Farid Meziane

Head Data Science Research Centre

University of Derby

United Kingdom

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About

Farid Meziane is the Head of the Data Science Research Centre at the University of Derby, United Kingdom. His research areas encompass deep learning applications in medical imaging, traffic analysis, and data optimization in Internet of Things (IoT) networks. He has authored numerous articles, including studies on historical manuscript recognition, breast cancer classification, and advanced frameworks for contextual understanding of traffic-related data.

Articles (13)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

Collaborators (1)

Asad Abdi

University of Twente

NETHERLANDS

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Farid Meziane

Research Interests

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Articles (13)

Towards Accurate Recognition of Historical Arabic Manuscripts: A Novel Dataset and a Generalizable Pipeline

Discrimination of invasive ductal and lobular carcinoma of the breast based on the combination of enhanced Legendre polynomial, kinetic features and deep learning features

Unequal-Radius Clustering in WSN-Based IoT Networks : Energy Optimization and Load Balancing in UDCOPA Protocol

LICA-CS: Efficient Lossless Image Compression Algorithm via Column Subtraction Model

A graph based named entity disambiguation using clique partitioning and semantic relatedness

Lung CT Image Segmentation Using VGG-16 Network with Image Enhancement Based on Bounded Turning Mittag-Leffler Function

Molecular subtypes classification of breast cancer in DCE-MRI using deep features

Novel Adaptive DCOPA Using Dynamic Weighting for Vector of Performances Indicators Optimization of IoT Networks

Deep Learning Classification of Traffic-Related Tweets: An Advanced Framework Using Deep Learning for Contextual Understanding and Traffic-Related Short Text Classification

Diagnosis of Breast Cancer Based on Hybrid Features Extraction in Dynamic Contrast Enhanced Magnetic Resonance Imaging

A classification model of breast masses in DCE-MRI using kinetic curves features with quantum-Raina’s polynomial based fusion

The Impact of Arabic Diacritization on Word Embeddings

DCOPA: a distributed clustering based on objects performances aggregation for hierarchical communications in IoT applications

Collaborators (1)

Asad Abdi

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