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Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
(Springer, 2023)
Machine Learning (ML) and Deep Learning (DL) have achieved high success in many textual, auditory, medical imaging, and visual recognition patterns. Concerning the importance of ML/DL in recognizing patterns due to its ...
An integrated fuzzy MCDM approach based on Bonferroni functions for selection and evaluation of industrial robots for the automobile manufacturing industry
(Pergamon-Elsevier Science Ltd, 2023)
In recent years, there have been dramatic changes in manufacturing systems in many industries depending on technological developments. Robotics is one of the essential components of these changes. Today, the usage of ...
National identity predicts public health support during a global pandemic
(Nature Portfolio, 2022)
Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported ...
Social and moral psychology of COVID-19 across 69 countries
(Nature Portfolio, 2023)
The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive ...
Re-considering the energy efficient retrofitting approach to question cost-optimality and nZEB under COVID-19 measures
(Pergamon-Elsevier Science Ltd, 2022)
The building energy performance has been highly studied in the last decades considering the indoor environmental quality, and sustainability indicators to examine energy-efficient cost-optimal, and nZEB building levels for ...
A new service recommendation method for agricultural industries in the fog-based Internet of Things environment using a hybrid meta-heuristic algorithm
(Pergamon-Elsevier Science Ltd, 2022)
Regardless of public perceptions of the agricultural techniques, the fact is that the current agriculture industry is more data-driven, accurate, and intelligent than before. Therefore, novel technologies such as fog ...
Mnemonic regulation of sadness and anger: The role of spontaneous vs instructed recall
(Springer, 2023)
Mood-incongruency effects in autobiographical recall have been conceptualized as a function of the emotion regulation through which the content and the phenomenology of the autobiographical memories serve to repair negative ...
Optical and mechanical properties of PNIPAm-MWCNTs and PNIPAm-GO composites
(Wiley, 2023)
The aim of this study is to investigate drying, swelling, elastic properties, and to produce optical band gap energies on the performance of Poly (N-Isopropyl acrylamide) - Multi walled carbon nanotubes (PNIPAm - MWCNTs) ...
New Biological and Chemical Evidences of Two Lamiaceae Species (Thymbra capitata and Thymus sipyleus subsp. rosulans): In Vitro, In Silico and Ex Vivo Approaches
(Mdpi, 2022)
In this study, the methanolic and infusion extracts of two species, Thymbra capitata and Thymus sipyleus subsp. rosulans, were tested for their chemical composition and biological abilities (antioxidant, enzyme inhibitory ...
The political consequences of dependent financialization: Capital flows, crisis and the authoritarian turn in Turkey
(Routledge Journals, Taylor & Francis Ltd, 2023)
Recent debates on financialization in emerging market economies highlight the terms of unequal exchange that they are embedded in, where international capital flows steered by powerful financial actors and transnationalized ...