Computer Science: Artificial Intelligence

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Scope of artificial intelligence in the field of research in the department of computer science

Scope of artificial intelligence in the field of research in the department of computer science

In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is the subfield of computer science. Artificial Intelligence is becoming a popular field in computer science as it has enhanced the human life in many areas. Artificial intelligence in the last two decades has greatly improved performance of the manufacturing and service systems. Study in the area of artificial intelligence has rise to the rapidly growing technology known as expert system. Application areas of Artificial Intelligence is having a huge impact on various fields of life as expert system is widely used these days to solve the complex problems in various areas as science, engineering, business, medicine, weather forecasting. The areas employing the technology of Artificial Intelligence have seen an increase in the quality and efficiency. This paper gives an overview of this technology and the application areas of this technology. This paper will also explore the current use of Artificial Intelligence technologies in the PSS design to damp the power system oscillations caused by interruptions, in Network Intrusion for protecting computer and communication networks from truders, in the medical area-medicine, to improve hospital inpatient care, for medical image classification, in the accounting databases to mitigate the problems of it and in the computer games.

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Advanced Applications Of Neural Networks And Artificial Intelligence: A Review

Advanced Applications Of Neural Networks And Artificial Intelligence: A Review

Abstract— Artificial Neural Network is a branch of Artificial intelligence and it has been accepted as a new computing technology in computer science fields. This paper reviews the field of Artificial intelligence and focusing on recent applications which uses Artificial Neural Networks (ANNs) and Artificial Intelligence (AI). Artificial Neural Networks is considers as major soft-computing technology and have been extensively studied and applied during the last two decades. The most general applications where neural networks are most widely used for problem solving are in pattern recognition, data analysis, control and clustering. Artificial Neural Networks have abundant features including high processing speeds and the ability to learn the solution to a problem from a set of examples. The main aim of this paper is to explore the recent applications of Neural Networks and Artificial Intelligence and provides an overview of the field, where the AI & ANN‟s are used and discusses the critical role of AI & NN played in different areas.

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Abstract: Artificial Intelligence (AI) refers to “Artificial consciousness” which means, creating machines fit acting intelligent task undertakings like kinsmen. Within the future, AI sense machines can improve human talents in various zones, notably within the field of computer science and Technologies. Computer science insight has implausibly increased the execution of the aggregation and administration frameworks of human mind and machines. Concentrate within the region of computer science wit has offered ascend to the short development of the many innovations notable in term of skilled system. Application areas of computer science is immensely moving the various fields of life as a specialist skilled system ,to take care of the unpredictable problems in numerous regions of Science and technologies, field of study, finance, business enterprises, software system and diversion industries , Aero spacing, drug, climate anticipating etc. The regions utilizing the innovation of computer science have seen an enlargement within the quality and proficiency. This paper offers associate degree over read of this AI application, innovation and moreover considers the current advance of this innovation truly and examines the applications objective of man created intelligence technology known as computer science.

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IMPORTANCE OF ARTIFICIAL INTELLIGENCE TOOLS

IMPORTANCE OF ARTIFICIAL INTELLIGENCE TOOLS

This paper,” Importance of Artificial Intelligence Tools” helps us in understanding the real concept of artificial intelligence and the importance of artificial intelligence tools. It gives the awareness of how artificial intelligence (AI) plays an important role in our daily life especially in the case of medicine. This system is working throughout the world as an artificial brain. In this paper information regarding the tools of AI and it solves the current problems in the field of medicine. There seems to be many pitfalls in the field of medicine which can’t be resolved b any other means other than AI. Thus further improvement in the field of AI will be a boon for the development of scientific technology and to researchers, if done as it has to be. There seems to be many cons in the current trend which can be easily solved. Thus one of the applications of computer science being artificial intelligence solves all these problems and helps in accessing individual patient risk.

