Ajin R Nair

• Active Researcher
• Amrita Vishwa Vidyapeetham

Gene expression in the microarray is assimilated with redundant and high-dimensional information. Moreover, the information in the microarray genes mostly correlates with background noise. This paper uses dimensionality reduction and feature selection methods to employ a classification methodology for high-dimensional lung cancer microarray data. T...

The microarray gene expression data poses a tremendous challenge due to their curse of dimensionality problem. The sheer volume of features far surpasses available samples, leading to overfitting and reduced classification accuracy. Thus the dimensionality of microarray gene expression data must be reduced with efficient feature extraction methods...

The microarray gene expression data poses a tremendous challenge due to their curse of dimensionality problem. The sheer volume of features far surpasses available samples, leading to overfitting and reduced classification accuracy. Thus the dimensionality of microarray gene expression data must be reduced with efficient feature extraction methods...

Microarray gene expression analysis is a powerful technique used in cancer classification and research to identify and understand gene expression patterns that can differentiate between different cancer types, subtypes, and stages. However, microarray databases are highly redundant, inherently nonlinear, and noisy. Therefore, extracting meaningful...

Microarray gene expression analysis is a powerful technique used in cancer classification and research to identify and understand gene expression patterns that can differentiate between different cancer types, subtypes, and stages. However, microarray databases are highly redundant, inherently nonlinear, and noisy. Therefore, extracting meaningful...

The automated ECG data analysis identifies patients with cardiac problems, thereby ensuring accuracy, saving time and medical resources. This article presents a novel approach to the abnormal cardiac condition classification of ECG using 3DCNN. The classification is primarily based on three cardiac conditions: Sinus Rhythm, Abnormal Arrhythmia, and...

Microarray gene expression-based detection and classification of medical conditions have been prominent in research studies over the past few decades. However, extracting relevant data from the high-volume microarray gene expression with inherent nonlinearity and inseparable noise components raises significant challenges during data classification...

Microarray gene expression-based detection and classification of medical conditions have been prominent in research studies over the past few decades. However, extracting relevant data from the high-volume microarray gene expression with inherent nonlinearity and inseparable noise components raises significant challenges during data classification...

The greatest challenge faced by the Simultaneous Wireless Information and Power Transfer (SWIPT) system during implementation is hardware impairment.This article proposes a bio-inspired digital pre-distortion scheme to overcome the high power amplifier nonlinearity and in-phase and quadrature imbalances in the SWIPT system.Here, the memory polynomi...

In this paper, we consider a Power Splitting (PS) based Simultaneous Wireless Information and Power Transfer (SWIPT) system which is having I and Q (In-phase and Quadrature) imbalance hardware impairment. The prime objective of this paper is to maximize the harvested energy for a SWIPT PS system satisfying a minimum signal to noise ratio (SNR) requ...

Although there are many articulations of SWIPT architecture implementations, the hardware impairment aspect involved in the SWIPT architecture system is not given much attention. This paper evaluates the performance of SWIPT PS Reciever architecture in the presence of IQ imbalance hardware impairment with 16-QAM transmitter and AWGN channel. The pa...

In this article, the impact of high power amplifier non-linearity namely harmonic distortion in simultaneous wireless information and power transfer (SWIPT) power splitting system (PS) is analyzed. Here the SWIPT transmitter with a high power amplifier follows IQ modulation and the receiver is equipped with a power splitting architecture. The harve...

SWIPT says to us that we can simultaneously harvest energy from the information signal. The paper is mainly focusing on the modelling of the hardware imperfections of a SWIPT Power Splitting system considering the transmission quality and satisfying energy harvesting constraints. The hardware imperfections can be IQ imbalances, non-linearity in amp...

This paper presents a simultaneous wireless information and power transfer system modeling in LabVIEW. Since SWIPT system is very active research topic, a complete system level modeling is indispensable. The LabVIEW based modeling of SWIPT system facilitate the research by providing the system level simulation in an efficient and comprehensive way....