Titlebook: Artificial Intelligence for Environmental Sustainability and Green Initiatives; Aboul Ella Hassanien,Ashraf Darwish,Sally M. Elgha Book 20

不適

Clarisse Brígido,Jin Duan,Bernard R. Glick creating healthier communities and society. The integration of the Internet of Things (IoT) and widespread smartphones is crucial for achieving a major advancement in different areas of smart cities, such as healthcare, fitness, skill evaluation, and personal assistants, to facilitate independent l

歌唱隊(duì)

Clarisse Brígido,Jin Duan,Bernard R. Glick Data Analytics. AI has significantly impacted the financial industry by enhancing risk assessment, management, and decision-making. It can efficiently process vast amounts of data and identify patterns quickly. This paper presents an AI model in finance sector for risk management, especially loan d

游行

Book 2024and waste management. Discusses applications and innovations in Green Initiatives such as energy, finance, and drug discovery.?Highlights the ethical challenges and benefits of integrating AI into sustainability initiatives.

在駕駛

環(huán)形

abstemious

Measuring Global Warming Effect by the Prediction of Climate Change on the Different Countries Usingimate change, providing a new perspective on this controversial issue. The proposed methodology achieved the highest accuracy. Another contribution in this paper is its novelty predicting the relation between climate change and global warming. Step wise linear regression was used which gave R square

prick-test

Mendacious

障礙物

Fish Recognition Using MobileNet-V2 and MAR-Based Metaverse for an Educative Marine Life Systemations, entertainment, medical care, travel, transportation, etc. are all getting smarter MAR apps thanks to the widespread adoption of machine learning technologies for mobile devices. The suggested work illustrates a scenario wherein participants in a marine educational system are afforded the opp

禁令

Biodiesel Yield Prediction from Sunflower Oil Using Artificial Intelligence: Towards Sustainable, anroposes an artificial intelligence (AI) framework to enhance the production process of biodiesel from sunflower oil. The framework consists of two phases: in the first phase, a Deep Learning (DL) model called VGG16 is employed to classify diseases affecting sunflower leaves, specifically Downy milde