Feasibility study of coke combustion and energy exergy analysis in the De-Coke process of cracking furnaces in olefin unit by Mostafa Moshtagh, Ahmad Azari, Marziyeh Hoseinpour, Rouhollah Fatehi, Farhad Ghadyanlou, Rahim Karami, Mohammad Rasul, Mohammad Akrami

“…The energy and exergy efficiency of the combustion furnace during the cracking process stand at 44.8% and 29%, respectively, compared to 93.24% and 96.2% during the coil cracking process. …”
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Advanced Self-Driving Vehicle Model for Complex Road Navigation Using Integrated Image Processing and Sensor Fusion by Kalapraveen Bagadi, Naveen Kumar Vaegae, Visalakshi Annepu, Khaled Rabie, Shafiq Ahmad, Thokozani Shongwe

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Influence of Genetic Algorithm Parameters on Their Performance for Parameter Identification of a Yeast Fed-batch Fermentation Process Model by Maria Angelova, Tania Pencheva

“…Among the considered GA parameters, generation gap influences most significantly to SGA and MGA convergence time, saving of about 40% of computational time of the algorithms without affecting the model accuracy.…”
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Chance-constrained solar PV hosting capacity assessment for distribution grids using Gaussian Process and Logit learning by Sel Ly, Anshuman Singh, Petr Vorobev, Yeng Chai Soh, Hung Dinh Nguyen

“…Moreover, our proposed methods have simple forms and low computational costs of only a few seconds.…”
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STUDY OF THERMAL DISTRIBUTION AND CLADDING GEOMETRY DURING LASER METAL DEPOSITION PROCESS USING FINITE ELEMENT ANALYSIS by Andrei Rusu, Alexandru Bunea, Liviu Daniel Ghiculescu

“…In this process a melt pool was generated at the interaction of the laser beam with the blown powder guided through a copper nozzle. …”
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Numerical modeling of coaxial wire-powder laser directed energy deposition process in dissimilar metal additive manufacturing by Stephanie B. Lawson, Dongqing Yan, Ali Tabei, Brian K. Paul, Somayeh Pasebani

“…In this study, a CWP-DED system is simulated through the development of a computational fluid dynamics (CFD) numerical model. This model captures in-situ thermal profiling and heat transfer interactions within the process while simultaneously providing bead dimensions and weight percentages of the individual materials for wire and powder feedstocks. …”
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Target recognition in diverse synthetic aperture radar image datasets with low size weight and power processing hardware by Richard O. Lane, Wendy J. Holmes, Timothy Lamont‐Smith

“…Abstract This paper studies the performance of target detection and classification algorithms applied to synthetic aperture radar (SAR) data. We describe a process to merge measured environmental SAR scene images with target image chips to produce a large dataset for training deep learning algorithms. …”
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Energy Integration in Wastewater Treatment Plants by Anaerobic Digestion of Urban Waste: A Process Design and Simulation Study by Rocio Vicentin, Fernando Fdz-Polanco, Maria Fdz-Polanco

“…The process simulation performed in the present study aimed at investigating energetically self-sufficient wastewater treatment plant of 500,000 population equivalents. …”
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Research on privacy preservation of member inference attacks in online inference process for vertical federated learning linear model by Hongshu YIN, Xuhua ZHOU, Wenjun ZHOU

“…With the development of big data and the introduction of data security regulations, the awareness of privacy protection has gradually increased, and the phenomenon of data isolation has become more and more serious.Federated learning technology as one of the effective methods to solve this problem has become a hot spot of concern.In the online inference process of vertical federated learning, the current mainstream methods do not consider the protection of data identity, which is easy to leak user privacy.A privacy protection method for member inference attacks was proposed in the online inference process of the vertical federated linear model.A filter with a false positive rate was constructed to avoid the accurate positioning of data identity to ensure the security of data.Homomorphic encryption was used to realize the full encrypted state of the online inference process and protect the intermediate calculation results.According to the ciphertext multiplication property of homomorphic encryption, the random number multiplication method was used to mask data, which ensured the security of the final inference result.This scheme further improved the security of user privacy in the online inference process of vertical federated learning and had lower computation overhead and communication costs.…”
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Six Sigma model with implement SAPF to enhance power quality and product quality at induction heat treatment process by Minh Ly Duc, Petr Bilik, Radek Martinek

