Optimizing classification efficiency with machine learning techniques for pattern matching

BA Hamed, OAS Ibrahim, T Abd El-Hafeez - Journal of Big Data, 2023 - Springer
The study proposes a novel model for DNA sequence classification that combines machine
learning methods and a pattern-matching algorithm. This model aims to effectively …

Recent insight into nanotechnology in fish processing: a knowledge gap analysis

G Alak, M Atamanalp, V Parlak, A Uçar - Nanotechnology, 2023 - iopscience.iop.org
Fish and other seafood are fundamental nutritional ingredients for a healthy life that are
consumed globally. However, the high degree of spoilage of these products has led to the …

Develop a 7 layers convolution neural network and IoT-based garbage classification system

R Uppala, V Ramya - International Journal of Intelligent Systems and …, 2023 - ijisae.org
To achieve highly accurate biomedical waste classification at the start of a collection of
biomedical waste, researchers use a deep learning-based processor in this method along …

ML-MT: a study of e-health application framework by machine learning techniques

K Mridha, A Ritu, MMA Chowdhury… - 2022 IEEE 4th …, 2022 - ieeexplore.ieee.org
One of the crucial challenges of the healthcare sector is to provide services efficiently so that
everyone can get the care they need without having to get caught up in the administrative …

Toward Explainable Cardiovascular Disease Diagnosis: A Machine Learning Approach

K Mridha, AC Kuri, T Saha, N Jadeja, M Shukla… - … Conference on Data …, 2023 - Springer
Cardiovascular diseases (CVDs) are one of the leading causes of mortality globally. Early
and accurate diagnosis is crucial for the effective treatment and management of CVDs. In …

DBNet: Detect Diabetic Retinopathy to Stop Blindness Before it's Too Late

K Mridha, MM Shorna, N Arefin, A Ritu… - … (Trends and Future …, 2022 - ieeexplore.ieee.org
Diabetes retinopathy is an eye disorder, primarily caused by high blood sugar from diabetes.
Due to the complication, the back side of the eye (retina) gets infected, leading to permanent …

A Combined ELM and CNN Model Architecture for Accurate Viral Family DNA Classification

A El-Tohamy, HA Maghawry… - … Conference on Intelligent …, 2023 - ieeexplore.ieee.org
Viruses are an important group of pathogens that can cause a wide range of diseases in
humans and other organisms. Accurate and efficient classification of viruses is crucial for the …

A comparative analysis of the evolution of dna sequencing techniques along with the accuracy prediction of a sample dna sequence dataset using machine learning

KB Mohammed, SV Boyapati… - … on Paradigm Shifts …, 2023 - ieeexplore.ieee.org
DNA is widely considered the blueprint of life. The instructions required for all life forms, to
evolve, breed, and thrive are found in DNA. Deoxyribonucleic acid, more commonly known …

Nucleotide Sequence Classification of Paeonia Lactiflora Based on Feature Representation Learning

B Yang, Y Cao, R Han, W Bao - International Conference on Applied …, 2023 - Springer
For the treatment of recurrent oral ulcer, total glucosides of paeony is an ideal drug. Long
term application of total glucosides of paeony has low side effects and better patient …

Cracking the Genetic Codes: Exploring DNA Sequence Classification with Machine Learning Algorithms and Voting Ensemble Strategies

A Rahman, S Zaman, D Das - 2024 International Conference …, 2024 - ieeexplore.ieee.org
In the domain of bioinformatics, DNA sequence classification is an indispensable tool that
spans various scientific disciplines, contributing to scientists' understanding of biology …