Predicting Tunnel Squeezing Using Multiclass Support Vector Machines by Yang Sun, Xianda Feng, Lingqiang Yang

“…Therefore, accurate prediction or identification of tunnel squeezing is extremely important in the design and construction of tunnels. …”
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Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar, Tanuj Chopra

“…A comparative analysis for the prediction of compressive strength of concrete at the ages of 28, 56, and 91 days has been carried out using machine learning techniques via “R” software environment. …”
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Physiological-Social Scores in Predicting Outcomes of Prehospital Internal Patients by Abbasali Ebrahimian, Hesam Seyedin, Roohangiz Jamshidi-Orak, Gholamreza Masoumi

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Insulin Resistance Predicts Atherogenic Lipoprotein Profile in Nondiabetic Subjects by Flávia De C. Cartolano, Gabriela D. Dias, Maria C. P. de Freitas, Antônio M. Figueiredo Neto, Nágila R. T. Damasceno

“…For that, we evaluated the capacity of IR to predict an atherogenic lipid subfraction profile. …”
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Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning. by Elizabeth A Cromwell, Joshua C P Osborne, Thomas R Unnasch, Maria-Gloria Basáñez, Katherine M Gass, Kira A Barbre, Elex Hill, Kimberly B Johnson, Katie M Donkers, Shreya Shirude, Chris A Schmidt, Victor Adekanmbi, Olatunji O Adetokunboh, Mohsen Afarideh, Ehsan Ahmadpour, Muktar Beshir Ahmed, Temesgen Yihunie Akalu, Ziyad Al-Aly, Fahad Mashhour Alanezi, Turki M Alanzi, Vahid Alipour, Catalina Liliana Andrei, Fereshteh Ansari, Mustafa Geleto Ansha, Davood Anvari, Seth Christopher Yaw Appiah, Jalal Arabloo, Benjamin F Arnold, Marcel Ausloos, Martin Amogre Ayanore, Atif Amin Baig, Maciej Banach, Aleksandra Barac, Till Winfried Bärnighausen, Mohsen Bayati, Krittika Bhattacharyya, Zulfiqar A Bhutta, Sadia Bibi, Ali Bijani, Somayeh Bohlouli, Mahdi Bohluli, Oliver J Brady, Nicola Luigi Bragazzi, Zahid A Butt, Felix Carvalho, Souranshu Chatterjee, Vijay Kumar Chattu, Soosanna Kumary Chattu, Natalie Maria Cormier, Saad M A Dahlawi, Giovanni Damiani, Farah Daoud, Aso Mohammad Darwesh, Ahmad Daryani, Kebede Deribe, Samath Dhamminda Dharmaratne, Daniel Diaz, Hoa Thi Do, Maysaa El Sayed Zaki, Maha El Tantawi, Demelash Abewa Elemineh, Anwar Faraj, Majid Fasihi Harandi, Yousef Fatahi, Valery L Feigin, Eduarda Fernandes, Nataliya A Foigt, Masoud Foroutan, Richard Charles Franklin, Mohammed Ibrahim Mohialdeen Gubari, Davide Guido, Yuming Guo, Arvin Haj-Mirzaian, Kanaan Hamagharib Abdullah, Samer Hamidi, Claudiu Herteliu, Hagos Degefa de Hidru, Tarig B Higazi, Naznin Hossain, Mehdi Hosseinzadeh, Mowafa Househ, Olayinka Stephen Ilesanmi, Milena D Ilic, Irena M Ilic, Usman Iqbal, Seyed Sina Naghibi Irvani, Ravi Prakash Jha, Farahnaz Joukar, Jacek Jerzy Jozwiak, Zubair Kabir, Leila