Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Adaptive Navigation Strategies for Autonomous Underwater Vehicles in Time-Varying Marine Environments
Adaptive Navigation Strategies for Autonomous Underwater Vehicles in Time-Varying Marine Environments Nguyen Trung Dung*1 Abstract Autonomous Underwater Vehicles (AUVs) are increasingly employed in oceanographic exploration, environmental monitori...
Artificial Intelligence in Plant Sciences
Artificial intelligence (AI) may be referred to as a family of technologies which allow computers and other machines to perform the tasks that were previously dependent on human intelligence. In order to perform the tasks autonomously, the machine...
High‐Resolution Magnetic Signature of Lava Flows, Hydrothermal Field and Fossil Lava Lakes on the Equatorial East Pacific Rise
Abstract Lava flows and associated basalt‐hosted hydrothermal fields and fossil lava lakes are ubiquitous on the fast‐spreading East Pacific Rise (EPR), but their detailed magnetic signature is not well documented. We analyze high‐resolution bathy...
Bridging the Gap - AI Access in the Caribbean as a Telecom Infrastructure.pdf
This conference paper examines the application of artificial intelligence within the Caribbean telecommunications sector, highlighting opportunities to improve operational efficiency, customer experience, and digital innovation. It explores key ch...
Bridging the Gap - AI Access in the Caribbean as a Telecom Infrastructure.pdf
This conference paper examines the application of artificial intelligence within the Caribbean telecommunications sector, highlighting opportunities to improve operational efficiency, customer experience, and digital innovation. It explores key ch...
Toothed soft pneumatic gripper for grasping irregular geometries
This paper presents a concept for an air-pressure-powered soft-toothed gripper designed to grasp irregular objects with protruding elements such as edges, cables and stems. The design is described thoroughly and supported using the finite element ...
Microparticle laser fragmentation in liquids: mechanisms, energetics, and efficiency quantified with single-pulse, single-particle precision
In addition to nanoparticle laser fragmentation in liquids, laser fragmentation of readily available microparticles in liquids has emerged as a promising approach to generate nanoparticles with high efficiency. Despite its advantages, the underlyi...
Supporting interprofessional collaboration: The boundary work carried out by nurse managers in public hospitals
While interprofessional collaboration is essential to the quality of care, nurse managers tasked with fostering it are increasingly overwhelmed by their role in managing resources, particularly human resources. Indeed, the situation regarding abse...
61 How Low is Low Enough? Determining a Goal Central Line Standardized Utilization Ratio Necessary to Decrease Infections
Background: Diverticulitis is a common cause of emergency department (ED) visits for abdominal pain. Although recent guidelines recommend selective antibiotic use for low-risk cases, antibiotics remain commonly prescribed. Facility-level variation...
An Analytical Study on the Influence of Rocket Nozzle Geometry on Thrust Generation
The nozzle is a tube-shaped device that is used for releasing hot exhaust gases coming from the combustion chamber. The gases are accelerated, often to supersonic velocities, thus providing the thrust needed to overcome the gravitational pull on t...
FlowSNN: Bio-Inspired Lateral-Line Flow Classification with Spiking Neural Networks — Code and Reproducibility Package
Code and reproducibility package for the paper "Energy-Efficient Hydrodynamic Flow Sensing for Autonomous Underwater Vehicles: A Spiking Neural Network Decoder for a Bio-Inspired Artificial Lateral Line with FSI Simulation and Lattice-Boltzmann CF...
Dysphagia and Dysphonia in Parkinson’s Disease: Pathophysiological Mechanisms, Treatment Approaches, and Clinical Implications
Parkinson’s Disease (PD) is a progressive neurodegenerative disorder characterized by the degeneration of dopamine-producing neurons, leading to a wide range of symptoms that significantly impact patients’ quality of life. Among these, dysphagia (...
Artificial Intelligence and National Security: Military Power, Digital Sovereignty, and Great-Power Competition
This study analyzes how artificial intelligence (AI) is reshaping national security, military power, and great-power competition in the twenty-first century. Rather than treating AI as an autonomous technological force that mechanically determines...
Design methods for Product–Service Systems in the context of energy efficiency and environmental sustainability
Recent decades have seen the dynamic development of the Product-Service System (PSS). This concept is considered one of the best instruments for enabling traditional industrial companies (COM) to transition toward energy-efficient, resource-saving...
Non-Newtonian fluid mechanics in engineering
This review critically examines the role of non-Newtonian fluid mechanics across engineering systems, with particular emphasis on how knowledge developed in process industries can be applied and re-evaluated in marine technology. The paper first o...
SCG-HMH Generator and TITAN Star-ship Design consolidated concepts
This master publication (v14.4, Magnum Opus) consolidates the complete conceptual architecture of the Superconducting Cryogenic Generator – Magnetohydrodynamic Hybrid (SCG-HMH) system into a single, self-contained, ready-for-prototyping reference....
FlowSNN: Bio-Inspired Lateral-Line Flow Classification with Spiking Neural Networks — Code and Reproducibility Package
Code and reproducibility package for the paper "Energy-Efficient Hydrodynamic Flow Sensing for Autonomous Underwater Vehicles: A Spiking Neural Network Decoder for a Bio-Inspired Artificial Lateral Line with FSI Simulation and Lattice-Boltzmann CF...
Passive Acoustic Monitoring of Leaks in Underwater Wells and Pipelines
Subsea wells and pipelines are critical components of offshore energy systems, water management networks, and industrial fluid transport infrastructure. Undetected leaks carry severe consequences, including environmental contamination, significant...
Adaptive hybrid modulation-control framework for energy-efficient and reliable underwater IoT communication networks
Abstract Underwater IoT (UIoT) communication networks suffer from severe attenuation, multipath fading, limited bandwidth, and high energy consumption, which reduce communication reliability and network lifetime. To address these challenges, this ...
Safe hydrogen storage methods for underwater vehicles
The transition of underwater shipbuilding to fuel cell power systems requires solving the key problem of the low density of gaseous hydrogen and the associated explosion and fire hazards in confined compartments. Known hydrogen storage methods (co...
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