„deep learning models“

Suchergebnisse

1.598 Treffer

• Fourier-Enhanced Deep Learning and Machine Learning Models for Predicting Multi-Scale PM2.5 Dynamics in Megacities: A Case Study of Delhi
  Sharma, Divyansh ; Thapar, Sapan ; Masood, Adil ; Sachdeva, Kamna
• Deep learning models for crop yield prediction in South India based on climate change
  Bhavana, Munugapati ; Rao, Koppula Srinivas
• Detection of foodborne Listeria monocytogenes using deep learning models to ensure food safety and health
  Ravindhiran, Ramya ; Dhandapani, Kavitha
• Optimized intrusion detection with deep learning classification models
  Eldakhly, Nabil M.
• Papaya Leaf Disease Classification Using Pre-trained Deep Learning Models: A Comparative Study
  Gulzar, Yonis
• Deep learning-based stacked models for cyber-attack detection in industrial internet of things
  Wu, Wang ; Fouzi, Harrou ; Benamar, Bouyeddo ; Sidi-Mohammed, Senouci ; Ying, Sun
• Underspecification and uncertainty in deep learning models: Is there a connection?
  Ramos Ferreira, Filipa M. M. ; Rossetti, Rosaldo J. F.
• Compact deep learning models for leaf disease classification and recognition in precision agriculture
  Mahto, Ishwar Chandra ; Mathew, Jimson
• Hybrid Wavelet-SVR, machine learning, and deep learning models for predicting clean energy markets amidst global events
  Kayral, İhsan Erdem ; Aktaş Bozkurt, Melike ; Bejaoui, Azza ; Jeribi, Ahmed
• Inverse kinematics solution for a six-degree-of-freedom upper limb rehabilitation robot using deep learning models
  Shah, Muhammad Faizan ; Khan, Naveed Ahmad ; Jamwal, Prashant K. ; Chetty, Girija ; Goecke, Roland ; Hussain, Shahid
• Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans
  Tawfeek, Medhat A. ; Alrashdi, Ibrahim ; Alruwaili, Madallah ; Shaban, Warda M. ; Talaat, Fatma M.
• Predicting Groundwater Levels Using Advanced Deep Learning Models: A Case Study of Raipur, India
  Thakur, Sneha ; Karmakar, Sanjeev
• Advancing Alzheimer’s detection: integrative approaches in MRI analysis with traditional and deep learning models
  Vanaja, T. ; Shanmugavadivel, Kogilavani ; Subramanian, Malliga ; Kanimozhiselvi, C. S.
• Integration of deep learning models for mineral prospectivity mapping: a novel Bayesian index approach to reducing uncertainty in exploration
  Hoseinzade, Zohre ; Shojaei, Mojgan ; Khademi, Farkhondeh ; Mokhtari, Ahmad Reza ; Saremi, Mobin
• Forecasting PM2.5 and Assessing Health Impacts in Texas Using Advanced Deep Learning Models
  Shahriar, Shihab Ahmad ; Choi, Yunsoo ; Islam, Rashik ; Kia, Hadi Zanganeh ; Shams, Seyedeh Reyhaneh ; Salman, Ahmed Khan
• Loepso, local optimum escape particle swarm optimization, an algorithm for traffic forecasting in software-defined networking using deep-learning models
  Talarposhti, Khadijeh Mirzaei ; Jabbehdari, Sam ; Rahmani, Amir Masoud
• Decomposition-based hybrid methods employing statistical, machine learning, and deep learning models for crude oil price forecasting
  Purohit, Sourav Kumar ; Panigrahi, Sibarama
• Stylometry-driven framework for Urdu intrinsic plagiarism detection: a comprehensive analysis using machine learning, deep learning, and large language models
  Manzoor, Muhammad Faraz ; Farooq, Muhammad Shoaib ; Abid, Adnan
• Enhancing intra-aural disease classification with attention-based deep learning models
  Demircan, Furkancan ; Ekinci, Murat ; Cömert, Zafer
• Assessing the impact of differential privacy in transfer learning with deep neural networks and transformer language models
  Sousa, Samuel ; Trügler, Andreas ; Kern, Roman