In vivo evidence for cell body loss in cortical lesions in people with multiple sclerosis by Eva A. Krijnen, Hansol Lee, Samantha Noteboom, Florence L. Chiang, Martijn D. Steenwijk, Menno M. Schoonheim, Eric C. Klawiter, Susie Y. Huang

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Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types by Jeanne Shen, Sergio Pereira, Chan-Young Ock, Yung-Jue Bang, Seulki Kim, Sehhoon Park, Se-Hoon Lee, George A Fisher, Young Kwang Chae, Yoon-La Choi, Jin-Haeng Chung, Tony S K Mok, Leeseul Kim, Jun-Eul Hwang, Gahee Park, Sanghoon Song, Seunghwan Shin, Yoojoo Lim, Wonkyung Jung, Heon Song, Hyojin Kim, Taebum Lee, Sukjun Kim, Chang Ho Ahn, Seokhwi Kim, Ben W Dulken, Stephanie Bogdan, Maggie Huang, Chiyoon Oum, Siraj M. Ali

“…Here, we investigate artificial intelligence (AI)-based immune phenotypes capable of predicting ICI clinical outcomes in multiple solid tumor types.Methods Lunit SCOPE IO is a deep learning model which determines the immune phenotype of the tumor microenvironment based on TIL analysis. …”
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Learning transactions representations for information management in banks: Mastering local, global, and external knowledge by Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey Savchenko, Alexey Zaytsev

“…In today’s world, banks use artificial intelligence to optimize diverse business processes, aiming to improve customer experience. …”
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Oriented R-CNN With Disentangled Representations for Product Packaging Detection by Jiangyi Pan, Jianjun Yang, Yinhao Liu, Yijie Lv

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Assessing the Impact of Covid19-Pandemic on the Household Income in Kamuganguzi Sub-County Kabale District. by Arinda, Redeemer Present

“…Innovative approaches, such as using artificial intelligence in high-risk/high-traffic sites to enhance COVID-19 detection efficiency while protecting medical staff and the general public from cross-infections, should be considered. …”
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A generic self-learning emotional framework for machines by Alberto Hernández-Marcos, Eduardo Ros

“…As a result, they often rely on case-specific solutions and arbitrary or hard-coded models that fail to generalize well to other agents and tasks. Here we propose that emotions correspond to distinct temporal patterns perceived in crucial values for living beings in their environment (like recent rewards, expected future rewards or anticipated world states) and introduce a fully self-learning emotional framework for Artificial Intelligence agents convincingly associating them with documented natural emotions. …”
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Comparative use of different AI methods for the prediction of concrete compressive strength by Mouhamadou Amar

“…The simulations used artificial neural networks or deep learning, generalized linear, decision tree, random forest, support vector machine, and gradient-boosted tree models to predict the compressive strength of 8 concrete mix designs containing different SCMs. …”
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On Class Difference in Educational Aspirations and Educational Expectations: A CUCDS-Based Social Analysis by Bohan Yan, Ning Cai

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Research Developments in Generative Adversarial Networks for Image Restoration and Communication by Zhou Peng

“…Generative Adversarial Networks (GAN) is always a popular study topic in artificial intelligence. This paper will analyze the principle of the GAN and introduce the development of the GAN and various derivative models. …”
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Review of Challenges in Performing Real-World Evidence Studies for Nonprescription Products by Maihöfner C, Mallick-Searle T, Vollert J, Kalita P, Sood Sethi V

“…Novel approaches using smartphone apps and artificial intelligence may provide new opportunities to collect RWE for nonprescription products, but these areas of research are in their infancy. …”
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Underwater Incomplete Target Recognition Network via Generating Feature Module by Qi Shen, Jishen Jia, Lei Cai

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Advancing arabic dialect detection with hybrid stacked transformer models by Hager Saleh, Hager Saleh, Hager Saleh, Abdulaziz AlMohimeed, Rasha Hassan, Mandour M. Ibrahim, Saeed Hamood Alsamhi, Moatamad Refaat Hassan, Sherif Mostafa

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Object detection and tracking in video sequences: formalization, metrics and results by R. P. Bohush, S. V. Ablameyko

“…One of the promising areas of development and implementation of artificial intelligence is the automatic detection and tracking of moving objects in video sequence. …”
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Formation of Ethical Competences for AI Use in English Foreign Language Teachings by Clara Abisheva, Zina Koldasbaeva, Nazym Nossiyeva, Nazilya Irgebaeva, Аinash Aipova, Saule Doldinova, Samat Smoilov, Ryskeldy Aykenova, Lyazzat Umirzakova, Mapruza Idrissova

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The Recent Technologies to Curb the Second-Wave of COVID-19 Pandemic by M. Poongodi, Mohit Malviya, Mounir Hamdi, Hafiz Tayyab Rauf, Seifedine Kadry, Orawit Thinnukool

“…In this study, futuristic and emerging innovations are analyzed, improving COVID-19 effects for the general public. Large data sets need to be advanced so that extensive models related to deep analysis can be used to combat Coronavirus infection, which can be done by applying Artificial intelligence techniques such as Natural Language Processing (NLP), Machine Learning (ML), and Computer vision to varying processing files. …”
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Forensic Support of Pre-Trial Investigative and Inquiry Agencies’ Activities on Combating Crime by O. O. Yukhno

“…It has been stated that today’s theoretical and applied problems of criminalistics are subject to careful study, it is necessary to introduce radical changes in general and in some areas, which requires its consolidation in the current legislation, with further reform of law enforcement agencies, expert institutions, prosecutor’s office and courts, as well as in law enforcement activity, which introduces modern advances of science and technology, including artificial intelligence and modern advances in chemistry, including molecular one, as well as physics, cybernetics, technologies for the manufacture of new metals, their alloys and innovation in other areas of knowledge. …”
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Bilateral lower limb symmetry during sit-to-stand and stand-to-sit tasks in stroke patients with hemiplegia by Meijin Hou, Meijin Hou, Jian He, Dongwei Liu, Chenyi Guo, Ye Ma, Xiaobo Luo

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Prediction of Future Terrorist Activities Using Deep Neural Networks by M. Irfan Uddin, Nazir Zada, Furqan Aziz, Yousaf Saeed, Asim Zeb, Syed Atif Ali Shah, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud

“…Different techniques have been used as counterterrorism to protect the lives of individuals in society and to improve the quality of life in general. Machine learning methods have been recently explored to develop techniques for counterterrorism based on artificial intelligence (AI). …”
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Transdisciplinary role of physical and mathematical disciplines in modern natural science and engineering education by V. A. Testov, E. A. Perminov

“…As a result of the transdisciplinary trend in science, such scientific fields as cybernetics, general systems theory, catastrophe theory, synergetics, artificial intelligence, big data, etc. have emerged. …”
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An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification by Aijaz Ahmad Reshi, Furqan Rustam, Arif Mehmood, Abdulaziz Alhossan, Ziyad Alrabiah, Ajaz Ahmad, Hessa Alsuwailem, Gyu Sang Choi

“…Artificial intelligence (AI) techniques in general and convolutional neural networks (CNNs) in particular have attained successful results in medical image analysis and classification. …”
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