Artificial intelligence software in applications Archives

Artificial intelligence software in applications Archives

artificial intelligence software in applications Archives

artificial intelligence software in applications Archives

Engineering Applications of Artificial Intelligence

Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results.

Focal points of the journal include, but are not limited to innovative applications of:

  • Internet–of–things and cyber-physical systems
  • Intelligent transportation systems & smart vehicles
  • Big data analytics, understanding complex networks
  • Neural networks, fuzzy systems, neuro-fuzzy systems
  • Deep learning and real world applications
  • Self-organizing, emerging or bio-inspired system
  • Global optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc.
  • Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control
  • Decision-support systems
  • Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning
  • Applications of chaos theory and fractals
  • Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics
  • Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems
  • Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis
  • Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability
  • Intelligent fault detection, fault analysis, diagnostics and monitoring
  • Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises

Engineering Applications of Artificial Intelligence publishes:

  • Survey papers/tutorials
  • Contributed papers — detailed expositions of new research or applications
  • Case studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applications
  • IFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literature

For more details on the International Federation of Automatic Control (IFAC), visit their home page at http://www.ifac-control.org

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, artificial intelligence software in applications Archives

Category: Artificial Intelligence

Mobile App Development in 2020

Android Development,IOT,iPhone,iPhone 7,iPhone Developer,iPhone Development,Mobile app development,Mobile Development

Smartphones have become a major necessity for every human belonging to any class, race, religion, nation or financial background. Which has directly impacted the mobile app development market. Initially, smartphones...

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Surge of on Demand Grocery Ordering App amid Covid19 Lockdown

Android Development,iPhone Development,Mobile app development

COVID-19 coronavirus has impacted closely each sector of the worldwide market. The retail industry is one such stream that has been seeing a high increase in demand and a lack of products. And with this current flow...

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Kotlin vs Java: Which One Is Better For Android App Development?

Android Development

Last year, Google I/O conference has declared Kotlin as an officially supported language in Android which has shook the digital world. Since then, many mobile app developers or newbies...

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Android N: Everything You Need To Know

Android Development,Mobile Development

Google has surprised everyone with the spontaneous announcement of the Android N. This early version of the next major Android software update, due to be released later in the year, gives...

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artificial intelligence software in applications Archives

Library Technology Reports (vol. 56, no. 2), “Moving Forward with Digital Disruption: What Big Data, IoT, Synthetic Biology, AI, Blockchain, and Platform Businesses Mean to Libraries,” by Bohyun Kim

Digital disruption, also known as “the fourth industrial revolution,” is blurring the lines between the physical, digital, and biological spheres. This issue of Library Technology Reports (vol. 56, no. 2), “Moving Forward with Digital Disruption: What Big Data, IoT, Synthetic Biology, AI, Blockchain, and Platform Businesses Mean to Libraries,” examines today’s leading-edge technologies and their disruptive impacts on our society through examples such as extended reality, Big Data, the Internet of Things (IoT), synthetic biology, 3-D bio-printing, artificial intelligence (AI), blockchain, and platform businesses in the sharing economy. This report explains (1) how new digital technologies are merging the physical and the biological with the digital; (2) what kind of transformations are taking place as a result in production, management, and governance; and (3) how libraries can continue to innovate with new technologies while keeping a critical distance from the rising ideology of techno-utopianism and at the same time contributing to social good.

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