A comparison of classification in artificial intelligence, induction versus a self-organising neural networks

Artificial Intelligence (AI) emerged as an intervention for data and number-related problems. This breakthrough has led to several technological advancements in virtually all fields from engineering to architecture, education, accounting, business, health, and so on. AI has come a long way in healthcare, having played significant roles in data and information storage and management – such as patient medical histories, medicine stocks, sale records, and so on; automated machines; software and computer applications like diagnostic tools such as MRI radiation technology, CT diagnosis and many more have all been created to aid and simplify healthcare measures. Inarguably, AI has revolutionized healthcare to be more effective and efficient and the pharmacy sector is not left out. During the past few years, a considerable amount of increasing interest in the uses of AI technology has been identified for analyzing as well as interpreting some important fields of pharmacy like drug discovery, dosage form designing, polypharmacology, and hospital pharmacy. Given the growing importance of AI, we wanted to create a comprehensive report which helps every practicing pharmacist understand the biggest breakthroughs which are assisted by the deployment of this field.

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“…AI can be classified in two different ways [16,17] a) according to caliber b) according to the presence (See table 1)…”

Section: Ai Classificationmentioning

confidence: 99%

Artificial Intelligence (AI) in Pharmacy: An Overview of Innovations

et al. 2022

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“…Nevertheless, the system's designers were unable to have it published [6]. [7] AI can be classified in two different ways.…”

Section: General Overview-artificial Intelligencementioning

confidence: 99%

Pharmacy and Artificial Intelligence (AI): A Review of Recent Advancements

B Shah

2022

J Arti Inte & Cloud Comp

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The field of artificial intelligence (AI) arose as a solution to issues with data and numbers. This technical breakthrough has benefited engineering, architecture, education, accountancy, business, health, and countless others. Artificial intelligence (AI) has made great strides in the healthcare industry, particularly in the following areas: automated machines; software and computer applications like diagnostic tools like MRI radiation technology and CT diagnosis; and data and information storage and management, including patient medical histories, medicine stocks, sale records, and so on. Artificial intelligence has undoubtedly improved the efficiency and effectiveness of healthcare in general and the pharmacy industry in particular. A growing body of research in recent years has focused on the potential of artificial intelligence (AI) to improve our understanding of drug development, dosage form design, polypharmacology, and hospital pharmacy, among other vital areas of pharmacy. The article intends to put together a detailed report that any working pharmacist may use to comprehend the most significant advances made possible by deploying AI because of the field’s increasing significance.

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“…From the above discussion, it is clear that output power forecasts are of paramount importance for RES generators. It is due to discrepancies in their forecasted and real values that imbalances exist in the system, which in many cases lead to revenue and opportunity losses for RES owners [18]- [20].…”

Section: Importance Of Forecasts In Electricity Balancing Marketmentioning

confidence: 99%

Applications of AI-Based Forecasts in Renewable Based Electricity Balancing Markets

Hameed

Hashemi

Traholt

2021

2021 22nd IEEE International Conference on Industrial Technology (ICIT)

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Rising environmental concerns are integrating more renewables in power systems. This increase introduces uncertainty in generation and makes it challenging to maintain a balance between demand and supply. To avoid balancing problems and consequent stability issues, better forecast models are needed as traditional techniques are not fully equipped to deal with these new challenges. Thus, artificial intelligence (AI) based forecast techniques are gaining potential recognition in the realm of electricity markets. This paper aims at investigating the state-of-art of AI applications for price forecasts in electricity balancing markets (EBMs). The focus of previous studies extended in this direction has been towards the dayahead markets, whereas studies targeting EBMs are rather scarce. This paper shows how AI-based forecasts support EBMs modeling, resulting in more secure grid integration of distributed technologies. The benefits driven from such forecasts by market participants like brokers and customers are also investigated.

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A comparison of classification in artificial intelligence, induction versus a self-organising neural networks

Cited by 26 publications

References 10 publications

Artificial Intelligence (AI) in Pharmacy: An Overview of Innovations

Artificial Intelligence (AI) in Pharmacy: An Overview of Innovations

Pharmacy and Artificial Intelligence (AI): A Review of Recent Advancements

Applications of AI-Based Forecasts in Renewable Based Electricity Balancing Markets

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