Cargando…

Automated Bacterial Classifications Using Machine Learning Based Computational Techniques: Architectures, Challenges and Open Research Issues

Bacteria are important in a variety of practical domains, including industry, agriculture, medicine etc. A very few species of bacteria are favourable to humans. Whereas, majority of them are extremely dangerous and causes variety of life threatening illness to different living organisms. Traditiona...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kotwal, Shallu, Rani, Priya, Arif, Tasleem, Manhas, Jatinder, Sharma, Sparsh
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Netherlands 2021
Materias:	Review Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505783/ https://www.ncbi.nlm.nih.gov/pubmed/34658617 http://dx.doi.org/10.1007/s11831-021-09660-0

Ejemplares similares

Machine Learning and Deep Learning Based Computational Approaches in Automatic Microorganisms Image Recognition: Methodologies, Challenges, and Developments
por: Rani, Priya, et al.
Publicado: (2021)

Advances Towards Automatic Detection and Classification of Parasites Microscopic Images Using Deep Convolutional Neural Network: Methods, Models and Research Directions
por: Kumar, Satish, et al.
Publicado: (2022)

Optimizing Image Classification: Automated Deep Learning Architecture Crafting with Network and Learning Hyperparameter Tuning
por: Ang, Koon Meng, et al.
Publicado: (2023)

Automated Classification of Significant Prostate Cancer on MRI: A Systematic Review on the Performance of Machine Learning Applications
por: Castillo T., Jose M., et al.
Publicado: (2020)

Automated classification of polyps using deep learning architectures and few-shot learning
por: Krenzer, Adrian, et al.
Publicado: (2023)

JACOP: A simple and robust method for the automated classification of protein sequences with modular architecture
por: Sperisen, Peter, et al.
Publicado: (2005)

An automated mammogram classification system using modified support vector machine
por: Kayode, Aderonke Anthonia, et al.
Publicado: (2019)

Automated Classification of 6-n-Propylthiouracil Taster Status with Machine Learning
por: Naciri, Lala Chaimae, et al.
Publicado: (2022)

Automated classification of bacterial cell sub-populations with convolutional neural networks
por: Tamiev, Denis, et al.
Publicado: (2020)

Automated Impact Damage Detection Technique for Composites Based on Thermographic Image Processing and Machine Learning Classification
por: Alhammad, Muflih, et al.
Publicado: (2022)

Automated Sleep Stage Classification in Home Environments: An Evaluation of Seven Deep Neural Network Architectures
por: Yeckle, Jaime, et al.
Publicado: (2023)

Automated Monitoring of Treatment Delivery
por: Palta, Jatinder
Publicado: (2017)

An Automated Data Fusion-Based Gear Faults Classification Framework in Rotating Machines
por: Cao, Ruifeng, et al.
Publicado: (2021)

Automated Chicago Classification for Esophageal Motility Disorder Diagnosis Using Machine Learning
por: Surdea-Blaga, Teodora, et al.
Publicado: (2022)

Biomedical Image Classification in a Big Data Architecture Using Machine Learning Algorithms
por: Tchito Tchapga, Christian, et al.
Publicado: (2021)

Analysis for the presence of determinants involved in the transport of mercury across bacterial membrane from polluted water bodies of India
por: Jan, Arif Tasleem, et al.
Publicado: (2016)

Classification of COVID-19 by using supervised optimized machine learning technique
por: Sharma, Dilip Kumar, et al.
Publicado: (2022)

Calculating Area of Graft Required for Vitiliginous Areas During Split-thickness Skin Grafting: A Simple, Accurate, and Cost-effective Technique
por: Arif, Tasleem, et al.
Publicado: (2017)

DroidAutoML: A Microservice Architecture to Automate the Evaluation of Android Machine Learning Detection Systems
por: Bromberg, Yérom-David, et al.
Publicado: (2020)

Automated classification of synaptic vesicles in electron tomograms of C. elegans using machine learning
por: Kaltdorf, Kristin Verena, et al.
Publicado: (2018)

Machine learning-based automated classification of headache disorders using patient-reported questionnaires
por: Kwon, Junmo, et al.
Publicado: (2020)

Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification
por: Yaman, Emine, et al.
Publicado: (2019)

Image Classification and Automated Machine Learning to Classify Lung Pathologies in Deceased Feedlot Cattle
por: Bortoluzzi, Eduarda M., et al.
Publicado: (2023)

Phage_Finder: Automated identification and classification of prophage regions in complete bacterial genome sequences
por: Fouts, Derrick E.
Publicado: (2006)

Machine learning techniques for jet classification
por: Gouskos, Loukas
Publicado: (2020)

Assembly and Channel Opening in a Bacterial Drug Efflux Machine
por: Bavro, Vassiliy N., et al.
Publicado: (2008)

Top-Down Machine Learning-Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks
por: Abu Al-Haija, Qasem
Publicado: (2022)

Classification of bacterial plasmid and chromosome derived sequences using machine learning
por: Zou, Xiaohui, et al.
Publicado: (2022)

Open architecture for accelerators
por: Altaber, Jacques
Publicado: (1990)

Machine protection workshop revisited open issues, progress and decisions on major topics
por: Wollmann, D, et al.
Publicado: (2014)

Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry
por: Lugnan, Alessio, et al.
Publicado: (2020)

Blockchain for genomics and healthcare: a literature review, current status, classification and open issues
por: Adanur Dedeturk, Beyhan, et al.
Publicado: (2021)

A systematic review of the purposes of Blockchain and fog computing integration: classification and open issues
por: Alzoubi, Yehia Ibrahim, et al.
Publicado: (2022)

Automated system for classification of COVID-19 infection from lung CT images based on machine learning and deep learning techniques
por: Guhan, Bhargavee, et al.
Publicado: (2022)

Interoperating database systems: issues and architectures
por: Hamill, S, et al.
Publicado: (1997)

Using Support Vector Machines with Multiple Indices of Diffusion for Automated Classification of Mild Cognitive Impairment
por: O'Dwyer, Laurence, et al.
Publicado: (2012)

Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine
por: Madero Orozco, Hiram, et al.
Publicado: (2015)

Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach
por: Murat, Miraemiliana, et al.
Publicado: (2017)

mAML: an automated machine learning pipeline with a microbiome repository for human disease classification
por: Yang, Fenglong, et al.
Publicado: (2020)

Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data
por: Orengo, Hector A., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_t3kco7edrm4rbga2speddgsa9a