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Second-order conic programming for data envelopment analysis models
Published 2022“…As far as known, no MATLAB function solves DEA models. …”
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Hybrid Deep Learning-based Models for Crop Yield Prediction
Published 2022“…<p dir="ltr">Predicting crop yield is a complex task since it depends on multiple factors. Although many models have been developed so far in the literature, the performance of current models is not satisfactory, and hence, they must be improved. …”
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Case note: The International Court of Justice’s 2022 reparations judgment in <i>DRC v. Uganda</i>
Published 2025“…This case sets a precedent for State responsibility in mass violations of international law but highlights challenges in quantifying harm and ensuring equitable reparations. The Court’s reasoning and methods in the case may influence future cases involving State responsibility, armed conflicts, and reparative justice under international law.…”
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Large language models for code completion: A systematic literature review
Published 2024“…Therefore, we aimed to perform a Systematic Literature Review (SLR) study to investigate how LLMs have been applied for code completion so far. We have formulated several research questions to address how LLMs have been integrated for code completion-related tasks and to assess the efficacy of these LLMs in the context of code completion. …”
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Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models
Published 2023“…In this paper, we perform a rigorous analysis of the adversarial vulnerabilities of DL-based CFP models under multiple threat settings, making three-fold contributions; 1) we propose CaV-detect by formally identifying two novel properties— C onsistency a nd V alidity—of the CFP inputs that enable the detect ion of standard adversarial inputs with 0% false acceptance rate (FAR); 2) we leverage universal adversarial perturbations and an adaptive adversarial loss to present adaptive adversarial attacks to evade CaV-detect defense; 3) we propose CVP, a C onsistent, V alid and P hysically-realizable adversarial attack, that explicitly inducts the consistency and validity priors in the perturbation generation mechanism. …”
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Hydrogen production and nutrient recovery from seawater by electrodialysis assisted with ion-exchange resins
Published 2024“…Several experiments are conducted using seawater under varying current densities and voltages, achieving a 96.23% removal of harmful ions (NaCl) from the seawater. …”
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Liposomal drug release using ultrasound and modeling release dynamics for model predictive controller design
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Egypt. (c2018)
Published 2018“…After deposing the Muslim Brotherhood-affiliated president, Mohamad Morsi, the Egyptian Supreme Council of the Armed Forces ensured the retrieval of power to the hands of the military. …”
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The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies
Published 2021“…However, the outcomes were far from being uniform for the selected cryptocurrencies: convincing for Dash and Dogcoin, acceptable for Litecoin and Monero and unconvincing for Bitcoin and Ripple, where the (optimal) model was not rejected only at the 99% confidence level.…”
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Sustainable Financing for Sustainable Development: Agent-Based Modeling of Alternative Financing Models for Clean Energy Investments
Published 2019“…To this end, this study presents a quantitative and comparative proof of concept analysis of alternative financing models in a solar farm investment simulation to investigate the change in wealth inequality and social welfare by reducing debt-based financing and increasing public participation. …”
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AN INTEGRATED SIMULATION MODEL FOR MANNING MAINTENANCE SHOPS
Published 2020“…In this paper the elements of an integrated simulation model has been described. The integrated model consists of several modules. …”
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Collaborative Byzantine Resilient Federated Learning
Published 2023“…The suggested solution is decentralized, allowing all participating nodes to jointly identify harmful individuals using a novel cross check mechanism. …”
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Modelling of pollutant transport in compound open channels
Published 1998“…The present research investigates the numerical and experimental modelling aspects of flow in compound channels, with special interest in the transport of inert pollutant aspects. …”
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Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models
Published 2022“…This type of model tuning over transfer learning provides a customized model for classification, highly optimized for a particular region. …”
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