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An augmented attention-based lightweight CNN model for plant water stress detection
Recently, deep learning techniques specifically the Convolutional Neural Networks (CNNs) have reported outstanding results from the application for...
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A lightweight CNN-transformer model for learning traveling salesman problems
Several studies have attempted to solve traveling salesman problems (TSPs) using various deep learning techniques. Among them, Transformer-based...
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Automated Digitization of Student’s Marks from the Answer-Book Images Using a Lightweight CNN Model
Preparing student’s digital marksheet using images of student answer-books is a potential application in academic institutions. Segmenting assigned...
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A novel model for fall detection and action recognition combined lightweight 3D-CNN and convolutional LSTM networks
Three-dimensional convolutional neural networks (3D-CNNs) and full connection long short-term memory networks (FC-LSTMs) have been demonstrated as a...
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Lightweight image super-resolution via multi-branch aware CNN and efficient transformer
A hybrid architecture model of multi-branch aware CNN and efficient transformer (MAET) is proposed and implemented for lightweight image...
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Lightweight CNN model: automated vehicle detection in aerial images
Efficient vehicle detection has played an important role in Intelligent Transportation Systems (ITS) in smart cities. With the development of the...
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PT-CNN: A Non-linear Lightweight Texture Image Classifier
Deep learning models provide better performance for image classification problems. The increased depth of the model, for enhancing the ability to...
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A lightweight CNN based information fusion for image denoising
Deep convolutional neural networks (CNNs) with strong learning abilities have obtained good results for image denoising. However, the CNNs for image...
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A novel lightweight CNN for chest X-ray-based lung disease identification on heterogeneous embedded system
The global spread of epidemic lung diseases, including COVID-19, underscores the need for efficient diagnostic methods. Addressing this, we developed...
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Integration of a Lightweight Customized 2D CNN Model to an Edge Computing System for Real-Time Multiple Gesture Recognition
The human-machine interface (HMI) collects electrophysiology signals incoming from the patient and utilizes them to operate the device. However, most...
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VGG-ICNN: A Lightweight CNN model for crop disease identification
Crop diseases cause a substantial loss in the quantum and quality of agricultural production. Regular monitoring may help in early stage disease...
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Classification of microscopic peripheral blood cell images using multibranch lightweight CNN-based model
White blood cells (WBC), which are human peripheral blood cells, are the most significant part of the immune system that defends the body against...
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A novel lightweight CNN-based error-reduced carry prediction approximate full adder design for multimedia applications
Approximation approaches have been developed for very large-scale integration architecture to limit power consumption and increase effective...
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An efficient lightweight CNN model for real-time fire smoke detection
Early fire and smoke detection with computer vision have attracted much attention in recent years, and a lot of fire detectors based on deep neural...
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Lightweight CNN-Based Low-Light-Image Enhancement System on FPGA Platform
Deep learning methods have made great advances in low-level vision tasks, such as image enhancement and target detection. However, these methods...
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A lightweight 2-D CNN model with dual attention mechanism for heartbeat classification
The classification of heartbeats is important for the diagnosis of arrhythmia, and more and more attention has been paid to deep learning methods to...
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Binarydnet53: a lightweight binarized CNN for monkeypox virus image classification
The recent widespread increase of the Mpox (formerly monkeypox) virus infections in South Asian and African countries has raised concerns among...
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Lightweight single-image super-resolution via multi-scale feature fusion CNN and multiple attention block
In recent years, single-image super-resolution (SISR) has acquired tremendous progress with the development of deep learning. However, the majority...
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Lightweight CNN-based malware image classification for resource-constrained applications
Malware (Malicious Software) is a malicious piece of code designed with the intention to enter a computer system to carry out harmful operations. It...
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Dynamic speaker localization based on a novel lightweight R–CNN model
In this study, a novel sound localization approach is proposed that provides 3D coordinates of the real moving speaker. Sound recordings of a real...
