Depthwise Separable Convolutions and Variational Dropout within the context of YOLOv3 حسب Chakar, Joseph

"…In this study, we combine the state-of-the-art object-detection model YOLOv3 with depthwise separable convolutions and variational dropout in an attempt to bridge the gap between the superior accuracy of convolutional neural networks and the limited access to computational resources. …"
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Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

"…Compared to the literature, the proposed model embeds a new feature selection method and offers higher detection accuracy, which helps lenders and financial institutions to better manage their lending activities and loan monitoring processes.…"
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Automated skills assessment in open surgery: A scoping review حسب Hawa Hamza (17707224)

"…In the review, we compare conventional methods such as statistical modeling and custom algorithms with the emerging AI-based approaches. …"

A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

"…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …"

Application of Data Mining to Predict and Diagnose Diabetic Retinopathy حسب Haniyeh, Maryam

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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Based on the experimental results, the predictions can be made to detect failure and forecast traffic amount. The models presented prove that data analytics can create new value in an ETC environment. …"
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Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System حسب Fahmida Haque (16896489)

"…Patients have been classified into four classes: Absent, Mild, Moderate, and Severe. The model accuracy was validated with the results from different machine learning algorithms. …"

Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images حسب Rehan Raza (17019105)

"…Considering these shortcomings, computational methods especially machine learning and deep learning algorithms are leveraged as an alternative to accelerate the accurate detection of CT scans as cancerous, and non-cancerous. …"

Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

"…Although researchers have found that hate is a problem across multiple platforms, there is a lack of models for online hate detection using multi-platform data. …"

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

"…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…"

Data redundancy management for leaf-edges in connected environments حسب Mansour, Elio

"…DRMF considers both static and mobile edge devices, and provides two algorithms for temporal and spatio-temporal redundancy detection. …"
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PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT حسب Khalil Assayed, Suha

"…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. …"
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Improving INS/GPS Integration for Mobile Robotics Applications حسب AbuHashim, Tariq Salman

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Lung nodule classification utilizing support vector machines حسب Mousa, W.A.H.

"…The advantage of SVM lies in better modeling the recognition process. The objective of this paper is to apply support vector machines SVMs for classification of lung nodules. …"
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The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review حسب Zainab Jan (17306614)

"…</p><h3>Objective</h3><p dir="ltr">This review aims to explore the machine learning algorithms used for the detection and diagnosis of bipolar disorder and its subtypes.…"

Generative AI revolution in cybersecurity: a comprehensive review of threat intelligence and operations حسب Mueen Uddin (4903510)

"…This research paper explores GAI in enhancing cybersecurity by leveraging AI Models and algorithms. GAI can autonomously address common security issues, detect novel threats, and augment human intervention in critical security aspects. …"

The use of multi-task learning in cybersecurity applications: a systematic literature review حسب Shimaa Ibrahim (22155739)

"…Five critical applications, such as network intrusion detection and malware detection, were identified, and several tasks used in these applications were observed. …"

Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases حسب Muhammad Ali Muzammil (17910611)

"…The lack of robustness in models when applied to disparate populations frequently hinders their practical applicability. …"

PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT حسب Khalil Assayed, Suha

"…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. …"
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