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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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48 results for West Africa

LEMPS predicts malaria prevalence with high accuracy in Ibadan, West Africa.

problem Inadequate malaria prediction systems in highly endemic countries.
method Developed and validated a Locality-specific Elastic-Net based Malaria Prediction System (LEMPS) using 22-years of prospective data.
result LEMPS achieves good generalization performance, predicting monthly prevalence with MAE<=6x10-2 and MSE<=7x10-3.

The paper improves marine buoy placement to detect ships robustly against disruptions.

problem Detecting fishing vessels in the presence of natural and man-made disruptions.
method Formulated as a clustering problem, used dropout k-means and k-median to improve buoy placement robustness.
result Improved ship detection probability with dropout k-means compared to classic methods.

West Frisian lemmatizer, POS tagger, and parser created.

problem Creating accurate lemmatization, POS tagging, and dependency parsing for West Frisian.
method Using a corpus of 44,714 words annotated according to Universal Dependency version 2. Applying Dutch POS tags and morphological/syntactic annotations to create Frisian translations.
result Significant improvement in lemma accuracy compared to default parameters.

WEST uses EHRs and expert cases to improve rare disease phenotyping.

problem Limited labeled data for rare diseases.
method Weakly supervised transformer model trained on probabilistic silver-standard labels.
result WEST outperforms existing methods in phenotype classification and subphenotyping.

EcoCast predicts biodiversity risks using satellite data and citizen science records.

problem Unprecedented shifts in species distributions due to climate change and habitat loss.
method Spatio-temporal model using sequence-based transformers and continual learning.
result Promising improvements in forecasting bird species distributions compared to Random Forest.

One of the fundamental postulates of the Unified Growth Theory is the claimed existence of three distinctly different regimes of economic growth governed by three distinctly different mechanisms of growth. However, Galor also proposed that the timing of these regimes is different for developed countries and for less-de…

2015-12-10abs ↗pdf ↗

We analyze the quarterly average sale prices of new houses sold in the USA as a whole, in the northeast, midwest, south, and west of the USA, in each of the 50 states and the District of Columbia of the USA, to determine whether they have grown faster-than-exponential which we take as the diagnostic of a bubble. We fin…

2005-06-03abs ↗pdf ↗

Machine learning predicts seasonal precipitation for East Africa.

problem Predicting seasonal precipitation for East Africa using machine learning.
method Dimension reduction via EOFs, large-scale climate variability indices as features, interpretable ML algorithm.
result The ML approach shows significant positive skill in predicting precipitation for OND season, comparable to ECMWF forecasts.

Twitter has provided a great opportunity for public libraries to disseminate information for a variety of purposes. Twitter data have been applied in different domains such as health, politics, and history. There are thousands of public libraries in the US, but no study has yet investigated the content of their social …

2018-08-17abs ↗pdf ↗

Optimizes QoS in FSO links over South Africa using ensemble learning.

problem Impact of weather on QoS in FSO links.
method Ensemble learning models (Random Forest, ADaBoost Regression, Stacking Regression, Gradient Boost Regression, Multilayer Neural Network) applied to meteorological data.
result Significant enhancement in QoS with RMSE and R-squared values of 0.0032 and 0.9906 respectively at George.

A new model predicts wind speed using multiple meteorological variables.

problem Precise wind speed forecasting for wind power producers and grid operators.
method Multi-variable Stacked Long Short-Term Memory (LSTM) network.
result The proposed MSLSTM model outperforms traditional methods in wind speed prediction.

TinyBayes detects crop diseases from images on edge devices with high accuracy and minimal resources.

problem Automated disease detection for cocoa crops in resource-constrained settings.
method Combines YOLOv8-Nano for lesion localisation, MobileNetV3-Small for feature extraction, and Jacobi prior for Bayesian classification.
result Achieves 78.7% accuracy on Amini Cocoa Contamination Challenge dataset with 9.5 MB model size and 150 ms inference time.

SAGDA generates synthetic agricultural datasets to improve ML in African farming.

problem Data scarcity in African agriculture limits machine learning innovations.
method SAGDA is an open-source Python toolkit that generates, augments, and validates synthetic agricultural datasets.
result SAGDA enhances ML applications in agriculture, such as yield prediction and fertilizer recommendation.

