Published Authors
Assessment Of Temperature Variability And Maize Crop Farming In Nyandarua County, Kenya
Agriculture, particularly food crops farming, constitutes 24% of the global gross output product. Crop farming sustains over 60% of Africa's workforce, contributes around 17% to the continent's total gross domestic product, and represents 40% of its foreign revenue. The Kenyan economy significantly relies on rain-fed agriculture, primarily through the cultivation of crops very vulnerable to climate variability. Climate unpredictability has
Corporate Governance And The Performance
Of Selected Commercial Banks Listed On The Nairobi Securities Exchange (nse)
Corporate governance has become a central concern in the banking sector due to its implications for financial stability, accountability, and firm performance. This study examines the relationship between corporate governance and the performance of selected commercial banks listed on the Nairobi Securities Exchange (NSE). Anchored on agency theory, stewardship theory, and resource dependence theory, the study evaluates whether governance mechanisms
Aggregating Species Distribution In Distorted Mangrove Communities Of Coastal Nigeria
The study assessed the effects of land use drivers on vegetation diversity, and projected the. To achieve these objectives, the study used remotely sensed image data and direct field observation. Landsat imageries of 1986, 2003 and 2022 were utilized for pre-processing of data, employing unsupervised classification. A total of 400 copies of questionnaire were used to determine the drivers of
Climate Change, Global Warming And The Consequences Of Land-use Abuse In Abuja, Nigeria
This study evaluates the spatio-temporal dynamics of Land Surface Temperature (LST), Normalized Difference Built-up Index (NDBI), Normalized Difference Water Index (NDWI), and Normalized Difference Vegetation Index (NDVI) in Abuja, Nigeria's Federal Capital Territory (FCT), for 2014, 2019, and 2024. Results show a consistent intensification of urbanization and thermal stress over the decade. Mean LST increased from 33.2C in 2014 to
From Rules To Transformers: A Review Of Spam Detection Techniques, Research Gaps And The Promise Of Bert-ensemble Frameworks
Spam has grown from a minor nuisance into one of the most persistent threats in digital communication, yet existing detection systems continue to struggle with balancing accuracy and computational efficiency. This paper reviews the evolution of spam detection approaches from early rule-based filters and traditional machine learning classifiers to deep learning models and transformer-based architectures with particular attention to the
A Review Of Deep Learning Approaches To Real-time Financial Fraud Detection, Research Gaps And The Path Forward
Financial fraud costs the global economy over $40 billion annually, yet existing detection systems continue to struggle at the intersection of accuracy, latency, interpretability, and fairness. This paper reviews the evolution of fraud detection methods from early rule-based systems and classical machine learning through recurrent and convolutional deep learning architectures, to transformer models, graph neural networks, and federated learning with
A Review On Comparative
Performance And Interfacial Mechanisms Of Crumb Rubber In Ordinary Portland Cement And Alkali-activated Slag-based Concretes
The incorporation of crumb rubber (CR) from end-of-life tires into ordinary Portland cement (OPC) and alkali-activated slag (AAS) based concretes offers a sustainable approach to enhance functional performance. CR improves elasticity, impact resistance, and thermal insulation; However, its hydrophobic nature limits interfacial bonding, reducing strength and workability. Surface treatment strategies, including chemical and thermal treatments, effectively enhance CR matrix adhesion.
