Integration of IoT, Blockchain, and Machine Learning in Recycling: A Survey of Waste Management Innovations | Chapter 27 | Innovative Solutions: A Systematic Approach towards Sustainable Future

Over the past few years, the growing amount of garbage generated by households has become a major issue that is affecting society as a whole. The consequences of unmanaged garbage generation are extensive and include economic burdens, public health hazards, and environmental deterioration, from overflowing landfills to polluted waterways. In this endeavor, recycling becomes crucial since it provides a comprehensive answer to the intricate interplay of waste-related challenges. Recycling has the ability to lessen the negative consequences of household trash while also promoting environmental stewardship and community resilience since it diverts items from landfills and reimagines them as useful resources. This paper investigates and provides the reviews of the relationship between digital technology and recycling by analyzing various methods of recycling and social impact of current platforms. It also aims to provide a path for the future by spotting chances to use digital advances to promote sustainability and holistic wellness in the contemporary day. This investigation's insights highlight how important it is to combine digital technologies and recycling practices in order to effectively tackle the various issues that arise from home waste. Society may move towards a more sustainable future where waste is seen as a useful resource rather than a burden by utilizing the power of digital platforms.

 

Author (s) Details

 

Prof. Pallavi M O
Department of MCA, Acharya Institute of Technology, Bangalore,560107, India.

 

Arpitha H L
Department of MCA, Acharya Institute of Technology, Bangalore,560107, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-49238-47-3/CH27

An Analytical Study on Disruptive Technologies in Zimbabwe| Chapter 5 | Recent Progress in Science and Technology Vol. 2

 Our sink this study was to speak to causing trouble innovations in spite of cyber fraudsters who act the prowl. The goal concerning this study was therefore, to illustrate Zimbabwe's financial services area is embracing disruptive electronics and the preliminary benefits; one of the country's best financial institutions. The study selected the qualitative methodology accompanying a desk content study. The findings of the study are that: banks, as part of the monetary services industry, have the important roles in the development and economic development of a country with its own government; hence the necessity to insulate these institutions from the shenanigan of fraudsters. The study further discovered that Zimbabwean government's approach to novelty should be focused on big market changes alternatively on existing infrastructure. The study again found out that cyber-attacks are certain; however, skilled are various advantages to accepting disruptive technologies for the fiscal industry as labeled. There is need therefore, to fully understand disruptive technology and form its use more consummate. Apart from insulating information systems, calculatings, devices, programs, data and networks from within or external dangers, harm, damage, attacks or unauthorized access, - causing trouble technologies identified in the study to a degree Cloud computing, Artificial Intelligence, Block chain science, Cyber security, and Big Data; have other real benefits, ranging from serving more consumers, expanding retail share, to increasing revenue at a lower cost. The study suggested a couple of recommendations; that the economic service subdivision in Zimbabwe should adapt to causing trouble technologies and move from conservatism. That Regulators and the Government concede possibility soften investment laws and regulation to admit quick adoption to new causing trouble technologies what the financial service subdivision must invest in financial and workforce to enable nimble uptake of technological changes.

Author(s) Details:

Nyasha Kaseke,
University of Zimbabwe, P.O.Box MP167, Mt Pleasant Harare, Zimbabwe.

Enesiti Chirume,
Catholic University of Zimbabwe, P.O. Box H200, Hartfield, Harare, Zimbabwe.

Please see the link here: https://stm.bookpi.org/RPST-V2/article/view/9236