Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Hermawan, Nugroho"'
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-14 (2024)
Abstract This study explores the application of Artificial Intelligence (AI), specifically Convolutional Neural Networks (CNNs), for detecting rice plant diseases using ARM Cortex-M microprocessors. Given the significant role of rice as a staple food
Externí odkaz:
https://doaj.org/article/372dac8e263b43b1bcd6339e4cc7c2cd
Publikováno v:
IEEE Access, Vol 12, Pp 148267-148280 (2024)
The increasing need for efficient and sustainable agriculture has driven the adoption of advanced technologies like Artificial Intelligence (AI) in crop management. This study evaluates the feasibility of deploying AI models on ARM-M microcontrollers
Externí odkaz:
https://doaj.org/article/dfca012536294603a38535656dac0913
Autor:
Verianti Liana, Rizal Arifiandika, Bagas Rohmatulloh, Riris Waladatun Nafi’ah, Arif Hidayat, Yusuf Hendrawan, Dimas Firmanda Al-Riza, Tunjung Mahatmanto, Hermawan Nugroho
Publikováno v:
Advances in Food Science, Sustainable Agriculture, and Agroindustrial Engineering, Vol 6, Iss 4, Pp 382-398 (2023)
Edible Bird’s Nest (EBN), a costly food product made from swiftlet’s saliva, has encountered a longstanding problem of plucking the swiftlet’s feather from the nests. The destructive and inefficient manual process of plucking the feathers can b
Externí odkaz:
https://doaj.org/article/c9b1fb8f81904732b6397303a066b26f
Autor:
Muhammad Ilhamdi Rusydi, Mir'atul Khairiah, Kalputra Hadi, Syafii, Agung Wahyu Setiawan, Ises Reni, Hermawan Nugroho, Noverika Windasari
Publikováno v:
IEEE Access, Vol 10, Pp 102907-102918 (2022)
The wheelchair is one of the most common assistive technologies for people with motor impairment, due to its environmentally friendly features in terms of mobility and comfort. However, the operational method for the conventional wheelchair is still
Externí odkaz:
https://doaj.org/article/67d927be30f9452b8c38fb11935aa0c3
Publikováno v:
Journal of Agriculture and Food Research, Vol 10, Iss , Pp 100389- (2022)
This research examines and explores four different pre-trained CNN deep learning models (AlexNet, VGG16, ResNet50, and DenseNet121) to be adopted as edge solution. The model is developed and evaluated using the PlantVillage dataset. Image transformat
Externí odkaz:
https://doaj.org/article/939b684a56ae4276be7c4a54be6b1f35
Publikováno v:
IEEE Access, Vol 9, Pp 29180-29199 (2021)
With the exponential rise of the number of IoT devices, the amount of data being produced is massive. Thus, it is unfeasible to send all the raw data directly to the cloud for processing, especially for data that is high dimensional. Training deep le
Externí odkaz:
https://doaj.org/article/2bc103018d0349a3b7cab697e621114e
Publikováno v:
PeerJ Computer Science, Vol 7, p e633 (2021)
Incremental learning evolves deep neural network knowledge over time by learning continuously from new data instead of training a model just once with all data present before the training starts. However, in incremental learning, new samples are alwa
Externí odkaz:
https://doaj.org/article/1bc6c98fb07e4523b7cbe8396ae451c0
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:4023-4038
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14050df1b547d27173b22a923af5fb55
https://doi.org/10.1007/s12652-022-04469-6
https://doi.org/10.1007/s12652-022-04469-6
Autor:
Hermawan Nugroho, Ikhwan Arief, Muhammad Khalish, Nurul Azizah Dhuha, Budi Agung Santoso, Dhiny Yurichy Putri, Yoan Winata, Muhammad Ilhamdi Rusydi
Publikováno v:
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer. 21:283-292
Penelitian ini bertujuan untuk membuat sebuah platform pengaduan perundungan berlandaskan bukti yang terhubung dengan institusi terkait. Orang ketiga dapat menggunakan platform ini untuk melaporkan kejadian perundungan. Platform ini juga dapat diguna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9ce248ff5442878017eb5cdce16f008
https://doi.org/10.30812/matrik.v21i2.1547
https://doi.org/10.30812/matrik.v21i2.1547
Publikováno v:
Pertanika Journal of Science and Technology. 30:1157-1170
The increasing number of smart devices has led to a rise in the complexity and volume of the image generated. Deep learning is an increasingly common approach for image classification, a fundamental task in many applications. Due to its high computat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef0d940674ae68ab39ac8f3c7a19ff0f
https://doi.org/10.47836/pjst.30.2.17
https://doi.org/10.47836/pjst.30.2.17