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Toplam kayıt 107, listelenen: 91-100
Using blockchain technology to drive operational excellence in perishable food supply chains during outbreaks
(Emerald Group Publishing, 2021)
Purpose This paper aims to explore the potential of blockchain technology (BT) to support the operational excellence in perishable food supply chain (PFSC) during outbreaks, by doing use-case analysis. Design/methodology/approach ...
Simulation based approach for high-throughput stacking processes in battery production
(MDPI-Multidisciplinary Digital Publishing Institute, 2021)
What are the benefits of simulation-driven design and optimization of stacking processes in battery cell production? This question is addressed within the scope of the paper. This work proposes a method to reduce the effort ...
Metaheuristic optimization of laminated composite plates with Cut-Outs
(MDPI-Multidisciplinary Digital Publishing Institute, 2021)
The stacking sequence optimization of laminated composite plates while maximizing the structural performance or minimizing the weight is a subject investigated extensively in the literature. Meanwhile, research on the ...
Characterization of CP-Titanium produced via binder jetting and conventional powder metallurgy
(CSIC-Consejo Superior Investigaciones Cientificas, 2022)
Titanium (Ti) and its alloys are among the most commonly used materials in biomedical applications. In addition to being biocompatible, these materials have notable low density and high corrosion resistance and mechanical ...
Artificial intelligence and machine learning applications in agricultural supply chain: a critical commentary
(Fresenius Environmental Bulletin, 2021)
Integration of AI and ML technologies in the agricultural supply chain (ASC) is revolutionalizing, the domain by bringing in robust monitoring and prediction as well as quick decision-making abilities. A comprehensive ...
Additive manufacturing technologies and its future in industrial applications
(Universiti Tun Hussein Onn Malaysia, 2021)
Additive manufacturing technologies have developed rapidly in the last ten years and have become a technology with significant advantages compared to traditional manufacturing. Depending on discovering new materials and ...
Optimum design of cylindrical walls using ensemble learning methods
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
The optimum cost of the structure design is one of the major goals of structural engineers. The availability of large datasets with preoptimized structural configurations can facilitate the process of optimum design ...
Optimum design of timber structures under fire using metaheuristic algorithm
(Croatian Association of Civil Engineers, 2022)
One of the major tasks of structural engineers is to reduce the building cost. Thus, an effective optimization of structural elements is gaining in importance every day. The teaching-learning-based optimization (TLBO), ...
Efficiency of deep neural networks for joint angle modeling in digital gait assessment
(Springer Open, 2021)
Reliability and user compliance of the applied sensor system are two key issues of digital healthcare and biomedical informatics. For gait assessment applications, accurate joint angle measurements are important. Inertial ...
Application of machine learning methods for pallet loading problem
(MDPI-Multidisciplinary Digital Publishing Institute, 2021)
Because of continuous competition in the corporate industrial sector, numerous companies are always looking for strategies to ensure timely product delivery to survive against their competitors. For this reason, logistics ...