Influence of multilayered environment ON THE hydrocarbon deposits DETECTION process by E. Y. Zayats, V. F. Yanushkevich

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Advancement of Fault Diagnosis and Detection Process in Industrial Machine Environment by Altaf S., Mehmood M. S., Soomro M. W.

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Effects of Hybridizing the U-Net Neural Network in Traffic Lane Detection Process by Aron Csato, Florin Mariasiu

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Modeling of Ultrasonic Flaw Detection Processes in the Task of Searching and Visualizing Internal Defects in Assemblies and Structures by B. V. Sobol, A. N. Soloviev, P. V. Vasiliev, A. A. Lyapin

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Multi release software reliability modelling incorporating fault generation in detection process and fault dependency with change point in correction process by Sujit Kumar Pradhan, Anil Kumar, Vijay Kumar

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Measurement-induced entanglement entropy of gravitational wave detections by Preston Jones, Quentin G. Bailey, Andri Gretarsson, Edward Poon

“…Coincident multiple detector operations make it possible to consider the bipartite measurement-induced entanglement, in the detection process, as a signature of non-classicality. …”
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Quantitative study of local defects by pulsed eddy current testing by Zhaoyang Li, Liang Dong

“…Analytical formulas are derived to describe the detection process, providing a foundation for subsequent error analysis. …”
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A hybrid clustering routing protocol based on machine learning and graph theory for energy conservation and hole detection in wireless sensor network by Mohammad Z Masoud, Yousef Jaradat, Ismael Jannoud, Mustafa A Al Sibahee

“…Holes and edges detection process is performed by the sink node to reduce energy consumption of wireless sensor network nodes. …”
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Pengolahan Citra Berbasis Video Proccesing dengan Metode Frame Difference untuk Deteksi Gerak by Yovi Apridiansyah, Ardi Wijaya, Pahrizal, Rozali Toyib, Arif Setiawan

“…This method process is based on the difference between two consecutive frames in the video aimed at finding differences that occur during the detection process. When processed for detection, the absolute value in the pixel is greater than the predetermined threshold value, it will be considered as a moving object, so that the detection results from the motion detection process will form a box object on the moving object. …”
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A new Hybrid Metaheuristic Model for Image Edge Detection by Adil Khalil, Adel Abed Al Wahaab, Ahmed Abbas

“…These techniques may have the potential to provide advanced capabilities to improve the image edge detection process. A metaheuristic model such as the Bat algorithm may offer appropriate parameters for the edge detection algorithm. …”
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A cooperative intrusion detection system for internet of things using fuzzy logic and ensemble of convolutional neural networks by Xiongwei Qiu, Lianzhi Shi, Pengtong Fan

“…Abstract Intrusion detection in the Internet of Thing (IoT) faces several challenges, including scalability, attack diversity, and the need for components to cooperate in the threat detection process. Current approaches have failed to simultaneously address these challenges. …”
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Research on malicious behavior detection based on iOS system by Yuliang WANG, Xiaodong CHEN, Tun WU

“…Firstly,the cases of malicious application of multiple iOS platforms were enumerated.The main malicious behavior of mobile application under iOS platform was analyzed by dissecting the misuse of crime and the bad influence.The key technologies of malicious behavior detection process were studied.The iOS application malicious behavior detection model was put forward.Finally,iOS application malicious behavior detection solution was given.…”
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Research on malicious behavior detection based on iOS system by Yuliang WANG, Xiaodong CHEN, Tun WU

“…Firstly,the cases of malicious application of multiple iOS platforms were enumerated.The main malicious behavior of mobile application under iOS platform was analyzed by dissecting the misuse of crime and the bad influence.The key technologies of malicious behavior detection process were studied.The iOS application malicious behavior detection model was put forward.Finally,iOS application malicious behavior detection solution was given.…”
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Rapid video copy detection on compressed domain by ZHANG Yong-dong, ZHANG Dong-ming, GUO Jun-bo, TANG Sheng

“…To reduce the detection time efficiency under large scale data environment, a rapid algorithm was proposed on compressed domain using a two-level hierarchical detection scheme.The ordinal measures of DCT coefficients were adopted as visual features for similarity-matching in order to reduce the computational load in video decoding.Inverted indexing structure was used to accelerate the first level detection process.The experiment results show, compared with the previous algorithm, the algorithm can improve the detection speed obviously with the similar detection precision.…”
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Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition by Faheed A.F. Alrslani, Manal Abdullah Alohali, Mohammed Aljebreen, Hamed Alqahtani, Asma Alshuhail, Menwa Alshammeri, Wafa Sulaiman Almukadi

“…Moreover, the FDIA detection process is performed by modelling an improved deep belief network (IDBN) model. …”
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IMAGE SEGMENTATION FOR INDUSTRIAL QUALITY INSPECTION by Catalin Gh. AMZA, Gheorghe AMZA, Diana POPESCU

“…The contaminant detection process of an industrial product is an important stage of a modern production factory. …”
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Effect of Laser Distance Measurement for Fatigue Crack Detection on Aluminium Plate Using Laser Doppler Vibro-Meter by Tino Hermanto, Arya Rudi Nasution, Habib Satria, Hermansyah Hermasnyah, Yopan Rahmad Aldori, Ruztamreen Bin Jenal, Abd Rahman Bin Dullah, Adly Zulqarnain bin Mohamad

“…The analyzed data shows that measuring the laser distance will influence the crack detection process. …”
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Empowering Retail Through Advanced Consumer Product Recognition Using Aquila Optimization Algorithm With Deep Learning by Mohammed Alghamdi, Hanan Abdullah Mengash, Mohammed Aljebreen, Mohammed Maray, Abdulbasit A. Darem, Ahmed S. Salama

“…To boost the complete product detection process, the ACPR-AOADL technique involves AOA based hyperparameter selection process. …”
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Shot boundary detection algorithm based on ORB by Jiang-qi TANG, Lin-jiang XIE, Qing-sheng YUAN, Dong-ming ZHANG, Xiu-guo BAO, Wei Guo

“…An SBD algorithm based on ORB was proposed in order to effectively deal with these changes, in which shot boundary was located by computing the matching degree of ORB descriptor between adjacent images. In the detection process, the matching number and matching rate of the feature points were used to describe the characteristics of shot boundary, and the similarity degree curve was used to represent the relationship between image frames. …”
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Parallel Network Control Method on Auxiliary Power Supply System of Subway Train by Junjun SONG, Miaomiao DU, Wenyong GUO, Rushi LI, Hongxing ZHANG

“…Aiming at the advantages and disadvantages of two kinds of power supply modes, i.e. extended power supply and grid power supply, the grid power supply mode was introduces, and the time-sharing start control algorithm of grid power supply of auxiliary converter, the control method of medium voltage contactor and the short circuit detection process were analyzed in detail.The application of the control algorithm in a metro train was stable, which indicated that the development of medium voltage AC grid power supply technology has been basically mature.…”
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