A5061331659- Geophysical and Geoelectrical Methods
- Underwater Acoustics Research
- Statistical Distribution Estimation and Applications
- Scientific Research and Discoveries
- Geophysical Methods and Applications
- Probabilistic and Robust Engineering Design
- Energy Load and Power Forecasting
- Seismic Imaging and Inversion Techniques
- Hydrology and Drought Analysis
- Data-Driven Disease Surveillance
- Advanced Clustering Algorithms Research
- IoT-based Smart Home Systems
- Numerical methods for differential equations
- COVID-19 epidemiological studies
- Differential Equations and Numerical Methods
- Fractional Differential Equations Solutions
- Advanced Optimization Algorithms Research
- IoT and Edge/Fog Computing
- Fire effects on ecosystems
- Energy Harvesting in Wireless Networks
- Underwater Vehicles and Communication Systems
- Sparse and Compressive Sensing Techniques
- Iterative Methods for Nonlinear Equations
- Stock Market Forecasting Methods
- Seismic Waves and Analysis
Universiti Teknologi Petronas
2016-2025
University of Virginia
2023
Yes Technologies (United States)
2019
Applied Science Private University
2014
University of Technology Malaysia
2014
Petronas (Malaysia)
2012
This work aims to introduce a novel statistical distribution based on Maxwell that can handle both positive and negative data sets with varying failure rates, including decreasing bathtub-shaped distributions. The be derived via the log transformation approach an additional exponent parameter, defining Transformed Log (TLMax) distribution. numerical investigation reveals developed TLMax effectively fit sets. A set containing times for Kevlar 49/epoxy at pressure of approximately 90% was...
Reservoir water level (RWL) prediction has become a challenging task due to spatio-temporal changes in climatic conditions and complicated physical process. The Red Hills (RHR) is an important source of drinking irrigation supply Thiruvallur district, Tamil Nadu, India, also expected be converted into the other productive services future. However, climate change region have consequences over RHR’s future prospects. As result, accurate reliable RWL crucial develop appropriate release...
In this research, we extended the Log-Logistic distribution by incorporating it into Maxwell generalized class, resulting in Maxwell-Log Logistic (Max-LL ) distribution. The probability density function and cumulative of proposed have been defined. distribution’s shapes can be left or right-skewed symmetric. failure might increasing, decreasing, inverted bathtub forms. We discussed some essential properties Max-LL distribution, including moments, moment generating function, weighted...
This paper proposes a smart parking system to solve the problem of unnecessary time consumption in finding spot commercial car park areas. A reservation is developed such way that users book their spots through short message services (SMS). The SMS sent will be processed by wireless communication instrumentation device called micro-RTU (Remote Terminal Unit). reply confirmation booking giving details like password and lot number. used enter area valid for certain period time. fully automated...
Global warming impacted the rise of temperature globally, some places a high risk fire such as land and forest fire. Many efforts to prevent occurrence fire, but methods are not achieved in optimum results. One issues is carbon emitted sky general concentration. The current sensor only detected status without detail concentration either from or any other source that contribute carbon. This research identifies detects fog haze by identifying particles flying skies calculates based on number...
Anaerobic co-digestion (ACD), where two or more substrates are digested simultaneously, is able to prevent the problems associated with mono-digestion. The aim of this study develop a simulation model ACD food waste (FW) sewage sludge (SS) for biogas production coupled pre-treatment, handling and upgrading using SuperPro Designer v9.0. Design Expert v13 employed perform optimization evaluate effect hydraulic retention time (HRT), recycle ratio, water feed ratio (kg/kg) SS FW on methane flow,...
In the field of biomedical research, data characteristics often exhibit significant variability, challenging applicability classical Gumbel distribution for modeling. To address this, this paper introduces a novel extension model known as odd beta prime (OBP-Gum) model. Derived from family, new exhibits greater kurtosis compared to traditional distribution. Importantly, proposed is designed capture right-skewed, left-skewed, and nearly symmetric density functions, well increasing,...
