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Manshahia M.S., Litvinchev I.S., Weber G.-W., Thomas J.J., Vasant P. (eds.) Human-Assisted Intelligent Computing: Modeling, simulations and applications

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Manshahia M.S., Litvinchev I.S., Weber G.-W., Thomas J.J., Vasant P. (eds.) Human-Assisted Intelligent Computing: Modeling, simulations and applications
IOP Publishing Ltd, 2023. — 727 p. — ISBN: 978-0-7503-4799-0.
During previous decades, the analytical toolbox and the methodological tools of computer science and applied mathematics, informatics and statistics, emerging analytics, and information technologies had the attention of numerous researchers and practitioners worldwide, providing a strong impact in natural sciences, engineering, economics and finance, the IT sector and, in recent years, the sector of security, e.g., in data storage, data handling, data transfer, in traffic, transportation, supply chains, etc. Here, optimization turns out to be a key technology from an integrated perspective, and it is closely connected with further.
areas of modern operational research such as development, societal complexity, and ethics, to appropriately address aspects of living conditions, safety, and freedom, in the culture and environment of that new and fast-growing industry. Big-data-based and security-oriented techniques are more and more well-known and employed in research areas of engineering, science, and technology.
Current trends on application problems in engineering, science, and technology are also expanded into the areas of the economy, finance, and, especially, hotels, tourism, travel, and urban management across the globe. This edited book delivers the best, high-quality, selected chapters on a rich variety of research topics. Well-known and new methodologies of optimization techniques are used to resolve some of the very complicated and hard problems related to our research subjects.
Machine learning algorithms to improve crop evapotranspiration prediction covering a broad range of environmental gradients in agriculture 4.0: a review.
Iris-based biometric cryptosystem.
Bio-inspired approaches for a combined economic emission dispatch problem.
Eigenvalue clustering for spectrum sensing: throughput and energy evaluation for cognitive radio – Internet of Things network.
Modeling the evolution of complex networks arising in applications.
Computing the intelligent privacy-engineered organization: a metamodel of effective information transparency enhancing tools/technologies.
A model of cells’ regeneration towards smart healthcare.
Anomaly detection in location-based services.
Optimized packing soft ellipses.
Analysis of phishing attacks.
Human-assisted intelligent computing and ecological modeling (drought early warning system).
Attention mechanisms in machine vision: a survey of the state-of-the-art.
Sparse 2D packing in thermal deburring with shock waves acting effects.
Implementation of smart manufacturing in small and medium-sized enterprises.
Performance analysis of fractal image compression methods for medical images: a review.
Mobile edge computing for efficient energy management systems.
Modeling 3D nanocomposites with multi-spherical inclusions by optimized packing.
Sentiment analysis for web series using deep learning techniques in the times of COVID-.
Generalized receiver: signal processing in DS-CDMA wireless communication systems over fading channels.
Critical success factors for successful implementation of smart manufacturing in the context of Industry 4.
An efficient heart disease diagnosis prediction model using decision tree classifiers: Streamlit.
Mathematical and informational support of decision-making in risk management of cross-border high technology projects.
Artificial intelligence (AI) in the era of precision medicine.
The optimal choice for convenience store chains in Vietnam.
Study of groundwater using hydrodynamic models.
Long-term fatigue assessment of offshore monopile structure under corrosive environmental conditions.
Estimation of crop water use in agricultural systems.
IoT-based healthcare monitoring system for smart city applications.
Smart healthcare: the new digital revolution in medical management.
Adequate implementation of simulation tools for enhancement performance on existing network infrastructure devices (OPNET).
Artificial intelligence-based garbage monitoring system (GMS) for garbage management using integrated sensors.
Use of Internet of Things technology in the medical field during the pandemic era.
Performance comparison of data security algorithms.
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