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28 Results Found

  • Article
  • Open Access
1 Citations
2,030 Views
15 Pages

Self-Sensing of Piezoelectric Micropumps: Gas Bubble Detection by Artificial Intelligence Methods on Limited Embedded Systems

  • Kristjan Axelsson,
  • Mohammadhossien Sheikhsarraf,
  • Christoph Kutter and
  • Martin Richter

17 June 2025

Gas bubbles are one of the main disturbances encountered when dispensing drugs of microliter volumes using portable miniaturized systems based on piezoelectric diaphragm micropumps. The presence of a gas bubble in the pump chamber leads to the inaccu...

(This article belongs to the Section Physical Sensors)
  • Article
  • Open Access
26 Citations
4,865 Views
14 Pages

A Self-Adaptive Artificial Intelligence Technique to Predict Oil Pressure Volume Temperature Properties

  • Salaheldin Elkatatny,
  • Tamer Moussa,
  • Abdulazeez Abdulraheem and
  • Mohamed Mahmoud

14 December 2018

Reservoir fluid properties such as bubble point pressure (Pb) and gas solubility (Rs) play a vital role in reservoir management and reservoir simulation. In addition, they affect the design of the production system. Pb and Rs can be obtained from lab...

(This article belongs to the Section A: Sustainable Energy)
  • Article
  • Open Access
113 Citations
15,926 Views
30 Pages

The Role of Human–Machine Interactive Devices for Post-COVID-19 Innovative Sustainable Tourism in Ho Chi Minh City, Vietnam

  • Nguyen Thi Thanh Van,
  • Vasiliki Vrana,
  • Nguyen Thien Duy,
  • Doan Xuan Huy Minh,
  • Pham Tien Dzung,
  • Subhra R. Mondal and
  • Subhankar Das

16 November 2020

In this research article, we aim to study the proposed role of human–machine interactive (HMI) technologies, including both artificial intelligence (AI) and virtual reality (VR)-enabled applications, for the post-COVID-19 revival of the already...

(This article belongs to the Special Issue Innovation Management, Strategy and Sustainability in Tourism and Hospitality)
  • Article
  • Open Access
2 Citations
3,319 Views
22 Pages

Lung surfactant is a mixture of lipids and proteins and is essential for air breathing in mammals. The hydrophobic surfactant proteins B and C (SP-B and SP-C) assist in reducing surface tension in the lung alveoli by organizing the surfactant lipids....

(This article belongs to the Section Drug Discovery, Development and Delivery)
  • Review
  • Open Access
7 Citations
7,192 Views
43 Pages

AI in Drug Discovery: Clinical Failures, Regulatory Reality, and the Validation Crisis Behind the Hype

  • Lisa Khairil,
  • Koay Hean Seng Benny,
  • Jesreena Jerry,
  • Farhat Mussa Khatib,
  • Muhammad Danial Che Ramli and
  • Suresh Kumar

The integration of artificial intelligence (AI) into the life sciences has accelerated significantly between 2022 and 2026, accompanied by global investment exceeding USD 100 billion and widespread expectations of a transformative impact in drug disc...

(This article belongs to the Special Issue Artificial Intelligence: New Molecules, Therapeutic Targets and Discovery of New Drugs)
  • Article
  • Open Access
2 Citations
1,273 Views
25 Pages

27 June 2026

Artificial intelligence (AI) serves as a vanguard technology in the modern epoch, playing an essential part in fostering ecological and sustainable progress. By utilizing longitudinal data from Chinese A-share corporations between 2014 and 2023, this...

(This article belongs to the Section Systems Practice in Social Science)
  • Article
  • Open Access
72 Citations
6,038 Views
17 Pages

Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees

  • Hai-Bang Ly,
  • Eric Monteiro,
  • Tien-Thinh Le,
  • Vuong Minh Le,
  • Morgan Dal,
  • Gilles Regnier and
  • Binh Thai Pham

10 May 2019

The presence of defects like gas bubble in fabricated parts is inherent in the selective laser sintering process and the prediction of bubble shrinkage dynamics is crucial. In this paper, two artificial intelligence (AI) models based on Decision Tree...

