Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection
Multi‐Scale Soil Salinization Dynamics From Global to Pore Scale: A Review
AbstractSoil salinization refers to the accumulation of water‐soluble salts in the upper part of the soil profile. Excessive levels of soil salinity affects crop production, soil health, and ecosystem functioning. This phenomenon threatens agricul...
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
Deep reinforcement learning-based energy management strategy for fuel cell buses integrating future road information and cabin comfort control
Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring
Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images
Hetero-Bäcklund transformation, bilinear forms and multi-solitons for a (2+1)-dimensional generalized modified dispersive water-wave system for the shallow water
A survey of k-mer methods and applications in bioinformatics
An innovative square root - untraced Kalman filtering strategy with full-parameter online identification for state of power evaluation of lithium-ion batteries
Distributed quantum computing: A survey
Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors
This paper explores how artificial intelligence (AI) may impact the strategic decision-making (SDM) process in firms. We illustrate how AI could augment existing SDM tools and provide empirical evidence from a leading accelerator program and a sta...
Large Language Model in Creative Work: The Role of Collaboration Modality and User Expertise
Since the launch of ChatGPT in December 2022, large language models (LLMs) have been rapidly adopted by businesses to assist users in a wide range of open-ended tasks, including creative work. Although the versatility of LLM has unlocked new ways ...
Green innovation and carbon emission performance: The role of digital economy
Confusion Matrix-Based Performance Evaluation Metrics
Metal organic frameworks for wastewater treatment, renewable energy and circular economy contributions
Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data Generation, Main Hurdles, and Future Perspectives
The field of personalized medicine is undergoing a transformative shift through the integration of multi-omics data, which mainly encompasses genomics, transcriptomics, proteomics, and metabolomics. This synergy allows for a comprehensive understa...
Large Language Models for Software Engineering: A Systematic Literature Review
Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engineering (SE). Many recent publications have explored LLMs applied to various SE tasks. Nevertheless, a comprehensive understanding of the application...
Global burden of cancer and associated risk factors in 204 countries and territories, 1980–2021: a systematic analysis for the GBD 2021
Ab initio characterization of protein molecular dynamics with AI2BMD
Efficient green InP-based QD-LED by controlling electron injection and leakage
SaaS Metrics
Academic Publication