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Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
Published 2020“…In this work, we have detected TB reliably from the chest X-ray images using image pre-processing, data augmentation, image segmentation, and deep-learning classification techniques. …”
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183
Membrane Bioreactor-Desalination Microbial Fuel Cell Hybrid System
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Comparative study of SPI success factors in global and in-house environment for large-scale software companies
Published 2023“…<h3>Background</h3><p dir="ltr">Software process improvement (SPI) is an indispensable phenomenon in the evolution of a software development company that adopts global software development (GSD) or in-house development. …”
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Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces
Published 2021“…The model with all the surface morphological features, liquid thermophysical properties, and pool boiling testing parameters demonstrates the highest correlation coefficient, R<sup>2</sup> = 0.985, for HTC prediction. …”
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Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings
Published 2021“…To evaluate the effectiveness of the proposed mobile app and RL framework, a series of studies based on participatory design research, mixed-methods usability evaluation, and pre-test/post-test quasi-experimental research methodology were conducted. …”
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Advanced design and Engi-economical evaluation of an automatic sugarcane seed cutting machine based RGB color sensor
Published 2024“…The machine’s performance was evaluated by measuring the damage index at sugarcane stalk diameters of 2.03, 2.72, 3.42, and 3.94 cm. where two different types of rotary saw knives had the same diameter of 7.0 in/180 mm the two knives had 30 and 80 teeth, also we used five cutting times of 1000, 1500, 2000, 2500, and 3000 ms. All tests were done at a fixed cutting speed of 12000 rpm. …”
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Dynamic Joint Allocation of EV Charging Stations and DGs in Spatio-Temporal Expanding Grids
Published 2020“…We validate the proposed stochastic geometry-based power grid model against IEEE 123-bus test system. Then, we present a case study for a 5-year CSs deployment plan.…”
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Reduction of laboratory utilization in the intensive care unit
Published 2016“…Objective: In our academic intensive care unit (ICU), there is excess ordering of routine laboratory tests. This is partially due to a lack of transparency of laboratory-processing costs and to the admission order plans that favor daily laboratory test orders. …”
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Geotechnical Performance of Dredged Material—Steel Slag Fines Blends
Published 2012“…The source materials (100% DM, 100% SSF) were evaluated along with [Math Processing Error], [Math Processing Error], [Math Processing Error], [Math Processing Error], and [Math Processing Error] DM-SSF blends (dry weight basis), where the DM content is reported first. …”
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Aging Effects in Field-Compacted Dredged Material
Published 2013“…The addition of SSF to the 100% DM resulted in significant pH buffering and in strength increases up to a factor of 2, as measured by the average cone penetrometer test (CPT) tip resistance. Refusal ( or [Math Processing Error]) was encountered in the 100% SSF embankment at a depth of approximately 1.5 m. …”
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Machine vision algorithm for MCQ automatic grading – MVAAG
Published 2025“…MCQ was created as a response to demands for objective and standardised tests for large populations of test takers as in national tests in education, military assessments, surveys, etc. …”
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Comparing deep learning models for low-light natural scene image enhancement and their impact on object detection and classification: Overview, empirical evaluation, and challenges
Published 2022“…Low-light image (LLI) enhancement is an important image processing task that aims at improving the illumination of images taken under low-light conditions. …”
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A Novel Hadoop Security Model for Addressing Malicious Collusive Workers
Published 2021“…A new component called malicious workers’ trap (MWT) is developed to run on the master node to detect malicious (noncollusive and collusive) workers as they convert and attack the system. An implementation to test the proposed model and to analyze the performance of the system shows that the proposed model can accurately detect malicious workers with minor processing overhead compared to vanilla MapReduce and Verifiable MapReduce (V-MR) model [1]. …”
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MAX-Sense
Published 2005“…We also present a prototype system implementation that was developed to test the performance of the developed architecture.…”
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Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
Published 2018“…We have conducted a battery of experiments to test the performance of SemIndex, evaluating its construction time, storage size, query processing time, and result quality, in comparison with legacy inverted index. …”
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