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Article
Open AccessGenerative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS
Industrial Cyber-Physical Systems (ICPSs) are becoming more and more networked and essential to modern infrastructure. This has led to an increase in the complexity of their dynamics and the challenges of prot...
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Article
Open AccessDetecting the influence of the Chinese guiding cases: a text reuse approach
Socialist courts are supposed to apply the law, not make it, and socialist legality denies judicial decisions any precedential status. In 2011, the Chinese Supreme People’s Court designated selected decisions ...
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Article
Open AccessCurved surface form-finding with self-sha** perforated plates
Self-sha** systems offer a promising approach for making complex 3D geometries from the material-driven transformation of 2D sheets. However, current research development of such systems is focused on small-...
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Article
Open AccessMCHIAO: a modified coronavirus herd immunity-Aquila optimization algorithm based on chaotic behavior for solving engineering problems
This paper proposes a hybrid Modified Coronavirus Herd Immunity Aquila Optimization Algorithm (MCHIAO) that compiles the Enhanced Coronavirus Herd Immunity Optimizer (ECHIO) algorithm and Aquila Optimizer (AO)...
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Article
Open AccessHow Challenging is a Challenge? CEMS: a Challenge Evaluation Module for SLAM Visual Perception
Despite promising SLAM research in both vision and robotics communities, which fundamentally sustains the autonomy of intelligent unmanned systems, visual challenges still threaten its robust operation severel...
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Article
Open AccessNew formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition
Total dissolved gas (TDG) concentration plays an important role in the control of the aquatic life. Elevated TDG can cause gas-bubble trauma in fish (GBT). Therefore, controlling TDG fluctuation has become of ...
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Article
Open AccessAutomatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy
The application of digital technologies to facilitate farming activities has been on the rise in recent years. Among different tasks, the classification of weeds is a prerequisite for smart farming, and variou...
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Article
Open AccessContext-Driven Detection of Invertebrate Species in Deep-Sea Video
Each year, underwater remotely operated vehicles (ROVs) collect thousands of hours of video of unexplored ocean habitats revealing a plethora of information regarding biodiversity on Earth. However, fully util...
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Article
Open AccessPlain-to-clear speech video conversion for enhanced intelligibility
Clearly articulated speech, relative to plain-style speech, has been shown to improve intelligibility. We examine if visible speech cues in video only can be systematically modified to enhance clear-speech vis...
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Chapter and Conference Paper
The Death Process in Italy Before and During the Covid-19 Pandemic: A Functional Compositional Approach
In this talk, based on [1], we propose a spatio-temporal analysis of daily death counts in Italy, collected by ISTAT (Italian Statistical Institute), in Italian provinces and municipalities. While in [1] the f...
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Chapter and Conference Paper
Effect of Different Additives on the Compressive Strength of Very High-Volume Fly Ash Cement Composites
The cement industry is responsible for about 5–7% of global greenhouse gas emissions and with the rapid rise in global warming, it is imperative to produce an ecofriendly alternative to Portland cement. Fly as...
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Chapter and Conference Paper
Creep of Slag Blended Cement Concrete with and Without Activator
Partly replacing Portland cement (PC) with lower carbon footprint cementitious materials such as ground granulated blast furnace slag (slag) is considered as a practical method for reducing CO2 emissions in the c...
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Article
Open AccessNeurodynamical Computing at the Information Boundaries of Intelligent Systems
Artificial intelligence has not achieved defining features of biological intelligence despite models boasting more parameters than neurons in the human brain. In this perspective article, we synthesize histori...
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Article
Open AccessGeometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics
We introduce a novel geometry-informed irreversible perturbation that accelerates convergence of the Langevin algorithm for Bayesian computation. It is well documented that there exist perturbations to the Lan...
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Article
Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review
The influence of the ongoing COVID-19 pandemic that is being felt in all spheres of our lives and has a remarkable effect on global health care delivery occurs amongst the ongoing global health crisis of patie...
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Article
A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment
Emergencies require various emergency departments to collaborate to achieve timely and effective emergency responses. Thus, the overall performance of emergency response is influenced not only by the efficienc...
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Chapter
Introduction: Trends, Puzzles, and Hopes for the Future of Healthcare
This book is being published at a time when the collective attention of the world has been focused, for more than 2 years, on the coronavirus pandemic. The interrelatedness of various facets of biomedicine (wh...
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Chapter and Conference Paper
Correction to: FPGA Implementation of Optimized Code Converters with Reversible Logic Gates
Correction to: Chapter “FPGA Implementation of Optimized Code Converters with Reversible Logic Gates” in: D. Gupta et al. (eds.), Pattern Recognition and Data Analysis with Applications, Lecture Notes in Electri...
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Article
Open AccessRecent advances in Apertium, a free/open-source rule-based machine translation platform for low-resource languages
This paper presents an overview of Apertium, a free and open-source rule-based machine translation platform. Translation in Apertium happens through a pipeline of modular tools, and the platform continues to b...
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Article
Open AccessAn efficient optimization approach for designing machine learning models based on genetic algorithm
Machine learning (ML) methods have shown powerful performance in different application. Nonetheless, designing ML models remains a challenge and requires further research as most procedures adopt a trial and e...