Note: The original article is present on authors research profile here, “ https://www.researchgate.net/publication/368337127_Professional_and_Personal_Robotic_Twin “ In the era when AI techniques are evolving and changing very fast, here in this paper is proposed a professional robotic twin. Every person can have one or more robotic twins as per his needs. The one at the office canContinue reading “Professional and Personal Robotic Twin”
Category Archives: data science
Doctor with a Robot by his side! The Future.
Note: At present the software and algorithms cannot help doctors much unless confirmed by doctors themself, such as in some surgeries where doctors nod that they can help. Otherwise will just confuse the doctors and patients. This is a future mission and the way mankind should work on. Please do not rely on AI asContinue reading “Doctor with a Robot by his side! The Future.”
Information Retrieval with tf-idf #climate_data
Here in this short article, we analyze Information Retrieval of documents using tf-idf technique. Though this technique is not that popular, but it for sure in parts is backbone of many algorithms. Now, with deep learning this technique has been sidelined, but, none the less, it is the key session of Information Retrieval research. TheContinue reading “Information Retrieval with tf-idf #climate_data”
Predicting Preferred Working Hours with RNN GRU
In this article, we propose to predict the preferred working hours by individuals based on the present inputs provided. Why this is required? As the work is preset and work goals are made based on resource predictions. Employees are resources of an organization and if we accumulate current phenomena with time we can predict wellContinue reading “Predicting Preferred Working Hours with RNN GRU”
Fuzzy Rough Set based Evaluations of Summaries
Note: This same article appears in my median.com account as well #AI-EXERCISE #RESEARCH-Excercise This short article lays emphasis on how to evaluate summaries produced from Text Summarization. The toolkit used here is Fuzzy Rough sets. The reference summary and the system summary are evaluated and compared for similarity using Fuzzy Rough Set based lower similarityContinue reading “Fuzzy Rough Set based Evaluations of Summaries”
Quick Soft Reduct – Feature Selection with Soft Rough Sets
Note: This same article appears in my median.com account as well and possibly on researchgate.com as well #Research_Excercise #ReseachProject #AI-Excercise This article provides the algorithm for feature selection using Soft Rough Sets called Soft Quick Reduct. These techniques are based on Soft Rough Sets, a new technique to study the relationship in smaller datasets. TheContinue reading “Quick Soft Reduct – Feature Selection with Soft Rough Sets”
Redefining Natural Language Processing Evaluation Techniques
Nidhika Yadav Note: This same article appears in my median.com account as well and possibly on researchgate.com as well Abstract- There is a profound need to build robust evaluation techniques for NLP tasks. The current evaluation techniques are quite old while the algorithm they evaluate are the latest state of art methods. Hence, there isContinue reading “Redefining Natural Language Processing Evaluation Techniques”
AI & IOT for Biodiversity Preservations and Sustainability
Note: This same article appears in my median.com account as well Biodiversity is one big term for ecosystems, the diverse species, and their genetic variations of kinds known and unknown. This article explains AI-based techniques which can save biodiversity loss and sustain biodiverse ecosystems and environments. We can primarily classify ecosystems of three kinds thatContinue reading “AI & IOT for Biodiversity Preservations and Sustainability”
Scaling and Descaling Data in Data Science Problems
Note: This same article appears in my median.com account as well In data science problems it is often required to scale data so that the algorithms fit well with the learning goals. How to scale efficiently? There are ways in which we can scale data manually or using some libraries. In this article, I provideContinue reading “Scaling and Descaling Data in Data Science Problems”
Soft Rough Sets based Summarization Models — Part 2 (Approximate Learning)
Note: This same article appears in my median.com account as well In the last article we discussed, on how Soft Sets, a tool for uncertainity handling can be used for summarization of text data. We emphasized the role of WordCloud in this as well. In previous article, Soft set was defined as: Definition 1: [Molodtsov 1999]Continue reading “Soft Rough Sets based Summarization Models — Part 2 (Approximate Learning)”