Abdul‐Lateef Balogun
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View article: Irreversibility analysis of the two-phase non-Newtonian nanofluid model induced by converging/diverging channels with heat source/sink and viscous dissipation effects
Irreversibility analysis of the two-phase non-Newtonian nanofluid model induced by converging/diverging channels with heat source/sink and viscous dissipation effects Open
This study investigates the heat transport mechanisms and irreversibility in Power-Law fluid dynamics through converging/diverging channels with heat source/sink and radiative effects. Entropy generation (EG) analysis is employed to identi…
View article: Correction: Data-driven landfill suitability mapping in Lagos State using GIS-based multi-criteria decision making
Correction: Data-driven landfill suitability mapping in Lagos State using GIS-based multi-criteria decision making Open
View article: Data-driven landfill suitability mapping in Lagos State using GIS-based multi-criteria decision making
Data-driven landfill suitability mapping in Lagos State using GIS-based multi-criteria decision making Open
Careful selection of landfill sites is essential because improper dumping of wastes can negatively impact health and degrade the environment. Therefore, this research presents a Geographic Information System based—Fuzzy Analytic Hierarchy …
View article: Alice Springs Orogeny (ASO) Footprints Tracing in Fresh Rocks in Arunta Region, Central Australia, Using Uranium/Lead (U-Pb) Geochronology
Alice Springs Orogeny (ASO) Footprints Tracing in Fresh Rocks in Arunta Region, Central Australia, Using Uranium/Lead (U-Pb) Geochronology Open
This study investigates the age of the surficial rocks in the Arunta region using Uranium-Lead (U-Pb) geochronological dating.Rock samples were collected at four locations, Cattle-Water Pass (CP 1610), Gough Dam (GD 1622 and GD 1610), and …
View article: Modelling flood hazards impacted by ungauged river in urbanised area using HEC-RAS and GIS
Modelling flood hazards impacted by ungauged river in urbanised area using HEC-RAS and GIS Open
Ilorin City is located downstream of Asa, Oyun and Awun River Basins. The Asa River is a major river that traverses the city and divides the metropolitan area into east and west, almost equally. The river often overflows its banks to inund…
View article: Effect of pre-treatment on drying parameter of sweet potato (Ipomea batatas) slices using cabinet dryer
Effect of pre-treatment on drying parameter of sweet potato (Ipomea batatas) slices using cabinet dryer Open
The study aims to examine the drying process of treated sweet potato slices to determine the effects of drying temperature, pre-treatment (blanching and salting), and slice thickness on drying rate and weight loss, an electrically powered …
View article: Climate change and extremes: implications on city livability and associated health risks across the globe
Climate change and extremes: implications on city livability and associated health risks across the globe Open
Purpose As global warming intensifies, climatic conditions are changing dramatically, potentially affecting specific businesses and cities’ livability. The temperature increase in cities significantly affects urban residents whose percenta…
View article: Correcting Atmospheric Effects on the InSAR Measurements using GPS Data
Correcting Atmospheric Effects on the InSAR Measurements using GPS Data Open
The effect of the atmospheric error in the spaceborne synthetic aperture radar (SAR) signal is more prominent in Malaysia due to its hot and wet conditions. Because the atmospheric error is believed to happen constantly in space and random…
View article: Is indigenous knowledge serving climate adaptation? Evidence from various African regions
Is indigenous knowledge serving climate adaptation? Evidence from various African regions Open
Summary Motivation Communities across the global south use their rich indigenous and local knowledge (ILK) to predict weather events and climate hazards. ILK may assist efforts to address climate change challenges in Africa and make subseq…
View article: Landslide’s analysis and Hazard mapping based on ANALYTIC HIERARCHY PROCESS (AHP) using GIS, in Lawas, Sabah-Sarawak
Landslide’s analysis and Hazard mapping based on ANALYTIC HIERARCHY PROCESS (AHP) using GIS, in Lawas, Sabah-Sarawak Open
This research was conducted to establish a landslides hazard map in a district called Lawas in Malaysia’s Sabah–Sarawak region using the AHP (Analytic Hierarchy Process) methods. Several landslides conditioning factors in the area were ide…
View article: Landslide Risk Analysis Using Machine Learning Principles: A Case Study of Bukit Antrabangsa Landslide Incidence
