28 Aug 2026Open access
Machine learning models for whole genome based prediction of drug resistance in Mycobacterium tuberculosis: a systematic reviewPublisher siteBMC Infectious Diseases, Tuberculosis Research and Epidemiology
Active, last published 2026
In indoor and outdoor localization technologies
Assefa Tesfay
Abraha
Scholar“Research focused on Indoor and Outdoor Localization Technologies and adjacent fields.”
Mekelle University
Ethiopia
Claim Your ProfileEthiopia4
H-index
31
Citations
Assefa has not officially claimed their profile. If you are Assefa, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
ssefa Tesfay Abraha is a researcher working on Indoor and Outdoor Localization Technologies. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Assefa's work has been cited 31 times across 1 active year. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Indoor and Outdoor Localization Technologies×7Speech and Audio Processing×4Agricultural Innovations and Practices×2Context-Aware Activity Recognition Systems×2ICT Impact and Policies×2
04 · Where I am
Affiliations
Affiliation on published researchMekelle University, EthiopiaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
2 works11 Apr 2026
Stacking ensemble-based predictive framework for human activity and postural transition recognition using wearable sensorsPublisher siteEngineering Applications of Artificial Intelligence, Context-Aware Activity Recognition Systems
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Assefa?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you