Zobrazeno 1 - 10
of 1 428
pro vyhledávání: '"android app"'
Autor:
Harsh Nagar, Rajendra Machavaram, Ambuj, Peeyush Soni, Subhajit Saha, T. Subhash Chandra Bose
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
Knowing tractor drawbar pull is crucial to ensure the tractor can handle the required workload efficiently and safely, preventing soil damage and optimising field productivity. The present study proposes a novel approach for tractor drawbar pull pred
Externí odkaz:
https://doaj.org/article/c0a3baaad9104e48af44c4e409709736
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractThe fuel consumption model serves as a valuable tool for estimating real-time fuel consumption levels. An accurate fuel consumption model is crucial in providing precise information regarding fuel utilisation and motivating experts to assess
Externí odkaz:
https://doaj.org/article/c66a17eddf6648b2bb207b94b4ff6f02
Publikováno v:
Biosfer: Jurnal Tadris Biologi, Vol 14, Iss 2, Pp 205-215 (2024)
This study is a classroom action research conducted at SMA Negeri A Bondowoso, specifically in class XC with a total of 36 students, during the second semester of the academic year 2022/2023. In this research, both quantitative and qualitative data w
Externí odkaz:
https://doaj.org/article/f8e6772635a4482fbb51c8d7bfbc5a44
Autor:
M. K. Kirar
Publikováno v:
Journal of Operation and Automation in Power Engineering, Vol 11, Iss 1, Pp 69-75 (2023)
The Internet of Things (IoT) is a multidisciplinary concept that includes a wide range of application domains and device capabilities. The IoT technology provides a platform that allows apparatus to be monitored by sensors, connected using a communic
Externí odkaz:
https://doaj.org/article/ea5ae19d6bee47389bda66822e077f0c
Autor:
Raghav Agarwal, Gaurav Sharma, Nirdesh Singh, Hrishikesh S Nair, Yash Daga, D Venkata Lakshmi
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 10, Iss 4 (2023)
A growing population necessitates more transportation, which pressures car parking spots. Parking is a problem for public places in cities, such as theatres, malls, parks, and temples. Even though several techniques have been suggested in publication
Externí odkaz:
https://doaj.org/article/a1ab9742921f4f5e81a79d0d69fad38a
Peningkatan Keterampilan Guru dalam Pembuatan Media Pembelajaran Berbasis Android Bermuatan Soal AKM
Publikováno v:
Jurnal Pengabdian UNDIKMA, Vol 4, Iss 1, Pp 194-205 (2023)
This community service activity aims to describe improving teacher skills in making Android-based learning media containing AKM questions. The method of the service program was carried out with pre-activity procedures, implementation of activities wh
Externí odkaz:
https://doaj.org/article/3c08f82ff0ea40458592d4eb1c4d10b2
Publikováno v:
Jisuanji kexue, Vol 49, Iss 12, Pp 136-145 (2022)
With the development of mobile hardware and 5G communication technologies,smart applications are booming,which has penetrated into all the aspects of our life and work.There are many functions in applications,which can not only satisfy the user’s r
Externí odkaz:
https://doaj.org/article/5ad6bf760e6942faab93a9423afbfcac
ViT-SmartAgri: Vision Transformer and Smartphone-Based Plant Disease Detection for Smart Agriculture
Autor:
Utpal Barman, Parismita Sarma, Mirzanur Rahman, Vaskar Deka, Swati Lahkar, Vaishali Sharma, Manob Jyoti Saikia
Publikováno v:
Agronomy, Vol 14, Iss 2, p 327 (2024)
Invading pests and diseases always degrade the quality and quantity of plants. Early and accurate identification of plant diseases is critical for plant health and growth. This work proposes a smartphone-based solution using a Vision Transformer (ViT
Externí odkaz:
https://doaj.org/article/f79f75e415af4fcc94b3e46e148da26e
Publikováno v:
Al-Ishlah: Jurnal Pendidikan, Vol 14, Iss 4, Pp 5477-5482 (2022)
The learning that has been carried out so far, both conventionally and those who have implemented e-learning using computer devices, then slowly changes to mobile-based learning by utilizing smartphones and tablets. The use of ICT in history learning
Externí odkaz:
https://doaj.org/article/2db1e7536aaa415eae3516a848da403b
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
Autor:
Deepraj Chowdhury, Anik Das, Ajoy Dey, Soham Banerjee, Muhammed Golec, Dimitrios Kollias, Mohit Kumar, Guneet Kaur, Rupinder Kaur, Rajesh Chand Arya, Gurleen Wander, Praneet Wander, Gurpreet Singh Wander, Ajith Kumar Parlikad, Sukhpal Singh Gill, Steve Uhlig
Publikováno v:
BenchCouncil Transactions on Benchmarks, Standards and Evaluations, Vol 3, Iss 2, Pp 100119- (2023)
COVID-19 was one of the deadliest and most infectious illnesses of this century. Research has been done to decrease pandemic deaths and slow down its spread. COVID-19 detection investigations have utilised Chest X-ray (CXR) images with deep learning
Externí odkaz:
https://doaj.org/article/fc6239f292c74eb79f074a8898bff312