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Non-binary evaluation of next-basket food recommendation
Next-basket recommendation (NBR) is a recommendation task that predicts a basket or a set of items a user is likely to adopt next based on his/her...
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Seabream Freshness Classification Using Vision Transformers
Many different cultures and countries have fish as a central piece in their diet, particularly in coastal countries such as Portugal, with the...
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Rice variety classification & yield prediction using semantic segmentation of agro-morphological characteristics
In order to increase the yield in agricultural stock, its speed of delivery & production plays a crucial role in economic growth of a county....
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Capsule network-based disease classification for Vitis Vinifera leaves
The primary source of food is extracted from the plant. Take care of and maintain the plants in real-time to enhance human survival. Diseases in...
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Multi-granularity sequence generation for hierarchical image classification
Hierarchical multi-granularity image classification is a challenging task that aims to tag each given image with multiple granularity labels...
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VTnet+Handcrafted based approach for food cuisines classification
In this paper, we propose a novel hybrid transformer architecture for food cuisine detection and classification. The work carried out within this...
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Feature selection using adaptive manta ray foraging optimization for brain tumor classification
Brain tumor is an anomalous growth of glial and neural cells and is considered as one of the primary causes of death worldwide. Therefore, it is...
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Intelligent waste classification approach based on improved multi-layered convolutional neural network
This study aims to improve the performance of organic to recyclable waste through deep learning techniques. Negative impacts on environmental and...
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DEEPBIN: Deep Learning Based Garbage Classification for Households Using Sustainable Natural Technologies
Today, things that are accessible worldwide are upgrading to innovative technology. In this research, an intelligent garbage system will be designed...
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Foodnet: multi-scale and label dependency learning-based multi-task network for food and ingredient recognition
Image-based food pattern classification poses challenges of non-fixed spatial distribution and ingredient occlusion for mainstream computer vision...
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Speckle noise reduction in sar images using improved filtering and supervised classification
Synthetic aperture radar (SAR) is a remote sensing device that extracts the earth's surface's geo and biophysical characteristics. Classification...
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An extensive review of hyperspectral image classification and prediction: techniques and challenges
Hyperspectral Image Processing (HSIP) is an essential technique in remote sensing. Currently, extensive research is carried out in hyperspectral...
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Hybrid optimized MRF based lung lobe segmentation and lung cancer classification using Shufflenet
Lung cancer is a kind of harmful cancer type that originates from the lungs. In this research, the lung lobe segmentation is carried out using Markov...
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Staked deep ensemble model for intruder behaviour detection and classification in cloud
Computer systems, cloud networks, and information systems can all be attacked, but intrusion detection systems can find them. It is challenging to...
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Depth-restricted convolutional neural network—a model for Gujarati food image classification
For an effective dietary assessment system, it is necessary to keep track of the amount of food consumed. Food recognition is the first step to...
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Sentiment analysis of linguistic cues to assist medical image classification
Image classification is a challenging problem and often suffers from the bottleneck of visual features. With the ever-growing availability of...
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Cotton crop classification using satellite images with score level fusion based hybrid model
Accurate cotton images are significant component for surveiling cotton development and its precise control. A suitable technique for charting the...
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An enhanced deep learning model for high-speed classification of plant diseases with bioinspired algorithm
Agriculture is one of the most crucial aspects of a nation’s growth. However, the quality and quantity of crop yield are severely affected by various...
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Heart disease classification through crow intelligence optimization-based deep learning approach
Deep learning (DL) approaches provide predictive analysis capabilities for heart-related diseases (HRD), enabling early pattern detection and...
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Optimization-based convolutional neural model for the classification of white blood cells
White blood cells (WBCs) are one of the most significant parts of the human immune system, and they play a crucial role in diagnosing the...
