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A comparative analysis of MIP formulations for the multi-mode resource-constrained independent task scheduling problem
Published 2025“…We propose three pseudo-polynomial mixed-integer programming formulations and conduct a theoretical comparative analysis of their respective linear programming relaxations. …”
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A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming
Published 2020“…The role of medical big data becomes a challenging task in the form of storage, required information retrieval within a limited time, cost efficient solutions in terms care, and many others. …”
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UAV-assisted Multi-tier Computing Framework for IoT Networks
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AI technique for load flow planning and contingency analysis
Published 1991Get full text
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Sentiment analysis for Arabizi in social media. (c2015)
Published 2015Get full text
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On Leveraging the Computational Potential of Fog-Enabled Vehicular Networks
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A Comprehensive Review on Deep Learning Assisted Computer Vision Techniques for Smart Greenhouse Agriculture
Published 2024“…Future trends and prospects are discussed to provide guidance for researchers exploring computer vision in the niche greenhouse domain. By condensing prior work and elucidating the state-of-the-art, this timely review aims to promote continued progress in smart greenhouse agriculture. …”
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A Unified Analysis Approach for Hardware and Software Implementations
Published 2016“…The two main targeted high performance computing devices are multi-core processors for software implementations and high-end Field Programmable Gate Arrays for hardware implementations.…”
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Use of mobile devices in mathematics education: A case of higher education in the United Arab Emirates
Published 2017“…The term mobile learning or m-learning refers to the educational practices in which portable, handheld computing devices are integrated. Such devices have powerful computation as well as networking features. …”
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Large language models for code completion: A systematic literature review
Published 2024“…Additionally, this study identifies open research problems and outlines future research directions. Our analysis reveals that LLMs significantly enhance code completion performance across several programming languages and contexts, and their capability to predict relevant code snippets based on context and partial input boosts developer productivity substantially.…”
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…<p dir="ltr">Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness. …”
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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“…We address LLI enhancement in two ways: (i) standalone, as a separate task, and (ii) end-to-end, as a pre-processing stage embedded within another high-level computer vision task, namely object detection and classification. …”
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Low-Light Image Enhancement for Object Classification using Deep Learning
Published 2021“…We address LLI enhancement in two ways: i) standalone, as a separate task, and ii) end-to-end, as a pre-processing stage embedded within another high-level computer vision task, namely object detection and classification. …”
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Transforming Towards Secure Global Trade for Customs Administrations Powered by Blockchain
Published 2020“…The trade supply chain involves several participants each performs its task based on the documents that are provided by the other participant in the trade supply chain. …”
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