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Vehicle Detection and Speed Estimation Implemented through Euclidean Algorithm
Over-speeding is one of the problems that contribute to the causes of road accidents which leads to traffic. As many automated systems are currently emerging to detect the speed of the vehicles to prevent accidents, the growing number of vehicles puts ...
Application of Agents to the Recognition of Mathematical Expressions from Noisy Images
Research in image and pattern recognition has been going on for a long time. State of art solutions have been presented, and this has only got better with the introduction of convolutional neural networks. These networks have proven to work well, ...
WikiFish: Mobile App for Fish Species Recognition Using Deep Convolutional Neural Networks
Consumers of the fish market around the world face problems in the identification of fish species and people need to obtain expert assistance to do so. This situation is typically the same in Gaza Strip, the local fish market lacks such an application ...
Proposed Face Recognition System Based on Immune Inspired Anomaly Detection Using Symbiotic Agents
This paper proposes the design of a face recognition system based on immune inspired anomaly detection using intelligent agents with symbiotic relationships. Based on the reviewed literature, the advantages of the aforementioned technologies will ...
DeCloud GAN: An Advanced Generative Adversarial Network for Removing Cloud Cover in Optical Remote Sensing Imagery
Optical Remote Sensing imagery has several applications in monitoring the states of natural and man-made features around the globe. However, due to clouds and other climatic conditions, information extracted from the imagery retrieved is very limited. ...
Developing an Adaptive AI Agent using Supervised and Reinforcement Learning with Monte Carlo Tree Search in FightingICE
Reinforcement Learning (RL) and Monte Carlo Tree Search (MCTS) are efficient algorithms for video game artificial intelligence (AI) agents, while Supervised Learning (SL) would make a video game AI agent visual-based. Combining SL and RL with MCTS has ...
Detecting Gravitational Waves using Constant-Q Transform and Convolutional Neural Networks
The discovery of gravitational waves from the mergers of binary black holes has opened doors to an unprecedented revolution in the fields of physics and astronomy. However, the signals of gravitational waves with tiny magnitudes are inevitably buried in ...
Development of Informed Rapidly-Exploring Random Tree Focused on Memory Efficient Path Planning
Based on Rapidly-exploring random trees (RRTs) algorithms, this work demonstrates a new algorithm, iRRT* FN. The algorithm is a modified version of Informed RRT*, using a memory-efficient planning approach. It runs identically as Informed RRT* before ...
The five Is: Key principles for interpretable and safe conversational AI
In this position paper, we present five key principles, namely interpretability, inherent capability to explain, independent data, interactive learning, and inquisitiveness, for the development of conversational AI that, unlike the currently popular ...
Crafting ASR and Conversational Models for an Agriculture Chatbot
In recent years, artificial intelligence chatbots have attracted more and more attention. The stability and accuracy of automatic speech recognition (ASR) have been improved, making voice more critical in the transaction process and voice consultation ...
A Meta-Method for Portfolio Management Using Machine Learning for Adaptive Strategy Selection
This work proposes a novel portfolio management technique, the Meta Portfolio Method (MPM), inspired by the successes of meta approaches in the field of bioinformatics and elsewhere. The MPM uses XGBoost to learn how to switch between two risk-based ...
IoT based Attendance Management System (AMS) with Smartwatches' Compatibility
The technological evolution and recent advances in machine learning have transformed how ordinary tasks are performed. Due to many technological, cultural and health related changes (such as Covid 19 pandemic), the means for managing attendance has been ...
Manifold Learning Projection Quality Quantitative Evaluation
A large number dimensions may cause a variety of problems in real-world applications: some dimensions might be redundant and can worsen the quality of the workflow output, and, in the vast majority of exercises with datasets, data are distributed along ...
Dynamic weighted majority based on over-sampling for imbalanced data streams
Imbalanced data stream with concept drift mining have gained the significant popular among researchers in recent years. The complexity of data stream mining algorithm with concept drift and imbalance will be greatly increased. In this paper, dynamic ...
Index Terms
- Proceedings of the 2021 4th International Conference on Computational Intelligence and Intelligent Systems