Synthetic biology for waste water to energy conversion: IOT and AI approaches

N Venkateswaran, SS Kumar, G Diwakar… - … of Synthetic Biology in …, 2023 - igi-global.com
Abstract Waste-to-energy (WtE) is a process that generates electricity and heat from waste
treatment or processing into fuel sources. WtE can reduce greenhouse gas emissions …

Application of TOPSIS Optimization Technique in the Micro-Machining Process

B Sampath, C Sasikumar, S Myilsamy - Trends, Paradigms, and …, 2023 - igi-global.com
Multi-criteria optimization techniques have been applied to predict the best alternative
solutions to meet the best results for all attributes. In the micro-machining processes, the …

Experimental investigation and multi-objective optimization of eco-friendly near-dry electrical discharge machining of shape memory alloy using Cu/SiC/Gr composite …

NV Gowri, JN Dwivedi, K Krishnaveni… - … Science and Pollution …, 2023 - Springer
The near-dry electrical discharge machining processes have been conducted using air-mist
or gas mist as a dielectric fluid to minimize the environmental impacts. In this article, near-dry …

Deep Learning Techniques Applied for Automatic Sentence Generation

S Boopathi - Promoting Diversity, Equity, and Inclusion in Language …, 2023 - igi-global.com
Automatic sentence generation is an important problem in natural language processing that
has many applications, including language translation, summarization, and chatbots. Deep …

Cryogenically treated and untreated stainless steel grade 317 in sustainable wire electrical discharge machining process: A comparative study

S Boopathi - Environmental Science and Pollution Research, 2023 - Springer
In this research, the influences of cryogenically treated stainless steel grade 317 on the eco-
friendly near-dry wire-cut electrical discharge machining (NDWEDM) processes have been …

Machine learning and artificial intelligence in disease prediction: Applications, challenges, limitations, case studies, and future directions

K Ramudu, VM Mohan, D Jyothirmai… - … Applications of Data …, 2023 - igi-global.com
Artificial intelligence (AI) based disease identification has the potential to transform medicine
by utilizing machine learning algorithms and techniques to analyze large volumes of …

Machine learning-integrated IoT-based smart home energy management system

M Syamala, CR Komala, PV Pramila… - … of Research on Deep …, 2023 - igi-global.com
The internet of things (IoT) is an important data source for data science technology,
providing easy trends and patterns identification, enhanced automation, constant …

Advances in artificial intelligence for image processing: techniques, applications, and optimization

S Boopathi, BK Pandey, D Pandey - Handbook of research on thrust …, 2023 - igi-global.com
AI has had a substantial influence on image processing, allowing cutting-edge methods and
uses. The foundations of image processing are covered in this chapter, along with …

Internet of Things-Integrated Remote Patient Monitoring System: Healthcare Application

S Boopathi - Dynamics of Swarm Intelligence Health analysis for the …, 2023 - igi-global.com
Remote monitoring technologies are required to remotely monitor patients. The internet of
things allows for remote monitoring of smart devices and apps, but sensors are used to track …

Cloud Computing Principles for Optimizing Robot Task Offloading Processes

U Rahamathunnisa, K Sudhakar… - AI-Enabled Social …, 2023 - igi-global.com
In this chapter, the integration of two rapidly evolving concepts for integration of robotics and
cloud computing has been illustrated. Intelligent robots should be preferred over low-cost …