activity
20202026
most citedEarly Detection of Ovarian Cancer by Wavelet Analysis of Protein Mass Spectra

5 citations · 11 across the 12 of their papers we have counts for

collaborators

12 papers

stat.ME2026

Machine Learning Integrated in Wavelet Shrinkage (MLShrink)

Dixon Vimalajeewa, Vijini Lakmini, Brani Vidakovic

Data encountered in practice are frequently contaminated by additive noise, and wavelet shrinkage remains a fundamental tool for recovering underlying signals in nonparametric esti…

stat.ME2026

SCOPE Shrinkage: A Unified Framework for Wavelet Denoising

Dixon Vimalajeewa, Vijini Lakmini, Malith Premarathna +2

We introduce Symmetric CDF Oriented Probability Enhanced (SCOPE) shrinkage, a unified family of sign-preserving shrinkage rules constructed from centered cumulative distribution fu…

eess.SP2025

A Multiscale Approach for Enhancing Weak Signal Detection

Dixon Vimalajeewa, Ursula U. Muller, Brani Vidakovic

Stochastic resonance (SR), a phenomenon originally introduced in climate modeling, enhances signal detection by leveraging optimal noise levels within non-linear systems. Tradition…

stat.ML2025

A Noise Resilient Approach for Robust Hurst Exponent Estimation

Malith Premarathna, Fabrizio Ruggeri, Dixon Vimalajeewa

Understanding signal behavior across scales is vital in areas such as natural phenomena analysis and financial modeling. A key property is self-similarity, quantified by the Hurst…

stat.AP2024

Ovarian Cancer Diagnostics using Wavelet Packet Scaling Descriptors

Raymond J. Hinton, Jihyun Byun, Dixon Vimalajeewa +1

Detecting early-stage ovarian cancer accurately and efficiently is crucial for timely treatment. Various methods for early diagnosis have been explored, including a focus on featur…

stat.AP2023

Utilizing Wavelet Transform in the Analysis of Scaling Dynamics for Milk Quality Evaluation

Devon Maywald, Dixon Vimalajeewa

Food safety and quality are paramount concerns worldwide, especially concerning nutritional quality and its impact on human health. Ensuring the accuracy and efficiency of milk qua…

eess.SP2023★ 1 cited

A Method for Detecting Murmurous Heart Sounds based on Self-similar Properties

Dixon Vimalajeewa, Chihoon Lee, Brani Vidakovic

A heart murmur is an atypical sound produced by the flow of blood through the heart. It can be a sign of a serious heart condition, so detecting heart murmurs is critical for ident…

cs.LG2022★ 5 cited

Early Detection of Ovarian Cancer by Wavelet Analysis of Protein Mass Spectra

Dixon Vimalajeewa, Scott Alan Bruce, Brani Vidakovic

Accurate and efficient detection of ovarian cancer at early stages is critical to ensure proper treatments for patients. Among the first-line modalities investigated in studies of…

stat.ME2022

Gamma-Minimax Wavelet Shrinkage with Three-Point Priors

Dixon Vimalajeewa, Brani Vidakovic

In this paper we propose a method for wavelet denoising of signals contaminated with Gaussian noise when prior information about the -energy of the signal is available. Assumi…

q-bio.MN2021

Channel Capacity of Starch and Glucose Molecular Communications in the Small Intestine Digestive Tract

Dixon Vimalajeewa, Sasitharan Balasubramaniam

The emerging field of Molecular Communication (MC) aims to characterize biological-based signaling environment through information that are encoded into molecules. Since the birth…

cs.CE2021

Digestive System Dynamics in Molecular Communication Perspectives

Dixon Vimalajeewa, Sasitharan Balasubramaniam

Consumption of food in excess of the required optimal nutritional requirements has already resulted in a global crisis and this is from the perspective of human health, such as obe…

eess.SP2020★ 5 cited

Block Chain and Internet of Nano-Things for Optimizing Chemical Sensing in Smart Farming

Dixon Vimalajeewa, Subhasis Thakur, John Breslin +2

The use of Internet of Things (IoT) with the Internet of Nano Things (IoNT) can further expand decision making systems (DMS) to improve reliability as it provides a new spectrum of…