Landslide Risk Analysis Using Machine Learning Principles: A Case Study of Bukit Antrabangsa Landslide Incidence Open
A quantitative analysis of landslides was carried out in this research to ascertain the risk that will be incurred on housing development built along hillside slopes. The study uses results from the most recent landslides analysis of GIS d…
View article: Realising the Potential of Renewable Energy as a Tool for Energy Security in Small Island Developing States
Realising the Potential of Renewable Energy as a Tool for Energy Security in Small Island Developing States Open
Small Island Developing States (SIDS) are heavily dependent on the use of imported fossil fuels to address their energy needs. This has a negative impact on the environment, SIDS budgets, and energy security. Therefore, this study aimed to…
View article: Digitalization for transformative urbanization, climate change adaptation, and sustainable farming in Africa: trend, opportunities, and challenges
Digitalization for transformative urbanization, climate change adaptation, and sustainable farming in Africa: trend, opportunities, and challenges Open
In sub-Saharan Africa, mass rural-urban migration negatively affectthe agriculture sector that accounts for about 23% of the GDP and employs over 60% of the population. Together with a rapidly changing climate, unplanned urbanization poses…
View article: SHORELINE MAPPING OF TELUK NIPAH USING DIGITAL SHORELINE ANALYSIS SYSTEM (DSAS) IN ARCGIS WITH TIDAL CORRECTION
SHORELINE MAPPING OF TELUK NIPAH USING DIGITAL SHORELINE ANALYSIS SYSTEM (DSAS) IN ARCGIS WITH TIDAL CORRECTION Open
Shoreline characterization using remote sensing technologies is a useful tool to determine the historical shoreline changes of a specific coast. Tidal variation is one of the important factors that should be considered in the shoreline map…
View article: Assessing the Impacts of Rising Sea Level on Coastal Morpho-Dynamics with Automated High-Frequency Shoreline Mapping Using Multi-Sensor Optical Satellites
Assessing the Impacts of Rising Sea Level on Coastal Morpho-Dynamics with Automated High-Frequency Shoreline Mapping Using Multi-Sensor Optical Satellites Open
Rising sea level is generally assumed and widely reported to be the significant driver of coastal erosion of most low-lying sandy beaches globally. However, there is limited data-driven evidence of this relationship due to the challenges i…
View article: Prediction of Ambient PM10 Concentration in Malaysian Cities Using Geostatistical Analyses
Prediction of Ambient PM10 Concentration in Malaysian Cities Using Geostatistical Analyses Open
Unplanned urbanisation and industrialisation caused deterioration of the atmosphere, hence affecting human health and the environment. Malaysia is one of the Southeast Asian countries that struggle significantly with air pollution. Althoug…
View article: Framing Electric Mobility for Urban Sustainability in a Circular Economy Context: An Overview of the Literature
Framing Electric Mobility for Urban Sustainability in a Circular Economy Context: An Overview of the Literature Open
The development of electro-mobility is one of the centerpieces of European country attempts to reduce carbon emissions and increase the quality of life in cities. The goals of reducing emissions from the transport sector and phasing out fo…
View article: Impacts of COVID-19 and social isolation on academic staff and students at universities: a cross-sectional study
Impacts of COVID-19 and social isolation on academic staff and students at universities: a cross-sectional study Open
Background “The impacts of the Coronavirus Disease 2019 (COVID-19) pandemic and the shutdown it triggered at universities across the world, led to a great degree of social isolation among university staff and students. The aim of this stud…
View article: Climate Change and Liveability of Cities: an Assessment of Possible Health Threats Associated With Increased Temperatures in Cities
Climate Change and Liveability of Cities: an Assessment of Possible Health Threats Associated With Increased Temperatures in Cities Open
Climate change is associated with extreme weather events such as heat waves, droughts, floods, hurricanes, storms, and wildfires globally. Within cities, the impacts of climate change are quite conspicuous as the percentage of urban dwelle…
View article: The Use of InSAR for Monitoring Deformation of Offshore Platforms
The Use of InSAR for Monitoring Deformation of Offshore Platforms Open
Fluid extraction or injection from reservoirs, which corresponds to subsidence or uplift, can cause offshore platform surface deformation. Extremely large deformation of offshore platforms often lead to production losses, threat to the str…
