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 ...

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 ...

In the ever-evolving field of computer science, the ability to compare algorithms is not just a skill but a necessity. Algorithms are the backbone of any computational process, dictating how data is ...

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, ...

Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of computations. Matrix multiplication is one ...

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 ...

Algorithms are pre-defined, self-contained sets of instructions designed to execute diverse functions, and they have been around for longer than you might expect. From ancient Babylon to the present ...

Objective: Machine learning classification has been the most important computational development in the last years to satisfy the primary need of clinicians for automatic early diagnosis and prognosis ...