Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models by Theng, Lau Wei

“…There are many techniques that can be used for fruit classification using computer vision technology. Deep learning is the most promising algorithm compared to another Machine Learning (ML) algorithm. …”
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A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance by Krishnamoorthy Natarajan (22047464)

A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari (22467148)

“…The rapid development of intelligent technologies has led researchers to strive to improve facial emotion recognition techniques. A range of machine learning (ML) methods can be used to recognize facial expressions based on data from small to large datasets. …”

An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method by Heba Soliman Zaina (16904787)

Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification by Lulwa Ahmed (16869936)

“…To this aim, we propose an AL-based FL framework by employing and evaluating several AL methods in two different application domains. …”

FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

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Target Detection Using Learning Methods by Sahnoon, Mohammad Moufeed

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Markisa/Passion Fruit Image Classification Based Improved Deep Learning Approach Using Transfer Learning by Abdo, Ahmed

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Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification by Ibrar Amin (19438018)

“…Computer-based automated diagnosis of diseases is progressively becoming popular. …”

On the Use of Deep Learning for Video Classification by Atiq ur Rehman (14153391)

“…To make the review self-contained, the emergence of deep learning methods towards automatic video classification and the state-of-art deep learning methods are well explained and summarized. …”

AttDCT: Attention-Based Deep Learning Approach for Time Series Classification in the DCT Domain by Amine Haboub (22392097)

Novel Multi Center and Threshold Ternary Pattern Based Method for Disease Detection Method Using Voice by Turker Tuncer (16677966)

LDSVM: Leukemia Cancer Classification Using Machine Learning by Abdul Karim (417009)

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Hassaan Malik (10486121)

“…Therefore, we designed a novel deep learning (DL)-based chest disease detection network (DCDD_Net) that uses a CXR, CT scans, and cough sound images for the identification of nine different types of chest diseases. …”

Improved Machine Learning for Multiclass Fault Classification in Industrial Processes by Khaled Dhibi (16891524)

“…The proposed methodology aims to boost any base classifier via optimization, interval-based feature selection, and intelligent binary decomposition. …”

A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

“…This study reviews the current deep-learning techniques used for monitoring and classification of the seagrass. …”

Unified mRNA Subcellular Localization Predictor based on machine learning techniques by Saleh Musleh (15279190)

Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems by M. Sajid (3070545)

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer by Saidul, Kabir

“…Automating Her-2/neu scoring can improve accuracy, efficiency, consistency, and cost-effectiveness while reducing pathologists' workload. Materials and MethodsA deep learning-based automatic framework was utilized for the automatic detection of Her-2/neu score from whole slide images (WSI). …”
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Drone/Bird Classification Based on Features of Tracks Trajectories by Kengeskanov, Maksat

“…This paper presents the outcome of several machine learning techniques used for the task of bird/drone classification based on their tracks. …”
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