Results 121 to 130 of about 47,568 (277)
Hybrid meta-heuristics for robust scheduling.
The production and delivery of rapidly perishable goods in distributed supply networks involves a number of tightly coupled decision and optimization problems regarding the just-in-time production scheduling and the routing of the delivery vehicles in order to satisfy strict customer specified time-windows.
Surico, M. +3 more
openaire +2 more sources
The Nexus Between Circular Economy and Sustainable Supply Chain Management: PRISMA Methodology
ABSTRACT The intersection of sustainable supply chain management (SSCM) and circular economy (CE) has attracted increasing academic and practical attention, emphasizing the need for integrated sustainability approaches. This study employs the PRISMA protocol and conceptualizes the CE–SSCM relationship as a dynamic system in which internal capabilities,
Feriel Barkaoui, Khaled Ben abdallah
wiley +1 more source
Epistemological Implications of a System—Theoretical Understanding for Sustainability Models
ABSTRACT In the sense of the Sustainable Development Goals (SDGs), global efforts to create a sustainable society will not be sufficiently successful under the current geopolitical and socio‐economic trends. For this reason, recent sustainability research has increasingly focused on systemic coherence, the subject of cognition, and psychological and ...
Stefan Stumm
wiley +1 more source
Freedom of Scientific Inquiry and Democracy. A Systems‐Theoretical Approach
ABSTRACT The article examines the relationship between democracy and one of its inherent features: freedom of scientific inquiry—a multi‐layered concept closely intertwined with the broader notion of academic freedom—both of which are increasingly under threat worldwide. The paper advocates for the use of Luhmann's theoretical framework to analyse this
Krešimir Žažar, Steffen Roth
wiley +1 more source
Lifecycle‐Based Governance to Build Reliable Ethical AI Systems
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley +1 more source
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman +2 more
wiley +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
IHML: Incremental Heuristic Meta-Learner
The landscape of machine learning constantly demands innovative approaches to enhance algorithms’ performance across diverse tasks. Meta-learning, known as “learning to learn” is a promising way to overcome these diversity challenges by blending multiple
Onur Karadeli +2 more
doaj +1 more source
Meshless Search SR-STAP for Airborne Radar Based on Meta-Heuristic Algorithms. [PDF]
Hou Y, Zhang Y, Gui W, Wang D, Dong W.
europepmc +1 more source
Sentiment analysis via multi-layer perceptron trained by meta-heuristic optimisation [PDF]
Alboaneen, Dabiah Ahmed +2 more
core +2 more sources

