„Statistics--Data processing“

Suchergebnisse

10.000+ Treffer

• Application of spiking neural networks and traditional artificial neural networks for solar radiation forecasting in photovoltaic systems in Arab countries
  Ayasi, Bahgat ; Vázquez, Iago X. ; Saleh, Mohammed ; Garcia-Vico, Angel M. ; Carmona, Cristóbal J.
• Enhanced grid stability and prolonging life span in renewable energy power converters using an advanced Sugeno-type AI-based neuro-fuzzy control
  Özden, Mustafa ; Ertekin, Davut ; Baltacı, Kübra
• Neural network-based surrogate model in postprocessing of topology optimized structures
  Persia, Jude Thaddeus ; Sung, Myung Kyun ; Lee, Soobum ; Burns, Devin E.
• Enhanced early detection of ovarian cancer through deep learning and fuzzy rough sets
  Eldakhly, Nabil M.
• DeepLeaf: an optimized deep learning approach for automated recognition of grapevine leaf diseases
  Talaat, Fatma M. ; Shams, Mahmoud Y. ; Gamel, Samah A. ; ZainEldin, Hanaa
• Infinite impulse response based reliable fractional order digital differentiator identification using an evolutionary optimization approach
  Dey, Souvik ; Roy, Provas Kumar ; Sarkar, Angsuman
• Enhancing anomaly detection in WBANs using hybrid deep learning and optimization algorithms
  Thamaraimanalan, T. ; Ramalingam, S.
• Prediction of recurrent venous thromboembolism using a spatiotemporal phenomenological model and artificial neural network
  Bannoud, Mohamad Al ; Martins, Tiago Dias ; Lima Montalvão, Silmara Aparecida de ; Annichino-Bizzacchi, Joyce Maria ; Filho, Rubens Maciel ; Maciel, Maria Regina Wolf
• Artificial neural network for the evaluation of electric propulsion system in unmanned aerial vehicles
  Goli, Srikanth ; Kurtuluş, Dilek Funda ; Waqar, Muhammad ; Imran, Imil Hamda ; Alhems, Luai M. ; Kouser, Taiba ; Memon, Azhar M.
• qLIF: Mitigating the memory and computation overhead to implement spiking convolutional neural networks
  Li, Silong ; Wang, Ningning ; Kang, Xinyu ; Yu, Chunlin ; Ye, Terry Tao
• Advanced machine learning techniques for predicting power generation and fault detection in solar photovoltaic systems
  Abdelsattar, Montaser ; AbdelMoety, Ahmed ; Emad-Eldeen, Ahmed
• From data to diagnosis: evaluation of machine learning models in predicting kidney stones
  Iparraguirre-Villanueva, Orlando ; Paucar-Palomino, George ; Paulino-Moreno, Cleoge
• Pedestrian mask-wearing detection based on YOLOv5 and DeepSORT
  Wang, Shuai ; Shibghatullah, Abdul Samad ; Keoy, Kay Hooi ; Iqbal, Javid
• DSR-CM: decoupled long-term sequential recommendation model leveraging competitive mechanism
  Cui, Shaoguo ; Li, Xingyu
• Optimizing auditory brainstem response detection through NSGA-II guided feature selection
  Majidpour, Jafar ; Hassanzadeh, Hiwa ; Khezri, Edris ; Arabi, Hossein
• An artificial intelligence approach for predicting water-filled porosity and water saturation for carbonate reservoirs using conventional well logs
  Oshaish, Ali ; Abdulraheem, Abdulazeez ; Hassan, Amjed ; El-Husseiny, Ammar ; Mahmoud, Mohamed
• A new R&D-based algorithm for optimization of large-scale problems
  Hajimiri, Hossein ; Bagheri, Amir
• Evidential uncertainty quantification with multiple deep learning architectures for spatiotemporal drought forecasting
  Ferchichi, Ahlem ; Chihaoui, Mejda ; Toujani, Radhia ; Ferchichi, Aya ; Hendaoui, Fatma
• Classification of Saudi Coffee beans using a mobile application leveraging squeeze vision transformer technology
  Alhasson, Haifa F. ; Alharbi, Shuaa S.
• VireNet-SSD: object detection model for resource-constrained applications based on self-organized operational neural networks
  Kamath, Vidya ; Renuka, A.