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801
Progress and trends on machine learning in proteomics during 1997-2024: a bibliometric analysis
Published 2025-08-01“…Thematic clustering revealed key research foci, including deep learning algorithms, protein–protein interaction prediction, and integrative multi-omics analysis. …”
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802
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803
Human-based metaheuristics and non-parametric learning for groundwater-prone area mapping
Published 2025-12-01“…This study addresses these challenges by integrating human-inspired metaheuristics with non-parametric machine-learning techniques to enhance groundwater potential prediction. This research introduces a novel approach combining human-based metaheuristics—Teaching Learning Based Optimization (TLBO) and Cultural Algorithms (CA)—with non-parametric Decision Tree (DT) models. …”
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804
An integrated machine learning and fractional calculus approach to predicting diabetes risk in women
Published 2025-12-01“…We employ seven machine learning algorithms: Decision Tree, Logistic Regression, Support Vector Machine (SVM), Random Forest, Bagged Trees, Naive Bayes, and XGBoost, to identify key risk factors, with XGBoost demonstrating higher performance. …”
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805
Aspects of Developing A Methodology for Managing Digital Financial Assets
Published 2023-09-01“…In accordance with the scientific novelty of the research and methodology, a set of interrelated research stages is formed, consisting of an ordered cascade of methods, models and algorithms that perform preliminary analysis, processing and forecasting of financial time series of value indicators.Conclusion. …”
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806
Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning
Published 2025-01-01“…However, in general, the performance of machine learning in recognising patterns is proportional to the size of the dataset. …”
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807
The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure
Published 2025-06-01“…Research in spatial epidemiology relies on both conventional approaches and Machine- Learning (ML) algorithms to explore geographic patterns of diseases and identify influential factors (Pfeiffer & Stevens, 2015). …”
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808
AI-Driven Belt Failure Prediction and Prescriptive Maintenance with Motor Current Signature Analysis
Published 2025-06-01“…The incorporation of LSTM networks and swarm intelligence algorithms led to a significant improvement in predictive capabilities, allowing for the early detection of degradation patterns and timely intervention. …”
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809
Decoding bacterial methylomes in four public health-relevant microbial species: nanopore sequencing enables reproducible analysis of DNA modifications
Published 2025-04-01“…We investigated distinct methylation patterns within and between species, focusing on heavily modified genes or genomic regions. …”
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810
Learning from Octopuses: Cutting-Edge Developments and Future Directions
Published 2025-04-01“…This paper reviews the research progress of bionic soft robot technology learned from octopuses. …”
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811
Deciphering the impact of intra-tumoral bacterial infiltration on multi-omics profiles in low-grade gliomas
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812
The Impact of AI-Driven Application Programming Interfaces (APIs) on Educational Information Management
Published 2025-06-01“…However, the review also identifies concerns about privacy, algorithmic bias, and limited methodological rigor in existing research. …”
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813
EDITORIAL: ARTIFICIAL INTELLIGENCE AND ITS TRANSFORMATIVE IMPACT ON SCIENTIFIC PUBLISHING
Published 2025-03-01“…AI-based recommendation platforms such as Semantic Scholar and Scite simplify scientists' ability to locate pertinent literature by analyzing citation patterns and trend research. Open-access journals also leverage AI to increase content published therein and make it more accessible and readable to audiences, thereby democratizing knowledge dissemination. …”
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814
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815
Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment f...
Published 2025-06-01“…The primary outcome will be the development of machine-learning algorithms to predict depression and anxiety based on these digital biomarkers. …”
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816
Mapping Gridded GDP Distribution of China Based on Remote Sensing Data and Machine Learning Methods
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817
Neutrino interaction vertex reconstruction in DUNE with Pandora deep learning
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818
Spatiotemporal Analysis of Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance
Published 2025-02-01“…Additionally, we introduce trellis charts for integrated visualization and analysis of combined spatiotemporal patterns. This research builds on a case study developed in a previous case study of multi-UAV PSR-STA. …”
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819
Optimisation tools for meeting nutrient requirements of Indian children and adults at optimal cost
Published 2025-01-01Get full text
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820
Application of deep learning in malware detection: a review
Published 2025-04-01“…There is an urgent need to adopt advanced tools for early detection of malware and its variants to help researchers take early steps to defend against it. Its broad approach will help the early malware to detect and identify the behavioral patterns of large amounts of malicious data, and the discipline of artificial intelligence offers broad research potential. …”
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