R Kalankesh, Rohollah Kalhor, Behzad Karami Matin, Salah Eddin Karimi, Amir Kasaeian, Taras Kavetskyy, Gbenga A Kayode, Ali Kazemi Karyani, Abraham Getachew Kelbore, Maryam Keramati, Rovshan Khalilov, Ejaz Ahmad Khan, Md Nuruzzaman Nuruzzaman Khan, Khaled Khatab, Mona M Khater, Neda Kianipour, Kelemu Tilahun Kibret, Yun Jin Kim, Soewarta Kosen, Kris J Krohn, Dian Kusuma, Carlo La Vecchia, Van Charles Lansingh, Paul H Lee, Kate E LeGrand, Shanshan Li, Joshua Longbottom, Hassan Magdy Abd El Razek, Muhammed Magdy Abd El Razek, Afshin Maleki, Abdullah A Mamun, Ali Manafi, Navid Manafi, Mohammad Ali Mansournia, Francisco Rogerlândio Martins-Melo, Mohsen Mazidi, Colm McAlinden, Birhanu Geta Meharie, Walter Mendoza, Endalkachew Worku Mengesha, Desalegn Tadese Mengistu, Seid Tiku Mereta, Tomislav Mestrovic, Ted R Miller, Mohammad Miri, Masoud Moghadaszadeh, Abdollah Mohammadian-Hafshejani, Reza Mohammadpourhodki, Shafiu Mohammed, Salahuddin Mohammed, Masoud Moradi, Rahmatollah Moradzadeh, Paula Moraga, Jonathan F Mosser, Mehdi Naderi, Ahamarshan Jayaraman Nagarajan, Gurudatta Naik, Ionut Negoi, Cuong Tat Nguyen, Huong Lan Thi Nguyen, Trang Huyen Nguyen, Rajan Nikbakhsh, Bogdan Oancea, Tinuke O Olagunju, Andrew T Olagunju, Ahmed Omar Bali, Obinna E Onwujekwe, Adrian Pana, Hadi Pourjafar, Fakher Rahim, Mohammad Hifz Ur Rahman, Priya Rathi, Salman Rawaf, David Laith Rawaf, Reza Rawassizadeh, Serge Resnikoff, Melese Abate Reta, Aziz Rezapour, Enrico Rubagotti, Salvatore Rubino, Ehsan Sadeghi, Abedin Saghafipour, S Mohammad Sajadi, Abdallah M Samy, Rodrigo Sarmiento-Suárez, Monika Sawhney, Megan F Schipp, Amira A Shaheen, Masood Ali Shaikh, Morteza Shamsizadeh, Kiomars Sharafi, Aziz Sheikh, B Suresh Kumar Shetty, B Suresh Kumar Shetty, Jae Il Shin, K M Shivakumar, Biagio Simonetti, Jasvinder A Singh, Eirini Skiadaresi, Amin Soheili, Shahin Soltani, Emma Elizabeth Spurlock, Mu'awiyyah Babale Sufiyan, Takahiro Tabuchi, Leili Tapak, Robert L Thompson, Alan J Thomson, Eugenio Traini, Bach Xuan Tran, Irfan Ullah, Saif Ullah, Chigozie Jesse Uneke, Bhaskaran Unnikrishnan, Olalekan A Uthman, Natalie V S Vinkeles Melchers, Francesco S Violante, Haileab Fekadu Wolde, Tewodros Eshete Wonde, Tomohide Yamada, Sanni Yaya, Vahid Yazdi-Feyzabadi, Paul Yip, Naohiro Yonemoto, Hebat-Allah Salah A Yousof, Chuanhua Yu, Yong Yu, Hasan Yusefzadeh, Leila Zaki, Sojib Bin Zaman, Maryam Zamanian, Zhi-Jiang Zhang, Yunquan Zhang, Arash Ziapour, Simon I Hay, David M Pigott

“…The ROC analysis identified a mean environmental suitability index of 0·71 as a threshold to classify based on the location with the largest mean prediction within the IU. Of the IUs considered for mapping surveys, 50·2% exceed this threshold for suitability in at least one 5 × 5-km location. …”
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Predictive Control for Steel Rib Bending Based on Deep Learning by Yijiang Xia, Jinhui Luo, Zhuolin Ou, Xin Han, Junlin Deng, Ning Wu

