Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression Recognition
SpectralGPT: Spectral Remote Sensing Foundation Model
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Rethinking the Effectiveness of Objective Evaluation Metrics in Multi-Focus Image Fusion: A Statistic-Based Approach
Vision-Language Models for Vision Tasks: A Survey
A Comprehensive Survey on Source-Free Domain Adaptation
A Review on Weighting Factor Design of Finite Control Set Model Predictive Control Strategies for AC Electric Drives
Vulnerability Detection via Multiple-Graph-Based Code Representation
Integrated Sensing and Communication With Massive MIMO: A Unified Tensor Approach for Channel and Target Parameter Estimation
Investigation and Care of a Small‐for‐Gestational‐Age Fetus and a Growth Restricted Fetus (Green‐top Guideline No. 31)
Key recommendations All women should be assessed at booking (by 14 weeks) for risk factors for fetal growth restriction (FGR) to identify those who require increased surveillance using an agreed pathway [Grade GPP]. Findings at the midtrimester ...
Intercropping enhances maize growth and nutrient uptake by driving the link between rhizosphere metabolites and microbiomes
Summary Intercropping leads to different plant roots directly influencing belowground processes and has gained interest for its promotion of increased crop yields and resource utilization. However, the precise mechanisms through which the intera...
Geopolitical risk, supply chains, and global inflation
AbstractThis paper investigates the effects of global geopolitical risks and global supply chain pressures on global inflation for the monthly period of 1999M1–2022M12. The investigation is based on a structural vector autoregression model, where ...
Towards an ultrafast 3D imaging scanning LiDAR system: a review
Light detection and ranging (LiDAR), as a hot imaging technology in both industry and academia, has undergone rapid innovation and evolution. The current mainstream direction is towards system miniaturization and integration. There are many metric...
AI-Driven Deep Learning Techniques in Protein Structure Prediction
Protein structure prediction is important for understanding their function and behavior. This review study presents a comprehensive review of the computational models used in predicting protein structure. It covers the progression from established...
The Early Data Release of the Dark Energy Spectroscopic Instrument
Abstract The Dark Energy Spectroscopic Instrument (DESI) completed its 5 month Survey Validation in 2021 May. Spectra of stellar and extragalactic targets from Survey Validation constitute the first major data sample from the DESI s...
A NICER View of the Nearest and Brightest Millisecond Pulsar: PSR J0437–4715
Abstract We report Bayesian inference of the mass, radius, and hot X-ray emitting region properties—using data from the Neutron Star Interior Composition ExploreR (NICER)—for the brightest rotation-powered millisecond X-ray pulsar, ...
Monthly climate prediction using deep convolutional neural network and long short-term memory
Explainable Reinforcement Learning: A Survey and Comparative Review
Explainable reinforcement learning (XRL) is an emerging subfield of explainable machine learning that has attracted considerable attention in recent years. The goal of XRL is to elucidate the decision-making process of reinforcement learning (RL) ...
Fairness in Machine Learning: A Survey
When Machine Learning technologies are used in contexts that affect citizens, companies as well as researchers need to be confident that there will not be any unexpected social implications, such as bias towards gender, ethnicity, and/or people wi...
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
This article presents a comprehensive and practical guide for practitioners and end-users working with Large Language Models (LLMs) in their downstream Natural Language Processing (NLP) tasks. We provide discussions and insights into the usage of ...
SaaS Metrics
Academic Publication