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Cognitive Robotics
Scopus
ISSN 2667-2413 · KeAi Communications Co. Ltd. · 125 artikel di indeks
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Artikel Jurnal
Interactive multi-feature residual network for lightweight image super-resolution
Image Super-Resolution (SR) aims to recover high-resolution (HR) images from their low-resolution (LR) counterparts. However, existing SR methods suffer from insufficient multi-level feature interaction, leading to increased computational complexity. To address this limitation, we propose an…
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Artikel Jurnal
Underwater image super-resolution via multi-domain learning
Underwater images suffer from haze effects and low contrast due to wavelength- and distance-dependent scattering and attenuation. These issues present significant challenges for various underwater vision applications. Super resolution (SR) of underwater images offers an effective solution for…
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Artikel Jurnal
EMSD-YOLO: A Surface Defect Detection Model Based on Feature Extraction and Fusion
Accurate identification of industrial defects plays a critical role in maintaining product quality during manufacturing. Nevertheless, the wide range and intricate nature of defect types present major obstacles for current detection models. To tackle these issues, we introduce a new model named…
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Artikel Jurnal
UWLight-YOLO: An adaptive lightweight attention network for underwater sonar image object detection
Underwater sonar image object detection is a key enabling technique for marine exploration, fisheries monitoring, and underwater robotic navigation. However, sonar imagery is often affected by severe noise interference, low contrast, blurred boundaries, and complex background clutter, leading to…
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Artikel Jurnal
ASNet : Attention-guided structure-aware network for low-light image enhancement
Low-light image enhancement (LLIE) aims to optimize the visibility and perceptual quality of images described under poor lighting conditions by increasing brightness and restoring fine details. This letter introduces a LLIE method called ASNet, which combines attention guidance with structure-aware…
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Artikel Jurnal
A defect detection model for transmission line stockbridge dampers based on YOLOv11 with privacy protection
Stockbridge dampers, critical components of transmission line integrity management, require precise defect detection to ensure grid reliability. While deep learning has emerged as powerful tools for identifying damper defects amidst complex environmental interferences and variable target…
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Artikel Jurnal
DualSpinNet: A crop yield prediction model based on LSTM and GRU
Accurate prediction of crop yield is of great significance for agricultural production and food security. In this paper, we introduce DualSpinNet, a novel model that integrates long short-term memory network (LSTM) and gated recurrent unit (GRU) architectures to address this challenge. This model…
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Artikel Jurnal
Self-adaptive control of a two-point contact gripper for the precise handling of compliant objects in industrial robotics
This paper presents a novel adaptive control framework for robotic grippers that handles a wide range of compliant objects by mimicking human grasping behaviour. The proposed system integrates three distinct control strategies: classical Proportional-Integral-Derivative (PID)…
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Artikel Jurnal
LFEN: A language feature enhanced network for scene text recognition
In the context of natural scenes, traditional text recognition methods exhibit limitations when confronted with the substantial differences in characters and context among diverse languages. To address this challenge, we propose an approach LFEN for text recognition and correction in natural…
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Artikel Jurnal
TrOCR-driven seal instrument detection and recognition for cognitive robotic applications
Seal recognition, as a fundamental perception capability, is crucial for enabling cognitive robotic systems to autonomously interact with and understand physical documents in intelligent office and archival environments. While Transformer based optical character recognition (OCR) methods have…
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Artikel Jurnal
Research on the analysis and application of technological supply and demand structure based on LDA and BERTopic models
This paper employs text mining techniques, specifically Latent Dirichlet Allocation (LDA) and BERTopic topic models, to conduct an in-depth investigation of the supply and demand structure of regional scientific and technological achievements. The objective is to identify imbalances in supply and…
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Artikel Jurnal
Deep reinforcement learning-based routing framework for bidirectional communication in UAV-UGV networks
Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) performs crucial function in many applications like military operations, disaster management, hazardous operations and surveillance. Efficient bidirectional communication between UAVs and UGVs is necessary for effective…
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Artikel Jurnal
PCCNN: A CNN classification model integrating EEG time-frequency features for stroke classification
Stroke classification is crucial for timely diagnosis and treatment, as it helps differentiate between hemorrhagic and ischemic strokes, which require distinct clinical interventions. This paper proposes a stroke classification method using multi-channel electroencephalography (EEG) data. Unlike…
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Artikel Jurnal
Innovative strategy and practice of using underwater robot for marine cable inspection and operation and maintenance
This research explores underwater robot applications in marine cable inspection and maintenance with solutions to accuracy, reliability, and efficiency challenges. Current methods using human divers and remotely operated vehicles (ROVs) are expensive, time-consuming, and involve safety hazards. The…
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Artikel Jurnal
FB-YOLOv8s: A fire detection algorithm based on YOLOv8s
The significance of fire detection lies in protecting public safety and safeguarding the lives and property of people. However, there exist some problems in traditional detection algorithms of fire, such as low accuracy, high miss rate, and low detection rate of small targets. To effectively solve…
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Artikel Jurnal
Design cloud computing to monitor and controller for high voltage networks 400 KV
A high-voltage network (400 kV) is a system that has multiple control and communication elements and acts as a link between generating stations and transmission lines; it is considered one of the smart networks. The advantage of a smart grid over a traditional utility grid is that it uses a two-way…
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Artikel Jurnal
Improvement of multi-parameter anomaly detection method: Addition of a relational token between parameters
In the continuous development of systems, the increasing volume and complexity of data that engineers must analyze have become significant challenges. To address this issue, extensive research has been conducted on automated anomaly detection in logs. However, due to the limited variety of…
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Artikel Jurnal
A multi-view graph neural network approach for magnetic resonance imaging-based diagnosis of knee injuries
The knee plays a pivotal role in the human anatomy, serving as a cornerstone for support, mobility, shock attenuation, and balance. Currently, magnetic resonance imaging (MRI) remains the preferred method for diagnosing knee injuries, including anterior cruciate ligament (ACL) tears and meniscal…
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Artikel Jurnal
Robotic terrain classification based on convolutional and long short-term memory neural networks
Robotic mobility remains constrained by complex terrains and technological limitations, hindering real-world applications. This study presents a terrain classification framework integrating Fourier transform, adaptive filtering, and deep learning to enhance adaptability. Leveraging CNNs, LSTMs, and…
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Artikel Jurnal
DSR-YOLO: A lightweight and efficient YOLOv8 model for enhanced pedestrian detection
This paper presents DSR-YOLO, a pedestrian detection network that addresses critical challenges, such as scale variations and complex backgrounds. Built on the lightweight YOLOv8n architecture, it incorporates DCNv4 modules to enhance the detection rates and reduce missed detections by effectively…