Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
A Comprehensive Survey on Source-Free Domain Adaptation
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 ...
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...
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 ...
AI software for personalized marketing automation in SMEs: Enhancing customer experience and sales
This review paper explores the role of AI software in personalized marketing automation and its impact on customer experience and sales in Small and Medium-sized Enterprises (SMEs). By examining key AI technologies such as machine learning, natura...
Industrial‐Scale Hard Carbon Designed to Regulate Electrochemical Polarization for Fast Sodium Storage
AbstractGiven the merits of abundant resource, low cost and high electrochemical activity, hard carbons have been regarded as one of the most commercializable anode material for sodium‐ion batteries (SIBs). However, poor rate capability is one of ...
Holistic Review of UAV-Centric Situational Awareness: Applications, Limitations, and Algorithmic Challenges
This paper presents a comprehensive survey of UAV-centric situational awareness (SA), delineating its applications, limitations, and underlying algorithmic challenges. It highlights the pivotal role of advanced algorithmic and strategic insights, ...
A new service composition method in the cloud‐based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework
SummaryCloud computing is quickly becoming a common commercial model for software delivery and services, enabling companies to save maintenance, infrastructure, and labor expenses. Also, Internet of Things (IoT) apps are designed to ease developer...
AI models collapse when trained on recursively generated data
Abstract Stable diffusion revolutionized image creation from descriptive text. GPT-2 (ref. 1), GPT-3(.5) (ref. 2) and GPT-4 (ref. 3) demonstrated high performance across a variety of language tasks. ChatGPT introduced such language model...
Plasmon-Induced Hot Electrons in Nanostructured Materials: Generation, Collection, and Application to Photochemistry
Highly Selective Electrocatalytic CO2 Conversion to Tailored Products through Precise Regulation of Hydrogenation and C–C Coupling
Plant Disease: A Growing Threat to Global Food Security
The escalating global population has led to an increased demand for both quantity and quality in food production. Throughout history, plant diseases have posed significant threats to agricultural output by causing substantial food losses annually ...
Reviewing the current state of virtual reality integration in medical education - a scoping review
Abstract Background In medical education, new technologies like Virtual Reality (VR) are increasingly integrated to enhance digital learning. Originally used to train surgical procedures, now use cases also cover em...
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