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121
Evaluation of high-temperature reverse osmosis for recycling boiler blowdown in industrial applications
Published 2024“…By recycling the permeate at high temperature, the heat energy in the hot stream is being reused to minimize energy input for boilers. In this study, the feasibility of this novel HTRO application, for direct treatment of real boiler blowdown stream, was evaluated. …”
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Towards estimation of CO<sub>2</sub> adsorption on highly porous MOF-based adsorbents using gaussian process regression approach
Published 2021“…Also, the sensitivity analysis was employed to investigate the effectiveness of input variables on the CO<sub>2</sub> adsorption, through which it was determined that pressure is the most determining parameter. …”
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124
Open Space Indoor Navigation with RSS Sequence Transduction Neural Networks
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masterThesis -
125
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126
Arabic Hotel Reviews Sentiment Analysis Using Deep Learning
Published 2023“…Our models utilized advanced text preprocessing, feature extraction, and classification algorithms to accurately predict sentiment polarity in Arabic hotel reviews. …”
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127
A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net
Published 2023“…Although, there are dedicated audio processing DNNs, yet, many recent models of AE have utilized U-Net: a DNN based on Convolutional Neural Network (CNN), fundamentally developed for image segmentation. …”
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128
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129
Parallel Implementations for Eliminating Finite State Machine Mutants
Published 2017Get full text
doctoralThesis -
130
Predicting Remaining Cycle Time from Ongoing Cases: A Survival Analysis-Based Approach
Published 2020“…Predicting the remaining cycle time of running cases is one important use case of predictive process monitoring. Different approaches that learn from event logs, e.g., relying on an existing representation of the process or leveraging machine learning approaches, have been pro posed in literature to tackle this problem. …”
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131
Impact of Sampling Technique on the Performance of Surrogate Models Generated with Artificial Neural Network (ANN): A Case Study for a Natural Gas Stabilization Unit
Published 2019“…<div><p>Data-driven models are essential tools for the development of surrogate models that can be used for the design, operation, and optimization of industrial processes. One approach of developing surrogate models is through the use of input–output data obtained from a process simulator. …”
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132
A Graph Heuristic Approach for the Data Path Allocation Problem
Published 2022“…More speci cally, this automation process known as high-level synthesis (HLS), targets the datapath allocation problem in VLSI design. …”
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masterThesis -
133
Non-Linear Profile Monitoring Using Artificial Neural Network Fault Detection
Published 2018Get full text
doctoralThesis -
134
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135
The history and development of newspaper electronic pagination systems in the United States, 1975-1987
Published 1990“…One of the findings of the survey was that survey respondents felt that while pagination was a vast improvement over old methods (hot type), it did not necessarily bring vast improvements in cost and speed over cold type processes that were already in place. This was perhaps, due to the unevenness with which the total pagination process has developed, and the continuing problems involved in merging line-art and graphics with text. …”
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masterThesis -
136
Sentiment visualization of correlation of loneliness mapped through social intelligence analysis
Published 2024“…By using natural language (NLP) processing, sentiment analysis, and topic modeling, we seek to understand prevalent sentiments and concerns. …”
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Enhancing Arabic Offensive Tweet Classification: An Ensemble Approach Integrating AraBERT, Neural Networks, and LSTM Models
Published 2023“…Secondly, it investigates the effects of employing novel pre-processing methods on the performance of Arabic Text Classification. …”
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139
Anatomy and Neural Pathways Modulating Distinct Locomotor Behaviors in Drosophila Larva
Published 2021“…How behavioral responses to various sensory inputs are processed and integrated by the downstream neural network to produce flexible and adaptive behaviors remains an intense area of investigation in many laboratories. …”
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140
AI-Aided Robotic Wide-Range Water Quality Monitoring System
Published 2024“…A morphological image processing technique of light microscopic images is used to segment images, assisting in selecting a unified appropriate input segment size based on individual blob areas of different bacterial cultures. …”
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