Addis Ababa Science and Technology University

Epileptic seizure onset early warning using a lightweight multimodal self-explainable neural network

BackgroundCutting-edge deep learning algorithms are applied to epileptic seizures to uncover hidden patterns and achieve high accuracy. Post hoc algorithms explain black-box models but do not reveal the detailed workings of the algorithms. Therefore, intrinsic methods overcome th...

Navigating Educational Policy Reforms in Ethiopia: A Mixed Methods Analysis of Implementation Challenges

This mixed-methods study examines the implementation challenges of Ethiopia's recent educational policy reforms (2021–2026), addressing the persistent gap between ambitious policy objectives and on-the-ground execution. Framed by scholarship on educational policy implementation a...

Navigating Educational Policy Reforms in Ethiopia: A Mixed Methods Analysis of Implementation Challenges

This mixed-methods study examines the implementation challenges of Ethiopia's recent educational policy reforms (2021–2026), addressing the persistent gap between ambitious policy objectives and on-the-ground execution. Framed by scholarship on educational policy implementation a...

Interpretable deep ensemble model for species-level malaria detection from thin blood smears

Malaria remains a major global health concern, particularly in sub-Saharan Africa, where accurate species-level identification is essential for guiding targeted treatment and elimination strategies. This study introduces a deep learning ensemble model that employs a soft-voting m...

A novel hybrid multilayer hyper chaotic and nonlinear modular encryption algorithm for enhancing the security of multimedia information in IoT video codecs H.264 and H.265

Several multimedia encryption algorithms suffer from security and performance limitations, including low resistance to cyberattacks, high computational overhead, potential quality degradation, and codec format incompatibility. To address these challenges, we proposed an encryptio...

Heavy metal levels in crop and livestock product in Ethiopia: a review

Heavy metal contamination in food is a growing public health concern due to its potential for chronic toxicity. In Ethiopia, several studies have reported elevated levels of heavy metals in cereals, vegetables, fruits, milk, and fish across different regions, particularly in indu...

Recombinant antigens derived from Rickettsia prowazekii GltA: from in silico design to preliminary serological evaluation

Epidemic typhus, caused by Rickettsia prowazekii , remains a re-emerging public health concern in resource-limited and conflict-affected regions, underscoring the need for improved diagnostic tools. Although the citrate synthase (GltA) gene is widely used as a molecular diagnosti...

Optimization of paper mill sludge ash in sustainable concrete mixes for enhanced strength and durability performance

This research studies the feasibility of paper mill sludge ash (PMSA) as a sustainable alternative to conventional cementitious materials to alleviate the environmental and economic issues due to the production of regular cement. The study was done with M30 concrete with water to...

Enhanced photocatalytic removal of 2,4-dichlorophenoxyacetic acid in soil using biochar and graphitic carbon nitride nanocomposites optimized by central composite design

This study optimized the remediation of 2,4-dichlorophenoxyacetic acid (2,4-D) in soil using a Rumex abyssinicus biochar/g-C 3 N 4 nanocomposite under visible-light irradiation (400–700 nm) via a central composite design. The hybrid catalyst was synthesized by ball-milling biocha...

Impact of design quality metrics and core design process elements on the sustainable performance of construction projects: a structural equation modeling approach

The Design Quality Matrix (DQM) plays a vital role in achieving sustainable construction project outcomes, yet its influence on project performance is not fully understood. This study investigates the relationship between DQM and Sustainable Project Performance (SPP), focusing on...

A comparative assessment of online GNSS processing services for geodetic control: insights from the ethiopian network

Abstract This study compares four online GNSS processing services AUSPOS, TrimbleRTX, OPUS, and CSRS-PPP using 72-h static GNSS data from 12 geodetic control stations in Ethiopia. Observations collected with a Leica GS10 receiver were processed by each service and evaluated again...

Modeling of land use land cover change dynamics using google earth engine and machine learning techniques in the Abaya-Chamo sub-basin, Ethiopia

Abstract Modelling land use and land cover change analysis is employed to categorize historical and predicted spatial-temporal land cover dynamics at regional and local scales. This research examined historical and projected future land use and land cover (LULC) dynamics utilizin...

Comparative analysis of African cattle, sheep and goat genomes reveal convergence and divergence to contrasting environments

African livestock have co-existed and co-adapted to Africa’s diverse eco-climates which have likely impacted their genomes. Such impacts however remain poorly investigated across multiple livestock species. Using whole genome sequences of African cattle, sheep, and goats in Ethio...

A review of machine learning, deep learning and large language model based harmonized system code classification techniques for import and export commodities

The Harmonized System (HS) code is a systematically created, structured, multi-purpose nomenclature used to classify import and export commodities for the purposes of facilitating trade transactions, ensuring confidentiality, maintaining statistics, and transporting goods. In thi...

Development and Characterization of Functionally Graded Sisal/Glass Fiber-Reinforced Polymer Composites

Structural applications require materials that provide an optimal balance of strength, durability, and sustainability. This study develops functionally graded sisal/glass fiber-reinforced polymer composites and evaluates their tensile, compressive, and flexural properties, as wel...