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
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
Managing The Integration Of Learners With Learning Barriers In The Mainstream Rural Primary Schools
This paper seeks to explore effective strategies that could be used to manage the integration of learners with barriers to learning in rural primary schools. Pragmatism underpinned the study, and a mixed-method methodology approach was adopted to pursue the study objectives. The theory grounding this study is the Bronfenbrenner's Biological Model. Bronfenbrenner's bio-ecological model is a theory of educational psychology
Church–government Collaborative Initiatives And Their Effectiveness In Enhancing Climate Change Adaptation In Semi-arid Kenya
Climate change presents significant challenges in semi-arid regions, particularly in sub-Saharan Africa where livelihoods are highly climate-sensitive. This study examines church-government collaborative initiatives and their effectiveness in enhancing climate change adaptation in Tharaka South Sub-County, Kenya. A mixed-methods case study design was employed, integrating surveys (n = 133), interviews, focus group discussions, and document analysis. Findings indicate that collaboration between
Lifelong Learning As An Organizing Principle Of Post-industrial Education Systems: Toward A Conceptual Framework For Continuous Education
Lifelong learning has become a prominent focus in global education reform; however, it remains sufficiently theorized as a structural principle shaping education systems. Most research treats lifelong learning as an extension of adult education or workforce reskilling rather than as a core logic that reorganizes educational institutions, governance, and knowledge production. This conceptual paper redefines lifelong learning as a guiding