Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder by Shubham Chaudhry, Azzedine Abdedou, Azzeddine Soulaïmani

“…The findings highlight the potential of integrating reduced-order modeling techniques with machine learning algorithms to enhance the analysis of complex AM processes. …”
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3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal by Xiaoguang Li, Xiaoguang Li, Yaqi Chu, Xuejian Wu

“…Next, the paper designs a 3DCNN network with 1D and 2D convolutional layers in series to optimize the convolutional kernel parameters and effectively learn the spatial-frequency features of the EEG. …”
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Prediction of the Reaming Torque Using Artificial Neural Network and Random Forest Algorithm: Comparative Performance Analysis by M. C. Rakshith, Raghavendra C. Kamath, G. S. Vijay

“…To overcome these issues, machine learning methods such as the Artificial Neural Network (ANN) provide reliable options. …”
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Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment by Shikha Chaganti, Vivek Singh, Alasdair Edward Gent, Rishikesan Kamaleswaran, Ali Kamen

“…We analyze the advantages and limitations of each in the context of patient clinical parameters and comorbidities. We specifically examine how the quality of the ground truth label influences the performance of the deep learning system and evaluate the effect of a consensus-based approach that incorporates both definitions. …”
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IoT-Enabled Adaptive Watering System With ARIMA-Based Soil Moisture Prediction for Smart Agriculture by Muhammad Afzal, Iftikhar Ahmed Saeed, Muhammad Noman Sohail, Mohamad Hanif Md Saad, Mahidur R. Sarker

“…This helps us monitor the soil moisture content and other parameters in real-time which will help agriculture researchers and farmers to use water according to system reports. …”
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Study of nicotine content in the aerosols of ENDS of various designs by T. A. Zaitseva, T. A. Perezhogina, S. N. Medvedeva, L. V. Kokorina

“…Currently, a unified approach to the regulation of NCP and control of the content of toxic substances in the aerosol has not been developed, which leads to the use of various modes of aerosol collection on laboratory smoking machines. The article presents the aerosol collection parameters, since there are no regulatory measures to control the safety of electronic nicotine delivery systems. …”
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Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

“…The GA-PSO optimization process, which integrates both PSO and GA to optimize the MLP model's parameters, plays a crucial role in enhancing the accuracy and scalability of the system. …”
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Optimal Semiactive Damping Control for a Nonlinear Energy Sink Used to Stabilize Milling by Zhuo Chen, Huancai Lu

“…Improving product quality of machining components has always met with problems due to the vibration of the milling machine’s spindle, which can be reduced by adding a vibration absorber. …”
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Detection of the Pigment Distribution of Stacked Matcha During Processing Based on Hyperspectral Imaging Technology by Qinghai He, Zhiyuan Liu, Xiaoli Li, Yong He, Zhi Lin

“…This paper presents the use of hyperspectral imaging technology (HSI), combined with machine learning algorithms, to detect chlorophyll a, chlorophyll b, and carotenoids in stacked matcha tea during processing. …”
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Improved food recognition using a refined ResNet50 architecture with improved fully connected layers by Pouya Bohlol, Soleiman Hosseinpour, Mahmoud Soltani Firouz

“…The recognition system was used a machine vision system and deep learning algorithms to record food consumption videos, extracting images. …”
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A Modified Failure Mode and Effects Analysis for Linear Accelerator Quality Assurance by Nicole Jessop, DClinSci, Jamie Fairfoul, MSc

“…For the modified FMEA, the higher scoring failure modes all relate to machine parameters associated with beam delivery and are important for techniques used for most patients. …”
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Finite Impulse Response Filter Design Using Fuzzy Logic-Based Diversity-Controlled Self-Adaptive Differential Evolution by K. Mohaideen Abdul Kadhar, S. Rengarajan, S. Tamilselvi, N. Karuppiah, Praveen Kumar Balachandran, A. Thamilmaran, C. Dhanamjayulu, Baseem Khan

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Reducing Defense Vulnerabilities in Federated Learning: A Neuron-Centric Approach by Eda Sena Erdol, Hakan Erdol, Beste Ustubioglu, Guzin Ulutas, Iraklis Symeonidis

“…Federated learning is a distributed machine learning approach where end users train local models with their own data and combine model updates on a reliable server to create a global model. …”
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Stabilization of Sizing of Waste Paper Containerboard during Storage by Victoria V. Gorazdova, Elena V. Dernova, Dmitriy A. Dulkin

“…As practice shows, AKD glue (alkyl ketenedimer dispersion) does not fully mature on a paper-making machine and the final sizing in paper and cardboard on the reel is not achieved. …”
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An illustration of multi-class roc analysis for predicting internet addiction among university students. by Nishat Tasnim Thity, Atikur Rahman, Adisha Dulmini, Mst Nilufar Yasmin, Rumana Rois

“…Predictions were made using different machine learning (ML) (decision tree (DT), random forest (RF), support vector machines (SVMs), and logistic regression (LR)) models. …”
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A Fault Diagnosis Model for Rotating Machinery Using VWC and MSFLA-SVM Based on Vibration Signal Analysis by Lei You, Wenjie Fan, Zongwen Li, Ying Liang, Miao Fang, Jin Wang

“…Specifically, we use the MSFLA method to optimize SVM parameters. MSFLA can avoid getting trapped into local optimum, speeding up convergence, and improving classification accuracy. …”
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Effects of knife edge angle and speed on peak force and specific energy when cutting vegetables of diverse texture by Vishal Singh, Madhusweta Das, Susanta Kumar Das

“…Cutting tool parameters such as edge-sharpness and speed of cut directly influence the shape of final samples and the required cutting force and specific energy for slicing or cutting operations. …”
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PERFORMANCE COMPARISON OF GRADIENT-BASED CONVOLUTIONAL NEURAL NETWORK OPTIMIZERS FOR FACIAL EXPRESSION RECOGNITION by Sri Nurdiati, Mohamad Khoirun Najib, Fahren Bukhari, Refi Revina, Fitra Nuvus Salsabila

“…A convolutional neural network (CNN) is one of the machine learning models that achieve excellent success in recognizing human facial expressions. …”
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Research on intelligent control system for scraper conveyor in coal mining working face by FAN Baodong, MA Kaide, CUI Weixiu, LI Zhiyuan

“…The results showed that the system could collect and analyze key parameters such as the operating status, fault information, and load of the scraper conveyor in real time. …”
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Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM by Yinuo Wang, Huanqi Zheng, Hua Wang, Yucheng Zhou

“…The multi-strategy improved black-winged kite algorithm then optimizes key parameters of the successive variational mode decomposition (SVMD) and hybrid kernel extreme learning machine (HKELM). …”
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