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  • Books  (5)
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  • MDPI - Multidisciplinary Digital Publishing Institute  (5)
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  • Books  (5)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-01-31
    Description: This edited book presents new results in the area of algorithm development for different types of scheduling problems. In eleven chapters, algorithms for single machine problems, flow-shop and job-shop scheduling problems (including their hybrid (flexible) variants), the resource-constrained project scheduling problem, scheduling problems in complex manufacturing systems and supply chains, and workflow scheduling problems are given. The chapters address such subjects as insertion heuristics for energy-efficient scheduling, the re-scheduling of train traffic in real time, control algorithms for short-term scheduling in manufacturing systems, bi-objective optimization of tortilla production, scheduling problems with uncertain (interval) processing times, workflow scheduling for digital signal processor (DSP) clusters, and many more.
    Keywords: QA75.5-76.95 ; QA1-939 ; Scheduling under Resource Constraints ; Enumerative Algorithms ; Scheduling under Uncertainty ; Assembly Scheduling ; Timetabling ; Approximation Algorithms ; Scheduling Problems in Logistics ; Complex Scheduling Problems ; Engineering ; Complexity Issues ; Scheduling Heuristics and Metaheuristics ; Agent Based Scheduling ; Just-in-Time Scheduling ; Real-Time Scheduling ; Scheduling Problems in Segments of a Supply Chain ; Healthcare ; Evolutionary Algorithms ; Energy Management etc. ; Transport ; Vehicle Routing ; Sports
    Language: English
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-05
    Description: Nanofibers, particularly those of a carbonaceous content, have received increased interest in the past two decades due to their outstanding physico-chemical characteristics and their possibility to form and contribute towards a plethora of potentially advantageous materials for consumer, industrial and medical applications. Despite this, and together with the numerous research studies and published articles that have sought to investigate these aspects, the potential impact of CNTs is still not understood. Whether or not nanofibers may be able to provide a sophisticated alternative to conventional materials is still debatable, whilst their effects upon both environmental and human health are highly equivocal. How nanofibers are conceived can determine how they may interact with different environments, such as the human body. Understanding each key step of the synthesis and production of nanofibers to their use within potential applications is therefore essential in gaining an insight into how they may be perceived by any biological system and environment. Thus, obtaining such information will enable all scientific communities to begin to realize the potential advantages posed by nanofibers. The aim of this Special Issue therefore, was to provide a collective overview of nanofibers; ‘from synthesis to application’. The Issue particularly focuses upon carbon-based nanofibers, but also highlights alternative nanofiber types. Emphasis is given holistically, with articles discussing the production routes of nanofibers, their plight during their life-cycle (origin to applied form and effects over time), as well as how nanofibers could either incite conflict, or provide aid to human and environmental health.
    Keywords: QD1-999 ; Toxicology ; Chemistry ; Biology ; Material Science ; Nanofibers ; Nanotechnology ; thema EDItEUR::P Mathematics and Science::PN Chemistry
    Language: English
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Artificial intelligence is a term that refers to the ability to provide machines with human intelligence. In medicine it is becoming widely used. It finds application especially in the diagnostic and tumor fields. It is not yet able to replace the human brain, but several studies show how its support can be useful in making diagnoses and providing prognoses. This reprint addresses various satellite topics of this discipline, giving practical examples in various clinical fields. In addition, it highlights the strengths of this tool and proposes methods to improve its weaknesses by addressing issues such as increasing data sets and selecting the right features. It also addresses other innovative aspects that together with artificial intelligence can lead to improvements in surgery.
    Keywords: Artificial Intelligence ; Automatic ; Diagnostics ; Engineering ; Imaging ; Machine Learning ; Deep Learning ; Features ; Biomedics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The 3rd International Conference on Advances in Mechanical Engineering 2023 (ICAME-23) was organized on 24th August 2023 by the Department of Mechanical Engineering, Capital University of Science and Technology (CUST). All the articles are single-blindfold reviewed. The acceptance rate of the conference was 65%. ICAME is held annually and welcame high-quality theoretical and empirical original research papers, case studies, and review papers from researchers, academicians, professionals, practitioners, and students worldwide. ICAME-23 accepted research papers in the discipline of: Experimental and Computational Fluid Dynamics; Thermodynamics and heat transfer analysis; Machine and Mechanisms; Design and Solid Mechanics; Manufacturing, Production and Industrial Engineering; Engineering and Technology Management; Renewable Energy and Environmental Engineering; Bioengineering; Materials and Failure Analysis; Other Related Fields. The ICAME-23 conference provided a platform for the national and international speakers/participants to present their state-of-the-art research work to diverse audiences from academia and industry. The conference proceedings are published in the Engineering Proceeding of MDPI, Switzerland. All the articles are individually indexed and are citable via Digital Object Identification (DOI).
    Keywords: Engineering ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
    Language: English
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  • 5
    Publication Date: 2023-12-20
    Description: This volume features thirteen original chapters on the causes and consequences of gender segregation in scientific, technical, engineering, and mathematics (“STEM”) occupations and fields of study. Although women have made great strides in equalizing access to labor markets and higher education, many STEM fields—particularly in the physical sciences and engineering—remain strongholds of gender segregation in the United States and other reputably gender-progressive societies. Policymakers, business leaders and activists have launched countless initiatives to diversify access to lucrative, high status occupations and ameliorate labor shortages that diminish innovation and competitiveness. Contributors to this volume apply diverse theoretical lenses and methodological approaches to understand the individual, interactional, organizational, and cultural dynamics that drive this segregation in the United States. Results show that the gender composition of scientific and technical fields varies a great deal over time and across organizational contexts and socio-demographic groups defined by race, ethnicity, class, and sexuality. But despite this variability, STEM work and STEM workers are widely presumed to be naturally and inevitably masculine. Research presented here reveals how these stereotypes combine with cultural beliefs about natural and fundamental differences between men and women to produce gendered aspirations and reinforce inequalities in the US scientific and technical workforce.
    Keywords: HM401-1281 ; NX1-820 ; H1-99 ; Women ; Engineering ; Segregation ; Race/ethnicity ; Men ; Sexuality ; Science ; Mathematics ; Gender ; STEM ; Inequality ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFF Social issues & processes::JFFP Social interaction
    Language: English
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