Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Deep learning-based detection of submerged debris and plastics in underwater environments: a systematic review
Purpose To synthesize and critically appraise deep learning approaches for detecting submerged plastics and marine debris, with a focus on architectures, image enhancement and deployment on resource-constrained autonomous platforms. Design/methodo...
Numerical and experimental investigation on the flow-rate stabilization features of a novel flow control valve design for variable-thrust spacecraft engine
Abstract Precise modulation of propellant flow is crucial for thrust control in variable-thrust liquid rocket propulsion systems. This study presents investigations on a novel passive Pressure-Compensated Flow Control Valve (PCFCV) featuring a sel...
Magnetohydrodynamic Williamson fluid flow in ureteral tubes with heat and mass transfer in electromagnetic therapy: numerical and artificial neural network analysis
Ureteral peristalsis, responsible for transporting urine, is easily interfered with by mechanical and physical factors. Because of the ionic constituents, urine is electrically conducting and thus is sensitive to electromagnetic fields. The presen...
Comparative evaluation of six machine learning models for multi-fuel variable compression ratio diesel engine emission prediction under leave-one-out cross-validation
The accurate prediction of exhaust emissions from compression-ignition engines fueled with alternative biofuels remains a long-standing challenge for sustainable engine development, particularly when experimental datasets are small. This study pre...
Experimental analysis and optimization of driving smoothness simulation of the SUV vehicle based on ADAMS/car
Abstract Sport utility vehicles (SUVs) often encounter challenges in simultaneously balancing handling stability and ride comfort when driving on rough roads. In order to ensure driver safety and improve ride comfort, this study utilizes the multi...
Raw occurrence data on emerging and novel BFRs in food
The raw occurrence data on the emerging and novel BFRs in food extracted from EFSA Data Warehouse by 8th of September 2025 and sampled between years 2010 and 2025
Deep ocean self-potential data from the Escanaba Trough (Central Hill)
This data release contains self-potential (SP) electric field data collected at the Escanaba Trough, Central Hill, in the northeast Pacific Ocean during the USGS research expedition in 2022. The datasets were gathered by the autonomous underwater ...
Research on the inspection technology and application of deep-sea marine cable based on underwater robots
The growing dependence on deep-sea marine cables for telecommunications, power transmission, and scientific research has highlighted the importance of efficient inspection and maintenance strategies. Conventional techniques, including human divers...
Hope Kit Program
Suicide is a leading cause of death in adolescents and young adults, with a disproportionate burden of those deaths in rural areas such as Kansas. High rates of depressive symptoms, suicidal thoughts, and suicidal attempts, combined with a shortag...
Spatially valid underwater target capture by multiple AUVs with dual policy reinforcement learning framework of target allocation and pursuit control
This paper proposes a dual-policy reinforcement learning framework for target allocation and pursuit control in spatially valid underwater target capture, enabling multiple autonomous underwater vehicles (AUVs) to form feasible subgroups and captu...
Celestial Navigation: A State-of-the-Art Review Towards a Light Autonomous Underwater Vehicle (LAUV) Conceptual Application
Global Navigation Satellite Systems (GNSS) are incompatible with the underwater domain as radiofrequency signals cannot penetrate the water column, leaving Autonomous Underwater Vehicles (AUVs) reliant on dead-reckoning systems that accumulate pos...
Extending Human–Machine Interaction Analysis from Autonomous Driving to Manned–Unmanned Vehicle Teaming: A Function-Specific Effectiveness Framework and the Partial-Autonomy Trap
Human–machine interaction (HMI) has become a central issue in autonomous driving because partial automation can degrade, rather than improve, human performance during takeover, handover, and out-of-the-loop transitions. Similar interaction risks a...
The UnderwaterVLA dual-brain vision-language-action architecture enables robust autonomous underwater navigation
This paper presents UnderwaterVLA, a novel framework for autonomous underwater navigation that integrates multimodal foundation models with embodied intelligence systems. Underwater operations remain difficult due to hydrodynamic disturbances, lim...
Mobile Robot Localization and SLAM: A Critical Review of Sensors, Multi-Sensor Fusion, and Neural Representations
Accurate and robust localization remains the fundamental bottleneck for truly autonomous robotic systems, despite decades of progress in probabilistic estimation and SLAM. This paper provides a critical and comprehensive review of mobile robot loc...
AI-Based Autonomous Security for Cyber–Physical Systems 2.0 in IoT Ecosystems—A Narrative Review
This narrative review examines the evolving landscape of AI-based security in Cyber–Physical Systems 2.0 (CPS 2.0) within the context of AI-driven autonomous cybersecurity solutions for the Internet of Things (IoT). This article presents a narrati...
A computer vision-based approach to monitor changes in ecosystems associated with marine renewable energy projects
Abstract To assess the potential ecological effects of marine renewable energy (MRE) devices, it is essential to establish a baseline of ecosystem conditions prior to disturbance and to monitor throughout the installation, operation, maintenance, ...
Raw occurrence data on emerging and novel BFRs in food
The raw occurrence data on the emerging and novel BFRs in food extracted from EFSA Data Warehouse by 8th of September 2025 and sampled between years 2010 and 2025
THREE ESSAYS ON EMPIRICAL INDUSTRIAL ORGANIZATION AND MACHINE LEARNING
This dissertation investigates two critical economic challenges: global public health emergencies and the transformation of the digital economy. Through the development and application of state-of-the-art computational economics and machine learni...
ESP32-Based Inventory Tracker for Goods Recording with Barcode Identification
Manual inventory management is prone to various challenges, including recording errors, delays in data updates, and time- and labor-intensive stock reconciliation processes. PT Berkah Industri Mesin Angkat Site Kendari experiences these issues in ...
Experimental and Numerical Investigations of Seismic Performance of Prefabricated SRC Frame in Multi-Floored Grain Warehouse
As an innovative structural system aligned with construction industrialization, prefabricated Steel-Reinforced Concrete (SRC) structures are characterized by high load-bearing capacity, efficient material utilization, and rapid construction. In th...
SaaS Metrics
Scientific Literature