Cleanup Sketched Drawings: Deep Learning-Based Model by Amal Ahmed Hasan Mohammed, Jiazhou Chen

“…From experimental results, it was observed that an enhanced FCNN model reported better accuracy, reducing the prediction error by 0.08 percent for simplifying the rough sketch compared to the existing methods.…”
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Cytogenomic Characterization of Giant Ring or Rod Marker Chromosome in Four Cases of Well-Differentiated and Dedifferentiated Liposarcoma by Hongyan Chai, Fang Xu, Autumn DiAdamo, Brittany Grommisch, Huanzhi Mao, Peining Li

“…The levels of amplification for oncogenes OS9, CDK4, HMGA2, NUP107, MDM2, YEATS4, and FRS2 at the core segment or other SCNAs should be characterized to facilitate pathologic correlation and prognostic prediction. Further studies for the initial cellular crisis event affecting chromosome intermingling regions for cell-type specific gene regulation may reveal the underlying mutagenesis mechanism for GR and GRM in WDLPS and DDLPS.…”
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A STUDY ON FORECASTING THE IMPACT OF COVID-19 ON EMERGENCY SERVICE IN A PUBLIC HOSPITAL by Şeyma Çelik Eroğlu, Fatma Gül Altın

“…The aim of this study is to predict the number of monthly emergency service patients for a public hospital. …”
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Safe Distance of Virus Quantitative Analysis and Simulation of the Trajectory of Pathogen-Containing Droplets in the Air Respiratory Airways by Hanwen Alvin Miao

“…Data extracted from previous experiments proceeded by other researchers discussing the visualization of sneeze ejecta and deposition features of inhaled drops were used to obtain parameters to fit the model prediction of this work. Currently, research on similar topics was mostly based on either experiments or theoretical calculations only on one specific clan of pathogen, while the novel contribution of this paper is the combination and comparison of these two distinct methodologies that can be applied to solve a general practical problem aiming to all types of viruses by considering the pathogen-containing droplets as a whole entity.…”
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A progressive damage fatigue model for unidirectional laminated composites based on finite element analysis: theory and practice by M. Hack, D. Carrella-Payan, B. Magneville, T. Naito, Y. Urushiyama, W. Yamazaki, T. Yokozeki, W. Van Paepegem

“…The intra-laminar fatigue damage model combines efficient methods with a low number of tests to identify the parameters of the stiffness degradation law, this overall procedure for fatigue life prediction is demonstrated to be cost efficient at industrial level…”
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Analysis of Influencing Factors and Mechanism of Strength of Cement-Modified Silty Sand by Weidong Jin, Zhe Wang, Yongming Ai, Chenyang Liu

“…The unconfined compressive strength of cement-modified silty sand has a good power function relationship with the comprehensive characterization parameters, and the fitting degree between the strength prediction formula and the existing research and test data exceeds 90%, which verifies the effectiveness of the comprehensive characterization parameters.…”
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Applied of Classification Technique in Data Mining For Credit Scoring by Heriyanto Heriyanto, Ika Kurniawati, Fachri Amsury, Muhammad Rizki Fahdia, Irwansyah Saputra, Nanang Ruhyana, Asrul

“…In this study, a comparison of the Naive Bayes, C4.5 and KNN algorithms was carried out which was applied to consumer data that received credit eligibility for good and bad customers. The best prediction results are nave Bayes with an accuracy of 95.95 % and an AUC of 0.974. …”
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Nonlinear Vibration Characteristics of the Involute Spline Coupling in Aeroengine with the Parallel Misalignment by Xiangzhen Xue, Qixin Huo, Jian Liu

“…The model proposed here is found to be closer to the actual working conditions, and the analysis results can provide more accurate external load conditions for the prediction of the fretting damage of the spline coupling in aeroengine.…”
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The New Avalanche-Like Stochastic Model for Parameterization of Seismicity and Its Application to the South Sakhalin Island Seismicity by M. V. Rodkin, I. N. Tikhonov

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The Effects of Breathing Behaviour on Crack Growth of a Vibrating Beam by Wenguang Liu, Mark E. Barkey

“…Therefore, it can be employed to improve the prediction precision of the crack identification and crack growth life of a cracked cantilever beam.…”
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Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach by Shah Mohammad Azam Rishad, Md Ashraful Islam, Md Shahidul Islam

“…As this study also supports engineers and researchers in devising optimized machine learning models for addressing CFRP-bonded joint challenges, the accuracy of stress prediction is improved by applying machine learning techniques to the collected data more refinedly.…”
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An Improved ARIMA-Based Traffic Anomaly Detection Algorithm for Wireless Sensor Networks by Qin Yu, Lyu Jibin, Lirui Jiang

“…Specifically, we improve the traditional time series ARIMA model to make traffic prediction and judge the traffic anomaly in a WSN. Simulated and real WSN traffic data gathered from University of North Carolina are used to carry out simulations on Matlab. …”
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Risk Assessment of the Rockburst Intensity in a Hydraulic Tunnel Using an Intuitionistic Fuzzy Sets-TOPSIS Model by Xin-Bao Gu, Qi-Hong Wu, Ying Ma

“…In total, it can provide a new route for the intensity prediction of rockburst in the future.…”
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Simulation and Modeling of Flow in a Gas Compressor by Anna Avramenko, Alexey Frolov, Jari Hämäläinen

“…The numerical simulation method in this paper can be used to predict compressor performance.…”
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Automatic Capture Processing Method of Basketball Shooting Trajectory Based on Background Elimination Technology by Hongyan Fan, Youhong Hu, Jianfeng Zhang

“…The analysis and prediction of the shooting trajectory can be used to partially correct the shooting. …”
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Evaluation of the Wind Energy Potential in the Coastal Environment of Two Enclosed Seas by Florin Onea, Alina Raileanu, Eugen Rusu

“…The work presents a comprehensive picture of the wind energy potential in the coastal environment of the Black and the Caspian Seas. 10-year of data coming from the US National Centers for Environmental Prediction was considered as the main source. This dataset was subsequently compared with both in situ and remotely sensed measurements. …”
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Energy-efficient chain-based data gathering applied to communicating concrete by Hang Wan, Michael David, William Derigent

“…Experimental results show the mean prediction error of our models is 5%. Realizing aggregation at nodes significantly reduces energy consumption and avoids hot-spot problem with homogeneous consumptions along the chain. …”
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Quality Classification of Lithium Battery in Microgrid Networks Based on Smooth Localized Complex Exponential Model by Zhelin Huang, Fangfang Yang

“…Accurate prediction of battery quality using early-cycle data is critical for battery, especially lithium battery in microgrid networks. …”
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Diffusion-limited tumour growth: Simulations and analysis by Philip Gerlee, Alexander R. A. Anderson

“…Comparison between the prediction of the stability analysis and the results from the simulations shows good agreement between theory and simulation.…”
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Sustainability models in Zone 3 manufacturing SMEs by Karla Morales, Pamela de Los Ángeles Sánchez Rosero, Christian Alberto López Valencia, Freddy Marco Armijos Arcos

“…Observation sheets were used to classify the information in the financial statements and allow understanding of their financial situation by applying the solvency prediction models, Z-Altman, Springate, Fulmer, and CA-Score. …”
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