Zobrazeno 1 - 10
of 13 009
pro vyhledávání: '"hyperparameter"'
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:
Alexandria Engineering Journal, Vol 109, Iss , Pp 71-82 (2024)
Leveraging deep learning (DL) to inverse problems has proven transformative in predicting financial futures, mainly in stock price prediction. In terms of financial markets, where predicting stock price is a challenging inverse problem, DL methods li
Externí odkaz:
https://doaj.org/article/9f6328ce9f314f8aa389787d9d548726
Autor:
Ali Saeed Almuflih, Ilyos Abdullayev, Sergey Bakhvalov, Rustem Shichiyakh, Bibhuti Bhusan Dash, K. B. V. Brahma Rao, Kritika Bansal
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract The fast improvement of cyberattacks in the area of the Internet of Things (IoT) presents novel safety challenges to zero-day attacks. Intrusion detection systems (IDS) are generally focused on exact attacks to defend the use of IoT. However
Externí odkaz:
https://doaj.org/article/d2d1a86941294443b5188801b9d7f376
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:
Djordje Mladenovic, Milos Antonijevic, Luka Jovanovic, Vladimir Simic, Miodrag Zivkovic, Nebojsa Bacanin, Tamara Zivkovic, Jasmina Perisic
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-39 (2024)
Abstract This study examines the formidable and complex challenge of insider threats to organizational security, addressing risks such as ransomware incidents, data breaches, and extortion attempts. The research involves six experiments utilizing ema
Externí odkaz:
https://doaj.org/article/9bf627b47654456198370d38bdcbab87
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:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract To identify patterns in big medical datasets and use Deep Learning and Machine Learning (ML) to reliably diagnose Cardio Vascular Disease (CVD), researchers are currently delving deeply into these fields. Training on large datasets and produ
Externí odkaz:
https://doaj.org/article/de6c13eb9f5b489ba7d2b1fb9f4f6f9d