بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
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981
Industrial Internet of Things enabled technologies, challenges, and future directions
منشور في 2023"…This paper explores IIoT-enabled technologies and infrastructure, their role in global industrial growth, applications, challenges, and future directions. IIoT applications use the intelligence of things to solve industrial problems like supply chain mismanagement, data privacy risks, a weak cloud strategy, cost containment, and others. …"
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article -
982
Scatter search technique for exam timetabling
منشور في 2011"…We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. …"
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article -
983
Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning
منشور في 2025"…This article provides an updated review of the cutting-edge machine learning and data-driven techniques used for PGP in networked PSs. …"
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984
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
منشور في 2024"…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …"
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985
Industrial Internet of Things enabled technologies, challenges, and future directions
منشور في 2023"…This paper explores IIoT-enabled technologies and infrastructure, their role in global industrial growth, applications, challenges, and future directions. IIoT applications use the intelligence of things to solve industrial problems like supply chain mismanagement, data privacy risks, a weak cloud strategy, cost containment, and others. …"
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986
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987
A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
منشور في 2024"…Study selection, quality assessment, and data extraction were performed independently by four authors. …"
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988
Precision nutrition: A systematic literature review
منشور في 2021"…Therefore, we carried out a Systematic Literature Review (SLR) to provide an overview of where and how machine learning has been used in Precision Nutrition from various aspects, what such machine learning models use as input features, what the availability status of the data used in the literature is, and how the models are evaluated. …"
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989
Transformations for Variants of the Travelling Salesman Problem and Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
990
Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review
منشور في 2025"…MethodsPreferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was adapted for searching the PubMed and Scopus databases on ML use in TAVI outcomes prediction. Once the studies that meet the inclusion criteria were identified, data from these studies were retrieved and were further examined. 17 parameters relevant to TAVI outcomes were carefully identified for assessing the quality of the included studies. …"
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article -
991
Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations
منشور في 2025"…To address this challenge, this study aims to optimize household energy consumption while preserving data privacy by proposing an innovative two-stage Federated Learning (FL) framework that delivers real-time micro-moment-based recommendations. Leveraging FL enables efficient model training across diverse end-user applications while preserving data privacy. …"
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992
Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review
منشور في 2023"…In this question, we also determined the various models, frameworks, techniques and algorithms suggested by ANNs for the security advancements of IoT. …"
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993
The role of Reinforcement Learning in software testing
منشور في 2023"…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…"
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994
Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems
منشور في 2021احصل على النص الكامل
doctoralThesis -
995
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996
Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)
منشور في 2018"…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …"
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997
Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis
منشور في 2023"…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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احصل على النص الكامل
article -
998
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999
An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids
منشور في 2020"…A polynomial correlation model, the adaptive neuro-fuzzy inference system model and an artificial neural network model optimised with three different learning algorithms. …"
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1000
Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review
منشور في 2025"…</p><h3>Methods</h3><p dir="ltr">Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was adapted for searching the PubMed and Scopus databases on ML use in TAVI outcomes prediction. Once the studies that meet the inclusion criteria were identified, data from these studies were retrieved and were further examined. 17 parameters relevant to TAVI outcomes were carefully identified for assessing the quality of the included studies. …"