scholarly journals Image Search System Based on Machine Learning

2022 ◽  
Vol 2146 (1) ◽  
pp. 012026
Author(s):  
HongLin Wang
Keyword(s):  
Artificial Intelligence ◽  
Network Communication ◽  
Test Results ◽  
Search System ◽  
Communication Platform ◽  
Face To Face ◽  
Teacher Student ◽  
Artificial Intelligence Technology ◽  
And Performance

Abstract Since the 21st century, with the continuous maturity of network technology and its integration with the education field, traditional face-to-face communication has gradually expanded to the virtual network environment. In the online learning environment, students can use the online platform to communicate directly with teachers, no longer limited by time and region. The time and space breakthrough of teacher-student interaction has brought development opportunities for teachers to constantly contact students with a long-term management mechanism. Based on this situation, this article uses artificial intelligence technology to build a network communication platform. This article first analyzes the application status of artificial intelligence technology in the network communication platform, and then introduces the artificial intelligence technology applied in this article. Then, this article uses artificial intelligence technology to design a network communication platform, and test the function and performance of the platform. The test results show that the function of the system is very accurate and reliable, and the performance of the system is sufficient to support nearly 10,000 users at the same time.

scholarly journals Application and Performance of Artificial Intelligence Technology in Oral Cancer Diagnosis and Prediction of Prognosis: A Systematic Review

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1004
Author(s):  
Sanjeev B. Khanagar ◽  
Sachin Naik ◽  
Abdulaziz Abdullah Al Kheraif ◽  
Satish Vishwanathaiah ◽  
Prabhadevi C. Maganur ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Oral Cancer ◽  
Cox Regression ◽  
Eligibility Criteria ◽  
Cox Regression Analysis ◽  
Electronic Search ◽  
Clinical Strategies ◽  
Artificial Intelligence Technology ◽  
And Performance ◽  
Prediction Of Prognosis

Oral cancer (OC) is a deadly disease with a high mortality and complex etiology. Artificial intelligence (AI) is one of the outstanding innovations in technology used in dental science. This paper intends to report on the application and performance of AI in diagnosis and predicting the occurrence of OC. In this study, we carried out data search through an electronic search in several renowned databases, which mainly included PubMed, Google Scholar, Scopus, Embase, Cochrane, Web of Science, and the Saudi Digital Library for articles that were published between January 2000 to March 2021. We included 16 articles that met the eligibility criteria and were critically analyzed using QUADAS-2. AI can precisely analyze an enormous dataset of images (fluorescent, hyperspectral, cytology, CT images, etc.) to diagnose OC. AI can accurately predict the occurrence of OC, as compared to conventional methods, by analyzing predisposing factors like age, gender, tobacco habits, and bio-markers. The precision and accuracy of AI in diagnosis as well as predicting the occurrence are higher than the current, existing clinical strategies, as well as conventional statistics like cox regression analysis and logistic regression.

scholarly journals Research on the Development of CPA Audit from the Perspective of Artificial Intelligence

2021 ◽  
Vol 251 ◽  
pp. 01056
Author(s):  
Guangxiu Zhou
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
New Technologies ◽  
General Trend ◽  
Emerging Technology ◽  
Internet Technology ◽  
Audit Efficiency ◽  
Artificial Intelligence Technology ◽  
The Times

In the context of the continuous development of Internet technology, big data, Internet of things, cloud computing and other technologies have developed rapidly, and artificial intelligence technology has emerged as the times require. The development of new technologies has promoted social change. As soon as artificial intelligence technology is put forward, it has been widely concerned by the society. Artificial intelligence is like a double-edged sword. As an emerging technology, it is constantly influencing all walks of life, and its application in the field of audit has become the general trend. Under the Background of the rise of artificial intelligence, this paper puts forward the advantages of the combination of artificial intelligence and audit, and analyzes the challenges faced by the development of CPA audit industry, seize the opportunity of the times, actively apply artificial intelligence technology, give practical suggestions for the long-term development of the audit industry, in order to improve the audit efficiency and ensure the audit effect.