View article: The influence of ecosystems services depletion to climate change adaptation efforts in Africa
The influence of ecosystems services depletion to climate change adaptation efforts in Africa Open
Climate change is one of the major challenges societies round the world face at present. Apart from efforts to achieve a reduction of emissions of greenhouse gases so as to mitigate the problem, there is a perceived need for adaptation ini…
View article: Sea level prediction using ARIMA, SVR and LSTM neural network: assessing the impact of ensemble Ocean-Atmospheric processes on models’ accuracy
Sea level prediction using ARIMA, SVR and LSTM neural network: assessing the impact of ensemble Ocean-Atmospheric processes on models’ accuracy Open
This study aims to integrate a broad spectrum of ocean-atmospheric variables to predict sea level variation along West Peninsular Malaysia coastline using machine learning and deep learning techniques. 4 scenarios of different combinations…
View article: Advanced data mining techniques for landslide susceptibility mapping
Advanced data mining techniques for landslide susceptibility mapping Open
This paper describes the development and validation of landslides susceptibility models for mountainous regions using advanced data mining techniques. The investigation was carried out to ascertain the effectiveness of Naïve Bayes Multinom…
View article: Spatio-temporal modelling of the influence of climatic variables and seasonal variation on PM<sub>10</sub> in Malaysia using multivariate regression (MVR) and GIS
Spatio-temporal modelling of the influence of climatic variables and seasonal variation on PM<sub>10</sub> in Malaysia using multivariate regression (MVR) and GIS Open
In an era of rapidly changing climate, investigating the impacts of climate parameters on major air pollutants such as Particulate matter (PM10) is imperative to mitigate its adverse effect. This study utilizes Geographic Information Syste…
View article: Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms
Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms Open
In this study, we developed multiple hybrid machine-learning models to address parameter optimization limitations and enhance the spatial prediction of landslide susceptibility models. We created a geographic information system database, a…
View article: Advances in Remote Sensing Technology, Machine Learning and Deep Learning for Marine Oil Spill Detection, Prediction and Vulnerability Assessment
Advances in Remote Sensing Technology, Machine Learning and Deep Learning for Marine Oil Spill Detection, Prediction and Vulnerability Assessment Open
Although advancements in remote sensing technology have facilitated quick capture and identification of the source and location of oil spills in water bodies, the presence of other biogenic elements (lookalikes) with similar visual attribu…
View article: AUTOMATED MARINE OIL SPILL DETECTION USING DEEP LEARNING INSTANCE SEGMENTATION MODEL
AUTOMATED MARINE OIL SPILL DETECTION USING DEEP LEARNING INSTANCE SEGMENTATION MODEL Open
This study developed a novel deep learning oil spill instance segmentation model using Mask-Region-based Convolutional Neural Network (Mask R-CNN) model which is a state-of-the-art computer vision model. A total of 2882 imageries containin…
View article: The use of geospatial data from GIS in the quantitative analysis of landslides
The use of geospatial data from GIS in the quantitative analysis of landslides Open
This study was conducted in order to compare two advanced technique used in establishing landslides susceptibility maps. The study considers a method of landslides analysis using the analytical hierarchy process (AHP) to check the occurren…
View article: Investigation of Air Pollution Impact on Kinta River Water Quality at a Tropical Region
Investigation of Air Pollution Impact on Kinta River Water Quality at a Tropical Region Open
Critical air quality levels lead to an unhealthy environment which disrupts physical activities and human health. Wet deposition of air pollutants might cause a high concentration of water pollution due to rain water washout of nitrate and…
View article: Spatio-Temporal Analysis of Oil Spill Impact and Recovery Pattern of Coastal Vegetation and Wetland Using Multispectral Satellite Landsat 8-OLI Imagery and Machine Learning Models
Spatio-Temporal Analysis of Oil Spill Impact and Recovery Pattern of Coastal Vegetation and Wetland Using Multispectral Satellite Landsat 8-OLI Imagery and Machine Learning Models Open
Oil spills are a global phenomenon with impacts that cut across socio-economic, health, and environmental dimensions of the coastal ecosystem. However, comprehensive assessment of oil spill impacts and selection of appropriate remediation …