Intensified Role of Artificial Intelligence Techniques in Predicting Quality of Water

2019 ◽  
Author(s):  
Sumita Bansal ◽  
Ashok Pal ◽  
Mini Arora
Keyword(s):  
Artificial Intelligence ◽  
Artificial Intelligence Techniques ◽  
Quality Of Water

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

scholarly journals Application of artificial intelligence in pancreaticobiliary diseases

2021 ◽  
Vol 14 ◽  
pp. 263177452199305
Author(s):  
Hemant Goyal ◽  
Rupinder Mann ◽  
Zainab Gandhi ◽  
Abhilash Perisetti ◽  
Zhongheng Zhang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Response To Treatment ◽  
Endoscopic Retrograde ◽  
Artificial Intelligence Techniques ◽  
Computer Aided ◽  
Rapid Pace ◽  
Cystic Pancreatic Lesions ◽  
Aided Diagnosis

The role of artificial intelligence and its applications has been increasing at a rapid pace in the field of gastroenterology. The application of artificial intelligence in gastroenterology ranges from colon cancer screening and characterization of dysplastic and neoplastic polyps to the endoscopic ultrasonographic evaluation of pancreatic diseases. Artificial intelligence has been found to be useful in the evaluation and enhancement of the quality measure for endoscopic retrograde cholangiopancreatography. Similarly, artificial intelligence techniques like artificial neural networks and faster region-based convolution network are showing promising results in early and accurate diagnosis of pancreatic cancer and its differentiation from chronic pancreatitis. Other artificial intelligence techniques like radiomics-based computer-aided diagnosis systems could help to differentiate between various types of cystic pancreatic lesions. Artificial intelligence and computer-aided systems also showing promising results in the diagnosis of cholangiocarcinoma and the prediction of choledocholithiasis. In this review, we discuss the role of artificial intelligence in establishing diagnosis, prognosis, predicting response to treatment, and guiding therapeutics in the pancreaticobiliary system.

scholarly journals Visual control system for grip of glasses oriented to assistance robotics

2020 ◽  
Vol 10 (6) ◽  
pp. 6330
Author(s):  
Robinson Jimenez-Moreno ◽  
Astrid Rubiano ◽  
Jose L. Ramirez
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Control System ◽  
Fuzzy System ◽  
People With Disabilities ◽  
Visual Control ◽  
Liquid Level ◽  
Robotic Arm ◽  
Artificial Intelligence Techniques

Assistance robotics is presented as a means of improving the quality of life of people with disabilities, an application case is presented in assisted feeding. This paper presents the development of a system based on artificial intelligence techniques, for the grip of a glass, so that it does not slip during its manipulation by means of a robotic arm, as the liquid level varies. A faster R-CNN is used for the detection of the glass and the arm's gripper, and from the data obtained by the network, the mass of the beverage is estimated, and a delta of distance between the gripper and the liquid. These estimated values are used as inputs for a fuzzy system which has as output the torque that the motor that drives the gripper must exert. It was possible to obtain a 97.3% accuracy in the detection of the elements of interest in the environment with the faster R-CNN, and a 76% performance in the grips of the glass through the fuzzy algorithm.

scholarly journals The role of artificial intelligence techniques in scheduling systems

1990 ◽  
Vol 7 (3-4) ◽  
pp. 231-242 ◽  
Author(s):  
Amy L. Geoffroy ◽  
Daniel L. Britt ◽  
John R. Gohring
Keyword(s):  
Artificial Intelligence ◽  
Artificial Intelligence Techniques

scholarly journals The role of the mahogany tree (Swietenia macrophylla King) on quantity and quality of water that fall below the canopy

2021 ◽  
Vol 918 (1) ◽  
pp. 012036
Author(s):  
M F Fadhilah ◽  
Y Hidayat ◽  
A Hadiyane
Keyword(s):  
Water Quality ◽  
Quality Measurement ◽  
Hardness Measurement ◽  
Swietenia Macrophylla ◽  
Quality Of Water ◽  
The Impact ◽  
Water Quality Measurement ◽  
Rainwater Quality

Abstract Mahogany trees (Swietenia macrophylla) are often planted in urban forests area. This shady-crowned tree has a role in controlling the quantity and quality of rainwater that falls to the ground. Mahogany trees also affect the quality of rainwater through interception, fall, and stemflow. The purpose of this research was to determine the impact of the interception process, such as throughfall and stemflow, on changes in rainwater quality of the mahogany tree. The Data that needed to be measured were tree dimension, rainfall interception, and rainwater quality. Interception measurement was performed by calculating the number of throughfall and stemflow in one month-measurement. While the measurement of rainwater quality was measured once in the laboratory. These water quality measurements include Electrical Conductivity (EC), hardness, the content of Elements Ca, Mg, Na and K, and pH concentrations. The results based on the total area of the crown showed that mahogany had an interception value of 18.088%. In the throughfall measurement, the mahogany has a throughfall of 81.799%, while the amount of the stemflow is only 0.113%. The correlation of interception values, throughfall, and stemflow with rainfall are in general positively correlated. That means the higher rainfall water will increase the number of interception, throughfall, and stemflow. The results on water quality measurement explain that Ec value in rainwater interception was increased compared to water produced from rainfall in mahogany trees. It also has the same condition in hardness measurement. In pH measurements, the interception of rainwater has less pH when compared to direct rainfall water. In addition, the content of Elements Ca, Mg, K, and Na in Stemflow and Throughfall water have more numbers than rainfall itself.

scholarly journals Implementation and Application of Artificial Intelligence in Selected Public Services