The aim of this study was to spur the lipid accumulation by larvae Hermetia illucens or black soldier fly (BSFL) via feeding with yeast fermented medium. Saccharomyces cerevisiae, a single cell yeast, introduced at different concentrations (0.02, 0.1, 0.5, 1.0, 2.5 wt %) execute an in-situ fermentation on coconut endosperm waste. rearing BSFL started simultaneously and stopped once reached fifth instar. With increasing concentration, duration shortened from 15.5 13.5 days. Moreover, it found...
In parametric statistical modeling, it is important to construct new extensions of existing probability distributions (PDs) that can make modeling data more flexible and help stakeholders better decisions. the present study, a family (FPDs) called odd beta prime generalized (OBP-G) FPDs proposed improve traditional PDs. A PD prime-logistic (OBP-logistic) distribution has been developed based on OBP-G FPDs. Some desirable mathematical properties OBP-logistic distribution, including moments,...
A Markov chain is commonly used in stock market analysis, manpower planning, and many other areas because of its efficiency predicting long run behavior. However, the Air Quality Index (AQI) suffers from not using a forecasting approach. Therefore, this paper proposes simple tool to predict future air quality with model. The proposed method introduces as an operator evaluate distribution pollution level term. Initial state vector transition probability were behavior Pollution (API) that has...
In this work, a novel generalized family of distributions called the odd beta prime is introduced. The linear representations proposed are obtained. expressions for moments, moment-generating function, and entropy derived. A three-parameter special sub-model exponential distribution proposed. Finally, two real data sets used to illustrate usefulness flexibility distribution.
In this article, we pioneer a new Burr X distribution using the odd beta prime generalized (OBP-G) family of distributions called OBP-Burr (OBPBX) distribution. The density function model is symmetric, left-skewed, right-skewed, and reversed-J, while hazard monotonically increasing, decreasing, bathtub, N-shaped, making it suitable for modeling skewed data failure rates. Various statistical properties are obtained, such as moments, moment-generating function, entropies, quantile limit...
This study introduces a novel family of continuous probability distributions using Alzaatreh‘s technique to explore the Generalized Odd Maxwell-Generated (GOM-G) distribution family. Within Maxwell family, GOM-Kumaraswamy is presented as extended form Kumaraswamy distribution. The investigation thoroughly examines cumulative function, density hazard, and survival functions, well mixture representations Maxwell-Kumaraswamy suggested distribution's structural properties, including moments,...
This study introduces a novel three-parameter time distribution called Type II Topp-Leone exponentiated gamma (TIITL-EG) distribution. new model offers excellent flexibility in handling skewed data. We analyze various mathematical properties such as ordinary moments, moment-generating functions, and conditional moments. Mean residual life, different entropy measures, order statistics are computed. Model parameters estimated using the maximum likelihood method. Finally, we demonstrate use of...
This article develops two new algorithms of three-term conjugate gradient (TTCG) coefficients to handle nonlinear least-squares (NLS) problems using the structured secant equation. Motivated by improved conjugacy and sufficient descent conditions, we developed formulations CG coefficients. Furthermore, with these parameters, search directions are proposed that satisfy condition, which further enhances efficiency strategies. One key advantage techniques is their low memory requirements,...
<p>Clustering is essential in data analysis, with K-means clustering being widely used for its simplicity and efficiency. However, several challenges can affect performance, including the handling of outliers, transformation non-spherical into a spherical form, selection optimal number clusters. This paper addressed these by developing enhancing specific models. The primary objective was to improve robustness accuracy presence issues. To handle this research employed winsorization...
Coconut endosperm waste (CEW) was treated by Rhizopus oligosporus via in situ and ex fermentations together with bioconversion into valuable black soldier fly larval biomass. The fermentation could overall enrich the nutritional compositions of CEW hydrolyzing its complex organic polymers exuding assimilable nutrients to enhance larvae (BSFL) growth. Nevertheless, gut bacteria were competing fermentation, derailing hydrolysis processes Accordingly, highest growth rates achieved around 0.095...