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A Review on: Artificial intelligence techniques in electrical and  computer engineering

A Review on: Artificial intelligence techniques in electrical and computer engineering

During the last decade, new findings of research in emotions from the areas of psychology and neuroscience have attracted the attention of scientists from the circles of computer science and artificial intelligence (Gadanho et al., 2001; Petta et al., 2001). Due to such an important requirement of electrical power being all the areas and requires to be enlarged, from its production part to the distribution end that it should be increased in a more executive fashion then at present by using Artificial intelligence. A lot of work has already been done in the field of generation and the distribution sector, but the transmission sector still lags behind than the later. The Figure – 1 illustrates the unusual phases necessitated for transmission system planning. This flow chart is a basic one and all the phases engage in this are uniformly appropriate in the ancient times even at this moment in time and also accomplishes the essential constraints for future transmission system planning (Rajat et al., 2005). The group supporting the belief that emotions play a key role in human cognitive processes is being extended, emphasizing its importance in problem

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Foundations of Intelligence Science

Foundations of Intelligence Science

Since 1956 artificial intelligence is formally found and very impressive progress has been made in many areas over the past years. Its achievements and techniques are in the mainstream of computer science and at the core of so many systems. For example, the computer beats the world’s chess champ, commercial systems are exploiting voice and speech capabilities, there are robots running around the surface of Mars. In well-known TV quiz show “Jeopardy” IBM super computer system Watson beats the best of the two bit of human champion Ken Jennings and Brad Rutter. But all these achievements are not in the realm of human level machine intelligence.

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Security Risk Assessment on Social Media using Artificial Intelligence Methodology

Security Risk Assessment on Social Media using Artificial Intelligence Methodology

Integrating AI techniques to solve intrusion detection system (IDS) is an aid in achieving smart environments that deliver adaptive behaviors depending on the intentions of the user. Artificial Intelligence (AI) is one of the more expected computer science areas created in recent years. AI is a scientific discipline that attempts to make human intellectual and cognitive capabilities available through information processing systems. Nowadays, due to their complexity, many security and privacy issues cannot be solved optimally. Artificial intelligence has proved extremely useful and well- equipped to solve these problems in these situations. The IDS process is automated in the system and threats are identified using AI. Advantages of Proposed System are:

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Security Risk Assessment on Social Media using Artificial Intelligence Methodology

Security Risk Assessment on Social Media using Artificial Intelligence Methodology

Integrating AI techniques to solve intrusion detection system (IDS) is an aid in achieving smart environments that deliver adaptive behaviors depending on the intentions of the user. Artificial Intelligence (AI) is one of the more expected computer science areas created in recent years. AI is a scientific discipline that attempts to make human intellectual and cognitive capabilities available through information processing systems. Nowadays, due to their complexity, many security and privacy issues cannot be solved optimally. Artificial intelligence has proved extremely useful and well- equipped to solve these problems in these situations. The IDS process is automated in the system and threats are identified using AI. Advantages of Proposed System are:

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Artificial Intelligence in Various Sectors

Artificial Intelligence in Various Sectors

Abstract: In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is the subfield of computer science. Artificial Intelligence is becoming a popular field in computer science as it has enhanced the human life in many areas. Artificial intelligence in the last two decades has greatly improved performance of the manufacturing and service systems. Study in the area of artificial intelligence has given rise to the rapidly growing technology known as expert system. Application areas of Artificial Intelligence is having a huge impact on various fields of life as expert system is widely used these days to solve the complex problems in various areas as science, engineering, business, medicine, weather forecasting. The areas employing the technology of Artificial Intelligence have seen an increase in the quality and efficiency. This paper gives an overview of this technology and the application areas of this technology. This paper will also explore the current use of Artificial Intelligence technologies in the PSS design to damp the power system oscillations caused by interruptions, in Network Intrusion for protecting computer and communication networks from intruders, in the medical area- medicine, to improve hospital inpatient care, for medical image classification, in the accounting databases to mitigate the problems of it and in the computer games.

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Human-level artificial intelligence must be a science

Human-level artificial intelligence must be a science

The dream of successfully (re-)creating intelligence has fascinated men for cen- turies. For instance legendary creatures from the Middle Ages like the golem or the homunculus, van Kempelen’s 18th century Mechanical Turk, or the robots described in science fiction stories from the early 20th century to different degrees bear witness of the never-ceasing attraction of this idea. In the second half of the 20th century, arguably starting out with Turing’s well-known paper “Computing Machinery and Intelligence” [1], this dream also was given its proper manifestation in science: Research in what today has become an established field of scientific enquiry known as Artificial Intel- ligence (AI) started. Still, from a certain perspective AI seems to stand out between the modern sciences for more than one reason: Neither is there agreement upon what shall be AI’s overall objective (i.e., whether the purpose of AI is the implementation of technical systems supporting humans in their everyday tasks and facilitating human in- tellectual activity, or if the purpose of AI is the creation of a computer system exhibiting general intelligence — in doing so possibly outperforming humans in tasks requiring reasoning and thought —, or something in between these two extremes), nor is there a commonly accepted methodology for conducting research in AI, nor is there consensus concerning the valuation of previous developments and the actual status quo in AI as a story of success or perpetual failure.