scholarly journals Design of Double-effect Propulsion System for News Broadcast Based on Artificial Intelligence and Virtual Host Technology

2021 ◽  
Vol 2074 (1) ◽  
pp. 012096
Author(s):  
Yuanyuan You
Keyword(s):  
Artificial Intelligence ◽  
Sign Language ◽  
Double Effect ◽  
Propulsion System ◽  
Switching Function ◽  
Test Results ◽  
Channel Switching ◽  
Intelligent Algorithm ◽  
Artificial Intelligence Technology ◽  
Live Broadcast

Abstract A virtual host refers to a host who uses an avatar to submit contributions on a video website. The virtual host is a powerful combination of artificial intelligence technology and live broadcast. In recent years, virtual video hosts have sprung up on major video websites, and their popularity is growing rapidly. Virtual host technology has been applied to many areas of society. Based on this background, this article designs a news broadcast double-effect propulsion system based on artificial intelligence and virtual host technology. This article applies the virtual host technology to the field of news broadcasting, and realizes the double-effect advancement of virtual host technology and news broadcasting. The virtual host designed in this article mainly uses sign language to broadcast news, so this article first conducts a quick and brief knowledge of sign language, and then conducts a detailed analysis of the current research status of virtual host technology and artificial intelligence technology, and uses artificial intelligence. The technology realizes the motion control of the virtual host; then the intelligent algorithm is used to realize the superimposition and synthesis of videos, and a news broadcast double-effect propulsion system of artificial intelligence and virtual host technology is designed. Finally, this article carried out an experimental test on the system’s simultaneous broadcast function and channel switching function. The test results surface excluded subjective human factors. After the improvement, the system can achieve simultaneous broadcast and successful channel switching.

Simple Mind Machines

Mirror Worlds ◽  
1991 ◽  
Author(s):  
David Gelernter
Keyword(s):  
Artificial Intelligence ◽  
Coral Reef ◽  
Fundamental Question ◽  
Face To Face ◽  
Concrete Problem ◽  
The Subject ◽  
Thinking Process ◽  
The Brain

we plunge now into the deepest, trickiest, most treacherous and remarkable undersea cavern in the whole coral reef, the question of simulated experience. when we get to the bottom we will be face to face with the fundamental question of artificial intelligence (henceforth AI). we won’t know how to solve it, but we will be shining a flashlight in its face. what does it mean to think? How does thinking work? Not “how does the brain work,” but what does the thinking process consist of, in logical terms? we don’t need to understand lungs to realize that respiration has something to do with grabbing air, letting it soak in somehow and then pushing it out. Thinking is (one suspects) just as basic a physiological process as breathing; how does it work? Presumably it’s not mere random helter skelter scurrying about. There is some system at work, some process, presumably. Even when you are not hard at work solving a math problem, planning a strategy or wracking your brain for the name of someone’s daughter, there is something ticking over in there, as steadily (maybe even as rhythmically) as breathing. what is this process? As usual, we have a particular, concrete problem and a software solution in mind. The problem is crucial to Mirror worlds: How do we make the experience key work? In answering we will (again) be addressing a major problem in the non-Mirror world as well. In the last chapter, I discussed the extraction of information from fastflowing data streams at the source. we turn now to oceans of data that have accumulated in databases. what can we do with this stuff? All those multi-billions of records on file? Here, the focus is different. You don’t worry so much about extracting information fast, as the data values fly by. You focus instead on the problem of comparing many stored incidents or situations. In pursuing this concrete problem, I’ll keep the deep questions and long-term implications at bay, for the most part—but they do have a tendency to wind their tendrils around the subject matter in this chapter. I will be describing a “simulated mind” designed for a well-defined, utilitarian purpose.

scholarly journals Immediate and Long-Term Effects of “Learning By Teaching” on Knowledge of Cognition

2017 ◽  
Vol 6 (4) ◽  
pp. 1 ◽  
Author(s):  
Mary Gutman
Keyword(s):  
Procedural Knowledge ◽  
Test Results ◽  
Long Term Effects ◽  
Face To Face ◽  
Learning By Teaching ◽  
Dependent Variables ◽  
Post Test ◽  
Dual Perspective ◽  
Practical Implications