(This article belongs to the Special Issue Selective Laser Sintering (SLS) of Materials)
  • Review
  • Open Access
3 Citations
2,421 Views
25 Pages

16 December 2025

Two-dimensional materials and their van der Waals heterostructures have shown great potential in quantum physics, flexible electronics, and optoelectronic devices. However, interfacial bubbles originated from trapped air, solvent residues, adsorbed m...

(This article belongs to the Section Nanofabrication and Nanomanufacturing)
  • Article
  • Open Access
565 Views
17 Pages

25 August 2026

The novel risK-Yield Discriminant OptimizatioN—KYDON can optimize portfolio selection in a volatile market, eliminating the exposure to extreme events: bubbles and busts. Implementing novel methods such as: (i) chaos dynamics, (ii) behavioral w...

(This article belongs to the Topic Artificial Intelligence Applications in Financial Technology, 2nd Edition)
  • Article
  • Open Access
15 Citations
3,878 Views
12 Pages

Tire Bubble Defect Detection Using Incremental Learning

  • Chuan-Yu Chang,
  • You-Da Su and
  • Wei-Yi Li

28 November 2022

Digital shearography is a technique that has recently been applied to material inspections that cannot be performed by the naked eyes, including the detection of air bubble defects in tires. Although digital shearography detects bubbles that are not...

(This article belongs to the Special Issue Advanced Manufacturing Technologies: Development and Prospect)
  • Article
  • Open Access
20 Citations
14,535 Views
21 Pages

13 March 2024

In this study, we delve into the financial market to compare the performance of prominent AI and robotics-related stocks against traditional IT indices, such as the Nasdaq, and specialized AI and robotics ETFs. We evaluate the role of these stocks in...

  • Article
  • Open Access
9 Citations
10,472 Views
40 Pages

In a few years, most investment firms will deploy Generative AI (GenAI) and large language models (LLMs) for reduced-cost stock trading decisions. If GenAI-run investment decisions from most firms are heavily coordinated, they could all give a &ldquo...

(This article belongs to the Special Issue Investment Management in the Age of AI)
  • Article
  • Open Access
4 Citations
4,933 Views
42 Pages

The DEWI High-Level Architecture: Wireless Sensor Networks in Industrial Applications

  • Ramiro Sámano-Robles,
  • Tomas Nordström,
  • Kristina Kunert,
  • Salvador Santonja-Climent,
  • Mikko Himanka,
  • Markus Liuska,
  • Michael Karner and
  • Eduardo Tovar

This paper presents the High-Level Architecture (HLA) of the European research project DEWI (Dependable Embedded Wireless Infrastructure). The objective of this HLA is to serve as a reference framework for the development of industrial Wireless Senso...

(This article belongs to the Section Information and Communication Technologies)
  • Article
  • Open Access
46 Citations
7,182 Views
14 Pages

Virtual Reality Combined with Artificial Intelligence (VR-AI) Reduces Hot Flashes and Improves Psychological Well-Being in Women with Breast and Ovarian Cancer: A Pilot Study

  • Danny Horesh,
  • Shaked Kohavi,
  • Limor Shilony-Nalaboff,
  • Naomi Rudich,
  • Danielle Greenman,
  • Joseph S. Feuerstein and
  • Muhammad Rashid Abbasi

11 November 2022

Background and aims: Breast and ovarian cancers affect the lives of many women worldwide. Female cancer survivors often experience hot flashes, a subjective sensation of heat associated with objective signs of cutaneous vasodilatation and a subsequen...

