Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Underwater Optical Communications: From Photodiodes to Single-Photon Detectors
This paper reviews key hardware components of underwater wireless optical communica-tions (UWOC) , with particular emphasis on photodetectors (PD). The growing demand for high-speed, low-latency underwater data links, driven by applications in aut...
YOLO-CAB: An Efficient Deep Learning-Based Underwater Object Detection Method for Autonomous Underwater Vehicles
High-precision environmental perception is essential for deep-sea exploration and autonomous underwater vehicle operations. However, physical factors such as light scattering and selective absorption, along with high target–background similarity, ...
Numerical study of wave energy converters with integrated tethered docks for UUV docking and charging.
This study investigates the integration of wave energy converters (WECs) with unmanned underwater vehicle (UUV) docking systems, addressing critical challenges in both energy sustainability and docking reliability for persistent UUV operations. Wh...
Polyendocrine metabolic ovarian syndrome, the new name for polycystic ovary syndrome: a multistep global consensus process
Comments: Oceangoing Robots Show Off Their Potential at OTC
In the 1960s, Shell Oil and Hughes Aircraft developed a 14-ft-long, 7,000-lb manipulator-operated robot known as Mobot. The system was deployed to the seafloor and connected to operators on a surface vessel through a 200-ft umbilical that provided...
The autonomous mission: A theory of value-aligned optimization in the age of intelligent agents
The misalignment of Artificial Intelligence (AI) with established objectives will lead to a perplexing array of existential risks, ranging from autonomous nuclear defense systems to detrimental United Nations (UN) disaster-response robots, as inad...
SW-Net: A Direction-Aware Deep Learning Model for Shipwreck Segmentation in Side-Scan Sonar Imagery
Side-scan sonar is a critical instrument for underwater cultural heritage preservation, as it allows large-scale detection of shipwrecks in turbid waters where optical methods fail. However, the automated segmentation of these targets remains a si...
ГІБРИДНА АРХІТЕКТУРА ВІЗУАЛЬНО-ІНЕРЦІАЛЬНОЇ SLAM ДЛЯ ЗАБЕЗПЕЧЕННЯ БЕЗПЕРЕРВНОЇ НАВІГАЦІЇ В УМОВАХ ОБМЕЖЕНОЇ ВИДИМОСТІ
The relevance of the study is determined by the need to ensure reliable and continuous navigation of autonomous mobile systems under low-visibility conditions, where conventional visual localization methods lose effectiveness, while inertial senso...
Estimating mechanical impedance from hydrophone measurements
Integrating machine learning or deep learning models into autonomous underwater vehicles often requires extra steps with an accuracy trade-off, and the scarcity of training datasets makes it inconvenient. This work introduces a reduced-order ident...
Poster: Physics Based Digital Twin Framework for an Autonomous Underwater Vehicle
The performance of Autonomous Underwater Vehicle (AUV) is extremely difficult to analyze in the digital world due to limited communication and lack of GPS in underwater. The major challenge is modeling the dynamic environment. This work presents a...
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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–...
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...
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 ...
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...
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...
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...
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