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841
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
Published 2023“…Transfer learning is applied using a pre-trained DenseNet201 network to develop four distinct CNN models separately trained on word, pseudoword, difficult word, and sentence images. …”
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842
A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications
Published 2011“…However, the computational as well as memory access requirements of compression algorithms could consume more energy than simply transmitting data uncompressed. …”
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843
Privacy Preserving Cancellable Template Generation for Crypto-Biometric Authentication System
Published 2025“…The proposed methodology not only ensures the protection of biometric data in storage but also facilitates secure data retrieval for authentication purposes. …”
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844
Theoretical Estimation of the Dispersion Curves in an Orthotropic Composite Plate
Published 2024“…The obtained phase and group velocity dispersion curves from MATLAB using the in-house developed code are validated with a freely available Dispersion software and found to be in good agreement. …”
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845
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
Published 2024Get full text
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846
Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models
Published 2024“…A key contribution of this work is the development and evaluation of hybrid Deep Learning Models that combine CNN-BI-LSTM, CNN-GRU, GRU-CNN, GRU-BI-LSTM, and GRU-ANN architectures. …”
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847
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848
Decision-level Gait Fusion for Human Identification at a Distance
Published 2014Get full text
doctoralThesis -
849
Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care
Published 2024“…Third, privacy rules concerning data use may undermine developers’ ability to train accurate AI systems, limiting their usefulness in PA-LTC contexts. …”
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850
Investigating the Impact of Skylights and Atrium Configurations on Visual Comfort and Daylight Performance in Dubai Shopping Malls
Published 2025“…Annual simulations are used to assess seasonal variations, while sensitivity analysis identifies key parameters. A genetic algorithm and multi-objective optimisation (MOO) simulations are used to generate optimal configurations, summarised in the form of a Pareto front selection criteria guide the choice of the optimum solution, which is then applied and analysed in a case study. …”
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851
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852
Modeling and Control of Nonlinear Systems Using Wavelet Networks
Published 2006Get full text
doctoralThesis -
853
Thermal convection of fluid in fractured media
Published 1995“…Including this phenomenon in a modelling process led us to propose a development of the UDEC code. …”
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854
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855
General Inspection Plan For Critical Multicharacteristic Components
Published 2020“…A decent type algorithm is proposed to determine the optimal number of repeat inspections and sequence characteristics for inspection that minimizes the expected total cost. …”
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856
Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
Published 2020“…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. The effect of long-term drift influences the performance of ML algorithms and the models those are trained on drift free data fail to perform on the drifted data. …”
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857
Exploring AI Conversational Chatbot UX Design: Insights from High School
Published 2025“…Despite the fact that high school is one of the most critical stage in a student’s life, there is a lack of studies that focused on developing effective interactive high school advising chatbots. …”
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858
Dynamic multiple node failure recovery in distributed storage systems
Published 2018“…Our daily lives are getting more and more dependent on data centers and distributed storage systems in general, whether at the business or at the personal level. …”
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859
Computer-aided detection of Melanoma using geometric features
Published 2017“…In this work, we investigate the use of geometric features to differentiate between a benign lesion and a malignant one. The k-Nearest Neighbors (k-NN) machine learning algorithm is used to classify 15 lesions based on their ABD features. …”
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conferenceObject -
860
Predicting stability of classes in an object-oriented system
Published 2010“…The stability of a class in object-oriented system is one software quality characteristic that is important to assess at the early development stages. …”
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