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Article
Predictive insights into nonlinear nanofluid flow in rotating systems: a machine learning approach
This research seeks to explore the heat shift mechanisms in a rotating system that contains a hybrid nanofluid comprising of graphene oxide and copper particles mixed with pure water, using a novel methodology...
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Article
Open AccessMachine learning-based prediction of heat transfer performance in annular fins with functionally graded materials
This paper presents a study investigating the performance of functionally graded material (FGM) annular fins in heat transfer applications. An annular fin is a circular or annular structure used to improve hea...
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Article
Mathematical models for fluid flow in porous media with machine learning techniques for landfill waste leachate
In this article, we take a look at an Ordinary Differential Equation model that describes the bacteria’s role in anaerobic biodegradation dynamics of domestic garbage in a landfill. A nonlinear Ordinary Differ...
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Article
Darcy–Forchheimer MHD rotationally symmetric micropolar hybrid-nanofluid flow with melting heat transfer over a radially stretchable porous rotating disk
This study fills a gap in the literature by exploring the complex interplay between microrotation, magnetic fields, and temperature factors in hybrid nanofluids, improving our understanding of their behavior a...
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Chapter and Conference Paper
Precision in Building Extraction: Comparing Shallow and Deep Models Using LiDAR Data
Building segmentation is essential in infrastructure development, population management, and geological observations. This article targets shallow models due to their interpretable nature to assess the presenc...
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Article
Open AccessExploring the role of social determinants in the risk reduction of landslide-prone settlements: a case study of Giripurno Village in Central Java, Indonesia
The world population is still growing. The growing population caused a changes in the trend of selecting settlements location. Due to the limited flat land, people were starting to form settlements in a hilly ...
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Article
Determinants of the Outcomes of a Household’s Decision Concerning Child Labor or Child Schooling
Child labour is an issue of global concern. It assumes more importance when it comes to develo** countries like Pakistan. This study attempts to highlight this child labor issue in Mardan District of Khyber ...
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Article
Elitist artificial bee colony with dynamic population size for multimodal optimization problems
Many real-world problems can be formulated as a multimodal optimization problem (MMOP), and metaheuristic algorithms used in solving MMOP have to find multiple optimal points simultaneously. The key requiremen...
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Article
Deep neural network-based identification of driving risk utilizing driver dependent vehicle driving features: a scheme for critical infrastructure protection
The modern intelligent transportation system opts for accident prediction modules as a critical aspect for road safety. Where, an accident is predicted before it actually happens and precautionary measures be ...
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Article
A hybrid heuristic-driven technique to study the dynamics of savanna ecosystem
Savanna fire has many types: Savanna woody, Savanna vegetation, and grassland. In this paper, Savanna vegetation is studied, characterized by low trees and high grass. It grows in hot and seasonally dry condit...
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Chapter and Conference Paper
A Proof-of-Concept Implementation Based on the Framework of AI-Enabled Proactive mHealth: Health Promotion with Motivation
Digital health with mHealth contributes to health promotion by empowering the user with a holistic view of their health. Proactive mHealth is to predict and prevent a situation beforehand, promptly. Most healt...
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Article
Analysis of heat transmission in convective, radiative and moving rod with thermal conductivity using meta-heuristic-driven soft computing technique
The present study analyzes the thermal attribute of conductive, convective, and radiative moving fin with thermal conductivity and constant velocity. The basic Darcy’s model is utilized to formulate the govern...
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Article
Quantitative features analysis of a model for separation of dissolved substances from a fluid flow by using a hybrid heuristic
Removal of dyes from wastewater is a challenging task for scientists and environmentalists. This work has studied a mathematical model characterizing the typical staining process within sewage systems. Two wid...
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Article
Heat transfer analysis of an inclined longitudinal porous fin of trapezoidal, rectangular and dovetail profiles using cascade neural networks
In this paper, the mathematical model of an inclined longitudinal porous fin of trapezoidal, rectangular, and dovetail profiles in the presence of convective and radiative environments is considered to study t...
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Article
Open AccessApplication of Legendre polynomials based neural networks for the analysis of heat and mass transfer of a non-Newtonian fluid in a porous channel
In this paper, the mathematical models for flow and heat-transfer analysis of a non-Newtonian fluid with axisymmetric channels and porous walls are analyzed. The governing equations of the problem are derived ...
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Article
Open AccessMulti-label classification of research articles using Word2Vec and identification of similarity threshold
Every year, around 28,100 journals publish 2.5 million research publications. Search engines, digital libraries, and citation indexes are used extensively to search these publications. When a user submits a qu...
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Article
A hybrid list-based task scheduling scheme for heterogeneous computing
Efficient task scheduling is required to attain high performance in both homogeneous and heterogeneous computing systems. An application can be considered as a task grid represented using a Directed Acyclic Gr...
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Article
Open AccessSolutions of fractional order differential equations modeling temperature distribution in convective straight fins design
In this paper, the problem of temperature distribution for convective straight fins with constant and temperature-dependent thermal conductivity is solved by using artificial neural networks trained by the bio...
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Article
An Evolutionary Computing-Based Efficient Hybrid Task Scheduling Approach for Heterogeneous Computing Environment
Task schedule optimization enables to attain high performance in both homogeneous and heterogeneous computing environments. The primary objective of task scheduling is to minimize the execution time of an appl...
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Chapter and Conference Paper
AI-Enabled Proactive mHealth: A Review
Digital health incorporates mHealth to provide digital transformation in healthcare. AI in mHealth has a significant impact on promoting self-management. Our current healthcare system is reactive that is to re...
