• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 10,723 matches

• 2023
• 
  Severin Elvatun:
  Towards more personalized cervical cancer prevention: Prototyping data-driven methods predicting cervical cancer development from cancer registry data. University of Oslo, Norway, 2023
• 
  Khushnood Abbas, Mohammad Kamrul Hasan, Alireza Abbasi, Umi Asma' Mokhtar, Asif Khan, Siti Norul Huda Sheikh Abdullah, Shi Dong, Shayla Islam, Dabiah Ahmed Alboaneen, Fatima Rayan Awad Ahmed:
  Predicting the Future Popularity of Academic Publications Using Deep Learning by Considering It as Temporal Citation Networks. IEEE Access 11: 83052-83068 (2023)
• 
  Ahmed Abdelaziz, Vítor Santos, Miguel Sales Dias:
  Convolutional Neural Network With Genetic Algorithm for Predicting Energy Consumption in Public Buildings. IEEE Access 11: 64049-64069 (2023)
• 
  Essa Alhazmi, Abdullah Sheneamer:
  Early Predicting of Students Performance in Higher Education. IEEE Access 11: 27579-27589 (2023)
• 
  Chaher Alzaman, Tariq Aljuneidi, Zhaojun Li:
  Predicting Bike Usage and Optimizing Operations at Repair Shops in Bike Sharing Systems. IEEE Access 11: 32534-32547 (2023)
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  Mauricio Argotty-Erazo, Antonio Blázquez-Zaballos, Carlos A. Argoty-Eraso, Leandro Leonardo Lorente-Leyva, Nadia N. Sánchez-Pozo, Diego Hernán Peluffo-Ordóñez:
  A Novel Linear-Model-Based Methodology for Predicting the Directional Movement of the Euro-Dollar Exchange Rate. IEEE Access 11: 67249-67284 (2023)
• 
  Federico D'Antoni, Lorenzo Petrosino, Alessandro Marchetti, Luca Bacco, Silvia Pieralice, Luca Vollero, Paolo Pozzilli, Vincenzo Piemonte, Mario Merone:
  Layered Meta-Learning Algorithm for Predicting Adverse Events in Type 1 Diabetes. IEEE Access 11: 9074-9094 (2023)
• 
  Thanh Cong Do, Hyung-Jeong Yang, Guee-Sang Lee, Soo-Hyung Kim, Bo-Gun Kho:
  Rapid Response System Based on Graph Attention Network for Predicting In-Hospital Clinical Deterioration. IEEE Access 11: 29091-29100 (2023)
• 
  Oladipo Folorunso, Peter O. Olukanmi, Thokozani Shongwe, Rotimi Sadiku, Yskandar Hamam:
  Development of Series-Parallel and Neural-Network Based Models for Predicting Electrical Conductivity of Polymer Nanocomposite. IEEE Access 11: 92875-92886 (2023)
• 
  Agus Tri Haryono, Riyanarto Sarno, Kelly Rossa Sungkono:
  Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators. IEEE Access 11: 77132-77146 (2023)
• 
  Shahid Iqbal, Adnan Ahmed, Mohammad Siraj, Majid Altamimi, Ali Raza Bhangwar, Pardeep Kumar:
  A Multi-Hop QoS-Aware and Predicting Link Quality Estimation (PLQE) Routing Protocol for Reliable WBSN. IEEE Access 11: 35993-36003 (2023)
• 
  Madiha Jaffar, Sundas Shafiq, Nazia Shahzadi, Nabil Ali Alrajeh, Mohsin Jamil, Nadeem Javaid:
  Efficient Deep Learning Models for Predicting Super-Utilizers in Smart Hospitals. IEEE Access 11: 87676-87693 (2023)
• 
  Richard Lupat, Rashindrie Perera, Sherene Loi, Jason Li:
  Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes. IEEE Access 11: 10912-10924 (2023)
• 
  Elena Memmel, Thomas Steens, Sunke Schlüters, Rasmus Völker, Frank Schuldt, Karsten von Maydell:
  Predicting Renewable Curtailment in Distribution Grids Using Neural Networks. IEEE Access 11: 20319-20336 (2023)
• 
  Dingqiang Peng, Lantao Yang, Yimin Shao:
  A Method for Predicting the Boring Topography Error of Shaft Hole on a Thin-Walled Box Based on a Proposed Dynamic Model. IEEE Access 11: 3129-3143 (2023)
