Md Abdus Samad at Yeungnam University - Research Interests, Publications & Academic Profile

Md Abdus Samad

Yeungnam University

South Korea

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Research Interests

Meteorology

60%

Climatology

50%

Synoptic Meteorology

50%

Deep Learning

40%

Machine Learning

40%

Propagation Modeling

40%

Satellite Communication

30%

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Articles21

Deep transfer learning-based bird species classification using mel spectrogram images

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2024

A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities and Future Directions

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2024

Deep-Learning-Based Semantic Segmentation for Remote Sensing: A Bibliometric Literature Review

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2024

Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence

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2024

Few-Shot Lightweight SqueezeNet Architecture for Induction Motor Fault Diagnosis Using Limited Thermal Image Dataset

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2024

Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning

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2024

LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI

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2024

Medicinal Plant Classification Using Particle Swarm Optimized Cascaded Network

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2024

When to Use Standardization and Normalization: Empirical Evidence from Machine Learning Models and XAI

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2024

Nerve Root Compression Analysis to Find Lumbar Spine Stenosis on MRI Using CNN

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2023

Benign and Malignant Oral Lesion Image Classification Using Fine-Tuned Transfer Learning Techniques

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2023

HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting

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2023

DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination

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2023

Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review

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2023

Android Ransomware Detection From Traffic Analysis Using Metaheuristic Feature Selection

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2022

A Survey of Rain Fade Models for Earth–Space Telecommunication Links—Taxonomy, Methods,and Comparative Study

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2021

A Survey of Rain Fade Models for Earth-Space Telecommunication Links-Taxonomy, Methods, and Comparative Study

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2021

Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results

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2021

A Survey of Rain Attenuation Prediction Models for Terrestrial Links—Current Research Challenges and State-of-the-Art

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2021

A Survey of Rain Attenuation Prediction Models for Terrestrial Links-Current Research Challenges and State-of-the-Art

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Year:

2021

The Effects of Rain on Terrestrial Links at K, Ka and E-Bands in South Korea: Based on Supervised Learning

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Year:

2021

Collaborators3

Imran Ashraf

Yeungnam University

SOUTH KOREA

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Raquel Martínez

Profesora de Seguridad, Higiene y Calidad Alimentaria

Universidad Europea del Atlántico

SPAIN

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Amel Ksibi

SAUDI ARABIA

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