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Artificial Intelligence in Various Sectors

Artificial Intelligence in Various Sectors

Abstract: In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is the subfield of computer science. Artificial Intelligence is becoming a popular field in computer science as it has enhanced the human life in many areas. Artificial intelligence in the last two decades has greatly improved performance of the manufacturing and service systems. Study in the area of artificial intelligence has given rise to the rapidly growing technology known as expert system. Application areas of Artificial Intelligence is having a huge impact on various fields of life as expert system is widely used these days to solve the complex problems in various areas as science, engineering, business, medicine, weather forecasting. The areas employing the technology of Artificial Intelligence have seen an increase in the quality and efficiency. This paper gives an overview of this technology and the application areas of this technology. This paper will also explore the current use of Artificial Intelligence technologies in the PSS design to damp the power system oscillations caused by interruptions, in Network Intrusion for protecting computer and communication networks from intruders, in the medical area- medicine, to improve hospital inpatient care, for medical image classification, in the accounting databases to mitigate the problems of it and in the computer games.

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Our Future: Artificial Intelligence, Expert Systems & Robots

Our Future: Artificial Intelligence, Expert Systems & Robots

Abstract-- Artificial Intelligence is the concept of computer science which deals with building computers that exhibits the intelligent behaviour like us. In other words it concern with making intelligent machines which having ability of learning something, problem solving and understanding of language. These machines are called intelligent agent. This all can be done with the help of expert system. The paper briefs about what AI exactly means, why we need it, its application, future phases, advantages and some of disadvantages. This technology is user-friendly, smarter, and sensitive. Also makes our work easier. We use it in making of robots and robots are used in various fields for various purposes. This technology is answerable of some critical questions about human existence by understanding the nature of intelligence, but this all happen scientifically and technically by affecting many aspects of society and culture.

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Envisioning AI for K-12: What Should Every Child Know about AI?

Envisioning AI for K-12: What Should Every Child Know about AI?

The ubiquity of AI in society means the time is ripe to consider what educated 21st century digital citizens should know about this subject. In May 2018, the Association for the Advancement of Artificial Intelligence (AAAI) and the Computer Science Teachers Association (CSTA) formed a joint working group to develop national guidelines for teaching AI to K-12 students. Inspired by CSTA's national standards for K-12 computing education, the AI for K-12 guidelines will define what students in each grade band should know about artificial intelligence, machine learning, and robotics. The AI for K-12 working group is also creating an online resource directory where teachers can find AI- related videos, demos, software, and activity descriptions they can incorporate into their lesson plans. This blue sky talk invites the AI research community to reflect on the big ideas in AI that every K-12 student should know, and how we should communicate with the public about advances in AI and their future impact on society. It is a call to action for more AI researchers to become AI educators, creating resources that help teachers and students understand our work.

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Artificial Intelligence & its Applications in various fields

Artificial Intelligence & its Applications in various fields

Abstract: Artificial intelligence is the science of automating intelligent behaviour presently which is achievable by human beings. In future, intelligent machines will replace or enhance the human capabilities in many areas. It is the intelligence exhibited by machines or software. Artificial Intelligence has been becoming a popular topic in the field of computer science as it has changed/ enhanced the human life in many areas. Artificial intelligence in the last two decades has greatly improved performance of the manufacturing and service sectors. Research in the area of artificial intelligence has given rise to the rapidly growing technology known as expert system. Artificial Intelligence is having a huge impact on various fields of life as expert system is widely used these days to solve the complex problems in various areas as science, engineering, business, medicine, education, traffic system, weather forecasting, etc. The areas employing the technology of Artificial Intelligence have seen an increase in the quality and efficiency. Artificial Intelligence areas are Expert Systems, Speech recognition, Robotics and Sensory Systems, Computer Vision and Scene Recognition, Intelligent Computer Aided Instruction, Neural Computing, Natural Language Processing. This paper gives an overview of the technology and its application areas like: PSS design to damp the power system oscillations caused by interruptions, Network Intrusion for protecting computer and communication networks from intruders, medical area, to improve hospital inpatient care, for medical image classification, accounting databases to mitigate the problems of it and in the computer games.