• 
  Quang T. M. Pham, Jong Chul Han, Do Young Park, Jitae Shin:
  Multimodal Deep Learning Model of Predicting Future Visual Field for Glaucoma Patients. IEEE Access 11: 19049-19058 (2023)
• 
  Shima Pouyan, Mostafa Charmi, Ali Azarpeyvand, Hossein Hassanpoor:
  Propounding First Artificial Intelligence Approach for Predicting Robbery Behavior Potential in an Indoor Security Camera. IEEE Access 11: 60471-60489 (2023)
• 
  Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, Richard Carley, Amin Amirlatifi, Shahram Rahimi, Maria Seale, Linkan Bian:
  Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review. IEEE Access 11: 41741-41769 (2023)
• 
  Ardianto Satriawan, Airlangga Adi Hermawan, Yakub Fahim Luckyarno, Ji-Hoon Yun:
  Predicting Future Eye Gaze Using Inertial Sensors. IEEE Access 11: 67482-67497 (2023)
• 
  Swati Swati, Dunja Mladenic, Marko Grobelnik:
  An Inferential Commonsense-Driven Framework for Predicting Political Bias in News Headlines. IEEE Access 11: 80886-80902 (2023)
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  Pooja Yadav, S. C. Sharma, Rajesh Mahadeva, Shashikant P. Patole:
  Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier. IEEE Access 11: 80030-80055 (2023)
• 
  Wentao Zhou, Longqin Xu, Lin Yang, Shuangyin Liu, Min He, Qingfeng Sheng, Tonglai Liu, Jianjun Guo, Dachun Feng, Shahbaz Gul Hassan, Liang Cao:
  A Hybrid Model for Predicting the Environment Humidity of Pigeon Sheds. IEEE Access 11: 92258-92272 (2023)
• 
  Oleg I. Sheluhin, Andrey Osin, D. I. Rakovsky:
  New Algorithm for Predicting the States of a Computer Network Using Multivalued Dependencies. Autom. Control. Comput. Sci. 57(1): 48-60 (2023)
• 
  Ruoxin Xiong, Yanyu Wang, Pingbo Tang, Nancy J. Cooke, Sarah V. Ligda, Christopher S. Lieber, Yongming Liu:
  Predicting separation errors of air traffic controllers through integrated sequence analysis of multimodal behaviour indicators. Adv. Eng. Informatics 55: 101894 (2023)
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  Andrew C. Cullen, Benjamin I. P. Rubinstein, Sithamparanathan Kandeepan, Barry Flower, Philip H. W. Leong:
  Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction. Artif. Intell. Rev. 56(10): 10921-10959 (2023)
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  Deepti Shakya, Vishal Deshpande, Bimlesh Kumar, Mayank Agarwal:
  Predicting total sediment load transport in rivers using regression techniques, extreme learning and deep learning models. Artif. Intell. Rev. 56(9): 10067-10098 (2023)
• 
  Taihao Han, Sai Akshay Ponduru, Arianit Reka, Jie Huang, Gaurav Sant, Aditya Kumar:
  Predicting Dissolution Kinetics of Tricalcium Silicate Using Deep Learning and Analytical Models. Algorithms 16(1): 7 (2023)
• 
  Fabian Clemens Weigend, David C. Clarke, Oliver Obst, Jason Siegler:
  A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise. Ann. Oper. Res. 325(1): 589-613 (2023)
• 
  Covadonga Diez Sanmartin, Antonio Sarasa Cabezuelo, Amado Andrés Belmonte:
  A new approach to predicting mortality in dialysis patients using sociodemographic features based on artificial intelligence. Artif. Intell. Medicine 136: 102478 (2023)
• 
  Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov:
  Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations. Appl. Soft Comput. 143: 110408 (2023)

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