A5052686552- Antenna Design and Analysis
- Antenna Design and Optimization
- Radiation Effects in Electronics
- Advanced MIMO Systems Optimization
- Advancements in Semiconductor Devices and Circuit Design
- Low-power high-performance VLSI design
- Probabilistic and Robust Engineering Design
- Microwave Engineering and Waveguides
- Semiconductor materials and devices
- Software Reliability and Analysis Research
- Hybrid Renewable Energy Systems
- Wireless Body Area Networks
- Statistical Distribution Estimation and Applications
- Energy Load and Power Forecasting
- VLSI and Analog Circuit Testing
- Phase Change Materials Research
- Millimeter-Wave Propagation and Modeling
- Solar Thermal and Photovoltaic Systems
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Solar-Powered Water Purification Methods
- Energy Harvesting in Wireless Networks
- Advanced Battery Technologies Research
- Energy and Environment Impacts
- Financial Risk and Volatility Modeling
INTI International University
2022-2025
Birla Institute of Technology and Science, Pilani
2021
Universiti Teknologi Petronas
2007-2014
Petronas (Malaysia)
2012-2013
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...
The performance of nanofluids is largely determined by their thermophysical properties. Optimizing these properties can significantly enhance nanofluid performance. This study introduces a hybrid strategy based on computational intelligence to determine the optimal conditions for ternary nanofluids. goal minimize dynamic viscosity and maximize thermal conductivity varying volume fraction, temperature, nanomaterial mixing ratio. proposed integrates machine learning, multi-objective...
An inset fed-microstrip patch antenna (MPA) with a partial ground structure is constructed and evaluated in this paper. This article covers how to evaluate the performance of designed by using combination simulation, measurement, creation RLC equivalent circuit model, implementation machine learning approaches. The MPA’s measured frequency range 7.9–14.6 GHz, while its simulated 8.35–14.25 GHz CST microwave studio (CST MWS) 2018. bandwidths are 6.7 5.9 respectively. substrate composed FR-4...
Abstract Yagi antennas are useful for wireless communications because of the directional gain they provide, allowing antenna to concentrate signal in either transmission or reception direction. It is built on a substrate made FR-4, this has return loss −46.85 dB at 3.6 GHz and bandwidth 3.3–4.2 within −10 range, making it ideal use n77 bands. Not only small, with size 0.642 λ 0 × 0.583 , but also maximum 7.95 directivity 8.58 dB. This study investigates several approaches estimating...
Abstract Suspensions containing microencapsulated phase change materials (MPCMs) play a crucial role in thermal energy storage (TES) systems and have applications building materials, textiles, cooling systems. This study focuses on accurately predicting the dynamic viscosity, critical thermophysical property, of suspensions MPCMs MXene particles using Gaussian process regression (GPR). Twelve hyperparameters (HPs) GPR are analyzed separately classified into three groups based their...
High-gain DC–DC converters are being drastically utilized in renewable energy generation systems, such as photovoltaic (PV) and fuel cells (FC). Renewable sources (RES) persist with low-level output voltage; therefore, high-gain essentially integrated RES for satisfactory performance. This paper proposes a non-isolated non-inverting interleaved boost converter. The proposed converter topology is comprised of two inductors these charging discharging series parallel circuit configurations....
In this study, a novel reconfigurable triple-band monopole antenna for LoRa IoT applications is fabricated on an FR-4 substrate. The proposed designed to function at three distinct frequency bands: 433 MHz, 868 and 915 MHz covering the bands in Europe, America, Asia. by using PIN diode switching mechanism, which allows selection of desired operating band based state diodes. CST MWS
In recent years, the research has focused firmly on Autonomous Aerial Vehicles (AAVs) owing to their vast array of potential applications, aid those applications this study presents a technical approach for source localization and landing trajectory identification Vehicle (AAV) landing, leveraging computer vision photogrammetry techniques. The proposed method aims achieve accurate robust target area precise determination AAV's trajectory. module utilizes system equipped with onboard cameras...
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,...
Due to small size and lightweight properties, the development of microstrip (MS) patch antennas for wireless communication has become one mobile application devices in demand recent years. This helped reduce reliance on wired cables. In this paper, a study been performed MS antenna by developing quasi-Yagi structure fire retardant-4 (FR-4) substrate with coplanar strip line (CPS) transition feeding technique. The is designed using computer simulation technology (CST) achieve desired resonant...
Abstract Optimization of thermophysical properties (TPPs) MXene-based nanofluids is essential to increase the performance hybrid solar photovoltaic and thermal (PV/T) systems. This study proposes a approach optimize TPPs Ionanofluids. The input variables are MXene mass fraction (MF) temperature. optimization objectives include three TPPs: specific heat capacity (SHC), dynamic viscosity (DV), conductivity (TC). In proposed approach, powerful group method data handling (GMDH)-type ANN...
Emotions are vital for identifying an individual’s attitude and mental condition. Detecting classifying emotions in Natural Language Processing applications can improve Human–Computer Interaction systems, leading to effective decision making organizations. Several studies on emotion classification have employed word embedding as a feature extraction method, but they do not consider the sentiment polarity of words. Moreover, relying exclusively deep learning models extract linguistic features...
Big data is quickly becoming a new area where administrative work can be improved. Even so, it still in the early stages of being used hospitals countries with less technology. Therefore, there an inadequate grasp evaluation big adoption preparedness healthcare sector as data-point-determined insights become crucially useful institutions underdeveloped nations. This process, called “digital transformation,” has lot benefits; for example, helps organizations to create more efficient...