R Research Papers

Approaches to Human Geography

Introducing key theories and issues in the field of human geography, this text provides a systematic overview of some of the fundamental concepts that underpin critical thinking in the field...

A Dictionary of Human Geography

A Dictionary of Human Geography is a brand new addition to Oxford's Paperback Reference Series, offering over 2,000 clear and concise entries on human geography terms. From basic terms and concepts to biographical entries, acronyms, organis...

Dictionary of Human Geography

The Dictionary of human geography

Progress in Human Geography?

The possibility of progress - especially with a capital 'P' - is a question that has troubled philosophers, historians and social schemers for centuries. It also has a range of profoundly political dimensions. In David Livingstone's (2006b)...

Human geography today

Notes on Contributors. Preface. Part I The 'Nature' of Human Geography: . 1. Issues and Debates: Doreen Massey. Hybrid Geographies: rethinking the 'human' in human geography: Sarah Whatmore. Part II: Imaginative Geographies. Introduction. 3...

The Dictionary of Human Geography

Preface to the Fifth Edition. How to Use this Dictionary. Acknowledgements. List of Contributors. The Dictionary. Index...

International Encyclopedia of Human Geography

Practising Human Geography

This work provides a critical introduction to recent disciplinary debates about the practice of human geography examining those methods and practices which are integral to doing geography...

Estimating the Intensity Equations for Rain Intensity Frequency Curves (Mosul /Iraq)

The relationship between the rainfall intensity, duration, and frequency (IDF) is widely used in water resources engineering in designing hydraulic structures, such as culverts and sewage systems, and for reducing and controlling floods. In...

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...

A SAM2 and VLM-Based Automatic Radiological Reporting System for Pneumothorax Detection

Background/Objectives: Pneumothorax, caused by air accumulation in the pleural space, can lead to lung collapse and, if diagnosis is delayed, respiratory or cardiovascular deterioration. Most deep-learning studies on pneumothorax address cl...

Towards a new software quality model for evaluation the quality of gamified systems

Due to the emergence of the Gamification concept in various domains, this article studies how to improve the quality of gamified systems with the software engineering discipline. Recent studies have shown a significant gap between design fr...

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 ...

Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques

Abstract This study addresses the significant issue of rapid land use and land cover (LULC) changes in Lahore District, which is critical for supporting ecological management and sustainable land-use planning. Understanding these changes is...

Collaborative Filtering Recommendation Algorithm Based on Semi-Autoencoder

To effectively use the user-item interaction history and auxiliary information in recommendation systems,this paper proposes an improved collaborative filtering recommendation algorithm.Based on semi-autoencoder,the features of auxiliary in...

Large-scale screening of high-entropy materials for superionic solid electrolytes

Abstract Solid electrolytes have emerged as a promising alternative to conventional liquid electrolytes that have posed safety concerns. However, the relatively low ionic conductivity of solid electrolytes is one of the challenges for their...

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...