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Lane-Changing Trajectory Prediction Modeling Using Neural Networks by Hamidreza Hamedi, Rouzbeh Shad

“…The findings revealed that the introduced model could make precise LC predictions of vehicles under small trajectory errors and satisfactory accuracy. …”
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A Review of Traffic Congestion Prediction Using Artificial Intelligence by Mahmuda Akhtar, Sara Moridpour

“…Traffic congestion prediction, especially short-term traffic congestion prediction is made by evaluating different traffic parameters. …”
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Predicting carbon peak at the provincial level using deep learning by Xiaoyan Tang, Kunsheng Fang

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Retrosternal Percutaneous Tracheostomy: An Approach for Predictably Impossible Classic Tracheostomy by Philippe Biderman, Avi A. Weinbroum, Yael Rafaeli, Eyal Raz, Eyal Porat, Ory Wiesel, Oded Szold

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Model Predictive Control for Automatic Carrier Landing with Time Delay by Kaikai Cui, Wei Han, Yujie Liu, Xinwei Wang, Xichao Su, Jie Liu

“…This paper focuses on the problem of automatic carrier landing control with time delay, and an antidelay model predictive control (AD-MPC) scheme for carrier landing based on the symplectic pseudospectral (SP) method and a prediction error method with particle swarm optimization (PE-PSO) is designed. …”
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Machine learning in echocardiography-based prediction model of cardiovascular diseases by Zubaire Yasheng, Ruohan Zhao, Ye Zhu, Zisang Zhang, Qing Lv, Mingxing Xie, Li Zhang, Ting Gao

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POSSIBILITIES OF SELF-ORGANIZATION METHODS IN PREDICTING EMERGENCY SITUATIONS IN MINING by I. S. Bondarenko, V. V. Kupriyanov

“…The procedure of short-term forecasting of the multidimensional process of changing the average annual values of variables describing technological situations with the conveyor and lava supports in the breakage face has been adduced. Successfully predictable and non-predictable variables have been revealed. …”
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Forecasting Models for Time and Cost Performance Predicting of Infrastructural Projects by Aldhamad Saja Hadi Raheem, Maya Rana, Alazawy Suha Falih Mahdi, Alzwainy Faiq M.

“…Developing artificial forecasting models to predict the cost index and time index is the primary objective of this research. …”
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Spatial and temporal predictability drive foraging movements of coastal birds by Madeleine Foley, Kimberly A. Lato, Matthew Fuirst, Richard R. Veit, Robert M. Cerrato, Lesley H. Thorne

“…Abstract Background Temporal and spatial predictability of food resources are critical to the foraging efficiency of central place foragers. …”
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Does Caregiver Engagement Predict Outcomes of Adolescent Wilderness Therapy? by Joanna E. Bettmann, Naomi Martinez Gutierrez, Annelise Jolley, Laura Mills

“…The study also found that greater caregiver effort predicted greater mean change in adolescent mental health outcomes of wilderness therapy. …”
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Prediction Model of Drilling Performance for Percussive Rock Drilling Tool by Dae-Ji Kim, Jaewon Kim, Booyeong Lee, Min-Seok Shin, Joo-Young Oh, Jung-Woo Cho, Changheon Song

“…The pneumatic hammer model and drill bit motion model were then combined in a prediction model to determine the impact efficiency according to different rock types (i.e., soft, medium-hard, and very hard). …”
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The gem hidden behind Predictability: Discussing efficiency in and of Investment arbitration by Rajković Nataša

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A Machine Learning Approach to Predict Air Quality in California by Mauro Castelli, Fabiana Martins Clemente, Aleš Popovič, Sara Silva, Leonardo Vanneschi

“…Predicting air quality is a complex task due to the dynamic nature, volatility, and high variability in time and space of pollutants and particulates. …”
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Adaptive Attention with Consumer Sentinel for Movie Box Office Prediction by Kaicheng Feng, Xiaobing Liu

“…To improve the movie box office prediction accuracy, this paper proposes an adaptive attention with consumer sentinel (LSTM-AACS) for movie box office prediction. …”
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