Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Promoting active hydrogen supply for kinetically matched tandem electrocatalytic nitrate reduction to ammonia
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Heavy metals: toxicity and human health effects
Abstract Heavy metals are naturally occurring components of the Earth’s crust and persistent environmental pollutants. Human exposure to heavy metals occurs via various pathways, including inhalation of air/dust particles, ingesting cont...
Evaluation of Retrieval-Augmented Generation: A Survey
LocalMamba: Visual State Space Model with Windowed Selective Scan
Optimized Neural Network for Prediction of Neurological Disorders
Agentic AI: Autonomous Intelligence for Complex Goals—A Comprehensive Survey
Adversarial Diffusion Distillation
Recent technological advances in food packaging: sensors, automation, and application
The advancements in the food packaging sector include smart sensors for detecting freshness, automation for efficiency, and sustainable applications for enhancing food safety and quality.
FSGS: Real-Time Few-Shot View Synthesis Using Gaussian Splatting
Is Big Data Adoption Shaping Business Landscapes? An Overview of Current Hotspots and Future Trends
Introduction: Most bibliometrics reviews in the prior studies have focused on tracking the evolution, applications, and implications of Big Data in business through different sectors using Web of Science or Scopus databases. Moreover, none of thes...
Signaling Theory: State of the Theory and Its Future
Signaling theory is about decision-making and communication. It describes scenarios where signalers send observable signals that carry credible information about unobservable qualities. When decision-makers have incomplete or imperfect information...
Wavelet Convolutions for Large Receptive Fields
Red analytical performance index (RAPI) and software: the missing tool for assessing methods in terms of analytical performance
Although performing validation of an analytical method is a widely accepted standard, assessing and comparing the overall analytical potential covering all validation criteria is not straightforward.
Crafting the architecture of biomass-derived activated carbon via electrochemical insights for supercapacitors: a review
Escalating energy demands have often ignited ground-breaking innovations in the current era of electrochemical energy storage systems.
A review of large language models and autonomous agents in chemistry
This review examines the roles of large language models (LLMs) and autonomous agents in chemistry, exploring advancements in molecule design, property prediction, and synthesis automation.
Feature Selection in Socio-Economic Analysis: A Multi-Method Approach for Accurate Predictive Outcomes
Potassium escaping balances the degree of graphitization and pore channel structure in hard carbon to boost plateau sodium storage capacity
This work revealed the dual beneficial roles of potassium, acting as a self-template to create pore channels and balancing the degree of graphitization.
Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection
Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB
SaaS Metrics
Academic Publication