George Onyango Okeyo

Multimodal deep learning for chronic obstructive pulmonary disease: a conceptual synthesis of architectures, fusion strategies, and equity-centered translational frameworks

Ambrose Njeru, Ismail Ateya, George Onyango Okeyo, Jacqueline Wanjiku Kagima

Framework for context-aware collaborative filtering recommender system for health

Mohamed Hussein Abdi, George Onyango Okeyo, Ronald Waweru Mwangi

The Internet has become a vital resource for health-related information, advice, and support, with more people turning to websites, social media, and online groups for guidance on various health topics ranging from healthy living to disease diagnosis and treatment. The rise of …

Kenya, Rwanda, us (code pays fourni par la source)

BPS2026 – Profiling pharmacology of GPCRs by time-resolved impedance measurements

Joachim Wegener, Martin Ziller, Ulrich Thomas, Ronald J. Knox et autres

de (code pays fourni par la source)

OCT2 in the heart and GAT1 in the brain: Functional characterization and drug development using SSM-based electrophysiology

Rocco Zerlotti, Andre Bazzone, Elena Dragicevic, Maria Barthmes et autres

de (code pays fourni par la source)

Data stream mining techniques for real-time monitoring and control of smart power grids in Kenya: challenges and opportunities

Cornelius Mutuku Mulevu, George Onyango Okeyo, Joseph Muliaro Wafula

Abstract Kenya’s increasingly evolving power grid requires advanced data stream mining techniques for more effective real-time monitoring and control. This paper examines how these techniques are currently being used in Kenya’s smart power networks, highlighting both their advantages and disadvantages. Although the …

Kenya, Rwanda (code pays fourni par la source)

Adversarial Content–Noise Complementary Learning Model for Image Denoising and Tumor Detection in Low-Quality Medical Images

Teresa Abuya, Richard Maina Rimiru, George Onyango Okeyo

Medical imaging is crucial for disease diagnosis, but noise in CT and MRI scans can obscure critical details, making accurate diagnosis challenging. Traditional denoising methods and deep learning techniques often produce overly smooth images that lack vital diagnostic information. GAN-based approaches also …

Kenya, Rwanda, us (code pays fourni par la source)

Improved Collaborative Filtering Recommender System Based on Hybrid Similarity Measures

Mohamed Abdi, George Onyango Okeyo, Ronald Waweru Mwangi

Recommender Systems (RS) based on collaborative filtering has been successfully applied to provide relevant and personalized recommendations from an enormous amount of data in various domains. To achieve this, similarity measurements, such as the Pearson Correlation Coefficient (PCC), Cosine, and Jaccard, are …

Kenya, Rwanda (code pays fourni par la source)

AI-Driven Precision Farming: A Holistic Approach to Enhance Food and Nutrition Security in Africa

Diane TuYizere, Valodia Uwase, Moise Niyonkuru, Gentil Ndanyunzwe et autres

The agricultural sector in Africa contributes significantly to the continent's GDP and plays a pivotal role in sustaining the livelihoods of its citizens. Although this is the case, it always faces one major challenge namely the use of traditional farming methods which …

Rwanda (code pays fourni par la source)

TMEM175: Apparent drug potencies are different in lysosomes and plasma membrane—comparative study employing a novel screening technology

Andre Bazzone, George Onyango Okeyo, Rocco Zerlotti, Nina Brinkwirth et autres

de (code pays fourni par la source)

An Image Denoising Technique Using Wavelet-Anisotropic Gaussian Filter-Based Denoising Convolutional Neural Network for CT Images

Teresa Kwamboka Abuya, Richard Maina Rimiru, George Onyango Okeyo

Denoising computed tomography (CT) medical images is crucial in preserving information and restoring images contaminated with noise. Standard filters have extensively been used for noise removal and fine details’ preservation. During the transmission of medical images, noise degrades the visibility of anatomical …

Kenya, Rwanda (code pays fourni par la source)

Detecting Phishing Attacks Using Feature Importance-Based Machine Learning Approach

George Onyango Okeyo

Phishing is a fraudulent technique that involves creating a malicious website or link to trick people into revealing sensitive information such as passwords, financial details, or personal information. It is a common form of cybercrime that can lead to identity theft and …

Rwanda (code pays fourni par la source)

Cover feature: guest editors’ introduction title: internet of things for everyday living: ubiquitous intelligence at Scale

George Onyango Okeyo, Liming Chen, Chengsheng Pan, Lingmei Wang

Rwanda, us, gb, cn (code pays fourni par la source)