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Topic Review
Artificial Intelligence in Safe Marine Environment
This research presents a combination of remote sensing, an artificial neural network, and game theory to synthesize a system for safe ship traffic management at sea. Serial data transmission from the ARPA anti-collision radar system are used to enable computer support of the navigator’s maneuvering decisions in situations where a large number of ships must be passed.
  • 317
  • 10 Jan 2023
Topic Review
Artificial Intelligence in the Effective Battery Life Cycle
The rapid growth of battery production and usage will cause waste and disposal-related issues as these batteries reach end-of-life. Moreover, it also causes the depletion of natural mineral resources. Thus, effective battery reuse and recycling procedures are highly important because they contain metals of critical importance. The recycling of batteries causes the return of valuable materials, including lead, lithium, nickel, cadmium, and copper, back to the value chain, partially easing the need to extract new resources. Moreover, recovering metals from batteries reduces the burden on landfills, the burden on the environment, and the negative impact on human health. The critical material’s recirculation also leads to a reduction of the ecological CO2 footprint, which is connected with battery cell production and may provide CO2-neutral battery cell production. Improper battery waste disposal causes harmful effects on human and animal health, as well as the environment, as they contain a huge number of heavy metals. These waste compounds contaminate water, soil, and vegetation.
  • 1.1K
  • 25 Nov 2022
Topic Review
Artificial Intelligence in Water Treatment and Monitoring
Artificial-intelligence methods and machine-learning models have demonstrated their ability to optimize, model, and automate critical water- and wastewater-treatment applications, natural-systems monitoring and management, and water-based agriculture such as hydroponics and aquaponics. In addition to providing computer-assisted aid to complex issues surrounding water chemistry and physical/biological processes, artificial intelligence and machine-learning (AI/ML) applications are anticipated to further optimize water-based applications and decrease capital expenses. Poor data management, low explainability, poor model reproducibility and standardization, as well as a lack of academic transparency are all important hurdles to overcome in order to successfully implement these intelligent applications. Recommendations to aid explainability, data management, reproducibility, and model causality are offered in order to overcome these hurdles and continue the successful implementation of these powerful tools. 
  • 4.1K
  • 01 Jul 2022
Topic Review
Artificial Intelligence-Assisted Ultrasound Scanning
Ultrasound (US) is a flexible imaging modality used globally as a first-line medical exam procedure in many different clinical cases. It benefits from the continued evolution of ultrasonic technologies and a well-established US-based digital health system. Nevertheless, its diagnostic performance still presents challenges due to the inherent characteristics of US imaging, such as manual operation and significant operator dependence. Artificial intelligence (AI) has proven to recognize complicated scan patterns and provide quantitative assessments for imaging data. 
  • 455
  • 17 Apr 2023
Topic Review
Artificial Intelligence-Based Decision Support Systems in Project Sustainability
Decision support systems (DSS) is a computer-based aid, which is designed to assist project managers in decision making when the tasks at hand are of a complex nature. Artificial intelligence (AI) is “the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages”. The use of artificial intelligence (AI)-based decision support systems (DSS) has been gaining in popularity. AI technologies are becoming powerful tools throughout the world for improving project management; however, the advancement of construction management is still in its infancy and is adapting to the use of AI at a much slower pace than other sectors
  • 2.8K
  • 15 Aug 2022
Topic Review
Artificial Intelligence-Based Methods in Power Distribution Networks
Following to a short-circuit fault in distribution networks, the fault should be located and isolated before restoring the supply. A fast and accurate fault location method can help to improve the continuity of supply considerably. In general, the distribution-network fault location methods can be categorized into impedance-based methods, state estimation-based methods, traveling wave-based methods, and artificial intelligence-based (AI-based) methods.
  • 382
  • 26 Jun 2023
Topic Review
Artificial Intelligence-Based Regional Flood Frequency Analysis Methods
Flood is one of the most destructive natural disasters, causing significant economic damage and loss of lives. Numerous methods have been introduced to estimate design floods, which include linear and non-linear techniques. Since flood generation is a non-linear process, the use of linear techniques has inherent weaknesses. To overcome these, artificial intelligence (AI)-based non-linear regional flood frequency analysis (RFFA) techniques have been introduced. 
  • 445
  • 20 Sep 2022
Topic Review
Artificial Lightweight Aggregates Made from Pozzolanic Material
Production of artificial lightweight aggregate incorporating waste materials or pozzolanic materials is advantageous and beneficial in terms of being environmentally friendly, as well as lowering carbon dioxide emissions. Moreover, additives, such as geopolymer, have been introduced as one of the alternative construction materials that have been proven to have excellent properties.
  • 1.2K
  • 16 Jun 2022
Topic Review
Artificial Neural Networks in Water Supply Systems Development
A water supply system is considered an essential service to the population as it is about providing an essential good for life. This system typically consists of several sensors, transducers, pumps, etc., and some of these elements have high costs and/or complex installation. The indirect measurement of a quantity can be used to obtain a desired variable, dispensing with the use of a specific sensor in the plant. Among the contributions of this technique is the design of the pressure controller using the adaptive control, as well as the use of an artificial neural network for the construction of nonlinear models using inherent system parameters such as pressure, engine rotation frequency and control valve angle, with the purpose of estimating the flow. 
  • 794
  • 27 May 2022
Topic Review
Artificial Olfactory Images
The artificial olfactory image was proposed by Lundström et al. in 1991 as a new strategy for an electronic nose system which generated a two-dimensional mapping to be interpreted as a fingerprint of the detected gas species.
  • 158
  • 04 Feb 2024
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