Abstract Big Data has revolutionized decision making in many fields, including education. The incorporation of information and communication technologies into education enables us to gather information about the teaching and …
Abstract Natural language is a tool and way to express the interaction between computer and human (NATURAL) language. At present, the analysis ability of text semantics is relatively mature. The …
Watch SpaceX’s Starship Launch and Explode in Crash Landing The company described the test of the next-generation spacecraft as “awesome” even though it ended in a fiery blast (SpaceX Starship). …
Abstract Severe flash flood events give very little opportunity for issuing warnings. In this paper, we approach the automated and real-time prediction of river flooding by proposing and evaluating different …
An Evolutionary MultiLayer Perceptron Algorithm for Real Time River Flood Prediction Read More »
Abstract Deep learning and convolutional neural network technologies are increasingly used in the problems of analysis, segmentation, and recognition of objects in images. In this article, a convolutional neural network …
Wildfire Segmentation on Satellite Images using Deep Learning Read More »
Abstract in this paper, we propose a deep learning approach for the segmentation of body parts in computer tomography (CT) localizer images. Such images pose dif[1]culties in the automatic image …
Abstract With renewed global interest for Artificial Intelligence (AI) methods, the past decade has seen a myriad of new programming models and tools that enable better and faster Machine Learning …
Performance Analysis of Distributed and Scalable Deep Learning(DL) Read More »
Abstract We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned via different neural network architectures …
Towards Backward-Compatible Representation Learning Read More »
Abstract In this paper, we present a hashing function for the application of face template protection, which improves the correctness of existing algorithms while maintaining the security simultaneously. The novel …
Abstract Rotating machinery fault diagnosis problems have been well-addressed when sufficient supervised data of the tested machine are available using the latest data-driven methods. However, it is still challenging to …
Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning Read More »
