Search Results

• An image-based automatic tower crane layout planning approach is proposed.
• A highly scalable crane layout prediction network, CraneGAN, is developed.
• The results of CraneGAN in transportation time outperformed GA in 66.67% of ...

With the spring up of high-rise building projects, tower crane layout planning (TCLP) is increasingly crucial to avoid construction costs, safety issues, and productivity deficiencies. Current optimization approaches require manual data ...

In die casting, gas defects occur if the molten metal entrains the gas inside the shot sleeve and mold and remains inside the product after filling. Therefore, an exhaust system such as an exhaust runner or overflow is generally ...

• In die casting, overflow system performance significantly affects product quality.

Physics-Informed Neural Networks (PINNs) are artificial neural networks that encode Partial Differential Equations (PDEs) as an integral component of the ML model. PINNs are successfully used nowadays to solve PDEs, fractional ...

• PINN/GA evolutionary strategy for optimizing architecture and hyperparameters.
• ...

Text classification is one of the Natural Language Processing (NLP) tasks. Its objective is to label textual elements, such as phrases, queries, paragraphs, and documents. In NLP, several approaches have achieved promising results ...

• Application of a grammar-based evolutionary approach to the design of DNNs.
• ...

Injection moulding is a manufacturing process widely used in industry. A major step in this technique is the design of efficient cooling channels for the molten material. In this paper we develop a mathematical model for the automatic ...

• Mathematical model for the automatic design of cooling channels
• Covers a wide ...

Deep Learning has been very successful in automating the feature engineering process, widely applied for various tasks, such as speech recognition, classification, segmentation of images, time-series forecasting, among others. Deep neural networks ...

Rendering programs have changed the design process completely as they permit to see how the products will look before they are fabricated. However, the rendering process is complicated and takes a significant amount of time, not only in the ...

As one of the most widely studied membrane systems, a spiking neural P system consists of three fundamental elements: initial spikes, evolution rules and connection between neurons. The automatic design of an arithmetic operation spiking neural P ...

Quantum computing is a field of study aimed at developing technologies based on the principles of quantum theory. In this research area, enormous theoretical progress has been made, but at the current state, few quantum algorithms have been ...

In this work, we develop a set of behavioral and conditional modules for the use with behavior trees. We present AutoMoDe-Cedrata, an automatic modular design method that automatically assembles and fine-tunes these modules into behavior trees ...

Skeleton designs are widely seen in the robotics industry and multimedia applications such as animated films and computer games. The design of skeletons is mental-labor intensive, especially axes directions of joints are difficult even for the ...

Automatic design of P systems is an attractive research topic in the community of membrane computing. Differing from the previous work that used evolutionary algorithms to fulfill the task, this paper presents the design of a (deterministic transition) ...

Structures of neural networks are usually designed by experts to fit target problems. This study proposes a method to automate small network design for a regression problem based on the Add-if-Silent AiS function used in the neocognitron. Because the ...

This work in progress paper presents the foundation for an Automatic Designer of large software systems-of-systems. The core formalism for the Automatic Designer is UML. The Automatic Designer extends UML with a fitness function, which uses analysis of ...

This paper is devoted to the problem of automatically designing feasible and manufacturable robots made up of heterogeneous modules. Specifically, the coevolution of morphology and control in robots is analyzed and a particular strategy to address this ...

In this paper, a novel method based on graph encoding scheme and clone selection algorithm is proposed for synthesizing passive analog filters. Graph is the most natural and convenient data structure to represent analog electronic circuit. The proposed ...

In this paper, the main interest is the fusion and the control of data that is obtained from a set of sensors. This task requires the use of a both effective and versatile computational model. The chosen architecture is the already known for its ...

Due to its potential to greatly accelerate a wide variety of applications, reconfigurable computing has become a subject of a great deal of research. Its key feature is the ability to perform computations in hardware to increase performance, while ...

A problem of interest in digital video edition is the elimination of moving objects from one video and the introduction of pieces of other videos in their places. A fundamental problem to build computational tools for this purpose is the segmentation of ...

This paper describes an approach to the problem of articulating multimedia information based on parsing and syntax-directed translation that uses Relational Grammars. This translation is followed by a constraint-solving mechanism to create the ...