Integrating Machine Learning Workflow into Numerical Simulation for Optimizing Oil Recovery in Sand-Shale Sequences and Highly Heterogeneous Reservoir by Dung Bui, Abdul-Muaizz Koray, Emmanuel Appiah Kubi, Adewale Amosu, William Ampomah

“…This paper aims to evaluate the efficiency of various machine learning algorithms integrating with numerical simulations in optimizing oil production for a highly heterogeneous reservoir. …”
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Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study by Yuan Gui, Wei Hu, Jialiang Ren, Fuqiang Tang, Limei Wang, Fang Zhang, Jing Zhang

“…Finally, diagnosis models were constructed using the random forest (RF) algorithm. Additionally, the diagnostic performance of different models was evaluated using receiver operating characteristic (ROC) curves, and AUC values of different models were compared using the DeLong test. …”
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Simultaneous determination of 7 thiols associated proteins in lymphoma patients’serum and cerebrospinal fluid by UHPLC-HRMS technique by Qingkun Ma, Mei Zhang, Yongshuai Fan, Han Zhao, Kun Wang, Xiaojing Wang, Yanling Mu

“…Furthermore, a novel PCNSL monitoring model was developed based on different those combined with machine learning algorithm. …”
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Machine learning assisted estimation of total solids content of drilling fluids by B.T. Gunel, Y.D. Pak, A.Ö. Herekeli, S. Gül, B. Kulga, E. Artun

“…In the final stage, different evaluation metrics were employed to evaluate and compare the performance of different classes of machine learning models. …”
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Free-living use of artificial pancreas for children with type 1 diabetes: systematic review by Klemen Dovc, Gül Yeşiltepe Mutlu, Yury I. Philippov, Dmitry N. Laptev, Evgenia M. Patrakeeva, Lubov O. Chernilova, Alsu G. Zalevskaya, Marina V. Shestakova, Tadej Battelino

“…Only 3 RCT showed decrease of the time in range within 24 h evaluation period. In one RCT the significant positive differences have been shown in the time in range for dual hormone closed-loop glucose control system in compare with insulin-only artificial pancreas. …”
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Expeditious Dynamic Clustering in Preprocessing for High-Performance Classification by Anamika Pimpa, Narissara Eiamkanitchat

“…The accuracy of classification algorithms across different applications is significantly influenced by data preprocessing. …”
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Energy and Reserve Scheduling of Distribution Network in Presence of Electric Vehicle Aggregators: A Decentralized Approach by Atena Tazikeh Lemeski, Reza Ebrahimi, Alireza Zakariazadeh, Keyvan Firuzi

“…The proposed distributed algorithm is tested and evaluated on a standard distribution network consisting of AGG and DGs. …”
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Optimizing Metro Passenger Flow Prediction: Integrating Machine Learning and Time-Series Analysis with Multimodal Data Fusion by Li Wan, Wenzhi Cheng, Jie Yang

“…First, the STL decomposition algorithm is applied to break down the preprocessed data into trend terms, periodic terms, and irregular fluctuation terms. …”
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Using Time Clusters for Following Users’ Shifts in Rating Practices by Dionisis Margaris, Costas Vassilakis

“…Users that enter ratings for items follow different rating practices, in the sense that, when rating items, some users are more lenient, while others are stricter. …”
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Maximum Energy Absorbed from the Persian Gulf Waves Considering Uncertainty in Power Take off Parameters by Mohammad Jalali, Reihaneh Kardehi Moghaddam, Naser Pariz

“…In this scheme, to consider high uncertainty in the parameters of the power take-off system in different atmospheric conditions and improve controller performance, a new improved black hole algorithm is introduced to tune fuzzy controller parameters. …”
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Clustering OKU Timur Script Images using VGG Feature extraction and K-Means by Liu Toriko, Susan Dian Purnamasari, Yesi Novaria Kunang, Ilman Zuhri Yadi, Andri Andri

“…Features are extracted using the VGG16 model, which are then clustered with the K-Means algorithm. Clustering performance is evaluated based on the percentage of correctly grouped characters. …”
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Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations. by Sarah M Zala, Doris Reitschmidt, Anton Noll, Peter Balazs, Dustin J Penn

“…., they are composed of several different types of syllables, uttered in succession over time to form a pattern of sequences). …”
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Gas adsorption meets geometric deep learning: points, set and match by Antonios P. Sarikas, Konstantinos Gkagkas, George E. Froudakis

“…Additionally, to evaluate the transferability of the proposed framework to different host-guest systems, $$\text {CH}_{4}$$ CH 4 uptake in COFs is examined. …”
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The Accounting Procedure for Hedging Financial Schemes with Non-derivative Instruments in Accordance with IFRS by A. Yu. Kuzmin

“…These algorithms are based on the proposed mathematical methods of evaluation of financial instruments of different genesis: credit financial resources, currency financial instruments and derivatives of forward type. …”
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Optimal distributed generation placement and sizing using modified grey wolf optimization and ETAP for power system performance enhancement and protection adaptation by Nasreddine Bouchikhi, Fethi Boussadia, Riyadh Bouddou, Ayodeji Olalekan Salau, Saad Mekhilef, Chaima Gouder, Sarra Adiche, Abdallah Belabbes

“…The effectiveness of the proposed approach is evaluated by simulations performed on the IEEE 33-bus test system and a large scale 114-bus distribution network to determine its reliability for different network sizes. …”
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Secure Smart Contract Based on Blockchain to Prevent the Non-Repudiation Phenomenon by Noor Sabah Mohammed, Omar Abdulrahman Dawood, Ali Makki Sagheer, Ahmed Adil Nafea

“…The results have been investigated and evaluated from different aspects and the implementation was in a restricted environment. …”
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Regularized Fractional Power Parameters for Image Denoising Based on Convex Solution of Fractional Heat Equation by Hamid A. Jalab

“…The performances of the proposed algorithms were evaluated by computing the PSNR, using different types of images. …”
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Victimization analysis model of user network behavior based on network traffic by Shengli ZHOU, Xiaoyang XU

“…The analysis of network victimization is of great significance to the prevention and control of telecom fraud.By studying the network traffic generated by the interaction between users and websites, a victimization identification model of telecom fraud crime based on network behavior flow analysis was proposed, the association rules between different behavior characteristics were analyzed, the behavior sequence features were reconstructed, and the victimization of network behavior sequence with random forest algorithm was evaluated.Based on the network behavior data set of public security organs, the experiment proves that the model can effectively improve the recognition accuracy of network behavior victimization.…”
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Advanced driver assistance system (ADAS) and machine learning (ML): The dynamic duo revolutionizing the automotive industry by Harsh SHAH, Karan SHAH, Kushagra DARJI, Adit SHAH, Manan SHAH

“…The aim of this study was to evaluate all the methods with or without ML for each algorithm.…”
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Sensor system for acquisition of vegetation indexes by Thales M. de A. Silva, Domingos S. M. Valente, Francisco de A. de C. Pinto, Daniel M. de Queiroz, Nerilson T. Santos

“…Under the evaluation conditions, the proposed sensor system could be used to determine all vegetation indexes evaluated.…”
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