Search Results - Computing methodologies Machine learning Machine learning algorithms Feature selection

Applications of deep learning techniques for predicting dynamic service location enhanced scheduling algorithm in foggy computing environment.

Authors: Wang, Mengmeng¹ (AUTHOR) bzxywmm@126.com

Source: Alexandria Engineering Journal. Apr2025, Vol. 117, p183-192. 10p.

Subject Terms: Artificial neural networks, Convolutional neural networks, Recurrent neural networks, Standard deviations, Feature selection, Deep learning

Combined Genome and Protein Statistical Features Improved the Prediction of Genes Encoding Antimicrobial Peptides: A Machine Learning Based Approach.

Authors: Rasani, M. Karami, K. Nassiri, M. et al.

Source: Iranian Journal of Applied Animal Science. Spring2025, Vol. 15 Issue 2, p191-209. 19p.

Subjects: Antimicrobial peptides, Machine learning, Drug development, Naive Bayes classification, Genetic markers, Statistics

Advances in IoT Intrusion Detection: Deploying Hybrid Deep Learning and Metaheuristic Algorithms for Optimal Feature Selection.

Authors: Abdulkareem, Ahmed Basil¹ (AUTHOR) ahmedalnakep3@uoanbar.edu.iq

Source: Ingénierie des Systèmes d'Information. Apr2025, Vol. 30 Issue 4, p1027-1041. 15p.

Subject Terms: *REAL-time computing, INTERNET of things, INTRUSION detection systems (Computer security), FEATURE selection, INTERNET security, METAHEURISTIC algorithms, DEEP learning, ANOMALY detection (Computer security)

Adaptive Kernel Firefly Algorithm Based Feature Selection and Q-Learner Machine Learning Models in Cloud.

Authors: Mary, I. Mettildha Karuppasamy, K.

Source: Computer Systems Science & Engineering. 2023, Vol. 46 Issue 3, p2667-2685. 19p.

Subject Terms: Feature selection, Machine learning, Cloud computing, Algorithms, Distributed computing

An extensive analysis of machine learning techniques for identifying glaucoma.

Authors: Vinod Kumar R Sharmila Banu N

Source: International ophthalmology [Int Ophthalmol] 2025 Nov 07; Vol. 45 (1), pp. 466. Date of Electronic Publication: 2025 Nov 07.

Publication Type: Journal Article; Review

Journal Info: Publisher: Kluwer Country of Publication: Netherlands NLM ID: 7904294 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2630 (Electronic) Linking ISSN: 01655701 NLM ISO Abbreviation: Int Ophthalmol Subsets: MEDLINE

MeSH Terms: Machine Learning* , Glaucoma*/diagnosis , Tomography, Optical Coherence*/methods , Intraocular Pressure*/physiology , Diagnostic Techniques, Ophthalmological*, Humans ; Algorithms

GeoTS: A TSC framework for estimating geological formation to model carbon storage reservoirs

Authors: Salimath, Shwetha Bugiotti, Francesca Wlodarczyk, Sylvain et al.

Contributors: Salimath, Shwetha Bugiotti, Francesca Wlodarczyk, Sylvain et al.

Source: SIGKDD ; https://hal.science/hal-05184905 ; SIGKDD, ACM, Aug 2025, Toronto, Canada. pp.4773-4783, ⟨10.1145/3711896.3737228⟩

Subject Terms: Deep Learning Time series classification Carbon storage Lithography, Machine Learning, • Applied computing → Environmental sciences Deep Learning, Linear algebra algorithms, Feature selection, Cross-validation, Anomaly detection, Cluster analysis, • Computing methodologies → Supervised learning by classification, Information extraction, Autonomous database administration, Information systems → Data cleaning, CCS Concepts, Reservoirs, CCS Concepts Information systems → Data cleaning Autonomous database administration Information extraction • Computing methodologies → Supervised learning by classification Cluster analysis Anomaly detection Cross-validation Feature selection Linear algebra algorithms • Applied computing → Environmental sciences Deep Learning, Deep Learning, Time series classification, Carbon storage, Lithography, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [SDE]Environmental Sciences

Subject Geographic: Toronto

Time: Toronto, Canada

Availability: https://hal.science/hal-05184905
https://hal.science/hal-05184905v1/file/KDD%20GeoTS%20framework%20paper%20final_ver.pdf
https://doi.org/10.1145/3711896.3737228

Diagnosis of Monkeypox Disease Using Transfer Learning and Binary Advanced Dipper Throated Optimization Algorithm

Authors: Alharbi, Amal H Towfek, SK Abdelhamid, Abdelaziz A et al.

