M
Muhammad Bilal Khan
Researcher at COMSATS Institute of Information Technology
Publications - 110
Citations - 1126
Muhammad Bilal Khan is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Computer science & Fuzzy logic. The author has an hindex of 9, co-authored 44 publications receiving 260 citations. Previous affiliations of Muhammad Bilal Khan include Xidian University.
Papers
More filters
Journal ArticleDOI
New Hermite–Hadamard-type inequalities for -convex fuzzy-interval-valued functions
TL;DR: In this article, the non-convex interval-valued functions for fuzzy-intervalvalued functions are introduced by means of fuzzy order relation, which is defined level-wise through Kulisch-Miranker order relation given on the interval space.
Journal ArticleDOI
Some New Classes of Preinvex Fuzzy-Interval-Valued Functions and Inequalities
TL;DR: With the help of these classes, some new Hermite–Hadamard inequalities (HH-inequalities) are derived by means of fuzzy order relation on fuzzy-interval space and may open new directions for fuzzy optimization problems, modeling, and interval-valued functions.
Journal ArticleDOI
New Hermite–Hadamard Inequalities in Fuzzy-Interval Fractional Calculus and Related Inequalities
TL;DR: In this paper, a fuzzy order relation is defined on the fuzzy interval space to introduce various types of inequalities, including Jensen and Schur inequalities for convex fuzzy interval-valued functions (convex fuzzy-IVF).
Journal ArticleDOI
Design of Software Defined Radios Based Platform for Activity Recognition
Muhammad Bilal Khan,Xiaodong Yang,Aifeng Ren,Mohammed Ali Mohammed Al-Hababi,Nan Zhao,Lei Guan,Dou Fan,Syed Aziz Shah +7 more
TL;DR: A software-defined radio platform was designed for the detection of human activity and can be used for multiple applications due to scalability and flexibility of the software- defined hardware.
Journal ArticleDOI
Contactless Small-Scale Movement Monitoring System Using Software Defined Radio for Early Diagnosis of COVID-19
Mubashir Rehman,Raza Ali Shah,Muhammad Bilal Khan,Najah Abu Ali,Abdullah Alhumaidi Alotaibi,Turke Althobaiti,Naeem Ramzan,Syed Aziz Shah,Xiaodong Yang,Akram Alomainy,Muhammad Imran,Qammer H. Abbasi +11 more
TL;DR: A platform is proposed for the detection of COVID-19 symptoms like irregular breathing and coughing in addition to monitoring human movements using Software Defined Radio (SDR) technology that is portable, flexible, and has multifunctional capabilities.