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A Review on Comparative Remarks, Performance Evaluation and Improvement Strategies of Quadrotor Controllers
TLDR
A thorough analysis of the current literature on the effects of multiple controllers on quadrotors, focusing on two separate approaches: controller hybridization and controller development are conducted.
Stylometry as a Reliable Method for Fallback Authentication
TLDR
This paper proposed to detect differences between writings on the same topic provided by a set of users and tested whether these differences are enough to use for an authentication system and observed that the combination of textual features can support authenticity of the user.
Detect Review Manipulation by Leveraging Reviewer Historical Stylometrics in Amazon, Yelp, Facebook and Google Reviews
TLDR
This paper provides a historical stylometry based methodology to detect review manipulations and supported that with results from Amazon, Yelp, Google, and Facebook.
“Can NLP techniques be utilized as a reliable tool for medical science?” - Building a NLP Framework to Classify Medical Reports
TLDR
An ensemble of top-performing algorithms to accomplish classification task on medical reports is created and it is concluded that an ensemble approach can provide reliable outcomes with accuracy over 92% and that the current state of the art is unequipped to provide the result with the standard needed for health sectors but an ensemble of these techniques can be a pathway for future research direction.
Understanding the Pandemic Through Mining Covid News Using Natural Language Processing
TLDR
This research introduces a collection of 1050 news report dataset on COVID-19 from two different countries and used Natural Language Processing techniques to extract knowledge about the virus, including the number of CO VID-cases, trending topics per month, sentiment analysis, etc.
Utilizing Computational Complexity to Protect Cryptocurrency Against Quantum Threats: A Review
TLDR
This research summarizes the current security measures and how the new way of solving hard problems will trigger the future protection of the existing digital currency from the future quantum threat.
Promise of AI in Defi, A Literary Analysis
TLDR
This study presents a systematic review of the utility of AI in Defi in terms of impact, reliability, and security and conducts exhaustive analysis to identify possible new research opportunities in AI.
Intrinsic Evaluation of Bangla Word Embeddings
TLDR
This paper focuses on intrinsic evaluation - the evaluation of the models on tasks, such as analogy prediction, semantic relatedness, synonym detection, antonym detection and concept categorization.
ADCR: An Adaptive TOOL to select ”Appropriate Developer for Code Review” based on Code Context
TLDR
Appropriate Developer for Code Review (ADCR) is proposed taking into account a set of data that comprises reviewers’ information—responsiveness, experience, and acquaintanceship—benefits of the proposed methods including unbiased review accountability and the early feed-back opportunity for the developers.
Recommend Speciality Doctor from Health Transcription: Ensemble Machine Learning Approach
TLDR
A recommendation system that will recommend a doctor based on the result of ensemble machine learning (ML) and natural language processing (NLP) techniques and shows promising results, which indicate that this approach can be utilized in the health care industry.
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