Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection حسب Alok Singh Chauhan (8264985)

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

"…In addition, the framework outperforms conventional detection algorithms in words of detection rate, the rate of the false positive, and calculation time, respectively.…"
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Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection حسب HAMDALLAH, KHALID WAJIH TURKI

الموضوعات: "…machine learning algorithms, money laundering, financial crime detection,…"
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Detection of Depression in Arabic Social Media: A Comparison of Traditional and Modern Machine Learning Algorithms حسب ALSHEHHI, OMAR KHALID HAMAD

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Android Malware Detection Using Machine Learning حسب Al Ali, Shaikha

الموضوعات: احصل على النص الكامل

AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques حسب Khalid, Naji

"…This paper proposes a novel automated algorithm for the health monitoring of concrete column base cover degradation based on IoT and the state-of-the-art deep learning framework, Convolutional Neural Network (CNN). …"
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Target Detection Using Learning Methods حسب Sahnoon, Mohammad Moufeed

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A machine learning model for early detection of diabetic foot using thermogram images حسب Amith Khandakar (14151981)

"…Several studies have reported that thermogram images may help to detect an increase in plantar temperature prior to DFU. …"

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

الموضوعات:

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection حسب Zina Chkirbene (16869987)

الموضوعات:

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm حسب Prabu Selvam (22330264)

Effective uncertain fault diagnosis technique for wind conversion systems using improved ensemble learning algorithm حسب Khadija Attouri (18024307)

الموضوعات: "…Sine-cosine optimization algorithm (SCOA)…"

Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems حسب Amal Hichri (21383672)

الموضوعات:

Using machine learning for disease detection. (c2013) حسب Jreij, Georges Antoun

"…In order to rationalize this point of view, we will explore and assess eight classification algorithms on eight disease detection datasets with different characteristics each. …"
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI حسب Oishi Jyoti (21593819)

Malicious URL and Intrusion Detection using Machine Learning حسب Hamza, Amr

"…The purpose of this paper is to use machine learning (ML) techniques for malicious websites detection and classification, and intrusion detection. …"
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Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

"…Therefore, this study aims to evaluate several versions of Recurrent Neural Networks (RNNs) and Feedforward Neural Networks (FNNs) for detecting cyberbullying in the Arabic language. Although these algorithms are widely used in text classification and outperform the performance of classical classifiers, many have been extensively investigated in other domains such as sentiment analysis and dialect identification, as well as cyberbullying detection in English text. …"
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Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu حسب Ayesha Atif (22155133)

الموضوعات:

Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images حسب Ahila A (18394806)

"…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. …"

Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …"
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