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Study on the performance of InGaN-based micro-LED by plasma etching combined with ion implantation process by Yun-Cheng Hsu, Yu-Hsuan Hsu, Chien-Chung Lin, Ming Hsien Wu, Hao Chung Kuo, Dong-Sing Wuu, Ching-Lien Hsiao, Ray-Hua Horng

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Numerical investigation on the engraving process of a pyrotechnic actuator with an improved two-phase flow model of interior ballistic by Yue Li, Cong Liu, Cheng Cheng, Genghui Jiang

“…By combining with an improved model on engraving process, a two-phase flow interior ballistic model has been proposed to accurately predict the flow and energy conversion behaviors of pyrotechnic actuators. …”
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PENGEMBANGAN SISTEM INFORMASI ADMINISTRASI PEMERIKSAAN PASIEN DI INSTALASI RADIOLOGI RSUD KAJEN DENGAN UNIFIED PROCESS by Yadanur Alim, Suhartono Suhartono, Priyo Sidik Sasongko

“…Earlier, the staff at the Radiology Installation of Kajen Regional Hospital used numbers processing application such as Microsoft Office Excel to process the data. …”
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Effect of Processing-Induced Oxides on the Fatigue Life Variability of 6082 Al-Mg-Si Alloy Extruded Components by Viththagan Vivekanandam, Shubham Sanjay Joshi, Jaime Lazaro-Nebreda, Zhongyun Fan

“…These results highlight the need for better casting control and improved post-processing techniques to minimise the effect of oxide presence in the final components, thus enhancing their fatigue life.…”
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Potential of cumin essential oil as inhibitor of deamination during ensiling process: A meta-analysis and in-silico approach by Susanto Irwan, Mahendra Fachrur R., Rahmadani Mardiah, Ridwan Roni, Jayanegara Anuraga

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Clutter-Sensing-Driven Space-Time Adaptive Processing Approach for Airborne Sub-Array-Level Digital Array by Youai Wu, Bo Jiu, Wenqiang Pu, Hao Zheng, Kang Li, Hongwei Liu

“…Sub-array-level digital arrays effectively diminish the computational complexity and sample demand of space-time adaptive processing (STAP), thus finding extensive applications in many airborne platforms. …”
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Buoyancy characteristic analysis and optimization of precast concrete slab track during casting process of self-compacting concrete by Pengsong Wang, Tao Xin, Peng Chen, Sen Wang, Di Cheng

“…Currently, the buoyancy characteristic and influencing factors of PCS during the SCC casting process have not been thoroughly studied in urban rail transit. …”
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Development of a Button Mushroom Harvesting Robot using Expert System and Image Processing in Shelf Cultivation Method by Omid Ghahraei, Majid Kheshtzarrin, Ali Saghafinia

“…This robot used image processing and a computer expert system to detect the position of mushrooms on the substrate on the shelf. …”
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CFD simulation for optimizing the evaporation process in seawater desalination using exhaust heat from AC and vortex generators by Oktarina Heriyani, Dan Mugisidi, Rifky

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A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning by Aleksander Radovan, Leo Mršić, Goran Đambić, Branko Mihaljević

“…The research explores various technologies and algorithms, like card swiping, infrared, weight and ultrasonic sensors, RFID, Wi-Fi, Bluetooth, LiDAR, thermos cameras, including CCTV cameras and traditional computer vision methods, and advanced deep learning approaches, highlighting their strengths and limitations. …”
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