# Advanced Computing and Algorithms

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/advanced-computing-and-algorithms/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers explores the dynamics of urban structure through spatial network analysis, covering topics such as 3D visualization, internet of things, wireless sensor networks, remote sensing images, community detection, and traffic management in the context of smart cities. |
| Domain | Social Sciences |
| Field | Social Sciences |
| OpenAlex ID | t13731 |
| Works | 19 |

## Topic papers all

Showing 15 of 19.

- [A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation](https://scholariq.org/papers/a-coarse-to-fine-adaptive-network-for-appearance-based-gaze-estimation/)
- [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning](https://scholariq.org/papers/contrastive-and-generative-graph-convolutional-networks-for-graph-based-semi/)
- [An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm](https://scholariq.org/papers/an-efficient-segmentation-and-classification-system-in-medical-images-using/)
- [A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers](https://scholariq.org/papers/a-novel-and-effective-brain-tumor-classification-model-using-deep-feature-fusion/)
- [ML-Net: Multi-Channel Lightweight Network for Detecting Myocardial Infarction](https://scholariq.org/papers/ml-net-multi-channel-lightweight-network-for-detecting-myocardial-infarction/)
- [Medical Image Enhancement Based on CLAHE and Unsharp Masking in NSCT Domain](https://scholariq.org/papers/medical-image-enhancement-based-on-clahe-and-unsharp-masking-in-nsct-domain/)
- [Gaze latent support vector machine for image classification improved by weakly supervised region selection](https://scholariq.org/papers/gaze-latent-support-vector-machine-for-image-classification-improved-by-weakly/)
- [A New Method for Soybean Leaf Disease Detection Based on Modified Salient Region](https://scholariq.org/papers/a-new-method-for-soybean-leaf-disease-detection-based-on-modified-salient-region/)
- [Intelligent brain tumor detection using hybrid finetuned deep transfer features and ensemble machine learning algorithms](https://scholariq.org/papers/intelligent-brain-tumor-detection-using-hybrid-finetuned-deep-transfer-features/)
- [Configuration optimization method of Hadoop system performance based on genetic simulated annealing algorithm](https://scholariq.org/papers/configuration-optimization-method-of-hadoop-system-performance-based-on-genetic/)
- [Enhanced Deep Learning Models for Efficient Stroke Detection Using MRI Brain Imagery](https://scholariq.org/papers/enhanced-deep-learning-models-for-efficient-stroke-detection-using-mri-brain/)
- [Multiview clustering via consistent and specific nonnegative matrix factorization with graph regularization](https://scholariq.org/papers/multiview-clustering-via-consistent-and-specific-nonnegative-matrix/)
- [A hybrid transfer learning model with optimized SVM using honey badger optimization algorithm for multi-class lung cancer classification](https://scholariq.org/papers/a-hybrid-transfer-learning-model-with-optimized-svm-using-honey-badger/)
- [Controlling of Cursor movement with Eyeball using Hidden Markov Model](https://scholariq.org/papers/controlling-of-cursor-movement-with-eyeball-using-hidden-markov-model/)
- [Wavelet Based Feature Extraction and T-Set Evaluation for Automatic Brain Tumor Detection and Classification](https://scholariq.org/papers/wavelet-based-feature-extraction-and-t-set-evaluation-for-automatic-brain-tumor/)

## Topic primary papers

- [Configuration optimization method of Hadoop system performance based on genetic simulated annealing algorithm](https://scholariq.org/papers/configuration-optimization-method-of-hadoop-system-performance-based-on-genetic/)
- [A Random Matrix Network Model for the Network Teaching System of College Music Education Courses](https://scholariq.org/papers/a-random-matrix-network-model-for-the-network-teaching-system-of-college-music/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.