-
101
An integrative review of the combined use of mathematical and statistical models for estimating malaria transmission parameters
Published 2025-05-01“…Abstract Background Characterizing malaria burden and its evolution is complicated by the high levels of spatio-temporal heterogeneity and by the complexity of the transmission process. Main body This manuscript presents an integrative review of the combined use of mathematical and statistical models to estimate malaria transmission parameters. …”
Get full text
Article -
102
An Autonomous Drone for Avalanche Search and Rescue: Integrating ArduPilot and Tracking-Beacon Detection
Published 2025-01-01“…Utilising a hexacopter equipped with the CubePilot flight controller and integrated with a Raspberry Pi onboard computer, our system uniquely combines ArduPilot’s precise navigation capabilities and GNU Radio’s sophisticated signal processing techniques to detect avalanche transceiver signals swiftly and accurately. …”
Get full text
Article -
103
Using Data-Driven and Process Mining Techniques for Identifying and Characterizing Problem Gamblers in New Zealand
Published 2016-12-01“…This research uniquely integrates a mixture of process mining, data mining and confirmatory statistical techniques in order to categorise different sub-groups of gamblers, with the explicit motivation of identifying problem gambling behaviours and reporting on the challenges and lessons learned from our case study. …”
Get full text
Article -
104
Research on deep learning model for stock prediction by integrating frequency domain and time series features
Published 2025-08-01“…The StockMixer with ATFNet model proposed in this paper integrates both time-domain and frequency-domain features. …”
Get full text
Article -
105
The Global Element Method for Three- Dimensional Potential Problems
Published 2025-01-01“…Conventional methods typically require discretizing the boundary into numerous local elements to approximate boundary functions, whereas the GEM adopts a novel strategy: it selects the largest possible portion of the boundary as the integration element, thereby avoiding the cumbersome discretization process. …”
Get full text
Article -
106
Comprehensive protein datasets and benchmarking for liquid–liquid phase separation studies
Published 2025-07-01“…Additionally, there is a lack of consensus on selecting proteins without explicit experimental association with condensates under physiological conditions (non-LLPS proteins or negative proteins). …”
Get full text
Article -
107
A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants.
Published 2010-08-01“…<h4>Conclusions/significance</h4>The approach makes possible the integrative inference of crop dispersal processes, while controlling model complexity and computational requirements.…”
Get full text
Article -
108
Semantic Schema Extraction in NoSQL Databases using BERT Embeddings
Published 2024-12-01Get full text
Article -
109
Blended Phonetic Training with HVPT Features for EFL Children: Effects on L2 Perception and Listening Comprehension
Published 2025-05-01“…Findings underscore the importance of integrating explicit phonetic instruction with HVPT to enhance L2 listening skills among EFL learners.…”
Get full text
Article -
110
-
111
Hybrid A*-Guided Model Predictive Path Integral Control for Robust Navigation in Rough Terrains
Published 2025-02-01“…These computed paths are then used to define the mean control input for the MPPI algorithm, which performs localized optimization while adhering to the terrain-aware trajectory. By integrating terrain-aware guidance through the Hybrid A* algorithm with the MPPI, the proposed methodology automates the selection of the appropriate mean control input and enhances control performance by explicitly incorporating terrain properties into the planning process. …”
Get full text
Article -
112
-
113
Novel Hybrid Function Operational Matrices of Fractional Integration: An Application for Solving Multi-Order Fractional Differential Equations
Published 2025-05-01“…A generalized one-shot operational matrix was derived to explicitly express the Riemann–Liouville fractional integral of HFs in terms of the HFs themselves. …”
Get full text
Article -
114
Pre-service mathematics teachers' modelling processes within model eliciting activity through digital technologies
Published 2025-06-01“…However, challenges included overreliance on technological outputs, limiting critical evaluation and validation of models, and difficulties in transferring mathematical content knowledge to the modelling process. These results highlight the need for explicit instructional support in teacher education programs to enhance PSTs' critical engagement with digital tools and strengthen their ability to integrate mathematical knowledge in real-world problem-solving.…”
Get full text
Article -
115
Contextual video analytics and recommendations through natural language processing (NLP) and graph machine learning (GML)
Published 2025-07-01“…This research paper explores an innovative approach to video recommender systems by integrating Natural Language Processing (NLP) techniques, graph databases, and advanced analytics. …”
Get full text
Article -
116
Distorted time window for sensorimotor integration and preserved time window for sense of agency in patients with post-stroke limb apraxia
Published 2025-06-01“…These findings suggest that while apraxic patients exhibit deficits in sensorimotor integration, their explicit SoA remains preserved. This dissociation supports the notion that explicit SoA may be maintained through compensatory cognitive processes despite impairments at the sensorimotor level. …”
Get full text
Article -
117
-
118
Modeling of Bending Non-Isothermal Viscoelasticviscoplastic Dynamic Deformation of Shallow Reinforced Shells. Part 1. Problem Formulation and Solution Method
Published 2025-06-01“…The mechanical component of the dynamic problem is integrated using a “cross” type scheme on a three-point template in time; the thermal-physical component is integrated using an explicit scheme on a two-point template in time. …”
Get full text
Article -
119
-
120
Integrating the Prior Shape Knowledge Into Deep Model and Feature Fusion for Topologically Effective Brain Tumor Segmentation
Published 2025-01-01“…However, deep learning models prioritize either local or global features, failing to adequately capture topological features or integrate prior shape knowledge. Deep learning techniques totally rely on the loss function optimization and due to the lack of explicit form of prior knowledge, they may struggle to generate the accurate tumor shapes. …”
Get full text
Article