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Comparative study and analysis on skin cancer detection using machine learning and deep learning algorithms
Exposure to UV rays due to global warming can lead to sunburn and skin damage, ultimately resulting in skin cancer. Early prediction of this type of...
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From MNIST to ImageNet and back: benchmarking continual curriculum learning
Continual learning (CL) is one of the most promising trends in recent machine learning research. Its goal is to go beyond classical assumptions in...
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Living Safety Testbed Group
Safety technology for everyday activities is strongly needed for children, the elderly, and persons with disabilities. However, it is difficult to...
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Nine Challenges for Immersive Entertainment
Immersive entertainment is an important driver of mixed reality platforms. As technology becomes better and cheaper, this will spark the next major...
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Online Spam Review Detection: A Survey of Literature
The increasingly developed online platform generates a large amount of online reviews every moment, e.g., Yelp and Amazon. Consumers gradually...
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Review of the characteristics of mobile robots for health care application
Mobile robotics has become a well-known research area in healthcare applications; as it defines itself from general robotics, it can move in the...
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Best path in mountain environment based on parallel A* algorithm and Apache Spark
Pathfinding problem has several applications in our life and widely used in virtual environments. It has different goals such as shortest path,...
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Artificial Intelligence (AI) and Machine Learning (ML) for Healthcare and Health Sciences: The Need for Best Practices Enabling Trust in AI and ML
In the opening chapter we first introduce essential concepts about Artificial Intelligence and Machine Learning (AI/ML) in Health Care and the Health...
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Deep Learning: Principles and Training Algorithms
The great power of deep learning models comes with computational challenges. One key point is that the backpropagation algorithm is rather unstable...
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A comprehensive bibliometric and content analysis of artificial intelligence in language learning: tracing between the years 2017 and 2023
The rising pervasiveness of Artificial Intelligence (AI) has led applied linguists to combine it with language teaching and learning processes. In...
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Detection of Phoradendron Velutinum Implementing Genetic Programming in Multispectral Aerial Images in Mexico City
This research implements Genetic Programming to design a spectral index that allows the automated detection of the species Phoradendron Velutinum...
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Decision-Making and Learning in an Unknown Environment
This chapter describes how the agent can explore an unknown environmental system in which it has been placed. In doing so, he discovers states with...
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Overview of Formal Methods
Chapter 16 discusses formal methods, which consist of a set of mathematical techniques to rigorously specify the requirements of a software system,...
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Image captioning for cultural artworks: a case study on ceramics
When viewing ancient artworks, people try to build connections with them to ‘read’ the correct messages from the past. A proper descriptive caption...
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Recurrent Neural Networks
All the neural architectures discussed in earlier chapters are inherently designed for multidimensional data in which there is no inherent ordering...
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Video event detection, classification and retrieval using ensemble feature selection
In recent times, video analysis gains more popularity among the researchers, due to its social impact and widespread applications. In this research...
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Reinforcement Learning
Learning in humans is a continuous experience-driven process inReinforcement Learning which decisions are made, and the reward/punishment received...
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Information Processing Using Soft Body Dynamics
In this chapter, we address how the introduction of softness into robots will enable unprecedented information-processing functionalities. In...
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An Advanced Q-Learning Model for Multi-agent Negotiation in Real-Time Bidding
This work develops a reinforcement learning method for multi-agent negotiation. While existing works have developed various learning methods for...
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Studying the characteristics of SQL-related development tasks: An empirical study
A key function of a software system is its ability to facilitate the manipulation of data, which is often implemented using a flavour of the...
