Bayesian adaptation in Poisson cognitive systems by Aleksander A. Solodov

“…The advantage of the applied model is the minimum amount of a priori information about the processes occurring in the system. One assumption about the Poisson nature of the events occurring at the input of the system was sufficient.The results of a computational experiment on the adaptive estimation of a random parameter with an unknown a priori distribution are presented.In conclusion it is noted that the further development of the study can be a detailed formulation of the mathematical properties of the elements of the cognitive system mentioned in the definition, formulation, solution and interpretation of new mathematical problems of analysis and synthesis.…”
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Parallelization of Rainbow Tables Generation Using Message Passing Interface: A Study on NTLMv2, MD5, SHA-256 and SHA-512 Cryptographic Hash Functions by Mark Vainer, Arnas Kačeniauskas, Nikolaj Goranin

“…Generating these tables is computationally intensive, and several researchers have proposed utilizing parallel computing to speed up the generation process. …”
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To crop or not to crop: Comparing whole‐image and cropped classification on a large dataset of camera trap images by Tomer Gadot, Ștefan Istrate, Hyungwon Kim, Dan Morris, Sara Beery, Tanya Birch, Jorge Ahumada

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Fast Context Adaptation in Cost-Aware Continual Learning by Seyyidahmed Lahmer, Federico Mason, Federico Chiariotti, Andrea Zanella

“…However, the increased complexity of 5G and Beyond networks requires correspondingly more complex learning agents and the learning process itself might end up competing with users for communication and computational resources. …”
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Big data technology for teaching quality monitoring and improvement in higher education - joint K-means clustering algorithm and Apriori algorithm by Yang Li, Haiyu Zhang

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The application of natural language processing technology in hospital network information management systems: Potential for improving diagnostic accuracy and efficiency by Shiyong Wang, Hong Luo

“…Background: Processing scanned documents in electronic health records (EHR) was one of the problem in hospital network information management systems (HNIMS). …”
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Artificial neural networks analysis for non-newtonian nanofluid flow with variable viscosity and MHD effects in wire covering processes by Maria Altaib Badawi, Zeeshan, Nehad Ali Shah, Imed Boukhris, Adel Thaljaoui

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Microheater hotspot engineering for spatially resolved and repeatable multi-level switching in foundry-processed phase change silicon photonics by Hongyi Sun, Chuanyu Lian, Francis Vásquez-Aza, Sadra Rahimi Kari, Yi-Siou Huang, Alessandro Restelli, Steven A. Vitale, Ichiro Takeuchi, Juejun Hu, Nathan Youngblood, Georges Pavlidis, Carlos A. Ríos Ocampo

“…Our microstructure engineering concept demonstrates the evasive repeatable multi-levels employing a single microheater device, which is necessary for robust and energy-efficient reprogrammable phase change photonics in analog processing and computing.…”
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Coupling Analysis Between Ecological Environment Change and Urbanization Process in the Middle Reaches of Yangtze River Urban Agglomeration, China by Can Li, Tao Chen, Kun Jia, Antonio Plaza

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A review of design concerns in superconducting quantum circuits by Eli M Levenson-Falk, Sadman Ahmed Shanto

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Micro-Size Layers Evaluation of CIGSe Solar Cells on Flexible Substrates by Two-Segment Process Improved for Overall Efficiencies by Jiajer Ho, Da-Ming Yu, Jen-Chuan Chang, Jyh-Jier Ho

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Semi-empirical modeling of weaving process for high-quality and property of stainless steel in plasma arc directed energy deposition by Min-Kyeom Kim, Yongjian Fang, Juwon Kim, Sungho Heo, Youngseob Jang, Heesung Ahn, Yonghwi Kim, Wanki Lee, Jonghwan Suhr

“…To address this, we introduce a semi-empirical modeling approach for the weaving process using 316L austenitic stainless steel. This modeling enables the empirical determination of the printable region and the numerical alleviation of residual stress and deformation, using multi-heat sources to significantly reduce computing time by up to 76.55 %. …”
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VLSI design of symmetric two-dimensional finite impulse response filter architecture using approximate circuits and parallel Processing by Venkata Krishna Odugu, Gade Harish Babu, Janardhana Rao B, C Venkata Narasimhulu

“…This study presents an innovative filter architecture for a Two-Dimensional (2-D) FIR filter and illustrates its implementation in VLSI design through symmetric processing, parallelism, and approximate computing principles. …”
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Development of an artificial intelligence model for wire electrical discharge machining of Inconel 625 in biomedical applications by Pasupuleti Thejasree, Natarajan Manikandan, Neeraj Sunheriya, Jayant Giri, Rajkumar Chadge, T. Sathish, Ajay Kumar, Muhammad Imam Ammarullah

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A Novel Spatter Detection Algorithm for Real-Time Quality Control in Laser-Directed Energy Deposition-Based Additive Manufacturing by Farzaneh Kaji, Jinoop Arackal Narayanan, Mark Zimny, Ehsan Toyserkani

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Tell Me What You See: Text-Guided Real-World Image Denoising by Erez Yosef, Raja Giryes

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Crowdsourcing Content Guidance by Sabrina Zanello Jackson

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Artificial Intelligence Application Open Platform for Rail Transit by LIN Jun, LIU Yue, WANG Quandong, YOU Jun, DING Chi, LIU Ren

“…It builds connection between model training, edge computing and cloud-edge collaboration, and provides full-process AI application development solutions. …”
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A computational approach to the study of interactions between proteins and miR10-b, miR-335, and miR-21 involved in breast cancer by Rahma Hammou, Yassine Kasmi, Moulay Ennaji

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Retinal-ESRGAN: A Hybrid GAN Model Approach for Retinal Image Super-Resolution Coupled With Reduced Training Time and Computational Resources for Improved Diagnostic Accuracy by K. Deepthi, Aditya K. Shastry

“…Medical Image Super-Resolution has always been a subject of interest in medical image processing. However, super-resolved retinal images are a requisite tool for doctors to properly diagnose and treat ophthalmic diseases. …”
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