Terror Threats Detection using Fuzzy Logic: An Example of Framework

Here is article I wrote on Terror message detection using AI algorithms. DOI: 10.13140/RG.2.2.10272.35844 Link: (PDF) Terror Threats Detection using Fuzzy Logic: An Example of Framework (researchgate.net) Abstract- As terrorism grows so does the incidence of attacks by terror groups. How to detect terror messages on time is a critical issue and scientists need to address thisContinue reading “Terror Threats Detection using Fuzzy Logic: An Example of Framework”

Terrorism detection using Artificial Intelligence #hamas_violence #israel.

Note: The original article is on authors website and on her medium account as well. Here are some questions that came out from current war between Hamas and Israel! How to detect terror attacks? How to find terrorists and their hiding places? How to take militants out so that the loss of common people’s lifeContinue reading “Terrorism detection using Artificial Intelligence #hamas_violence #israel.”

Generic Language Graph-Based Query Expansion (IR)

A generalized algorithm based on the algorithm in [1] made especially for Hindi Query Expansion and Hindi Information Retrieval (IR) is as follows. Note: The modified algorithm below has not been published as of now. This can be modified and implemented in your works, based on the language you are working with. This has not beenContinue reading “Generic Language Graph-Based Query Expansion (IR)”

Telemedicine and AI

#ai #ml #artificialintelligence Telemedicine name started to be used in the 1970s [1]. It refers to treatments and medical directions being provided from a distance. These include the use of ICT, medical images, and medical data sharing with secure communications. Use of radiology from a distance, oncological services, gynae, respiratory illness treatment, and consultations allContinue reading “Telemedicine and AI”

Responsibility of AI Systems

#AI #Artificial_Intelligence #Ethics How do AI systems perform? Who measures the correctness of AI systems? In case of some problem, who is responsible for the cause? Who is to blame in the case of a mishappening? What if AI systems do not perform as they should have been? These are the questions that govern theContinue reading “Responsibility of AI Systems”

Trust in AI Products

AI products become popular on the basis of the trust of people in these systems. People and professionals use AI systems to ease their lives, while they can rely on these systems to organize work and business. AI systems can be used for profession, news, and entertainment, while some rely on AI tools to provideContinue reading “Trust in AI Products”

AI Ethics. Chapter Summary

Note: This article is present in its copy on author’s medium.com account as well. #ai #artificialintelligence #robotics #machinelearning This is a summary of a chapter from the latest book on AI Ethics, by C. Bartneck et al. (2021) and has been self-written. Ethics define the moral set of rules that define a person’s decisions. WhatContinue reading “AI Ethics. Chapter Summary”

Chapter 2 Review. What is AI? Book Chapter Bartneck et al.

Note: This article is present in its copy on author’s medium.com account as well. #ai #artificialintelligence #robotics #machinelearning This is a review of Chapter 2 of their book, Bartneck et al., on Ethics in AI and Robotics. Key points in the chapter are as follows: — AI definitions (Bartneck et al): It involves the study,Continue reading “Chapter 2 Review. What is AI? Book Chapter Bartneck et al.”

Feature Selection Using Genetic Algorithm

#AI #artificialintelligence #ml #machinelearning Note: This article is present on authors medium.com account as well. In the past few articles, you might have got an idea of what feature selection is. In short, it is used to improve accuracy, decrease noise and at the same time decrease computational complexity by reducing irrelevant features from bigContinue reading “Feature Selection Using Genetic Algorithm”

Feature Selection — Part II

In the last article on Feature Selection, we discussed what feature selection is all about. Let’s briefly discuss what some key feature selection algorithms are: Here the features are independently categorized as important or not important without the use of any other classifier. Examples of such methods are, information gain, correlation coefficient, mean absolute difference.Continue reading “Feature Selection — Part II”