Simultaneous spectrophotometric determination of drug components from their dosage formulations

D Gupta, S Bhardwaj, S Sethi, S Pramanik… - … Acta Part A: Molecular …, 2022 - Elsevier
Spectrophotometry is a quick and reliable method for determining the composition of a
variety of complex drug mixtures. Several mathematical models are available for the …

Artificial intelligence based techniques for the detection of socio-behavioral disorders: a systematic review

M Mengi, D Malhotra - Archives of Computational Methods in Engineering, 2022 - Springer
In new era of emerging technologies, diagnosing the neurodevelopmental disorders at the
primitive stage has led to a rise in the development of automated diagnostic systems. Socio …

Chaos theory and ARTFA: emerging tools for interpreting ECG signals to diagnose cardiac arrhythmias

V Gupta, M Mittal, V Mittal - Wireless Personal Communications, 2021 - Springer
Timely detection of cardiac abnormalities from an Electrocardiogram (ECG) signal is very
essential. This requires its appropriate and efficient processing. In the literature, most of the …

Automated detection of abnormal EEG signals using localized wavelet filter banks

M Sharma, S Patel, UR Acharya - Pattern Recognition Letters, 2020 - Elsevier
Epilepsy is a neural disorder that is associated with the central nervous system (CNS) in
which the brain activity sometimes becomes abnormal, which may lead to seizures, loss of …

Introduction to redundancy rules: the continuous wavelet transform comes of age

PS Addison - … Transactions of the Royal Society A …, 2018 - royalsocietypublishing.org
Redundancy: it is a word heavy with connotations of lacking usefulness. I often hear that the
rationale for not using the continuous wavelet transform (CWT)—even when it appears most …

Deep learning classification of breast cancer tissue from terahertz imaging through wavelet synchro-squeezed transformation and transfer learning

H Liu, N Vohra, K Bailey, M El-Shenawee… - Journal of Infrared …, 2022 - Springer
Terahertz imaging and spectroscopy is an exciting technology that has the potential to
provide insights in medical imaging. Prior research has leveraged statistical inference to …

Research and application of acoustic emission signal processing technology

L Zhao, L Kang, S Yao - Ieee Access, 2018 - ieeexplore.ieee.org
Acoustic emission signal processing has always been a key problem in damage
assessment of components and materials, and parameter analysis and waveform analysis …

Evaluation of handcrafted features and learned representations for the classification of arrhythmia and congestive heart failure in ECG

S Nahak, A Pathak, G Saha - Biomedical Signal Processing and Control, 2023 - Elsevier
Electrocardiogram (ECG) is considered as an essential diagnostic tool to investigate life-
threatening cardiac abnormalities, such as arrhythmia and congestive heart failure. It is …

An examination of the continuous wavelet transform for volcano-seismic spectral analysis

S Lapins, DC Roman, J Rougier, S De Angelis… - Journal of Volcanology …, 2020 - Elsevier
Volcanoes produce widely varying seismic signals due to the presence of complex and non-
linear physical processes. The temporal distribution of seismicity at volcanoes ranges from …

Multiresolution continuous wavelet transform for studying coupled solute–solvent vibrations via ab initio molecular dynamics

G Donati, A Petrone, N Rega - Physical Chemistry Chemical Physics, 2020 - pubs.rsc.org
Vibrational analysis in solution and the theoretical determination of infrared and Raman
spectra are of key importance in many fields of chemical interest. Vibrational band dynamics …