Extreme outage prediction in power systems using a new deep generative Informer model حسب Razieh Rastgoo (22457767)

"…In addition, a new classification-specific loss function is proposed for the minimax objective function of the Vanilla Generative Adversarial Network to improve the prediction performance in the latent space. …"

Developing Privacy Frameworks for Motion Sensor Data in Next-Generation Wearable Devices حسب Ahmed, Ragad Moustafa

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Improved Cognitive Vigilance Assessment after Artifact Reduction with Wavelet Independent Component Analysis حسب Abu Farha, Nadia

"…In the delta, theta, and alpha bands, we obtained a mean classification accuracy of 84.66% using the ICA method, whereas the mean accuracy using the wICA methodwas 96.9%. …"
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Cognitive Vigilance Enhancement using Audio Stimulation of Pure Tone at 250 Hz حسب Yahya, Fares

"…Results also showed that the classification performance using DE has outperformed the other entropy measures by an average of +8.07%. …"
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Extreme outage prediction in power systems using a new deep generative Informer model حسب Rastgoo, Razieh

"…In addition, a new classification-specific loss function is proposed for the minimax objective function of the Vanilla Generative Adversarial Network to improve the prediction performance in the latent space. …"
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AN ALGORITHM FOR IRIS IDENTIFICATION USING FOURIER DESCRIPTORS حسب Deriche, M.

"…Preliminary results showed a classification success of around 96%. The technique is robust to additive noise, cropping, scale, rotation, translation, and is computationally efficient.…"
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Stoltzfus Library circulation and search system. (c1997) حسب Murtada, Khadijah A.

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Critical Appraisal of the Clinical and Pathologic Predictors of Survival After Resection of Large Hepatocellular Carcinoma حسب Abdalla, Eddie

"…Patient survival was stratified according to a clinical scoring system and pathologic T classification. Results The perioperative mortality rate was 5%. …"
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An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering حسب Surjeet Dalal (4906894)

"…The tumor images were separated from non-tumor images using the AMSOM classification approach. At last, the FKM was used to distinguish the tumor region from the surrounding tissue. …"

Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents حسب Muhammad E. H. Chowdhury (14150526)

"…We evaluated the performance of dry electrodes and different electrode configurations and measured overall power consumption of the system. Linear classification and several machine algorithms were trained and tested for real-time application. …"

Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning حسب Zaib Akram (22224541)

"…This comprehensive comparison with current leading approaches highlights the potential of Kidney Ensemble-Net as a powerful tool for the precise and reliable classification of kidney renal carcinoma, paving the way for improved diagnostic and treatment strategies.…"

Machine Learning Models Reveal Key Performance Metrics of Football Players to Win Matches in Qatar Stars League حسب Jassim Almulla (14153178)

"…We formulated this study as a classification framework in the machine learning (ML) context to distinguish the winning team from the losing team in a match. …"

Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC حسب Abhilash Dutta Roy (22466830)

"…We used Landsat satellite imagery and a Random Forest classification algorithm to map various land cover classes along the GCC coastline. …"

Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models حسب Saad Hameed (6488738)

"…Llama3 achieved a 20% to 40% reduction in model calls for regression tasks, whereas ChatGPT-3.5 reduced model calls by 60% for both regression and classification tasks, all while preserving accuracy and error rates. …"

Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI حسب Janaka Senanayake (21749174)

"…Trained on the LVDAndro dataset, the vanilla neural network model achieves a 96% accuracy and 0.96 F1-Score in binary classification for vulnerability detection. Additionally, in multi-class classification, the model accurately identifies Common Weakness Enumeration (CWE) categories with a 93% accuracy and 0.91 F1-Score. …"

A Study of the Impact of the Climate and Land-use/Land-cover (LULC) Changes on the UAE Mangrove Forests over the Period 1990-2020 حسب Raihan, Asif

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Detection of Double and Triple Compression in Videos for Digital Forensics Using Machine Learning حسب Youssef, Seba

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Novel Near-Field Microwave Testing Method for Outdoor Insulators حسب Saker, Yasser Adel

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Modeling of permeability impairment dynamics in porous media: A machine learning approach حسب Ahmed, Elrahmani

"…The first is a throat-classification MLSM; which classifies the throats based on their location and size to identify clogged throats. …"
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A Framework for Building an Educational Question Answering System حسب Samy, Heba

"…A rule-based question classification method is created as well as a querying process depending on named entity recognition and pre-made templates.…"
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