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361
Venturing Into the Unknown: The Importance of Variable Selection When Modelling Alien Species Under Non‐Analogue Climatic Conditions
Published 2024-10-01“…Here, we tested the assumption that this aspect of model design is a major source of uncertainty, especially when projections are made to non‐analogue climates. …”
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Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data
Published 2025-07-01“…Classifying such data presents inherent challenges due to multi-source information, temporal dynamics, and class imbalance. …”
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364
ChiMSource improves the accuracy of studies on novel amino acid sequences by predicting alternative sources of mass spectrometry-derived peptides
Published 2025-01-01“…Here, we present a highly flexible program that predicts alternative chimeric and non-chimeric sources of peptides detected by MS proteomics.…”
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Phage display of cDNA libraries: enrichment of cDNA expression using open reading frame selection
Published 2004-06-01“…The high level of cDNA expression obtained by ORF selection suggests that ORF-enriched phage cDNA libraries prepared by these methods will be useful as functional genomics tools for identifying natural ligands from various source tissues.…”
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An optimization method of multiscale storage tank target detection introducing an attention mechanism
Published 2024-01-01“…As containers for chemical storage, storage tanks are potential sources of hazards. Conducting target detection for hazard risk analysis is essential. …”
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369
A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection.
Published 2011-09-01“…Two of the three hit regions lie within haplotype blocks (at 2p13.1 and 10q24.2) that carry the genetic signature of strong, recent, positive selection in European populations. Genes NAT8 and PYROXD2, both with relatively uncharacterized functional roles, are good candidates for mediating the corresponding mQTL associations. …”
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370
Metal and metal oxide nanomaterials for heavy metal remediation: novel approaches for selective, regenerative, and scalable water treatment
Published 2024-10-01“…The review identifies several promising nanomaterials, such as graphene oxide, carbon nanotubes, and metal-organic frameworks, which exhibit high surface areas, tunable surface chemistries, and excellent adsorption capacities. Surface functionalization with specific functional groups (e.g., carboxyl, amino, thiol) significantly enhances the selectivity for target heavy metal ions. …”
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371
Optimization of Protein Extraction from Sunflower Meal Using Taguchi Design and Regression Modeling for Human Nutrition Applications
Published 2025-07-01“…Safety analyses confirmed the absence of detectable aflatoxins and very low PAH levels. These results support the use of sunflower protein concentrate as a sustainable, nutritionally valuable, and safe ingredient for functional food applications. …”
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372
Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification
Published 2024-01-01“…Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of transportation. They function by converting electrical energy into mechanical energy using different types of motors, which aligns with the sustainable principles embraced by smart cities. …”
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373
Multi-Person Fall Detection Using Data Assimilation Method With Kalman Filter
Published 2025-01-01“…Fall detection is an essential technology for ensuring the safety of elderly individuals, as falling accidents are critical and can cause significant functional damage in old age. …”
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374
Review of Fault Detection and Diagnosis Methods in Power Plants: Algorithms, Architectures, and Trends
Published 2025-06-01“…Key findings are summarized in a comparative matrix, highlighting trends, gaps, and inconsistencies across publication sources. This review identifies critical research gaps—including the underuse of hybrid models, lack of benchmark datasets, and limited integration between detection and control layers—and offers concrete recommendations for future research. …”
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375
Social Network Community Detection by Combining Self-Organizing Maps and Genetic Algorithms
Published 2021-01-01“…To this end, many research works in the literature offer users some tools that can help them take advantage of this mine of information. Community detection is one of these tools and aims to detect a set of entities that share some features within a social network. …”
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376
A study devoted to the design of a special nozzle with multiple functions
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377
Detection of Elementary White Mucosal Lesions by an AI System: A Pilot Study
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378
Application of VGG16 in Automated Detection of Bone Fractures in X-Ray Images
Published 2025-02-01“…The training and testing phases utilized an 80:20 split of the data, employing binary cross-entropy as the loss function and the Adam optimizer for efficient weight updates. …”
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379
Video Analysis and Frame Prediction Based on Improved Object Detection and ConvGRU
Published 2025-01-01“…The loss function and average accuracy mean have been improved, with a maximum detection accuracy of 0.947. …”
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380
Automatic detection of floating instream large wood in videos using deep learning
Published 2025-02-01“…Therefore, the findings of this paper could be used when designing a custom wood detection network. With the growing availability of flood-related videos featuring wood uploaded to the internet, this methodology facilitates the quantification of wood transport across a wide variety of data sources.…”
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