Influence of secondary air on combustion process and pollutant emissions in a sludge fluidized bed incinerator by Ding Yuwei, Chen Xiaoping

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Framework for Prioritizing Solutions in Overcoming Data Quality Problems Using Analytic Hierarchy Process (AHP) by Imelda Aritonang, Achmad Nizar Hidayanto, Nur Fitriah Ayuning Budi, Rahmat M. Samik Ibrahim, Solikin Solikin

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Multimodal Control by Variable-Structure Neural Network Modeling for Coagulant Dosing in Water Purification Process by Jun Zhang, Da-Yong Luo

“…In this paper, combined with rule base, through the PCA method, an improved multimodal variable-structure random-vector neural network algorithm (MM-P-VSRVNN) is proposed for coagulant dosing, which is a key production process in water purification process. Ensuring for qualified water, how to control coagulation dosage effectively, obtain valid production cost, and increase more profits is a focus in the water treatment plan. …”
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Using system dynamics to teach about dependencies, correlation and systemic thinking on the software process workflows by German‐Lenin Dugarte‐Peña, María‐Isabel Sánchez‐Segura, Antonio deAmescua, Fuensanta Medina‐Domínguez, Stefano Armenia

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Proactive Detection of Malicious Webpages Using Hybrid Natural Language Processing and Ensemble Learning Techniques by Althaf Ali A, Rama Devi K, Syed Siraj Ahmed N, Ramchandran P, Parvathi S

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Shoreline dynamics prediction using machine learning models: from process learning to probabilistic forecasting by Afshar Adeli, Afshar Adeli, Ali Dastgheib, Ali Dastgheib, Dano Roelvink, Dano Roelvink, Dano Roelvink

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Interpretable Process Monitoring Using Data-Driven Fuzzy-Based Models for Wastewater Treatment Plants by Rodrigo Salles, Miguel Proença, Rui Araújo, Jorge S. S. Júnior, Jérôme Mendes

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Real-Time System Prediction for Heart Rate Using Deep Learning and Stream Processing Platforms by Abdullah Alharbi, Wael Alosaimi, Radhya Sahal, Hager Saleh

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Characterizing a standard cell library for large scale design of memristive based signal processing by Abubaker Sasi, Arash Ahmadi, Majid Ahmadi

“…Nevertheless, it is perfectly suitable for signal processing applications that require MATLAB functions to produce text files with hex values in order to overcome the limitations of the simulation environment. …”
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Creating a virtual device for processing the results of sorption measurements in the study of zinc oxide nanorods by E. V. Maraeva, N. V. Permiakov, Y. Y. Kedruk, L. V. Gritsenko, Kh. A. Abdullin

“…The work is devoted to the creation of a virtual device (computer program) for processing the results of sorption analysis of nanomaterials, including for estimating the size of nanoparticles based on the specific surface area. …”
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Microcavitation dynamics growth process in ternary-hybrid nanofluids near an elastic wall: An analytical investigation by Ahmed K. Abu-Nab, Ali F. Abu-Bakr, Ehab S. Selima, Adel M. Morad

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Time-frequency feature calculation of multi-stage audiovisual neural processing via electroencephalogram microstates by Yang Xi, Lu Zhang, Cunzhen Li, Xiaopeng Lv, Zhu Lan

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Application of Signal Processing Tools for Fault Diagnosis in Induction Motors-A Review-Part II by J. J. Faiz, A. M. Takbash, E. Mazaheri-Tehrani

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EEG Peak Detection in Cognitive Conflict Processing Using Summit Navigator and Clustering-Based Ranking by Tran Hiep Dinh, Avinash Kumar Singh, Nguyen Linh Trung, Diep N. Nguyen, Chin-Teng Lin

“…Compared with the state-of-the-art peak detection techniques, the proposed method shows an improvement of at least 2.67% in accuracy and 6.27% in sensitivity while requires only about 4 ms to process an epoch. The accuracy and computational efficiency of the proposed technique in the detection of PEN in cognitive conflict processing would lead to promising applications in performance improvement of brain-computer interfaces (BCIs).…”
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A Signal Processing-Guided Deep Learning Framework for Wind Shear Prediction on Airport Runways by Afaq Khattak, Pak-wai Chan, Feng Chen, Hashem Alyami, Masoud Alajmi

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BLENDED LEARNING AS TOOL OF INTENSIFICATION OF EDUCATIONAL PROCESS IN TEACHING DISCIPLINE «METHODS AND TECHNOLOGIES OF DISTANCE LEARNING» by O. Gnedkova

“…The interactions between elements of the model are established and their importance in the educational process as a whole is emphasized. The proposed model was tested during the learning process of the course "Methods and Technologies of Distance Learning" for students of Master’s degree, specialty "Computer Science" Faculty of Physics, Mathematics and Computer Science, Kherson State University.…”
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Hybrid Disassembly Line Balancing of Multi-Factory Remanufacturing Process Considering Workers with Government Benefits by Xiaoyu Niu, Xiwang Guo, Peisheng Liu, Jiacun Wang, Shujin Qin, Liang Qi, Bin Hu, Yingjun Ji

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A Review of Application of Signal Processing Techniques for Fault Diagnosis of Induction Motors – Part I by J. Faiz, A. M. Takbash, E. Mazaheri-Tehrani

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Numerical Simulation of Mixing Characteristics in the Eccentric Rotor Extruder with Different Process Conditions and Structural Parameters by De-jun Fan, Ming-kai Yang, Zhi-gao Huang, Jin-song Wen

“…Numerical simulation was performed with the computational fluid dynamics analysis software POLYFLOW to investigate the influence of different process conditions and structural parameters on mixing characteristics of the eccentric rotor extruder. …”
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Visual Detection on Aircraft Wing Icing Process Using a Lightweight Deep Learning Model by Yang Yan, Chao Tang, Jirong Huang, Zhixiong Cen, Zonghong Xie

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