Zobrazeno 1 - 10
of 1 670
pro vyhledávání: '"Hyperparameter tuning"'
Autor:
Yuri Pamungkas, Dwinka Syafira Eljatin
Publikováno v:
Jurnal Sisfokom, Vol 13, Iss 3, Pp 360-368 (2024)
Nowadays, malaria has become an infectious disease with a high mortality rate. One way to detect malaria is through microscopic examination of blood preparations, which is done by experts and often takes a long time. With the development of deep lear
Externí odkaz:
https://doaj.org/article/7bf2a5ac21af475ab891d284df0c0269
Autor:
Sunawar khan, Tehseen Mazhar, Tariq Shahzad, Wajahat Waheed, Ahsen Waheed, Mamoon M. Saeed, Habib Hamam
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-22 (2024)
Abstract An accurate renewable energy output forecast is essential for energy efficiency and power system stability. Long Short-Term Memory(LSTM), Bidirectional LSTM(BiLSTM), Gated Recurrent Unit(GRU), and Convolutional Neural Network-LSTM(CNN-LSTM)
Externí odkaz:
https://doaj.org/article/0ff04fc9cb46499f9b9c873741103e0e
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-31 (2024)
Abstract Customer churn is a common problem faced by many industries, including telecommunication industries. This has resulted in the development of advanced techniques for the prediction and prevention of customer churn. The availability of stored
Externí odkaz:
https://doaj.org/article/433ff6ea5d0f41e4858a27ff9b55013a
Autor:
Jawhara Aljabri, Nada Alzaben, Nadhem NEMRI, Saad Alahmari, Shoayee Dlaim Alotaibi, Sana Alazwari, Alaa O. Khadidos, Anwer Mustafa Hilal
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 164-171 (2024)
With the fast development of the Internet of Things (IoTs), phishing attacks are transferring to this domain because of the number of IoT devices and private data they can handle. IoT phishing suggests the malicious practice of targeting IoT devices
Externí odkaz:
https://doaj.org/article/01a35a794b5b456a8e162728ac7b8ca0
Autor:
Sana Alazwari, Jamal Alsamri, Mashael M. Asiri, Mashael Maashi, Somia A. Asklany, Ahmed Mahmud
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Lung cancer (LC) is a life-threatening and dangerous disease all over the world. However, earlier diagnoses and treatment can save lives. Earlier diagnoses of malevolent cells in the lungs responsible for oxygenating the human body and expel
Externí odkaz:
https://doaj.org/article/c55187a98f5a441286faff8bc2961809
Autor:
Amal K. Alkhalifa, Nuha Alruwais, Wahida Mansouri, Munya A. Arasi, Mohammed Alliheedi, Fouad Shoie Alallah, Alaa O. Khadidos, Abdulrhman Alshareef
Publikováno v:
Alexandria Engineering Journal, Vol 111, Iss , Pp 148-159 (2025)
The Internet of Things (IoT) interconnects various devices and objects through the Internet to interact with corresponding devices or machines. Now, consumers can purchase many internet-connected products, from automobiles to refrigerators. Extending
Externí odkaz:
https://doaj.org/article/4ea90b3eb86742bbb7d62cbb0d40abf1
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 950-962 (2024)
The progress of autonomous transport systems (ATS) involves efficient multimedia communication for real-time data tradeoffs and environmental issues. Deep learning (DL) powered visual place recognition (VPR) was developed as an effective tool to impr
Externí odkaz:
https://doaj.org/article/23515ee52534427a94f927464e27c346
Publikováno v:
Eng, Vol 5, Iss 3, Pp 1905-1936 (2024)
Accurate estimation of the mean fragment size is crucial for optimizing open-pit mining operations. This study presents an approach that combines clustering, hyperparameter optimization, and data augmentation to enhance prediction accuracy using the
Externí odkaz:
https://doaj.org/article/80cfa2ff3d9b47a0aa93c42fe52102c8
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract This paper presents a comprehensive approach to harmonizing lunar calendars across different global regions, addressing the long-standing challenge of variations in new crescent Moon sightings that mark the beginning of lunar months. We prop
Externí odkaz:
https://doaj.org/article/7ab736b5c63d4f09a56828e54cb32ec2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Solar photovoltaic (PV) systems, integral for sustainable energy, face challenges in forecasting due to the unpredictable nature of environmental factors influencing energy output. This study explores five distinct machine learning (ML) mode
Externí odkaz:
https://doaj.org/article/d0299a2765fc46369b3310007666f053