Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical Demonstrations by Roland Szabo

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Integrating brain-inspired computation with big-data analytics for advanced diagnostics in neuroradiology by Senthil Kumar, J. Ramprasath, V. Kalpana, Manikandan Rajagopal, Maheswaran S, Rupesh Gupta

“…By simulating human thought processes, this method speeds up clinical decision-making and improves diagnostic accuracy. …”
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A Hierarchical Parallel Computation Method for Radio Fuze Echo Signal Simulation by Chen Tanhui, Huo Lijun, Li Zhe

“…In order to improve the efficiency of radio fuze echo signal simulation processing large-scale data, a layered parallel computing method based on a distributed platform is proposed, and a radio fuze simulation platform with efficient data processing capabilities is designed. …”
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Understanding the Status of Computer Education in the State of Uttarakhand: A Case Study of Roorkee by Udit Aggarwal

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Integrating Computational Advertising with Guaranteed Display for Enhanced Performance in Wi-Fi Marketing by Bach Pham Ngoc, Linh Nguyen Duy, Bao Bui Quoc, Nhat Nguyen Hoang

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The Practical Use of Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals by Michał Przewoźniczek, Marcin Komarnicki

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COMPUTER MODEL OF AN AIRCRAFT TURBULENT FLOW OVER AND CALCULATION OF IT’S AERODYNAMIC CHARACTERISTICS by Yu. V. Yatskevich, Yu. V. Kozedub

“…Based on this model the computer system allowing to simulate aerodynamic processes around an aircraft and to calculate it’s aerodynamic characteristics was developed. …”
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A Review of Computer Vision and Deep Learning Applications in Crop Growth Management by Zhijie Cao, Shantong Sun, Xu Bao

“…In recent years, deep learning and computer vision have developed rapidly. Key areas in computer vision—such as deep learning-based image processing, object detection, and multimodal fusion—are rapidly transforming traditional agricultural practices. …”
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AN ALGORITHM OF ADAPTIVE LIFTING WAVELET TRANSFORM COMPUTATION based on prediction error diffusion by L. A. Ruiz, A. A. Boriskevich

“…The results of an algorithm modeling show that it provides near lossless compression due to processing of insignificant coefficients defined by quantization error diffusion procedure.…”
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COMPUTER MODELING OF THE SPATIAL DISTRIBUTION OF THE CRYSTALLIZING STEEL DENSITY IN THE SYSTEM «CASTING- DISCARD» by A. N. Chichko, S. G. Lihouzov, V. F. Sobolev, O. A. Sachek, T. V. Matyushinets, O. I. Chichko

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Tongue Color Analysis and Diseases Detection Based on a Computer Vision System by Abdulghafor Khudhaer Abdullah, Saleem Lateef Mohammed, Ali Al-Naji, Mohammed Sameer Alsabah

“…Quantitative diagnosis of the tongue requires some devices, including image acquisition devices such as cameras, light sources, filters, color checkers, image analysis and processing devices through the application of some algorithms or image processing and color correction software, as well as a computer. …”
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Comprehensive analysis of intervention and control studies for the computational identification of dengue biomarker genes. by Jibon Kumar Paul, Mahir Azmal, Tasnim Alam, Omar Faruk Talukder, Ajit Ghosh

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Messaging and Information in Mental Health Communication on Social Media: Computational and Quantitative Analysis by Rebecca K Ivic, Amy Ritchart, Shaheen Kanthawala, Heather J Carmack

“…Yet the limited emphasis on cognitive processing may indicate a gap in how organizations address more nuanced or complex mental health issues. …”
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An automated computational framework to construct printability maps for additively manufactured metal alloys by Sofia Sheikh, Brent Vela, Pejman Honarmandi, Peter Morcos, David Shoukr, Ibrahim Karaman, Alaa Elwany, Raymundo Arróyave

“…A printability map classifies regions in the processing space where an alloy can be printed with or without porosity defects. …”
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Afan Oromo Speech-Based Computer Command and Control: An Evaluation with Selected Commands by Kebede Teshite, Getachew Mamo, Kris Calpotura

“…The challenges of limited resources in this research study were limited to investigate speech-based commands for computers using only selected MS commands, which play a crucial role in text processing. …”
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Digital image representation by atomic functions: features for computer vision and machine learning by Viktor Makarichev, Vladimir Lukin, Sergii Kryvenko, Iryna Brysina

“…Compared to other data types, their substantial size presents challenges in terms of the efficient application of machine learning (ML) and computer vision (CV) methods. In particular, the processing of such large-scale data can be computationally intensive and time-consuming, making it difficult to deploy conventional ML and CV techniques in scenarios requiring real-time responses or in systems with limited processing resources, such as autonomous platforms. …”
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Interneuronal modulations as a functional switch for cortical computations: mechanisms and implication for disease by Yann Zerlaut, Alexandra Tzilivaki, Alexandra Tzilivaki, Alexandra Tzilivaki

“…Additionally, we explore how dysfunctions in these interneurons may disrupt the network’s ability to switch between computational modes, impacting the flexibility of cortical processing and potentially contributing to various neurodevelopmental and psychiatric disorders.…”
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Peculiarities of dynamic evaluation of globular formation outlines of the lungs with multislice computed tomography by Vladimir G. Kolmogorov, Ivan V. Molodkin, Vladimir K. Konovalov, Alexander M. Shayduk, Sergey A. Ostanin, Sergey L. Leonov, Olga V. Borisenko, Mikhail A. Fedoseyev, Julia S. Modakalova

“…To develop a methodology for assessing the GFL outlines of the dynamics of multislice computed tomography (MSCT) by selecting the optimal image processing algorithms.Materials and methods. …”
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Intelligent Computer Systems of New Generation and Complex Technology of Their Development, Application and Modernization by V. V. Golenkov, N. A. Gulyakina, V. P. Ivashenko, D. V. Shunkevich

“…The principles of implementation of hardware platform for interpretation of information processes in the semantic space – associative semantic computer – are considered.…”
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Efficient optimisation of physical reservoir computers using only a delayed input by Enrico Picco, Lina Jaurigue, Kathy Lüdge, Serge Massar

“…Abstract Reservoir computing is a machine learning algorithm for processing time dependent data which is well suited for experimental implementation. …”
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