Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Civil war as a factor of regional transformation: socioeconomic and political changes in East Kazakhstan
Introduction The significance of analyzing Eastern Kazakhstan’s regional trajectory during the Civil War lies in its capacity to illuminate the intersection of geopolitical volatility and the systemic degradation of daily survival standards, offer...
EPSRC CableDyn Project (Subsea Power Cable Dynamics Under Complex Ocean Environment (EP/W015102/1)) - FloWave Experiments Data
This dataset was obtained from experiments conducted at the University of Edinburgh’s FloWave Ocean Energy Research Facility on a scaled model of a lazy wave power cable. The experiments were performed in FloWave’s 25 m diameter, 2 m deep circular...
Analisis Postur dan Perbaikan Metode Kerja dengan Metode Rapid Upper Limb Assessment (RULA) pada Industri Minyak Goreng
The manual loading of finished goods in the cooking oil industry has the potential to cause unergonomic work postures and musculoskeletal disorders (MSDs). This study aims to analyze the work posture of loading workers at CV. OASE using the Rapid ...
Structural characteristics and evolutionary mechanisms of the global potash resource trade network: a TERGM-based empirical analysis
With rising agricultural demand, persistent spatial mismatch between potash supply and demand, and increasing uncertainty in global resource supply chains, the structural stability and evolutionary adjustment of the global potash resource trade ne...
Integrated ABC–VED–AHP Framework for Prioritizing Returned Materials in Electricity Transmission Warehouse Management
Returned materials in electricity transmission warehouses may still possess economic value and operational utility, but their accumulation reduces warehouse efficiency and delays asset recovery decisions. This study aims to develop an integrated d...
Environment-Independent SNR Measurement Method for Underwater Acoustic Communication Systems
Underwater acoustic communication (UAC) is used as a means of long-range communication for autonomous underwater vehicles (AUVs) and underwater wireless sensor networks (UWSNs). The signal-to-noise ratio (SNR) is an important metric for predicting...
Motion-Aware Autonomous Exploration Framework for AUVs in Complex Underwater Structures
The autonomous exploration capability of Autonomous Underwater Vehicles (AUVs) in complex underwater structures is fundamentally constrained by the coupling between sensing and motion execution. Unlike ground and aerial robots, limited underwater ...
Dataset for:Tube-Based Deep Koopman Model Predictive Control for PlanarTrajectory Tracking of Autonomous Underwater Vehicles
This dataset consists of trajectory, state, and control input data generated from a MATLAB-based mathematical model of an underwater robot. The data are used for training the Deep Koopman model proposed in this study and are organized in the train...
Code and Data for: Task Interleaving in Warehouse Operations: A Discrete-Event Simulation Analysis of Dispatching Rules and Task-Holding Policies
This repository contains the complete replication package—including simulation code, calibration scripts, empirical input data, and output results—for the paper "Task Interleaving in Warehouse Operations: A Discrete-Event Simulation Analysis of Di...
Building Comprehensive Compliance for Cross-Border Supply Chains Under Export Control Laws and Regulations
The tightening of export control regulations has laid the groundwork for unprecedented requirements around cross-border supply chain compliance. The traditional approach of conducting a static review of the parties directly involved in a transacti...
Dataset for:Tube-Based Deep Koopman Model Predictive Control for PlanarTrajectory Tracking of Autonomous Underwater Vehicles
This dataset consists of trajectory, state, and control input data generated from a MATLAB-based mathematical model of an underwater robot. The data are used for training the Deep Koopman model proposed in this study and are organized in the train...
Benthic marine litter monitoring: A comparative analysis of survey methods, reporting biases, and a decision-support framework
The seafloor is a major sink for marine litter, yet monitoring remains challenging due to technical and methodological constraints. A wide range of survey techniques exists, but differences in spatial coverage, detection capability, and reporting ...
Develop of a Lightweight Underwater Robotic Arm for Automatic Sampling of Seafloor Hydrothermal Fluid
ABSTRACT Traditional sampling methodologies that depend on the manual operation of large submersibles are characterized by significant time consumption and labor intensity. The incorporation of autonomous underwater robotic arms within unmanned un...
Optical Coastal GNSS-Denied Navigation for Reduction in AUV Underwater Navigation Error
The paper addresses the problem of maritime navigation in coastal areas without access to satellite positioning data. The proposed approach relies on visual information from a monocular camera supported by map-derived coastal information. Although...
YOLOv8n-FEL: A Lightweight Visual Detector with a Progressive Compress-Then-Enhance Architecture for Autonomous Driving
Real-time visual object detection on resource-constrained in-vehicle platforms requires a practical balance among detection accuracy, model size, computational complexity, and inference speed. Existing lightweight detectors may sacrifice accuracy,...
Autonomous dredging in USACE : opportunities, constraints, available technology, and technology gaps
The US Army Corps of Engineers (USACE) dredges over 200 million cubic yards of sediment while maintaining federal waterways annually, at a cost exceeding one billion dollars. The dredging industry has identified autonomous dredging as a near-term ...
GoogLeNetMP: A Development of GoogLeNet Architecture for Multi-Class Microplastic Classification in Subsurface Water Image
Microplastic pollution has become a major environmental concern due to its persistence in marine ecosystems and its potential impact on aquatic organisms and human health. Automatic detection of microplastic particles in underwater environments re...
Synchronization-Free Underwater Acoustic Localization for Autonomous Platforms: A Neural Network TDOA Approach and the Role of Receiver Geometry
Accurate underwater acoustic localization is a key enabling capability for autonomous underwater vehicles and underwater drones, which cannot rely on satellite positioning while submerged and therefore depend on acoustic methods to determine their...
AODV-Inspired Low-Overhead Routing for Underwater Drone Swarms Using Acoustic Communication
Underwater acoustic networks are critical for applications such as environmental monitoring, infrastructure inspection, and autonomous underwater operations. In these scenarios, autonomous underwater vehicles (AUVs) increasingly operate in coopera...
Remote Awareness of Seafloor Images Collected by AUVs over Low-Bandwidth Communication Links
This paper introduces a method for real-time processing and transmission of autonomous underwater vehicle (AUV) imagery over low-bandwidth communication links. It leverages artificial intelligence (AI) techniques to identify a set of images that b...
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