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Web-Based Smart Agriculture System
Published in Gautam Kumar, Dinesh Kumar Saini, Nguyen Ha Huy Cuong, Cyber Defense Mechanisms, 2020
Rachna Jain, Meenu Gupta, Shivam Singh
Agriculture cloud and IT benefits give ranchers an exceptional administrative ability with respect to the development of yields, estimation, composts, maladies, and techniques. Scientists taking a shot at agriculture will give their disclosures and proposals with respect to cutting-edge procedures for development and utilization of manures, which also depends on type of land [33]. Cloud computing is a technology which is mainly used over the Internet for computing method based on the Internet; it enables shared software and hardware information to be delivered to computers and other equipment on demand. Cloud computing technology helps in developing agricultural sectors of country. Today, it is a commercial infrastructure that eliminates expensive computing hardware, software, information technology, infrastructure, recourses, and their maintenance, and a network-based environment that focuses on sharing computations [31]. This technology is very helpful for centralizing the data related to agriculture such as health of soil, weather, crops, farmers, agriculture marketing, proper use of fertilizers, and pesticide information in the cloud.
A Seamless Integration of Human and Automated Scoring
Published in Duanli Yan, André A. Rupp, Peter W. Foltz, Handbook of Automated Scoring, 2020
Kyle Habermehl, Aditya Nagarajan, Scott Dooley
In this section we provide a high-level overview of machine learning for AES; we note that many of these concepts also apply to short-answer item scoring. A good introduction to machine learning can be found in Murphy (2012) while a good introduction to natural language processing (NLP) can be found in Manning and Schütze (1999). Specifically, computer programming is a process of explicitly developing instructions for a computer to perform some task. However, it is extremely difficult and very expensive to develop explicit instructions for a computer to perform the task of scoring / grading essays. Machine learning is a process of providing data to a computer algorithm that can then “learn on its own” to perform a task without explicit instruction in how to do it. Machine learning is what has made it cost-effective to instruct computers in how to score essays.
Artificial intelligence support for tunnel design in urban areas
Published in Daniele Peila, Giulia Viggiani, Tarcisio Celestino, Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art, 2019
M. Hafner, D. Rajšter, M. Žibert, T. Tušar, B. Ženko, M. Žnidaršič, F. Fuart, D. Vladušič
Artificial intelligence (AI) is a science and research field investigating methods and technologies that enable machines (computers) to perform tasks that typically require human intelligence (a quite loose definition, a more detailed discussion on different definitions can be seen, e.g. in (Russell & Norvig, 2014)). Although the development of AI started already after the Second World War, within the last decade we are witnessing the appearance of many AI-based applications and services offering support, as well as previously unimaginable solutions in different areas of human endeavor, including science, engineering and everyday life. Currently, the most prominent area of AI is machine learning, which is typically used for data-driven modeling of complex systems and gave rise to notorious applications such as chess and go playing. Other AI disciplines include decision support systems and evolutionary computation. It is the technologies from these two disciplines that we use in the proposed optimization workflow:
Impact of AI and COVID-19 on manufacturing systems: An Asia Pacific Perspective on the two Competing exigencies
Published in Production & Manufacturing Research, 2023
Malini Mittal Bishnoi, Swamynathan Ramakrishnan, Swathi Suraj, Ashish Dwivedi
Artificial Intelligence (AI) refers to a field of science that focuses on creating computer hardware or software capable of exhibiting characteristics associated with human intelligence (Lucci et al., 2022). With the turbulence of COVID-19, the Asia Pacific (APAC) region has witnessed a steeper and faster intervention of AI. APAC countries are factories of the world with forty-eight countries and almost sixty percent of the world population contributing to more than fifty percent of the world’s GDP, APAC is seen as a significant provider to world economy (Leke et al., 2018). Currently, the region is gearing up for exploitation of opportunities created inadvertently by the pandemic and the increasing technological alteration to AI. With a $48.45 trillion GDP output and holding 59.76% of the world population, the Asian continent is the most vulnerable part of the world in case of any economic chaos and investment turbulences (Andersson, 2022).
Mapping the Cybersecurity Research: A Scientometric Analysis of Indian Publications
Published in Journal of Computer Information Systems, 2023
B. Elango, S. Matilda, M. Martina Jose Mary, M. Arul Pugazhendhi
The act of reducing the risk of hostile attacks on software, computers, and networks is referred to as “cybersecurity” and it includes tools to detect intrusions, prevent viruses, prevent unauthorized access, impose authentication, enabling encrypted communications, among other things.1 It is a distinct domain that relates to and is a component of emerging technologies such as artificial intelligence, the Internet of Things, big data, advanced mobile computing, cloud computing, e-commerce, and others. In the digital era, financial, government, military, and other organizations have vast amounts of data stored on computers and other devices, which is crucial.2 Cybersecurity has an impact on technology shifts, outsourcing, and economic modal shifts. According to Cybersecurity Ventures, the global cost of cybercrime will be $6 trillion per year by 2021.3 Cloud computing, big data, and the Internet of Things are developing technologies in the fourth industrial revolution that will automate and exchange data. Cyber-attacks are attracted to automation, necessitating security measures. The smart grid is a highly cyber-threatened automation system.
Exploring question generation in medical intelligent system using entailment
Published in International Journal of Computers and Applications, 2023
Aarthi Paramasivam, S. Jaya Nirmala
Artificial Intelligence(AI) is a wide-ranging branch of computer science, which refers to the computer and machine that mimic humankind's problem-solving and decision-making capabilities. By incorporating AI-driven tools into people's daily activities, AI has changed the world and their lives. The best example of communicating with AI-driven technologies is a simple Google search, or a chatbot of the website visited. AI is not something new. The first AI program was recognized as Logic Theorist, a system developed by Simon and Newell in 1956 [1]. AI faded from view due to the lack of computer storage, sparse data, and processing power constraints. However, in today's digital age, where we've progressed in both computing technology and software, as well as access to vast amounts of data, AI has resurfaced.