Exploring the Inventions and Excellence in Artificial Intelligence and Machine Learning
The Artificial Intelligence is intended to present within a single forum all of the developments in the field of multi-sensor, multi-source, multi-process information fusion and thereby promote the synergism among the many disciplines that are contributing to its growth. Abstracts are invited on the various topics like Data/Image, Feature, Decision, and Multilevel Fusion, Multi-classifier/Decision Systems, Multi-Look Temporal Fusion, Multi-Sensor, Multi-Source Fusion System Architectures Distributed and Wireless Sensor Networks.
Artificial Intelligence covers information processing in natural and artificial neural systems. The conference presents a fresh, unidiomatic attitude towards this multi-disciplinary field, aiming to be a forum for novel ideas and improved understanding of collective and cooperative phenomena in systems with computational capabilities. Abstracts are invited on the broad subject which involves physics, biology, psychology, computer science and engineering.
Artificial Intelligence would be discussing on the various topics like nature-inspired algorithms, population-based methods, and optimization where selection and variation are integral, and hybrid systems where these paradigms are combined.
Machine learning and computing
Artificial Intelligence aims to promote the integration of machine learning and computing. The focus of the conference would be on state-of-the-art machine learning and computing.
Machines and Minds
The AI would invite abstracts related to the Machines and Mentality. Discussions would be on the Knowledge and Its Representation, Epistemic Aspects of Computer Programming, Connectionist Conceptions, Artificial Intelligence and Epistemology, Computer Methodology, Computational Approaches to Philosophical Issues, Philosophy of Computer Science, Simulation and Modelling and Ethical Aspects of Artificial Intelligence.
Computer vision and perception
AI discusses the trends followed and the progress made, in addition to identifying the major challenges that still ahead. Abstracts are invited on the topics rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods.
Virtual intelligence is that the term given to AI that exists within a virtual world. Many virtual worlds have choices for persistent avatars that give information, training, role taking part in, and social interactions. The immersion of virtual worlds provides a unique platform for VI beyond the normal paradigm of past user interfaces (UIs). What Alan Turing established as the benchmark for telling the distinction between human and computerised intelligence was done void of visual influences. With today's VI bots, virtual intelligence has evolved past the constraints of past testing into a brand new level of the machine's ability to demonstrate intelligence. The immersive features of those environments offer non-verbal components that have an effect on the realism provided by virtually intelligent agents.
Artificial Neural Networks
The Artificial Neural Network (ANN), or simply neural network, is a machine learning method evolved from the idea of simulating the human brain. The data explosion in trendy drug discovery analysis needs sophisticated analysis strategies to uncover the hidden causal relationships between single or multiple responses and a large set of properties. The ANN is one of many versatile tools to meet the demand in drug discovery modelling. Compared to a traditional regression approach, the ANN is capable of modelling complex nonlinear relationships. The ANN also has glorious fault tolerance and is quick and extremely scalable with parallel processing.
Robotic Process Automation (RPA)
RPA is an Independent Intellectual Property. As the first professional vendor of RPA products in China, RPA aims to solve the problem of business process automation for enterprises, greatly reducing the number of people engaged in standard, repetitive, cumbersome and high-volume work tasks. It is the purest form of automation. With its lightweight, efficient and fast performance, RPA has stepped out of the "machine-making" stage and stepped into a new field of "replacement for people to do things."
The journal invites different types of articles including original research article, review articles, short note communications, case reports, Editorials, letters to the Editors and expert opinions & commentaries from different regions for publication.
A standard editorial manager system is utilized for manuscript submission, review, editorial processing and tracking which can be securely accessed by the authors, reviewers and editors for monitoring and tracking the article processing. Manuscripts can be uploaded online at Editorial Tracking System (https://www.longdom.org/editorial-tracking/publisher.php) or forwarded to the Editorial Office at https://www.longdom.org/eye-diseases-and-disorders.html
The Journals includes around 150Abstracts and 100 Keynote speakers have given their valuable words. The meet has provided a great scope for interaction of professionals including in addition to clinical experts and top-level pathologists and scientists from around the globe, on a single platform.
International journal of swarm intelligence and evolutionary computation