepts Modelling, Soft Computing and Nature inspired computing, Human Machine Interaction, Web Intelligence and Social Networking, Cognitive systems and cognitive modelling, Biocomputing and Complex Adaptive Systems, Bio-Inspired Hardware and Networks, Swarm/Collective Intelligence, Cloud, Fog and Cluster computing, Ubiquitous Intelligence and Mobile computing, Emerging tools, technologies and Security, Data mining, Bioinformatics and life sciences; Computer vision, image processing and pattern recognition; Dynamic environments, time series and sequence learning;

Cognitive systems and cognitive modelling; Game Theory and Applications; Augmented & Virtual Reality; Industry 4.0; Social and Crowd Computing; Robotic Process Automation; Cybersecurity and cybernetics; Intelligent E-learning systems; Neural Networks and Pattern Recognition; Security, Authentication and Privacy; Block Chain and Cryptocurrency; Sentiment Analysis.

Electrical and Electronics | Telecommunications for Sustainability

​Industry 4.0; Hardware; Internet of Things; 5G/6G Communications; Robotics; Internet of Medical Things (IoMT) and Smart Healthcare; wireless power transfer; wireless technologies, systems science and automation; power station; substations; high voltage engineering; power electronics; electrical machines and drives; Embedded system design; FPGA; Microelectronics, Radio Frequency; Microwave, Signal Processing, Nano-electronic Devices, Digital Signal Processing.

​Advances in Mathematics for Deep Technologies

​Deep Learning (DL) and Machine Learning (ML) is now one of the fastest growing fields of research both in academia and Industry. However, the underlying principles of mathematics, statistics and computer sciences is still being understood by the researcher community and the industry across the globe. We, therefore, encourage submissions from researchers from diverse disciplines.

Broad Areas Topics may address any area of deep learning research such as:

  • Expressivity

  • Generalization

  • Optimization

  • Representations

  • Computation

  • Network architectures​

  • Recurrent networks

​Basic Sciences for Sustainability

​Chemistry, Physics, Materials Sciences, Geology, Geography, Medical and Life Sciences. Oceanography, Rock Mechanics, Engineering Geology, Water Resources, pollution studies, toxicology, pharmacy, Nano-Sciences Nano-Engineering and Nanotechnology. Sensors and Systems.

​General Engineering & Industry 4.0 Technologies

​Other branches of Engineering- Mechanical, Civil, Structural, Thermal. This track focuses on various branches of Engineering and technology that are classified as the aspects of 4th Industrial revolution.


Conference Fee

91 USD|RM 410 (Malaysian Ringgit)| 7670 INR - Conference Sessions- Certificates- One Publication in Taylor & Francis



Important Dates

1. Submission of Manuscripts: 30-09-2024

2. Decision: 30-10-2024

3. Fee Payment: 30-10-2024 to 9-11- 2024

4. Camera Ready paper submission: 10-11-2024

5. Publication: 28-03-2025

6. Indexing Results: 30-07-2025



Indexing History & Series Development

The conference's proceedings is now a part of the under development series titled:

"Advancements in Systems Research for Sustainable Development and Interdisciplinary Innovations".

SCOPUS and EI Indexed titles of this series

1. Emerging Trends and Innovations in Industries of the Developing World: A Multidisciplinary Approach

2. Advancing Sustainable Science and Technology for a Resilient Future




Manuscript Preparation Guideline/Tutorial


Manuscript Template


Submission Link



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