Information warfare حسب Haraty, Ramzi A.

"…Databases that represent information assets are subject to attacks that have malicious intentions, such as stealing sensitive data, deleting records or violating the integrity of the database. …"
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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE حسب ULLAH, SAAD

"…The UAE's built environment industry faces challenges due to energy consumption trends and inefficiencies in Facilities Management (FM), exacerbated by traditional maintenance methods relying on outdated paperwork and limited technological integration. This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …"
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Automated skills assessment in open surgery: A scoping review حسب Hawa Hamza (17707224)

"…In this scoping review, we present the open surgeries and clinical settings where AI-based skill assessment has been applied, the kind of surgical data acquired for the AI-based algorithms, and the types of AI-based models used for automated skills assessment. …"

Bridge Structural Health Monitoring Using Mobile Sensor Networks حسب Amin, Fouad

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Optimizing ADWIN for Steady Streams حسب Moharram, Hassan

"…Over time, several drift detection approaches have been proposed. A prominent approach is adaptive windowing (ADWIN) which can detect changes in features data distribution without explicit feedback on the correctness of the prediction. …"
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Portable Electromagnetic Surface Profiling System حسب Al Homssi, Bassel Mohamad

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Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review حسب Daksh Dave (17949239)

"…Artificial intelligence (AI), with its ability to process vast amounts of data and detect intricate patterns, offers a solution to the limitations of traditional mammography, including missed diagnoses and false positives. …"

Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura, Habiba

"…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"
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Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura Habiba (17808302)

"…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"

Recovery of business intelligence systems حسب Haraty, Ramzi A.

"…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …"
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HARDWARE DESIGN AND VLSI IMPLEMENTATION OF A BYTE-WISE CRC GENERATOR CHIP حسب Sait, Sadiq M.

"…These include areas such as error detection and correction in data comunication, signature analysis and mass storage devices for parallel information transfers.…"
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CEAP حسب Abdel Wahab, Omar

"…We propose as well a propagation algorithm that disseminates only the final decisions (instead of the whole dataset) among clusters with the aim of reducing the overhead of either exchanging results between each set of vehicles or repeating the detection steps for the already detected malicious vehicles. …"
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Hardware design and VLSI implementation of a byte-wise CRCgenerator chip حسب Sait, Sadiq M.

"…These include areas such as error detection and correction in data communications, signature analysis, and mass storage devices for parallel information transfers…"
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Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters حسب Sakib Mahmud (15302404)

"…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …"

An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization حسب Majdi Mansouri (16869885)

"…The main idea behind the use of the PSO algorithm is to remove irrelevant features and extract only the most significant ones from raw data in order to improve the classification task using a neural networks classifier. …"

A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security حسب S. Shitharth (12017480)

"…Then, the Conjugate Self-Organizing Migration (CSOM) optimization algorithm is deployed to select the most relevant features to train the classifier, which also supports increased detection accuracy. …"

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. …"

Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects حسب ALKAABI, ABDULLA

"…Construction data management and integration are difficult. AI algorithms depend on data for training and analysis. …"
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Test time minimization for system-on-chip with test bus assignment and sizin حسب Harmanani, Haidar M.

"…Test access mechanism (TAM) is responsible for test data transport and is characterized by its bandwidth capacity. …"
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