AIMC Topic: Heuristics

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Path planning and collision avoidance methods for distributed multi-robot systems in complex dynamic environments.

Mathematical biosciences and engineering : MBE
Multi-robot systems are experiencing increasing popularity in joint rescue, intelligent transportation, and other fields. However, path planning and navigation obstacle avoidance among multiple robots, as well as dynamic environments, raise significa...

Artificial intelligence-informed planning for the rapid response of hazard-impacted road networks.

Scientific reports
Post-hazard rapid response has emerged as a promising pathway towards resilient critical infrastructure systems (CISs). Nevertheless, it is challenging to scheme the optimal plan for those rapid responses, given the enormous search space and the hard...

Wild Geese Migration Optimization Algorithm: A New Meta-Heuristic Algorithm for Solving Inverse Kinematics of Robot.

Computational intelligence and neuroscience
This paper proposes a new meta-heuristic algorithm, named wild geese migration optimization (GMO) algorithm. It is inspired by the social behavior of wild geese swarming in nature. They maintain a special formation for long-distance migration in smal...

Artificial Intelligence System Detection in English Teaching Based on Heuristic Genetic Algorithm.

Computational intelligence and neuroscience
Using the traditional English teaching mode is difficult to help correct students, and it is difficult to achieve human-computer interaction in oral English communication. In order to improve the effect of English detection and improve teaching effic...

Computational Scientific Discovery in Psychology.

Perspectives on psychological science : a journal of the Association for Psychological Science
Scientific discovery is a driving force for progress involving creative problem-solving processes to further our understanding of the world. The process of scientific discovery has historically been intensive and time-consuming; however, advances in ...

Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition.

Biosensors
Many studies have explored divergent deep neural networks in human activity recognition (HAR) using a single accelerometer sensor. Multiple types of deep neural networks, such as convolutional neural networks (CNN), long short-term memory (LSTM), or ...

Convolutional Neural Networks and Heuristic Methods for Crowd Counting: A Systematic Review.

Sensors (Basel, Switzerland)
The crowd counting task has become a pillar for crowd control as it provides information concerning the number of people in a scene. It is helpful in many scenarios such as video surveillance, public safety, and future event planning. To solve such t...

Heuristic Attention Representation Learning for Self-Supervised Pretraining.

Sensors (Basel, Switzerland)
Recently, self-supervised learning methods have been shown to be very powerful and efficient for yielding robust representation learning by maximizing the similarity across different augmented views in embedding vector space. However, the main challe...

Something's Fishy About It: How Opinion Congeniality and Explainability Affect Motivated Attribution to Artificial Intelligence Versus Human Comment Moderators.

Cyberpsychology, behavior and social networking
An online experiment ( = 384) examined when and how the identity of the comment moderator (artificial intelligence [AI] vs. human) on a news website affects the extent to which individuals (a) suspect political motives for comment removal and (b) bel...

Improving work detection by segmentation heuristics pre-training on factory operations video.

PloS one
The measurement of work time for individual tasks by using video has made a significant contribution to a framework for productivity improvement such as value stream mapping (VSM). In the past, the work time has been often measured manually, but this...