Pr Mohamed Elhadi Rahmani

أستاذ محاضر أ

قسم الإعلام الآلي كلّية الرياضيات والإعلام الآلي

نبذة

باحث في مجال التعلم العميق وتعلم الآلة والذكاء الاصطناعي التوليدي والروبوتات. عضو في مخبر GeCoDe بجامعة سعيدة الدكتور مولاي الطاهر. تحصّل على شهادة الليسانس في الإعلام الآلي عام 2012، ثم شهادة الماستر في نمذجة المعارف والاستدلال عام 2014، ثم شهادة الدكتوراه في الإعلام الآلي عام 2018، كل ذلك من جامعة سعيدة الدكتور مولاي الطاهر. أعماله البحثية تشمل التصنيف، التعرف على الأنماط، الخوارزميات المستوحاة من الطبيعة، والتعلم المراقَب. له 23 منشورًا علميًا و122 استشهادًا (h-index = 6).

مجالات البحث

التعلم العميقتعلم الآلةالذكاء الاصطناعي التوليديالروبوتاتالخوارزميات المستوحاة من الطبيعةالتعرف على الأنماطتصنيف البيانات

المنشورات العلمية

20221 منشور

Deep Convolutional Real Time Model (DCRTM) for American Sign Language (ASL) Recognition
International Journal of Security and Privacy in Pervasive Computing 14(1)

20211 منشور

Multi-stage Genetic Algorithm and Deep Neural Network for Robot Execution Failure Detection
Neural Processing Letters 53(6)
الرابط

20181 منشور

Sonar Data Classification Using a New Algorithm Inspired from Black Holes Phenomenon
International Journal of Information Retrieval Research 8(2)
الرابط

20172 منشور

A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction
International Journal of Swarm Intelligence Research 8(3)
New Approach Based on Termite's Hill Building for Prediction of Successful Simulations in Climate Models
International Journal of Swarm Intelligence Research 8(3)

20163 منشور

Supervised Machine Learning for Plants Identification Based on Images of Their Leaves
International Journal of Agricultural and Environmental Information Systems 7(4)
الرابط
Hybridization Between Scoring Technique and Similarity Technique for Automatic Summarization by Extraction
International Journal of Organizational and Collective Intelligence 6(1)
New Supervised Approach for Plant Leaves Classification using Artificial Social Bees
International Journal of Organizational and Collective Intelligence 6(1)

20153 منشور

Hybridization of Social Spiders and Extractions Techniques for Automatic Text Summaries
International Journal of Cognitive Informatics and Natural Intelligence 9(3)
Privacy Preserving Through Fireworks Algorithm Based Model for Image Perturbation in Big Data
International Journal of Swarm Intelligence Research 6(3)
A New Multi-layered Approach for Automatic Text Summaries Mono-Document Based on Social Spiders
CIIA 2015 — IFIP International Conference on Computer Science and its Applications

نبذة

Pr Mohamed Elhadi Rahmani

نبذة

مجالات البحث

المنشورات العلمية

Deep Convolutional Real Time Model (DCRTM) for American Sign Language (ASL) Recognition

Multi-stage Genetic Algorithm and Deep Neural Network for Robot Execution Failure Detection

Sonar Data Classification Using a New Algorithm Inspired from Black Holes Phenomenon

A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction

New Approach Based on Termite's Hill Building for Prediction of Successful Simulations in Climate Models

Supervised Machine Learning for Plants Identification Based on Images of Their Leaves

Hybridization Between Scoring Technique and Similarity Technique for Automatic Summarization by Extraction

New Supervised Approach for Plant Leaves Classification using Artificial Social Bees

Hybridization of Social Spiders and Extractions Techniques for Automatic Text Summaries

Privacy Preserving Through Fireworks Algorithm Based Model for Image Perturbation in Big Data

A New Multi-layered Approach for Automatic Text Summaries Mono-Document Based on Social Spiders

Pr Mohamed Elhadi Rahmani

نبذة

مجالات البحث

المنشورات العلمية

Deep Convolutional Real Time Model (DCRTM) for American Sign Language (ASL) Recognition

Multi-stage Genetic Algorithm and Deep Neural Network for Robot Execution Failure Detection

Sonar Data Classification Using a New Algorithm Inspired from Black Holes Phenomenon

A Novel Bio Inspired Algorithm Based on Echolocation Mechanism of Bats for Seismic States Prediction

New Approach Based on Termite's Hill Building for Prediction of Successful Simulations in Climate Models

Supervised Machine Learning for Plants Identification Based on Images of Their Leaves

Hybridization Between Scoring Technique and Similarity Technique for Automatic Summarization by Extraction

New Supervised Approach for Plant Leaves Classification using Artificial Social Bees

Hybridization of Social Spiders and Extractions Techniques for Automatic Text Summaries

Privacy Preserving Through Fireworks Algorithm Based Model for Image Perturbation in Big Data

A New Multi-layered Approach for Automatic Text Summaries Mono-Document Based on Social Spiders