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A Historical View of Fuzzy Mathematics and Its Applications

A Historical View of Fuzzy Mathematics and Its Applications

Many Problems have solution with the help of fuzzy theory which could not be obtained by Traditional method. With the help of fuzzy mathematics ,researchers solve many problems in many fields like artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition, and robotic etc. Theoretical advances have been made in many directions like Fuzzy linear programming is a generalization of LPP , Fuzzy algebra is a generalization of algebra, Fuzzy clustering theory is a generalization of clustering theory etc. In addition, the transition from fuzzy set theory to fuzzy technology has been achieved by providing numerous software and hardware tools that considerably improve the design of fuzzy systems and make them more applicable in practice. In 1965, Zadeh gave the concept of Fuzzy relations which are fuzzy subsets of X x Y, that is, mappings from X to Y.

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COMPUTER-BASED ARTIFICIAL INTELLIGENCE SYSTEMS

COMPUTER-BASED ARTIFICIAL INTELLIGENCE SYSTEMS

There are a huge number of areas where machine learning can be used. The process of informatization leads to a rapid increase in the volume of data in science, business, transport, and health care. The problems that arise in this process are often reduced to learning from prec- edents. A finite set of precedents (objects, situ- ations) is given, for each of which some data is collected (measured). Precedent data is also described as its description. The totality of all available descriptions of precedents is called a training set. It is required for these private data to reveal general dependencies, patterns, inter- relationships inherent not only in this particular sample, but in general all precedents, including those that have not yet been observed [6].

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Performance Analysis of WebRTC and SIP for Video Conferencing

Performance Analysis of WebRTC and SIP for Video Conferencing

Navrattan Pamar is currently pursuing M.Tech, Computer Engineering from National Institute of Technology, Kurukshetra, Haryana, India. He has graduated from Guru Nanak Dev University, Amritsar in 2017. He has been published one book chapter in Springer Lecture Notes in Networks and Systems, (Scopus Indexed). He is currently looking forward in research in protocols and currently working as an Intern in a software company in Bangalore.

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The Impacts of Artificial Intelligence and Nanotechnology on Human Computer Interaction

The Impacts of Artificial Intelligence and Nanotechnology on Human Computer Interaction

Right from the time of punch cards till now, the human- computer interaction (HCI) background has gone through a lot of advancements. Researchers in this field continue to demand for new ways of bridging the gap that exists between man and computers [1]. This determination motivates the researchers to develop keyboards, mouse and touch screens, which made computational power more accessible. There is now practically a computer in everything, from coffee makers to vehicles, airplane engines and the human body. One of the major aims of HCI both scientific and practical section is to improve the quality of user interfaces, which is important part of quality software product [2].

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Fast DCT-I, DCT-III, and DCT-IV via Moments

Fast DCT-I, DCT-III, and DCT-IV via Moments

versity of Pennsylvania, from December 1998 to July 2004. He is currently a Professor and Deputy Director of the Key Laboratory of State Education Ministry for Image Processing and Intelligent Control, Huazhong University of Science and Technology, China. His interests include signal processing, image processing, parallel algorithm and structure, and pattern recognition.

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AI WITH CYBORG INTELLIGENCE ? FUTURE OF INTELLIGENT MACHINES

AI WITH CYBORG INTELLIGENCE ? FUTURE OF INTELLIGENT MACHINES

Available Online at www.ijpret.com 1145 5. Computational neuroscience, including models from robotics, artificial intelligence, spatial- temporal computing etc, which provides the theoretical framework within which experimental questions are asked, highlights the mechanical, geometric and control issues that the brain must come to grips with, and generates models which help test the adequacy of scientific explanations and engineering applications.

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