Source: Biomimetics. 8(3)

Subject Terms: 4605 Data Management and Data Science (for-2020), 46 Information and Computing Sciences (for-2020), 4611 Machine Learning (for-2020), Infectious Diseases (rcdc), Emerging Infectious Diseases (rcdc), Machine Learning and Artificial Intelligence (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), biological mechanism, monkeypox detection, deep learning, transfer learning, feature selection, dipper throated optimization, biological mechanism, deep learning, dipper throated optimization, feature selection, monkeypox detection, transfer learning

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/4n31w1cx
https://escholarship.org/content/qt4n31w1cx/qt4n31w1cx.pdf

Precision Unveiled in Unborn: A Cutting-Edge Hybrid Machine Learning Approach for Fetal Health State Classification.

Authors: Prachi Sabherwal P Agrawal M et al.

Source: Cardiovascular engineering and technology [Cardiovasc Eng Technol] 2025 Dec; Vol. 16 (6), pp. 641-662. Date of Electronic Publication: 2025 Aug 27.

Publication Type: Journal Article

Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101531846 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-4098 (Electronic) Linking ISSN: 1869408X NLM ISO Abbreviation: Cardiovasc Eng Technol Subsets: MEDLINE

MeSH Terms: Machine Learning* , Heart Rate, Fetal* , Electrocardiography* , Fetal Monitoring*/methods , Signal Processing, Computer-Assisted* , Cardiotocography* , Deep Learning* , Heart Defects, Congenital*/physiopathology , Heart Defects, Congenital*/diagnosis , Fetal Heart*/physiopathology, Humans ; Pregnancy ; Female ; Predictive Value of Tests ; Reproducibility of Results

Advances in Machine Learning Models for Healthcare Applications: A Precise and Patient-Centric Approach.

Authors: Parashar B Sridhar SB Kalpana et al.

Source: Current pharmaceutical design [Curr Pharm Des] 2025; Vol. 31 (28), pp. 2240-2251.

Publication Type: Journal Article; Review

Journal Info: Publisher: Bentham Science Publishers Country of Publication: United Arab Emirates NLM ID: 9602487 Publication Model: Print Cited Medium: Internet ISSN: 1873-4286 (Electronic) Linking ISSN: 13816128 NLM ISO Abbreviation: Curr Pharm Des Subsets: MEDLINE

MeSH Terms: Machine Learning* , COVID-19*/diagnosis , COVID-19*/epidemiology , Delivery of Health Care* , Patient-Centered Care*, Humans ; Algorithms ; SARS-CoV-2 ; Pandemics

A review on advancements in feature selection and feature extraction for high-dimensional NGS data analysis.

Authors: Borah K Das HS Seth S et al.

Source: Functional & integrative genomics [Funct Integr Genomics] 2024 Aug 19; Vol. 24 (5), pp. 139. Date of Electronic Publication: 2024 Aug 19.

Publication Type: Journal Article; Review

Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 100939343 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-7948 (Electronic) Linking ISSN: 1438793X NLM ISO Abbreviation: Funct Integr Genomics Subsets: MEDLINE

MeSH Terms: High-Throughput Nucleotide Sequencing*/methods , Machine Learning*, Humans ; Deep Learning

A Review of Machine Learning Algorithms for Biomedical Applications.

Authors: Binson VA Thomas S Subramoniam M et al.

Source: Annals of biomedical engineering [Ann Biomed Eng] 2024 May; Vol. 52 (5), pp. 1159-1183. Date of Electronic Publication: 2024 Feb 21.

