# Majed Alhaisoni

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/majed-alhaisoni/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,561 |
| Field | Peer-to-Peer Network Technologies |
| h-index | 33 |
| i10-index | 67 |
| Last Known Institution | Princess Nourah bint Abdulrahman University |
| OpenAlex ID | https://openalex.org/A5067940140 |
| ORCID iD | 0000-0002-0231-6899 |
| Works | 122 |

## Researcher papers

- [Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists](https://scholariq.org/papers/multimodal-brain-tumor-classification-using-deep-learning-and-robust-feature/)
- [Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion](https://scholariq.org/papers/breast-cancer-classification-from-ultrasound-images-using-probability-based/)
- [Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection](https://scholariq.org/papers/computer-aided-gastrointestinal-diseases-analysis-from-wireless-capsule/)
- [A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection](https://scholariq.org/papers/a-sustainable-deep-learning-framework-for-object-recognition-using-multi-layers/)
- [Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm](https://scholariq.org/papers/multimodal-brain-tumor-detection-and-classification-using-deep-saliency-map-and/)
- [Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features](https://scholariq.org/papers/phonocardiogram-signal-processing-for-automatic-diagnosis-of-congenital-heart/)
- [BC2NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features Selection](https://scholariq.org/papers/bc2netrf-breast-cancer-classification-from-mammogram-images-using-enhanced-deep/)
- [StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification](https://scholariq.org/papers/stomachnet-optimal-deep-learning-features-fusion-for-stomach-abnormalities/)
- [A multilevel features selection framework for skin lesion classification](https://scholariq.org/papers/a-multilevel-features-selection-framework-for-skin-lesion-classification/)
- [COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion](https://scholariq.org/papers/covid-19-case-recognition-from-chest-ct-images-by-deep-learning-entropy/)
- [A Single Stream Modified MobileNet V2 and Whale Controlled Entropy Based Optimization Framework for Citrus Fruit Diseases Recognition](https://scholariq.org/papers/a-single-stream-modified-mobilenet-v2-and-whale-controlled-entropy-based/)
- [Crops Leaf Diseases Recognition: A Framework of Optimum Deep Learning Features](https://scholariq.org/papers/crops-leaf-diseases-recognition-a-framework-of-optimum-deep-learning-features/)

## Researcher topics

- [Peer-to-Peer Network Technologies](https://scholariq.org/topics/peer-to-peer-network-technologies/)
- [Caching and Content Delivery](https://scholariq.org/topics/caching-and-content-delivery/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Image and Video Quality Assessment](https://scholariq.org/topics/image-and-video-quality-assessment/)

## Researcher university

- [Princess Nourah bint Abdulrahman University](https://scholariq.org/institutions/princess-nourah-bint-abdulrahman-university/)

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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.