Satellite imagery helps adjust for unobserved confounders in observational studies.

problem Adjusting for confounding factors in observational studies with non-tabular data like satellite imagery.
method Formalizing conditions for causal effect identification, estimation, and sensitivity analysis.
result Demonstrated the use of satellite imagery as a proxy for unobserved confounders in anti-poverty aid programs.

What are East Africa's industrial opportunities? In this article we explore this question by using the Product Space to study the productive structure of five south-east African countries: Kenya, Mozambique, Rwanda, Tanzania and Zambia. The Product Space is a network connecting products that tend to be exported by the …

2012-03-01abs ↗pdf ↗

THEOREM. For every prime pp and each n=2,3,...n=2, 3, ... \infty, there is an action of G=i=1(Z/pZ)G=\prod_{i=1}^{\infty}(Z/ pZ) on a two-dimensional compact metric space XX with nn-dimensional orbit space. This theorem was proved in [DW: A.N. Dranishnikov and J.E. West, Compact group actions that raise dimension to infinity, Topol…

2002-12-23abs ↗pdf ↗

In this paper, we discuss the impact of some mortality data anomalies on an internal model capturing longevity risk in the Solvency 2 framework. In particular, we are concerned with abnormal cohort effects such as those for generations 1919 and 1920, for which the period tables provided by the Human Mortality Database …

2018-03-01abs ↗pdf ↗

Derives a size premium from automated market makers in decentralized AI subnets.

problem Determining the profitability and risk of decentralized AI subnets.
method Analyzes daily data on 128 subnets, tests the size premium, and calculates transaction costs.
result The size premium is reduced by a halving of token emissions but remains profitable only below a certain asset threshold.

Paper aims to improve education online in South Africa using NMT for Setswana.

problem Inclusion of machine translation for low-resourced local languages in online education.
method Demonstrates state-of-the-art performance on English-to-Setswana translation using the Transformer architecture.
result Current NMT techniques show promise for African languages, beating previous methods by 5.33 BLEU points.

A singular Riemannian foliation FF on a complete Riemannian manifold MM is called a polar foliation if, for each regular point pp, there is an immersed submanifold ΣΣ, called section, that passes through pp and that meets all the leaves and always perpendicularly. A typical example of a polar foliation is the part…

2011-02-04abs ↗pdf ↗

We present our first efforts in building an automatic speech recognition system for Somali, an under-resourced language, using 1.57 hrs of annotated speech for acoustic model training. The system is part of an ongoing effort by the United Nations (UN) to implement keyword spotting systems supporting humanitarian relief…

2018-07-23abs ↗pdf ↗

Effective utilization of photovoltaic (PV) plants requires weather variability robust global solar radiation (GSR) forecasting models. Random weather turbulence phenomena coupled with assumptions of clear sky model as suggested by Hottel pose significant challenges to parametric & non-parametric models in GSR conversio…

2017-11-22abs ↗pdf ↗

Neural machine translation models trained for 5 South African languages.

problem Lack of resources and research for machine translation in African languages.
method Training neural machine translation models for 5 South African languages using modern techniques.
result Promises of neural machine translation for African languages.

In 1969 M. Gromov in his PhD thesis greatly generalized Smale-Hirsch-Phillips immersion-submersion theory by proving what is now called the h-principle for invariant open differential relations over open manifolds. Gromov extracted the original geometric idea of Smale and put it to work in the maximal possible generali…

2001-01-23abs ↗pdf ↗

Examines how central bank policies affect stock markets and asset prices.

problem Understanding the impact of monetary policy on stock markets and asset prices.
method Used Taylor rule equations to analyze data from 1990 to 2020 for US and UK, testing with various econometric methods.
result Monetary policy can explain asset price volatility and output gap better than just inflation rate.

Paper presents a new algorithm for predicting crop yield across fields.

problem Predicting within-field spatial variability of crop yield in complex environments.
method Spatial-temporal Multi-Task Learning algorithm integrating multiple data sources.
result Algorithm outperforms conventional methods in predicting crop yield.

The study uses equity order flow to forecast stock returns and resolves the liquidity premium puzzle.

problem The liquidity premium and its relation to investment horizons.
method Directly estimated Kyle's price-impact coefficient λ from daily equity order flow data.
result Signed order flow predicts stock returns, with volume volatility predicting lower returns.