Smart City Gnosys

Smart city article details

Title	Machine Learning Algorithms For Data-Driven Intelligent Systems
ID_Doc	35874
Authors	Mahalle A.V.; Waghmare V.N.; Dhore A.; Raut R.M.; Barbudhe V.K.; Zanjat S.N.; Gaidhani V.A.
Year	2024
Published	Data-Driven Systems and Intelligent Applications
DOI	http://dx.doi.org/10.1201/9781003388449-4
Abstract	In today’s digital world, which is experiencing the Fourth Industrial Revolution (4IR, also known as Industry 4.0), data from the Internet of Things (IoT), cybersecurity, mobile devices, businesses, social media, health records, and more is abundant. Proficiency in artificial intelligence (AI), particularly in machine learning (ML), is crucial for conducting insightful data analysis and developing the corresponding intelligent and automated applications. In this area of machine learning, a large range of supervised, unsupervised, semi-supervised, and reinforcement learning methods may be found. Deep learning, a subset of machine learning technology, can also analyze large amounts of data intelligently. In this work, we present a comprehensive overview of several machine learning techniques that can be applied to enhance the intelligence and capabilities of an application. Therefore, this study’s primary contribution is to explain the principles of various machine learning techniques and how they may be used in a variety of real-world contexts, such as cybersecurity systems, smart cities, healthcare, e-commerce, agriculture, and countless more. We also highlight the challenges and potential directions for future research that our analysis may reveal. This chapter’s major objective is to give decision-makers, researchers, and entrepreneurs a technical point of reference for a range of real-world situations and application domains. © 2025 selection and editorial matter, Mangesh M. Ghonge, N. Krishna Chaitanya, Pradeep N., Harish Garg, and Alessandro Bruno; individual chapters, the contributors.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
36082	0.975	Sarker I.H.	Machine Learning: Algorithms, Real-World Applications And Research Directions	SN Computer Science, 2, 3 (2021)
15313	0.909	Singh K.; Kumar A.; Singha N.S.; Jhariya D.K.	Comprehensive Framework And Classification Of Advanced Artificial Intelligence And Machine Learning Modelling Techniques	Artificial Intelligence and Machine Learning Applications for Sustainable Development (2025)
35883	0.893	Oladipo I.D.; AbdulRaheem M.; Awotunde J.B.; Bhoi A.K.; Adeniyi E.A.; Abiodun M.K.	Machine Learning And Deep Learning Algorithms For Smart Cities: A Start-Of-The-Art Review	EAI/Springer Innovations in Communication and Computing (2022)
35990	0.892	Chen Z.; Tian P.; Qian C.; Liao W.; Hussaini A.; Yu W.	Machine Learning Frameworks In Iot Systems: A Survey, Case Study, And Future Research Directions	Smart Spaces: a volume in Intelligent Data-Centric Systems (2024)
10416	0.888	Singh V.; Sinduja K.; Singh V.B.P.; Singh B.; Ekvitayavetchanukul P.; Nath N.	Artificial Intelligence And Machine Learning: Shaping The Future Of Computing With Significant Real-World Potential	Integrated Technologies in Electrical, Electronics and Biotechnology Engineering (2025)
31974	0.887	Gupta S.; Kumar V.	Integrating Deep Learning, Machine Learning, Ai, Iot And Data Science For Future Innovations	Proceedings - 2024 4th International Conference on Soft Computing for Security Applications, ICSCSA 2024 (2024)
36025	0.885	Afshan N.; Rout R.K.	Machine Learning Techniques For Iot Data Analytics	Big Data Analytics for Internet of Things (2021)
41666	0.884	Bedi P.; Goyal S.B.; Islam S.M.N.; Liu J.; Budati A.K.	Performance Analysis Of Machine Learning And Deep Learning Algorithms For Smart Cities: The Present State And Future Directions	Cognitive Computing Models in Communication Systems (2022)
36075	0.882	Bzai J.; Alam F.; Dhafer A.; Bojović M.; Altowaijri S.M.; Niazi I.K.; Mehmood R.	Machine Learning-Enabled Internet Of Things (Iot): Data, Applications, And Industry Perspective	Electronics (Switzerland), 11, 17 (2022)
6562	0.88	Zeba S.; Haque M.A.; Alhazmi S.; Haque S.	Advanced Topics In Machine Learning	Machine Learning Methods for Engineering Application Development (2022)