(This article belongs to the Special Issue Artificial Intelligence Applications in Medicine)
  • Feature Paper
  • Article
  • Open Access
563 Views
48 Pages

An Intelligent Differential Capacitive Bioelectronic Sensing System for Reliable Microfluidic Reagent Delivery in Automated Pathology

  • Igor Kabashkin,
  • Aleksandrs Krainukovs,
  • Dmitrijs Pasičņiks,
  • Ivans Gercevs,
  • Viktorija Gerceva,
  • Ēriks Muhins,
  • Aleksandrs Muhins,
  • Arina Čiževska,
  • Patrick Micke and
  • Vladimirs Petrovs
  • + 4 authors

This article presents an intelligent differential capacitive bioelectronic sensing system that provides an experimental foundation for future AI-assisted reliable microfluidic reagent delivery in automated pathology. The proposed platform integrates...

(This article belongs to the Special Issue Wearable and Intelligent (Bio)Electronics for Healthcare: From Sensors to AI)
  • Article
  • Open Access
1,500 Views
18 Pages

A Dilemma-Based Learning-to-Rank Approach for Generative Design in Urban Architectural Regeneration

  • Ioannis Kavouras,
  • Ioannis Rallis,
  • Dimitra Zouli,
  • Emmanuel Sardis,
  • Eftychios Protopapadakis,
  • Anastasios Doulamis and
  • Nikolaos Doulamis

23 November 2024

Continuous urbanization and climate change degrade urban living conditions. Nature-based solutions in architectural and urban design offer promising remedies but are often hindered by time, cost, and early design phase challenges. To address this, we...

(This article belongs to the Section Algorithms for Multidisciplinary Applications)
  • Review
  • Open Access
7 Citations
4,478 Views
30 Pages

Critical Review of Advances and Numerical Modeling in Absorbers and Desorbers of Absorption Chillers: CFD Applications, Constraints, and Future Prospects

  • Suellen Cristina Sousa Alcântara,
  • José Ângelo Peixoto da Costa,
  • Alvaro Antonio Villa Ochoa,
  • Gustavo de Novaes Pires Leite,
  • Álvaro Augusto Soares Lima,
  • Héber Claudius Nunes Silva,
  • Paula Suemy Arruda Michima,
  • Igor Cavalcanti da Silveira,
  • Allysson Macário de Araújo Caldas and
  • Amín Altamirano

12 January 2025

This article critically reviews advances and numerical modeling in absorbers and desorbers used in absorption refrigeration systems, emphasizing the applications, limitations, and future perspectives of computational fluid dynamics (CFD). This study’...

(This article belongs to the Section J: Thermal Management)
  • Article
  • Open Access
2 Citations
2,413 Views
17 Pages

This study examines the psychological mechanisms underlying service stickiness during the mature phase of the AI subscription economy, with particular attention to the paradox of subscription fatigue. To enhance conceptual clarity, AI-driven stimuli&...

(This article belongs to the Special Issue AI-Based Disruption, Innovations, and New Business Models in E-Commerce: Empirical Research, Case Studies and Current Trends)
  • Review
  • Open Access
2 Citations
2,205 Views
27 Pages

14 January 2026

Protecting aquatic biodiversity while ensuring reliable hydropower production and water supply remains a core challenge for both water security and biosecurity. In this PRISMA-based systematic review, we synthesize evidence from 96 studies on fish gu...

(This article belongs to the Section Biodiversity and Functionality of Aquatic Ecosystems)
  • Article
  • Open Access
13 Citations
4,310 Views
12 Pages

Semantic Segmentation Dataset for AI-Based Quantification of Clean Mucosa in Capsule Endoscopy

  • Jeong-Woo Ju,
  • Heechul Jung,
  • Yeoun Joo Lee,
  • Sang-Wook Mun and
  • Jong-Hyuck Lee

7 March 2022

Background and Objectives: Capsule endoscopy (CE) for bowel cleanliness evaluation primarily depends on subjective methods. To objectively evaluate bowel cleanliness, we focused on artificial intelligence (AI)-based assessments. We aimed to generate...

