Reverse logistics risk management: identification, clustering and risk mitigation strategies

H Panjehfouladgaran, SFWT Lim - Management Decision, 2020 - emerald.com
Purpose Reverse logistics (RL), an inseparable aspect of supply chain management, returns
used products to recovery processes with the aim of reducing waste generation. Enterprises …

[HTML][HTML] Effects of urbanization-induced local alterations on the diversity and assemblage structure of macroinvertebrates in low-order streams

A Bohus, B Gál, B Barta, I Szivák, K Karadi-Kovacs… - Hydrobiologia, 2023 - Springer
Urbanization is one of the most serious threats to stream ecosystems worldwide. It is crucial
to understand its effects on stream organisms as a prerequisite for the mitigation of urban …

AHSS applications in Industry 4.0: Determination of optimum processing parameters during coiling process through unsupervised machine learning approach

AK Srivastava, PK Patra, R Jha - Materials Today Communications, 2022 - Elsevier
In this work, actual production data from a rolling mill has been analyzed through the
concept of Self Organizing Maps (SOM) for understanding various correlations and patterns …

[图书][B] Artificial Intelligence-aided Materials Design: AI-algorithms and Case Studies on Alloys and Metallurgical Processes

R Jha, BK Jha - 2022 - taylorfrancis.com
This book describes the application of artificial intelligence (AI)/machine learning (ML)
concepts to develop predictive models that can be used to design alloy materials, including …

Comparison of multimodal findings on epileptogenic side in temporal lobe epilepsy using self-organizing maps

A Fallahi, M Pooyan, JM Habibabadi… - … Resonance Materials in …, 2021 - Springer
Objective To develop a decision-making tool to evaluate and compare the performance of
neuroimaging markers with clinical findings and the significance of attributes for presurgical …

Self-organizing maps for pattern recognition in design of alloys

R Jha, GS Dulikravich, N Chakraborti… - Materials and …, 2017 - Taylor & Francis
ABSTRACT A combined experimental–computational methodology for accelerated design
of AlNiCo-type permanent magnetic alloys is presented with the objective of simultaneously …

[HTML][HTML] Design of high temperature Ti–Al–Cr–V alloys for maximum thermodynamic stability using self-organizing maps

R Jha, GS Dulikravich - Metals, 2019 - mdpi.com
Data generated for the Ti–Al–Cr–V system of metallic alloys from our previous publication,
where the composition of 102 alloys were computationally Pareto optimized with the …

[HTML][HTML] Data-Driven Models for Evaluating Coastal Eutrophication: A Case Study for Cyprus

E Hadjisolomou, M Rousou, K Antoniadis, L Vasiliades… - Water, 2023 - mdpi.com
Eutrophication is a major environmental issue with many negative consequences, such as
hypoxia and harmful cyanotoxin production. Monitoring coastal eutrophication is crucial …

Data-Driven Models' Integration for Evaluating Coastal Eutrophication: A Case Study for Cyprus

E Hadjisolomou, M Rousou, K Antoniadis, L Vasiliades… - 2023 - preprints.org
Eutrophication is a major environmental issue with many negative consequences, such as
hypoxia and harmful cyanotoxins production. Monitoring coastal eutrophication is a crucial …

[PDF][PDF] Folyóvízi szövőtegzes-lárvák (Trichoptera: Hydropsychidae) zonális előfordulásának okai, magyarázata, modellezése és alkalmazott ökológiai vonatkozásai …

F Márk - 2024 - pea.lib.pte.hu
PÉCSI TUDOMÁNYEGYETEM Folyóvízi szövőtegzes-lárvák (Trichoptera: Hydropsychidae)
zonális előfordulásának okai, magya Page 1 PÉCSI TUDOMÁNYEGYETEM Biológiai és …