Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
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International Journal of Engineering Research and Science (IJOER) - Volume-12, Issue-5, May 2026 published in May 2026 2026. Contains 4 peer-reviewed engineering research articles on engineering, technology, and applied sciences.
A Finite Element Approach for Forced Dynamical Responses of Porous FG Nanocomposite Beams Resting on Viscoelastic Foundations
In this paper, a comprehensive dynamical analysis of porous-reinforced carbon nanotube (CNT) nanocomposite beams on viscoelastic foundations is presented. Using a three-unknown shear beam theory, the two-nodded finite element model was formulated ...
The Role OF Television in the Development OF English Language Competencies in Primary SCHOOL Pupils Within the Bamenda III Municipality
The Educational system in Cameroon has undergone significant changes regarding the use of Information Communication and Technology (ICT) for teaching and learning. With the constant growth in understanding ICTs in governance, business and in the d...
A Typology For Responsible Delegation Of Data Quality Management To Generative Ai
Data quality management (DQM) is a complex, contextual and resource-intensive process as the diversity and volume of data collected in organizations surge. While Generative artificial intelligence (GenAI) presents opportunities to support DQM task...
Multi Agent Systems In The Lean Startup Cycle: Operationalising Dynamic Capabilities
Generative, agentic AI promises to accelerate venture learning, yet we lack concrete designs for embedding them into entrepreneurial experimentation. This design science study proposes a multi-agent artefact that operationalises the Build–Measure–...
Hierarchical visual servoing for pose regulation of underactuated autonomous underwater vehicles based on active disturbance rejection control
This paper presents a novel hierarchical homography-based visual servo control strategy for pose regulation of underactuated autonomous underwater vehicles (AUVs). The proposed approach separates kinematic and dynamic control loops to effectively ...
A bibliometric analysis on Internet of Things research for maritime industry 4.0
The Internet of Things (IoT) is a key enabling technology for the digital transformation of the maritime sector toward Industry 4.0. Although previous studies identify IoT as a facilitator of maritime Industry 4.0 and examine its applications in s...
Melan-YOLO: a dual-strategy framework with custom architectures for accurate and efficient underwater object detection
Effective autonomous monitoring of marine litter is vital to reduce marine pollution and protect marine ecosystems. However, current underwater detection systems face significant challenges, primarily due to poor image quality caused by light scat...
A wireless sensor network system for border security and crossing detection
The protection of long stretches of countries’ borders has posed a number of challenges. Effective and continuous monitoring of a border requires the implementation of multi-surveillance technologies, such as Wireless Sensor Networks (WSN), that w...
Informative Path Planning with Limited Adaptivity
We study a stochastic vehicle routing problem arising in robotics, the informative path planning problem (IPP). In this problem, a robot needs to gather information in an uncertain environment by visiting various locations. The goal is to minimize...
Adaptive constraint-following control for maintenance robotic manipulator with uncertainties
To enhance the reliability and motion stability of the maintenance robotic manipulator system for armored vehicles, we propose a novel adaptive robust control methodology based on the Udwadia-Kalaba (UK) dynamic framework. To address the challenge...
Aspect independent detection and discrimination of concealed metal objects by electromagnetic pulse induction: a modelling approach
The work presented in this thesis describes the research, modelling and experimentation which were carried out so as to explore the use of electromagnetic pulse induction for the detection of nearby or on-body threat items such as handguns and kni...
Challenges of digital twin applications for radio telescopes
Large-aperture, high-frequency radio telescopes are prone to structural deformation under the influence of gravity, temperature, wind load and other environmental factors, which in turn affects the shape of the main reflector and pointing accuracy...
Actuator fault recovery with deep reinforcement learning in a linear model-based control framework: Application to a physical AUV
Actuator faults in autonomous mobile robotic systems pose significant challenges, especially in unpredictable environments where system reliability is paramount. Fault tolerant control (FTC) strategies, particularly those leveraging actuator redun...
Reframing maritime through life cycle thinking: evidence, gaps, and future directions
Abstract Purpose This study aims to systematically examine the use of life cycle assessment (LCA) in the maritime sector in order to identify methodological trends, the intensity of midpoint impact category usage, and major analytical gaps in the ...
Experimental Deployment and Recovery of an Underwater Robot from an Autonomous Surface Catamaran Using an Integrated LARS and Immersive Augmented Reality Teleoperation Interface
This video documents experimental robotic trials carried out at the Port of Castellón, Spain, on 18 May 2026. The demonstration presents a 3.5 m × 1.4 m catamaran-type surface robotic platform equipped with an integrated Launch and Recovery System...
Research on the effectiveness evaluation system of UUV coverage path planning based on multidimensional metrics
Coverage path planning (CPP) using Unmanned Underwater Vehicles (UUVs) has emerged as a pivotal technology in marine scientific research, underwater resource exploration, and military operations. The performance of coverage path planning algorithm...
ADVANCING MARINE ECOSYSTEM CONSERVATION: OBJECT DETECTION WITH AUVS AND REAL-TIME ALGORITHMS
Advancements in computer vision, particularly in the realms of image segmentation and object detection, are pivotal for marine ecosystem monitoring, which is crucial for conservation endeavours. Given the inherent risks involved in human observati...
L’innovation locale et sa contribution au développement durable : pour une taxonomie du système local de transition
L’article examine l’innovation locale en l’opposant au modèle schumpétérien, centré sur le marché, qui aborde les territoires uniquement dans le cadre de la compétition mondiale. Envisager l’innovation au service du développement durable du territ...
How Large Language Models Are Reshaping Skills and Job Requirements for Public Health Professionals in Saudi Arabia
Context: Large Language Models (LLMs) such as ChatGPT, Gemini, and DeepSeek are transforming professional work across sectors by enhancing information processing and decision support. In public health, these technologies offer the potential to imp...
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