2021 ◽  
Vol 21 (4) ◽  
pp. 601-622
Author(s):  
Nikola Štefanišinová ◽  
Nikoleta Jakuš Muthová ◽  
Jana Štrangfeldová ◽  
Katarína Šulajová
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Social Services ◽  
Public Services ◽  
Delivery Of Healthcare ◽  
The Public ◽  
Artificial Intelligence Techniques ◽  
Data Intensive ◽  
Realistic Assessment

Data-intensive technologies, such as artificial intelligence, imply huge opportunities for transforming the delivery of healthcare and social services, improving people’s quality of life and working in the health and welfare system. The aim of this paper is to present examples of the implementation of artificial intelligence techniques in healthcare and social services and to sketch the trends and challenges in the adoption of artificial intelligence techniques, with an emphasis on the public sector and selected public services. Analysis is based on a realistic assessment of current artificial intelligence technologies and their anticipated development. Besides the benefits and potential opportunities for healthcare and social services, there are also challenges for governments. Understanding the huge potential of artificial intelligence as well as its limitations will be a key step forward, but it is essential to avoid the trap of an overestimation of artificial intelligence potential.

The Role of Artificial Intelligence Within the Scope of Digital Transformation in Enterprises

2020 ◽  
pp. 122-146 ◽  
Author(s):  
M. Hanefi Calp
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Digital Transformation ◽  
New Era ◽  
Artificial Intelligence Techniques ◽  
Reasoning Problem ◽  
Analytical Thinking ◽  
Effective Service

Digital transformation, which is the beginning of a new era, and performed in order to provide a more effective service, has become a compulsory situation for the enterprises that take into account the increasing corporate volumes. However, the processes and technologies used in this transformation may change according to the enterprise volume and needs. At this point, activities that implement artificial intelligence technologies will make significant contributions to digital transformation. Artificial intelligence technologies serve many purposes such as search, reasoning, problem-solving, perception, learning, estimating, analytical thinking, optimization, and planning. The purpose of this chapter is to demonstrate the effects of artificial intelligence techniques on the processes of digital transformation utilized in enterprises by considering the difficulties experienced in the realization of digital transformation. It is expected that the study will provide a perspective for other studies on digital transformation and thus create an awareness.

Conceptualizing the Use of Artificial Intelligence in Customer Relationship Management and Quality of Services

2022 ◽  
pp. 177-201
Author(s):  
Parag Shukla ◽  
Sofia Devi Shamurailatpam
Keyword(s):  
Artificial Intelligence ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Operational Efficiency ◽  
Customer Relationship ◽  
Quality Of Services ◽  
Comprehensive Model ◽  
Indian Banks

In this chapter, the authors have conceptualized a hypothetical comprehensive model of AI, CRM, and quality of services by banks given the underlying pull and push factors that determine the extent of AI adoption by the banks. This chapter shall also serve as a primer to demonstrate the effects of use of artificial intelligence in the Indian banks and is also aimed to encapsulate the restraining and facilitating forces that drive adoption of AI. This chapter examines the blooming development of artificial intelligence and its significance in the operational efficiency in terms of management of issues related to customers while accessing different products and services offered by banks. In other words, the use of artificial intelligence technologies can dramatically improve banks' ability to achieve four key outcomes: higher profits, at-scale personalization, rapid innovation cycles, strategic customer relationship management (CRM), and distinctive omni-channel experiences. The role of artificial intelligence (AI) is significant in the banking industry for operational efficiency.

Monitoring the quality of water and the role of measurement

1992 ◽  
Vol 35 (3) ◽  
pp. 371-373
Author(s):  
V. A. Kimstach
Keyword(s):  
Quality Of Water

scholarly journals Recent Developments in Chitosan-Based Adsorbents for the Removal of Pollutants from Aqueous Environments

Molecules ◽  
2021 ◽  
Vol 26 (3) ◽  
pp. 594
Author(s):  
Daniele C. da Silva Alves ◽  
Bronach Healy ◽  
Luiz A. de Almeida Pinto ◽  
Tito R. Sant’Anna Cadaval ◽  
Carmel B. Breslin
Keyword(s):  
Heavy Metal Ions ◽  
Organic Molecules ◽  
Anionic Dyes ◽  
Short Introduction ◽  
Silica Supports ◽  
Quality Of Water ◽  
Aqueous Environments ◽  
Recent Developments

The quality of water is continuously under threat as increasing concentrations of pollutants escape into the aquatic environment. However, these issues can be alleviated by adsorbing pollutants onto adsorbents. Chitosan and its composites are attracting considerable interest as environmentally acceptable adsorbents and have the potential to remove many of these contaminants. In this review the development of chitosan-based adsorbents is described and discussed. Following a short introduction to the extraction of chitin from seafood wastes, followed by its conversion to chitosan, the properties of chitosan are described. Then, the emerging chitosan/carbon-based materials, including magnetic chitosan and chitosan combined with graphene oxide, carbon nanotubes, biochar, and activated carbon and also chitosan-silica composites are introduced. The applications of these materials in the removal of various heavy metal ions, including Cr(VI), Pb(II), Cd(II), Cu(II), and different cationic and anionic dyes, phenol and other organic molecules, such as antibiotics, are reviewed, compared and discussed. Adsorption isotherms and adsorption kinetics are then highlighted and followed by details on the mechanisms of adsorption and the role of the chitosan and the carbon or silica supports. Based on the reviewed papers, it is clear, that while some challenges remain, chitosan-based materials are emerging as promising adsorbents.

Sign in / Sign up

Export Citation Format

Share Document