Publication Type: Journal Article; Review

Journal Info: Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 0361512 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-9686 (Electronic) Linking ISSN: 00906964 NLM ISO Abbreviation: Ann Biomed Eng Subsets: MEDLINE

MeSH Terms: Algorithms* , Machine Learning*, Humans ; Neural Networks, Computer ; Support Vector Machine

An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case.

Authors: Singh, Law Kumar Khanna, Munish Singh, Rekha

Source: Multimedia Tools & Applications; Sep2024, Vol. 83 Issue 31, p76607-76672, 66p

Subject Terms: COMPUTER-aided diagnosis, OPTIMIZATION algorithms, FEATURE selection, METAHEURISTIC algorithms, MEDICAL personnel

Integrated Data-Driven Framework for Forecasting Tight Gas Production Based on Machine Learning Algorithms, Feature Selection and Fracturing Optimization.

Authors: Yao, Fuyu Hui, Gang Meng, Dewei et al.

Source: Processes; Apr2025, Vol. 13 Issue 4, p1162, 23p

Subject Terms: MACHINE learning, YOUNG'S modulus, DECISION making in investments, FEATURE selection, FLUID injection

Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review.

Authors: Paz, Álex Crawford, Broderick Monfroy, Eric et al.

Source: Biomimetics (2313-7673); May2025, Vol. 10 Issue 5, p326, 46p

Subject Terms: CREDIT analysis, CREDIT risk, MACHINE learning, METAHEURISTIC algorithms, PARTICLE swarm optimization, BIOLOGICALLY inspired computing

A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms.

Authors: Karna, Vishnu Vardhana Reddy Karna, Viswavardhan Reddy Janamala, Varaprasad et al.

Source: Archives of Computational Methods in Engineering; Apr2025, Vol. 32 Issue 3, p1763-1795, 33p

Identification of population‐informative markers from high‐density genotyping data through combined feature selection and machine learning algorithms: Application to European autochthonous and cosmopolitan pig breeds.

Authors: Schiavo, Giuseppina Bertolini, Francesca Bovo, Samuele et al.

Source: Animal Genetics. Apr2024, Vol. 55 Issue 2, p193-205. 13p.

Leveraging sparrow search optimization with deep learning-based cybersecurity detection in industrial internet of things environment.

Authors: Alrayes, Fatma S. Nemri, Nadhem Mansouri, Wahida et al.

Source: Alexandria Engineering Journal. May2025, Vol. 121, p128-137. 10p.

Subject Terms: Computer network traffic, Optimization algorithms, Search algorithms, Internet of things, Feature selection, Intrusion detection systems (Computer security)

Methodological considerations for optimal variable selection in machine learning for health services research.

Authors: Dong, Weichuan Lal, Trisha Liu, Fangzhou et al.

Source: Health Services & Outcomes Research Methodology. Dec2025, Vol. 25 Issue 4, p474-486. 13p.

Subject Terms: *DECISION making, *REGRESSION analysis, MEDICAL care research, MATHEMATICAL variables, PREDICTIVE tests, STATISTICAL models, SOCIAL determinants of health, RESEARCH methodology, MACHINE learning, HEALTH equity, FACTOR analysis

Diffuse glioma tumor subtype classification using CliRad (clinical + radiomics) features.

Authors: Verma, Priyanka Kulkarni, Vaishali Dasgupta, Archya et al.

Source: Egyptian Journal of Radiology & Nuclear Medicine. Dec2025, Vol. 56 Issue 1, p1-10. 10p.

A Systematic Literature Review on Machine Learning in Healthcare Prediction.

Authors: Ahmad Sukri, Nur Farah Afifah Fazamin Wan Hamzah, Wan Mohd Amir Yusof, Mohd Kamir et al.

Source: International Journal of Online & Biomedical Engineering. 2025, Vol. 21 Issue 6, p155-177. 23p.

Subject Terms: Feature selection, Technological innovations, Prediction models, Data analytics, Scalability, Machine learning