FSP4HSP: Frequent sequential patterns for the improved classification of heat shock proteins, their families, and sub-types

MS Nawaz, P Fournier-Viger, S Nawaz, W Gan… - International Journal of …, 2024 - Elsevier
Heat shock proteins (HSPs) from different families and sub-types play a vital role in the
folding and unfolding of proteins, in maintaining cellular health, and in preventing serious …

Exploiting the sequential nature of genomic data for improved analysis and identification

MS Nawaz, MZ Nawaz, Z Junyi, P Fournier-Viger… - Computers in Biology …, 2024 - Elsevier
Genomic data is growing exponentially, posing new challenges for sequence analysis and
classification, particularly for managing and understanding harmful new viruses that may …

SPM4GAC: SPM based approach for genome analysis and classification of macromolecules

MS Nawaz, P Fournier-Viger, S Nawaz, H Zhu… - International Journal of …, 2024 - Elsevier
Genome sequence analysis and classification play critical roles in properly understanding
an organism's main characteristics, functionalities, and changing (evolving) nature …

Revolutionize Infectious Prevention Using Artificial Intelligence and Deep Learning

DK Verma, S Singh, S Dubey… - … Conference on Advances …, 2024 - Springer
The study and treatment of human infection continues to be examined in relation to
generative AI, deep learning, machine learning, and AI (artificial intelligence). We provide an …

Real-time infectious disease endurance indicator system for scientific decisions using machine learning and rapid data processing

S Dubey, DK Verma, M Kumar - PeerJ Computer Science, 2024 - peerj.com
Abstract The SARS-CoV-2 virus, which induces an acute respiratory illness commonly
referred to as COVID-19, had been designated as a pandemic by the World Health …

Revealing a State-of-the-Art Machine Learning Architecture for Comprehensive Evaluation of Hepatitis Disease

S Malviya, S Dubey, SK Lodhi, D Parmar… - … on Engineering and …, 2024 - ieeexplore.ieee.org
One of the most destructive illnesses in the world is hepatitis. On the basis of features,
machine learning techniques can help with hepatitis disease diagnosis. The authors …

[PDF][PDF] Identification of Unique Genomic Signatures in Viral Immunogenic Syndrome (VIS) Using FIMAR and FCSM Methods for Development of Effective Diagnostic …

S DUBEY, DK VERMA, M KUMAR - Economic Computation & …, 2024 - ecocyb.ase.ro
The" Viral Immunogenic Syndrome"(VIS) incorporates the concepts of" viral" and"
immunogenic" to emphasise the pathogenic character of the illness and the immunological …

Genome Sequence Analysis of Severe Acute Respiratory Syndrome Using GenoAnalytica Model

S Dubey, DK Verma, M Kumar - Scalable Computing: Practice and …, 2025 - scpe.org
We proposed a GenoAnalytica model for examining the SARS's genomics sequences. The
technologies make proper data extraction from genomics sequences of viruses. We use the …

Generic Framework of New Era Artificial Intelligence and Its Applications

BM Sharma, DK Verma, KD Raghuwanshi… - … Conference on Applied …, 2023 - Springer
Since many years ago, scholars have been interested in human-computer communication.
The interface between humans as well as computers can be carried out in a variety of ways …

Exploring the Molecular Diversity of SARS, Ebola, MERS, and SAR-COV-2 Viruses Using Genomics Virus Classification Algorithm: ViroGen

S Dubey, DK Verma, M Kumar - International Conference on Applied …, 2023 - Springer
As evidenced by significant mortality and transmission from the delta and Omicron versions
respectively, SARS-COV-2 mutation also causes periodic public worry. We thoroughly …