Academic Articles & Research Papers

From detections to demography: methodological challenges and opportunities in survival estimation from automated telemetry networks.

How transport coverage shapes access to opportunities: a national-scale isochrone analysis of bus network accessibility in England.

Human Geography: People, Place, and Culture

1 Introduction to Human Geography 2 Population 3 Migration 4 Local Culture, Popular Culture, and Cultural Landscapes 5 Identity: Race, Ethnicity, Gender and Sexuality 6 Language 7 Religion 8 Political Geography 9 Urban Geography 10 Developm...

Latvian Migrants’ Circular or Permanent Migration to Norway: 'Economic and Social Factors'

This article analyses migration decisions and labour market manoeuvring of Latvian migrants to Norway, as well as the economic and social conditions that influence their choices. How do they adapt to the labour market in Norway? Do they pra...

Uncovering the spatiotemporal evolution of the service industry based on geo-big-data- a case study on the bath industry in China

Abstract The bath industry has multiple attributes, such as economic, health, and cultural communication. Therefore, exploring this industry's spatial pattern evolution is crucial to forming a healthy and balanced development model. Based o...

Human geography without scale

The concept of scale in human geography has been profoundly transformed over the past 20 years. And yet, despite the insights that both empirical and theoretical research on scale have generated, there is today no consensus on what is meant...

Optimization Method for Classifier Output Repeatability Based on Siamese Networks

In industrial surface Quality Control (QC) scenarios, deep classification neural networks are widely used to classify product images for qualified judgment or quality grading. However, surface QC equipment equipped with deep classification ...

Modular multi-fidelity simulation framework for advanced sail-driven spacecraft control and dynamics in perturbation-rich regimes

This work presents a high-fidelity Software-in-the-Loop (SIL) simulation framework for the development and validation of control strategies for sail-driven spacecraft operating in Low Earth Orbit (LEO). The framework integrates NVIDIA Omniv...

Vehicle detection in drone aerial views based on lightweight OSD-YOLOv10

Abstract To address the challenges of low performance in vehicle image detection from UAV aerial imagery, difficulties in small target feature extraction, and the large parameter size of existing models, we propose the OSD-YOLOv10 algorithm...

Identification and structural analysis of the interactional effect of the change drivers on the field of education

Due to its wide range and importance, the education system has very important and complex elements that if we neglect to monitor their future variations, it can lead to undeniable and profound damages to the results that are expected to be ...

Optimal pre-train/fine-tune strategies for accurate material property predictions

Abstract A pathway to overcome limited data availability in materials science is to use the framework of transfer learning, where a pre-trained (PT) machine learning model (on a larger dataset) can be fine-tuned (FT) on a target (smaller) d...

High Performance IoT Cloud Computing Framework Using Pub/Sub Techniques

The Internet of Things is attracting attention as a solution to rural sustainability crises, such as slowing income, exports, and growth rates due to the aging of industries. To develop a high-performance IoT platform, we designed and imple...

Topical Text Network Construction Method Based on Gibbs Sampling Results

Mining the probability distribution of topic words in document collection can make a summary understanding of the document content.Further exploring the connection relationship between words in a given topic not only riches the meaning of t...

A deep learning recognition model for landslide terrain based on multi-source data fusion

The traditional high-level remote landslide recognition efficiency which relies on the artificial discrimination of geological experts is low. In this paper, an automatic landslide terrain recognition model based on deep learning is develop...

Non-Motorized License Plate Recognition and Localization Method Based on Semantic Alignment and Hierarchical Optimization

Holding non-motorized vehicles accountable for legal violations effectively enhances urban traffic safety. Non-motorized vehicle license plates are characterized by small size, dense distribution, and ease of being obscured, which leads to ...

A Novel Construction Method of Bayesian Neural Networks Based on Multi-type Engineering Knowledge

Abstract In the field of engineering, the utilization of surrogate models to replace computationally intensive simulation software has become a widely adopted approach. However, when addressing complex engineering problems, the costs of sim...

Field-Aware Click-Through Rate Prediction Model Based on Attention Mechanism

Click-Through Rate(CTR) prediction is one of the most important tools for ad placement.Predicting the CTR of an ad and making recommendations to users can increase ad revenue.Field-aware click-through rate prediction models are superior to ...

Music Genre Recommendations Based on Spectrogram Analysis Using Convolutional Neural Network Algorithm with RESNET-50 and VGG-16 Architecture

Recommendations are a very useful tool in many industries. Recommendations provide the best selection of what the user wants and provide satisfaction compared to ordinary searches. In the music industry, recommendations are used to provide ...

Calibration of Microscopic Traffic Simulation in an Urban Environment Using GPS-Data

Accurate traffic models are of decisive importance for well-founded traffic engineering and represent the basic framework for comprehensive simulation studies as modelling of traffic demand. Using traffic count and speed measurements of roa...

BP Neural Network–Based Kalman Filtering Method Under Multiple Cyberattacks

This paper proposes a Kalman-gain-driven neural Kalman filtering (KF) defense framework, termed KFDBP, for secure state estimation in cyber–physical systems (CPSs) under denial-of-service (DoS), spoofing, and replay attacks. Unlike end-to-e...