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Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues
(Assoc Computing Machinery, 2023)
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) has lately cropped up due to high adjustability ...
Evaluating the Effect of Human Factors on Big Data Analytics and Cloud of Things Adoption in the Manufacturing Micro, Small, and Medium Enterprises
(IEEE Computer Soc, 2022)
The purpose of the study is to explore and analyze human factors that influence big data analytics and the cloud of things adoption across Indian micro, small, and medium enterprises (MSMEs). The human factors were identified ...
Efficiency analysis technique with input and output satisficing approach based on Type-2 Neutrosophic Fuzzy Sets: A case study of container shipping companies
(Pergamon-Elsevier Science Ltd, 2023)
This work tries to discuss and evaluate the advantages and superiorities of the extended Efficiency Analysis Technique with Input and Output Satisficing (EATWIOS) method based on Type-2 Neutrosophic Fuzzy Numbers (T2NFNs). ...
Fresh food supplier selection for global retail chains via bipolar neutrosophic methodology
(Elsevier Sci Ltd, 2023)
Due to increases in world population, rapid urbanization, increasing environmental pollution, and poorly managed food supply chains (FSCs), supplying clean and reliable agri-food has become more critical. Furthermore, ...
Achieving Sustainability in Solar Energy Firms in Turkey through Adopting Lean Principles
(Mdpi, 2022)
Lean principles and sustainability are considered important terms in business. Solar firms are witnessing great competition to fulfill energy requirements, suffering from a huge amount of waste, negatively affecting the ...
A Heuristic Methods-Based Power Distribution System Optimization Toolbox
(Mdpi, 2022)
This paper proposes a toolbox for simulating the effective integration of renewable energy sources into distribution systems. The toolbox uses four heuristic methods: the particle swarm optimization (PSO) method, and three ...
Evaluating and selecting sustainable logistics service providers for medical waste disposal treatment in the healthcare industry
(Elsevier Sci Ltd, 2023)
Health institutes are structurally growing depending on the population increase and escalating demands for health services. As a negative result, the health industry produces more healthcare waste daily. Its efforts and ...
Managing Crisis in the Tourism Industry: How Pessimism Has Changed to Optimism?
(Inst Tourism, 2022)
This study aims to investigate how the coronavirus has resulted in harmful effects on the tourism industry and how it has most likely shaken the common traditional practices that the industry had followed for years. With ...
A YARN-based Energy-Aware Scheduling Method for Big Data Applications under Deadline Constraints
(Springer, 2022)
Hadoop is a distributed framework for processing big data. One of the critical parts of Hadoop is YARN, which carries out scheduling and resource management. A scheduling algorithm should consider multiple objectives. ...
Evaluation of irrigation methods in Soke Plain with HF-AHP-PROMETHEE II hybrid MCDM method
(Elsevier, 2022)
Soke Plain (Turkey) is one of the two plains where cotton production is the highest in Turkey, the leading country for cotton production in the Mediterranean Basin. The cropping pattern in Soke Plain is dominated by cotton ...