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Proceedings of Second International Conference in Mechanical and Energy Technology

Part of the Smart Innovation, Systems and Technologies Book Series (volume 290)

Editors: Yadav, Sanjay; Haleem, Abid; Arora, P. K.; Kumar, Harish

DOI: 10.1007/978-981-19-0108-9

ISBN: 978-981-19-0107-2

Publisher: Springer Nature Singapore - Springer Journals

Jun 27, 2022

1 - 10 of 59 Chapters

LitStream

Chapter 1Redesign and Analysis of Cargo Containers for Delivery Drone Applications

Mishra, Shivanshu; Kumar, Vishal; Gani, Abdul; Shameem, Faisal

Pages: 1 –9

[Drone or octocopter drone is a new generation innovation that can perform operations like surveillance, media, etc. with ease setup and cost-efficient. The delivery drone is the upcoming evolution in the field of engineering. The design of cargo containers attached to drones affects the...
LitStream

Chapter 2The Opportunities and Challenges of Implementing Green Internet of Things (IoT) Towards Energy Saving Practices in the Current Environment

Vyas, Sonali; Narasima Venkatesh, A.; Acharjee, Purnendu Bikash; Jangali, Satish G.; Singh, Charanjeet; Khan, Zarrarahmed Z.

Pages: 11 –19

[The application of internet of things is considered as one of the key cornerstones in the new fifth generation network, it is estimated that more than 40 billion IoT devices will be in place around the work by 2025. The current focus of government and non-profit organisations revolves around...
LitStream

Chapter 3Monitoring of Infrastructure and Development for Smart Cities Supported by IoT Method

Reddy, Karri Rama Sai; Satwika, Chundru; Jaffino, G.; Singh, Mahesh K.

Pages: 21 –28

[This manuscript presents a smart monitoring system dependent on a wireless system. This method used Zigbee to collect real-time information about an urban environment. Here using the IoT-based communication for the long-term evaluation, it can be used to monitor from any place. It is consisting...
LitStream

Chapter 4A Review on Various Aerodynamics Control Techniques

Malik, Shashank; Shameem, Faisal

Pages: 29 –36

[The hiking in the fuel price is a great matter of concern. It is very necessary to solve this problem, in a research it is found that 50% of fuel energy consumption is due to aerodynamic drag. From the studies, it is observed that good aerodynamic technique helps in the reduction of drag. In...
LitStream

Chapter 5Air Pollution Index Prediction: A Machine Learning Approach

Maduri, Praveen Kumar; Dhiman, Preeti; Chaturvedi, Chinmay; Rai, Abhishek

Pages: 37 –51

[Nowadays air pollution has become a major problem for our present generation. Many research and innovations are done in order to deliver fresh and clean air and the first and the most important step in this process is the prediction and monitoring of air pollution index. For accurate prediction...
LitStream

Chapter 6A Comparative Study of Different IOT Sensors

Madhava Sai Teja, V.; Sai, B.; Veerapandu, G.; Singh, Mahesh K.

Pages: 53 –61

[The Internet of Things (IoT) is accepted concepts that have been functioned to many conventional areas for example business processes, medicine and smart cities etc. One of the major problems of an IoT method is the quantity of information; it has to monitor and to manage. This information turns...
LitStream

Chapter 7Evaluating the Performance of Deep Learning Methods and Its Impact on Digital Marketing

Gazala Masood, Ms.; Indhumathi, C.; Malyadri, Pacha.; Mayi, Krishna; Sumana, B. K.; Phasinam, Khongdet

Pages: 63 –71

[This article maps and explains how two distinct areas of the marketing sciences are now and potentially related to computer science. It analyses the interplay of DL in the academy, and at the same time proposes a machine research framework that might be appreciated in many respects of the...
LitStream

Chapter 8Effectiveness of Machine Learning Technology in Detecting Patterns of Certain Diseases Within Patient Electronic Healthcare Records

Sharma, Dilip Kumar; Chakravarthi, Dhruva Sreenivasa; Boddu, Raja Sarath Kumar; Madduri, Abhishek; Ayyagari, Maruthi Rohit; Khaja Mohiddin, Md.

Pages: 73 –81

[The research article sheds light on the effects of artificial intelligence and machine learning technologies to detect several diseases within patient electronic healthcare records. Apart from that, the usage and importance of machine learning technologies in detecting certain diseases is...
LitStream

Chapter 9Sparse Function Learning for Alzheimer’s Disease Detection Dependent on Magnetic Characteristics Imaging with Mark Information

Suma, Y.; Jaffino, G.; Singh, Mahesh K.

Pages: 83 –89

[To detect and classify Alzheimer’s disease accurately with moderate cognitive destruction, neuroimaging approaches had been used. The proposed role of the classification technique is further approved out in the SVM model. The investigational results based on the disease of Alzheimer neuroimaging...
LitStream

Chapter 10A Study on the Relationship Between Cloud Computing and Data Mining in Business Organizations

Sharma, Dilip Kumar; Dharmaraj, A.; Al Ayub Ahmed, Alim; Suresh Kumar, K.; Phasinam, Khongdet; Naved, Mohd

Pages: 91 –99

[In order to enhance information services quality, data extraction is a method through which potentially helpful data may be extracted. Integrated with cloud computing, data mining technology enables customers to obtain valuable information from a data warehouse that lowers infrastructure and...

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