Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...

Abstract: Adaptation and learning over low-cost wireless networks, meanwhile keeping an acceptable performance, are well motivated. This paper focuses on online parameter estimation over binary ...

Department of Engineering Technology, Savannah State University, Savannah, GA, USA. Our analysis reveals that most claimed applications of Grover’s algorithm fall into one of several categories: Those ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Antimicrobial peptides (AMPs) have emerged as a promising alternative to conventional ...

Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images creates significant challenges in clinical research. The improper classification of these images leads ...

Binary Search is one of the most fundamental and efficient algorithms every programmer should master. It elegantly reduces a problem size by half in each step, making it a classic example of the ...

Georgia Tech's online master's in computer science has taken off like a rocket ship. It is the most successful degree program in the history of higher education and we should all take important ...

This repository contains my solutions and notes for the NPTEL Programming, Data Structures And Algorithms Using Python course. The course covers fundamental, intermediate programming, data structures, ...

The dwarf mongoose optimization (DMO) algorithm developed in 2022 was applied to solve continuous mechanical engineering design problems with a considerable balance of the exploration and exploitation ...

Bayesian Decision Trees provide a probabilistic framework that reduces the instability of Decision Trees while maintaining their explainability. While Markov Chain Monte Carlo methods are typically ...