Learning By Teaching (LBT) programs for pre-service teachers in two different environments (technological and face-to-face) were compared using 100 pre-service teachers as subjects. Both programs were based on the IMPROVE instructional method which provides explicit metacognitive steps for LBT with a dual perspective (2P): that of the teacher and that of the learner. The dependent variables Knowledge of Cognition (KC) in learning and in teaching were tested for their immediate and long-term effects in a Technology-Based System group (TBS+2P), and in a Face-to-Face group (F2F+2P). Post-test results of KC have indicated that the TBS+2P group had shown a higher level of conditional and procedural knowledge of teaching. The TBS+2P group has also performed better in measures of long-term effects of declarative knowledge in teaching. Both theoretical and practical implications of this study are discussed.

Application and performance of artificial intelligence technology in forensic odontology – A systematic review

2021 ◽  
Vol 48 ◽  
pp. 101826
Author(s):  
Sanjeev B. Khanagar ◽  
Satish Vishwanathaiah ◽  
Sachin Naik ◽  
Abdulaziz A. Al-Kheraif ◽  
Darshan Devang Divakar ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Forensic Odontology ◽  
Artificial Intelligence Technology ◽  
And Performance

scholarly journals Gamification during Covid-19: Promoting active learning and motivation in higher education

2021 ◽  
Vol 37 (5) ◽  
pp. 43-60
Author(s):  
Elvira G. Rincon-Flores ◽  
Brenda N. Santos-Guevara
Keyword(s):  
Higher Education ◽  
Student Performance ◽  
Emotional States ◽  
Student Interactions ◽  
Face To Face ◽  
Teacher Student ◽  
Virtual Instruction ◽  
Global Pandemic ◽  
Mode Of Instruction ◽  
And Performance

Virtual teaching modalities urgently implemented during the Covid-19 pandemic require strategies to motivate students to participate actively in higher education. Our study found that gamification using a reward-based system is a strategy that can improve the educational experience under exceptional circumstances. This article reports the results of two gamified undergraduate courses (Calculus and Development of Transversal Competencies) designed with a reward system. The results derived from analyses of online surveys, the final grades, and their correlations revealed that gamification helped motivate students to participate actively and improved their academic performance, in a setting where the mode of instruction was remote, synchronous, and online. From the results we conclude that gamification favours the relationship between attention, participation, and performance, while promoting the humanisation of virtual environments created during academic confinement. Implications for practice or policy: Gamification using a reward-based system promoted active class participation and improved student performance after the transition from face-to-face to virtual instruction required as a result of the global pandemic. Systemic recognition in a reward-based system improved the participants' emotional states, reducing their anxiety and the feeling of isolation caused by the pandemic, and leading to student engagement with . Gamification works as an accompaniment for students to help the increasement of teacher-student and student-student interactions.

scholarly journals The Future of Online Learning using Artificial Intelligence

2021 ◽  
Author(s):  
Yew Kee Wong
Keyword(s):  
Artificial Intelligence ◽  
Online Learning ◽  
Virtual Learning ◽  
Learning System ◽  
Advanced Technology ◽  
Traditional Learning ◽  
Electronic Medium ◽  
Face To Face ◽  
New Models ◽  
And Performance

Online learning is the emerging technique in education and learning during the COVID-19 pandemic period. Traditional learning is a complex process as learning patterns, approach, skills and performance varies from person to person. Adaptive online learning focuses on understanding the learner’s performance, skills and adapts to it. The use of advanced technology also provides a means to analyse the behavioural learning pattern. As it provides the detailed skill mapping and performance which enables the learner to understand the areas needs to be improved. The information can also be used by assessors to improve the teaching approach. Advanced online learning system using artificial intelligence is an emerging concept in the coming years. In this new concept, the classes are not taken face-to-face in a classroom but through an electronic medium as a substitute. These virtual learning approach are gaining importance every day and very soon they are going to be an integral part of our world. Taking up these virtual learning through an electronic medium is termed as online learning. We proposed two new models which are powered by artificial intelligence (AI) tools. A number of examples of using these new models are presented.

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