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Similarity-based face image retrieval using sparsely embedded deep features and binary code learning
Human face retrieval has long been established as one of the most interesting research topics in computer vision. With the recent development of deep...
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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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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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Distributed source DOA estimation based on deep learning networks
With space electromagnetic environments becoming increasingly complex, the direction of arrival (DOA) estimation based on the point source model can...
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Detecting mistakes in a domain model: a comparison of three approaches
Domain models are a fundamental part of software engineering, thus it is important for every software engineer to know the principles of domain...
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Robust seamless GEO scanning control strategy for airborne electro-optical/infrared reconnaissance systems
Airborne electro-optical/infrared reconnaissance systems could scan a large area by using an array detector and stitching the image sequence to...
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Truncated loss-based Res2Net for non-Gaussian noise removal
Many current image denoising works focus on Gaussian noise removal. However, in many real-life applications, the noise in an image can follow...
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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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A FairMOT approach based on video recognition for real-time automatic incident detection on expressways
An accurate, fast and real-time expressway automatic incident detection (AID) algorithm can not only reduce the burden of expressway management...
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AFS-BM: enhancing model performance through adaptive feature selection with binary masking
We study the problem of feature selection in general machine learning (ML) context, which is one of the most critical subjects in the field....
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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,...
