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Real-time water surface target detection based on improved YOLOv7 for Chengdu Sand River
It has been a challenge to obtain accurate detection results in a timely manner when faced with complex and changing surface target detection....
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A QoS-aware routing approach for Internet of Things-enabled wireless sensor networks in smart cities
In the Internet of Things (IoT), optimizing machine performance through data analysis and improved connectivity is pivotal. Addressing the growing...
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Real-time scheduling of power grid digital twin tasks in cloud via deep reinforcement learning
As energy demand continues to grow, it is crucial to integrate advanced technologies into power grids for better reliability and efficiency. Digital...
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Unleashing the power of deep neural networks: An interactive exploration of static and dynamic architectures
Static networks, known for their fixed architectures and weights, have been widely employed in diverse applications. However, the emergence of...
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Ensemble methods-based comparative study of Landsat 8 operational land imager (OLI) and sentinel 2 multi-spectral images (MSI) for smart farming crop classification
Agriculture has a significant worldwide impact in terms of generating employment opportunities and stimulating economic growth. In India, agriculture...
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Proposed cancelable biometrics system based on hybrid optical crypto-steganography audio framework for cyber security applications
Biometric authentication systems have gained significant popularity in recent years due to their high level of security and convenience. Cancelable...
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Visual saliency based maritime target detection
We present an unsupervised maritime target detection method based on visual saliency. From the perspective of maritime target detection as a salient...
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Enhancing visual clarity in hazy media: a comprehensive approach through preprocessing and feature fusion attention-based dehazing
Particles in the atmosphere, such as dust and smoke, can cause visual clarity problems in both images and videos. Haze is the result of the...
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DTS: dynamic training slimming with feature sparsity for efficient convolutional neural network
Deep convolutional neural networks have achieved remarkable progress on computer vision tasks over last years. In this paper, we proposed a dynamic...
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A three-stage quality evaluation method for experience products: taking animation as an example
The diversity and dynamics of quality index information bring challenges to quality assessment of experience products. This paper proposes a...
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Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by...
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Recent advances in 3D Gaussian splatting
The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel view synthesis. Unlike neural implicit representations like...
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Accurate entropy modeling in learned image compression with joint enchanced SwinT and CNN
Recently, learned image compression (LIC) has shown significant research potential. Most existing LIC methods are CNN-based or transformer-based or...
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Automatic identification of Malvani dialects from audio signal based on hybrid FFO-TSO with deep neural network
Marathi language is originated from the geographical regions of Maharashtra, which include several different varieties of Malvani. The identification...
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Ant lion optimization based inertia weight optimized KGMO for mobility Management in Heterogeneous LTE cellular networks
This study proposes a hybrid optimization-based mobility management strategy employing Kinetic Gas Molecular Optimization (KGMO) and Ant Lion...
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Robot remote control using virtual reality headset: studying sense of agency with subjective distance estimates
Mobile robots have many applications in the modern world. The autonomy of robots is increasing, but critical cases like search and rescue missions...
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A multi-scale no-reference video quality assessment method based on transformer
Video quality assessment is essential for optimizing user experience, enhancing network efficiency, supporting video production and editing,...
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ViCLEVR: a visual reasoning dataset and hybrid multimodal fusion model for visual question answering in Vietnamese
In recent years, visual question answering (VQA) has gained significant attention for its diverse applications, including intelligent car assistance,...
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An improved multi-scale and knowledge distillation method for efficient pedestrian detection in dense scenes
Pedestrian detection in densely populated scenes, particularly in the presence of occlusions, remains a challenging issue in computer vision....
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Anomaly detection using deep learning approach for IoT smart city applications
With the advancements of IoT devices, many smart applications start to rule this era. In particular, smart cities has been adapted and realized by...
