Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Experimental analysis of diving fins energy efficiency using hydrodynamic modelling
This study presents a research methodology and test setup to analyze different types of recreational fins for specific tasks: beginner recreational swimming, deep-water diving, and sports swimming.The fins tested were Aqualung, Scubapro, and Exote...
Advances in muscle-driven biohybrid robots: electrical, optical and neuromuscular junction-based stimulations
Abstract Muscle-driven biohybrid robotics has gained substantial attention for its potential to enable advanced mechanical systems with flexibility, high energy efficiency, self-healing capability and adaptability. Autonomous or stimulated muscle ...
Selectively igniting plasmas in air at atmospheric pressure through time-reversal of microwaves
Methods that could enable the generation of plasmas in air, at atmospheric pressure, and with the ability to precisely target where and when the plasmas are created are of great interest to domains such as fuel combustion. In this study, we show e...
Development of a tendon-driven serial manipulator for an aquatic autonomous surface vehicle
This paper proposes a two-degree-of-freedom (2-DOF) tendon-driven manipulator to be attached to an aquatic Autonomous Surface Vehicle ASV (MallARD platform is an example). This attachment will expand the ASV’s reachable workspace. It also enables ...
Explainable YOLO architectures for egg size measurement and classification
The poultry industry faces growing demands for automated, high-precision egg grading systems to ensure quality control and meet market standards. Traditional methods relying on manual inspection are time-consuming, subjective, and prone to human e...
A Miniaturized Multi-Parameter Synchronous Observation System for In Situ Ocean Turbulence Measurement
A miniaturized (70 × 7.7 cm) multi-parameter synchronous observation system was developed for in situ ocean turbulence measurement, integrating micro-electromechanical system (MEMS)-based two-dimensional (2D) turbulence, pressure, temperature, con...
Modeling and experimental evaluation of marotti oil biodiesel blends in a diesel engine using response surface methodology and artificial neural networks
Biodiesel derived from non-edible feedstocks has attracted significant interest because of the increasing need for cleaner alternative fuels. Marotti oil biodiesel is a novel renewable fuel source that paves the way for utilizing more non-arable l...
Efficacy and safety of transcutaneous electrical acupoint stimulation to assist bowel cleansing: study protocol for a single-center, single-blind, randomized controlled trial
Introduction High-quality bowel preparation is a crucial prerequisite for ensuring the effectiveness of colonoscopy. Although polyethylene glycol (PEG) remains the first-line cleansing regimen recommended by clinical guidelines, its practical appl...
Frequency-Dependent Interfacial Instability and Vortex Dynamics of a Disturbed Liquid Jet in Crossflow
This study investigates the primary atomization dynamics of a sinusoidal-disturbed liquid jet in a gaseous crossflow, focusing on perturbation frequencies spanning 0 − 1500 kHz (Strouhal number S t = 0 − 5 ). A high-fidelity numerical fram...
Liquid Jetting‐Based Miniature Robotic Navigation in Confined Fluidic Spaces
Miniature robots offer great potential for accessing hard‐to‐reach areas often encountered in physiological and natural environments. However, current miniature robots lack a unified design, fabrication process, and actuation mechanism across the ...
Embedded very-low-frequency underwater acoustic acquisition technology and experimental study for underwater explosion monitoring
Very-low-frequency (VLF) underwater acoustic monitoring is a primary means for monitoring specialized underwater explosions. In view of the limited availability of dedicated off-the-shelf VLF underwater acoustic monitoring equipment and related te...
Event-Driven Neuromorphic Vibration Processing for Ultra Low Power Micro Gas Leak Detection
Gas leakage in pipeline systems poses serious safety and environmental risks, particularly when micro-leaks remain undetected in early stages. Conventional gas detection methods rely on continuous sensor operation, resulting in high power consumpt...
Fiber-Optic Sensor-Based Structural Health Monitoring with Machine Learning: A Task-Oriented and Cross-Domain Review
Structural health monitoring (SHM) plays an increasingly important role in managing aging, safety-critical infrastructure under growing environmental and operational demands. In recent years, fiber-optic sensors (FOSs) have attracted significant a...
Adaptive Data-Driven Control of Autonomous Underwater Vehicles: Bridging the Gap Between Simulation and Experimental Baseline via LSTM-MPC
This study proposes a robust data-driven control framework, LSTM-MPC, designed to enhance the velocity stabilization of Autonomous Underwater Vehicles (AUVs) operating under stochastic marine disturbances. Traditional control methods often struggl...
Extracellular Vesicles as Mediators of Endothelial and Tubular Injury in Cardiac Surgery-Associated Acute Kidney Injury
Cardiac surgery represents a cornerstone of modern cardiovascular medicine, yet it is intrinsically linked to significant systemic stress responses that can compromise remote organ function. Among postoperative complications, cardiac surgery-assoc...
Physical mechanisms governing generalization and hallucination in deep learning for imaging through scattering media
Deep learning has revolutionized computational imaging, yet its real-world deployment remains constrained by two critical challenges: poor generalization under dynamic conditions and the emergence of hallucinatory artifacts. By leveraging a physic...
Analysis of Radiative Transfer Characteristics for Underwater Hyperspectral LiDAR
Targeting the long-term goal of synchronous acquisition of underwater terrain and material composition information, this study establishes a radiative transfer model for underwater hyperspectral LiDAR (UDHSL) and systematically verifies the effect...
Edge-Deployable Stereo Vision for Fish Biomass Estimation via Lightweight YOLOv11n-Pose and Dynamic Geometry
Non-invasive, real-time biomass estimation is critical for smart aquaculture, yet high computational latency and the cost of specialized optical sensors remain significant bottlenecks. This study proposes an ultra-low-cost, edge-deployable stereo-...
Engineering Systems with Standards and Digital Models: Specifying Stakeholder Needs and Capabilities—MGOS
This paper proposes a formal method and associated techniques for completing the ISO/IEC/IEEE Standard 15288 technical process 6.4.2—Stakeholder Needs and Requirements definition within the 15288-SysML Grid framework. The paper is a companion work...
Optimization of Cleaning Blades for Underwater Biofouling Removal Robots
To address the issues of increased resistance and energy consumption caused by biofouling on ship hulls, a scraping blade design method based on cutting theory is proposed for a model of an underwater robot. A dynamic model of the blade is establi...
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