(This article belongs to the Special Issue Artificial Intelligence in Gastrointestinal Endoscopy: Disrupting Landscape in GI Practice)
  • Feature Paper
  • Review
  • Open Access
19 Citations
10,228 Views
46 Pages

This work provides a comprehensive review of experimental methods used to measure rheological properties of interfacial layers stabilized by surfactants, asphaltenes, and proteins that are relevant to systems with large interfacial areas, such as emu...

(This article belongs to the Special Issue Rheology of Complex Fluids and Interfaces)
  • Article
  • Open Access
12 Citations
3,415 Views
19 Pages

27 June 2023

A synthetic partial discharge (PD) calibrator has been developed to qualify PD analyzers used for insulation diagnosis of HVAC and HVDC grids including cable systems, AIS, GIS, GIL, power transformers, and HVDC converters. PD analyzers that use high-...

(This article belongs to the Section Fault Diagnosis & Sensors)
  • Article
  • Open Access
25 Citations
2,349 Views
13 Pages

Multibody Analysis of Sloshing Effect in a Glass Cylinder Container for Visual Inspection Activities

  • Marco Claudio De Simone,
  • Salvio Veneziano,
  • Raffaele Pace and
  • Domenico Guida

24 May 2024

This paper addresses the phenomenon of sloshing and the issues that arise during liquid handling at visual inspection stations. The pharmaceutical industry, recently put under pressure by the pandemic, has long adopted modular solutions consisting ma...

  • Article
  • Open Access
1 Citations
1,728 Views
26 Pages

26 May 2026

Unmanned aerial vehicle (UAV) swarms generate massive multi-modal sensor data streams from onboard payloads such as RGB cameras, LiDAR, and thermal sensors. Large language models (LLMs) can interpret these data for natural language-based swarm coordi...

(This article belongs to the Special Issue Distributed Control, Optimization, and Game of UAV Swarm Systems (2nd Edition))
  • Review
  • Open Access
859 Views
35 Pages

Fused filament fabrication (FFF) is one of the most widely adopted additive manufacturing methods for thermoplastic polyurethane (TPU)-based soft pneumatic actuators, enabling low-cost fabrication, geometric customization, embedded pneumatic architec...

(This article belongs to the Special Issue New Trends in Soft Robotics and Mechatronics)
  • Review
  • Open Access
432 Views
31 Pages

3 August 2026

Solar-Driven Photothermal Membrane Distillation (SPMD) integrates solar energy using photothermal coatings on the hydrophobic membranes, such as carbon black nanoparticles coated on PVDF membranes, to achieve localized heating at the liquid–vap...

(This article belongs to the Section B: Energy and Environment)
  • Article
  • Open Access
23 Citations
8,781 Views
22 Pages

7 March 2019

Multiphase flow of oil, gas, and water occurs in a reservoir’s underground formation and also within the associated downstream pipeline and structures. Computer simulations of such phenomena are essential in order to achieve the behavior of par...

(This article belongs to the Special Issue Numerical Fluid Flow Simulation Using Artificial Intelligence and Machine Learning)
  • Review
  • Open Access
1 Citations
1,253 Views
39 Pages

Laboratory Synthesis and Characterization of Natural Gas Hydrates for Sustainable Gas Production from Hydrate-Bearing Sediments

  • Naser Golsanami,
  • Emmanuel Gyimah,
  • Guanlin Wu,
  • Shanilka G. Fernando,
  • Zhi Zhang,
  • Xinqi Wang,
  • Bin Gong,
  • Huaimin Dong,
  • Behzad Saberali and
  • Madusanka Nirosh Jayasuriya
  • + 2 authors

2 March 2026

Natural gas hydrate (NGH) deposits represent a vast and clean energy source. However, sustainable gas production from these resources remains an unsolved technical problem due to potential geohazards and climate challenges. A critical issue in this r...

(This article belongs to the Section Energy Sustainability)