The weather and climate science AI revolution isn’t revolutionary

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...
eLife

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.
IEEE

A Multimodal Data Fusion and Deep Neural Networks Based Technique for Tea Yield Estimation in Pakistan Using Satellite Imagery

Abstract: Achieving food security has become a major challenge for society. Crop yield estimation is essential for crop monitoring to ensure food security. Manual crop yield estimation is cumbersome ...
IEEE

A Kalman Filter Based Low Complexity Throughput Prediction Algorithm for 5G Cellular Networks

Abstract: Throughput Prediction is one of the primary preconditions for the uninterrupted operation of several network-aware mobile applications, namely video streaming. Recent works have advocated ...
Nature

What are decision trees?

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
Thorax

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
GitHub

A robust and fast clustering method for amplicon-based studies.

The purpose of swarm is to provide a novel clustering algorithm that handles massive sets of amplicons. Results of traditional clustering algorithms are strongly input-order dependent, and rely on an ...
Frontiers

Quality of Life Improvement: Smart Approaches for the Working and Aging Populations

Quality of life (QoL) is a broad concept that has many definitions and meanings depending on the context under consideration. It can be perceived as the overall enjoyment of life, and a ...
gut.bmj

Landscape screening identifies the lactate-modifying enzyme AARS2 as a master regulator and therapeutic target in hepatocellular carcinoma

Background Hepatocellular carcinoma (HCC), one of the most prevalent cancers worldwide, has a high mortality owing to diagnostic challenges and therapeutic resistance. Lactate metabolism and protein ...
GitHub

neetika6/Machine-Learning-Model-for-Weather-Forecasting

Purpose of this project is to predict the temperature using different algorithms like linear regression, random forest regression, and Decision tree regression. The output value should be numerically ...