Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
The Dark Energy Survey: Cosmology Results with ∼1500 New High-redshift Type Ia Supernovae Using the Full 5 yr Data Set
Abstract We present cosmological constraints from the sample of Type Ia supernovae (SNe Ia) discovered and measured during the full 5 yr of the Dark Energy Survey (DES) SN program. In contrast to most previous cosmological samples, ...
Lithium-ion battery recycling—a review of the material supply and policy infrastructure
Abstract The current change in battery technology followed by the almost immediate adoption of lithium as a key resource powering our energy needs in various applications is undeniable. Lithium-ion batteries (LIBs) are at the forefront o...
A smart mask for exhaled breath condensate harvesting and analysis
Recent respiratory outbreaks have garnered substantial attention, yet most respiratory monitoring remains confined to physical signals. Exhaled breath condensate (EBC) harbors rich molecular information that could unveil diverse insights into an i...
PSSM-Sumo: deep learning based intelligent model for prediction of sumoylation sites using discriminative features
A Review of Vision-Based Pothole Detection Methods Using Computer Vision and Machine Learning
Potholes and other road surface damages pose significant risks to vehicles and traffic safety. The current methods of in situ visual inspection for potholes or cracks are inefficient, costly, and hazardous. Therefore, there is a pressing need to d...
Predictive analytics for market trends using AI: A study in consumer behavior
Predictive analytics, driven by artificial intelligence (AI), is revolutionizing the understanding and forecasting of market trends, particularly in the realm of consumer behavior. This study explores the application of AIpowered predictive analyt...
Neural general circulation models for weather and climate
AbstractGeneral circulation models (GCMs) are the foundation of weather and climate prediction1,2. GCMs are physics-based simulators that combine a numerical solver for large-scale dynamics with tuned representations for small-scale processes such...
Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review
Background Artificial intelligence (AI) use cases in health care are on the rise, with the potential to improve operational efficiency and care outcomes. However, the translation of AI into practical, everyday use has been limi...
Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges
Physics-informed neural networks (PINNs) represent a significant advancement at the intersection of machine learning and physical sciences, offering a powerful framework for solving complex problems governed by physical laws. This survey provides ...
Engineered Two-Dimensional Transition Metal Dichalcogenides for Energy Conversion and Storage
Self-Driving Laboratories for Chemistry and Materials Science
Hyperuricemia and its related diseases: mechanisms and advances in therapy
AbstractHyperuricemia, characterized by elevated levels of serum uric acid (SUA), is linked to a spectrum of commodities such as gout, cardiovascular diseases, renal disorders, metabolic syndrome, and diabetes, etc. Significantly impairing the qua...
A comprehensive electron wavefunction analysis toolbox for chemists, Multiwfn
Analysis of electron wavefunction is a key component of quantum chemistry investigations and is indispensable for the practical research of many chemical problems. After more than ten years of active development, the wavefunction analysis program ...
Smart Retail Store Surveillance and Security with Cloud-Powered Video Analytics and Transfer Learning Algorithms
Pore engineering of Porous Materials: Effects and Applications
AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings
Despite the tightening of energy performance standards for buildings in various countries and the increased use of efficient and renewable energy technologies, it is clear that the sector needs to change more rapidly to meet the Net Zero Emissions...
Structural Improvement in Crane Boom Rest
Crane boom rests are critical components that endure both static and dynamic loads, leading to deformation and a shortened lifespan. This paper addresses these issues by proposing a redesigned model with enhanced stiffness and load-bearing capacit...
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications
Recurrent neural networks (RNNs) have significantly advanced the field of machine learning (ML) by enabling the effective processing of sequential data. This paper provides a comprehensive review of RNNs and their applications, highlighting advanc...
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