Investigation of the dielectric characteristics of materials manufactured using additive technologies by S. V. Kharalgin, M. I. Voytovich

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A hybrid Framework for plant leaf disease detection and classification using convolutional neural networks and vision transformer by Sherihan Aboelenin, Foriaa Ahmed Elbasheer, Mohamed Meselhy Eltoukhy, Walaa M. El-Hady, Khalid M. Hosny

“…Abstract Recently, scientists have widely utilized Artificial Intelligence (AI) approaches in intelligent agriculture to increase the productivity of the agriculture sector and overcome a wide range of problems. …”
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A review of the structured framework for sustainability audits in manufacturing organizations by Dharmendra Hariyani, Poonam Hariyani, Sanjeev Mishra, Milind Kumar Sharma

“…The study also highlights the transformative role of digital technologies, such as real-time monitoring systems, AI-driven analytics, and blockchain, in streamlining audit processes, improving data accuracy, and fostering greater transparency. …”
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Deep Learning Models to Predict Fatal Pneumonia Using Chest X-Ray Images by Satoshi Anai, Junko Hisasue, Yoichi Takaki, Naohiko Hara

“…Deep learning is an artificial intelligence (AI) technology that has been applied to the interpretation of medical images. …”
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Integrating sustainability into cybersecurity: insights from machine learning based topic modeling by Krishnashree Achuthan, Sriram Sankaran, Swapnoneel Roy, Raghu Raman

“…These strategies advocate for an evolved approach that incorporates advanced technologies such as AI, IoT, and blockchain into resilient, sustainable cybersecurity frameworks. …”
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Antibacterial action of penicillin against Mycobacterium avium complex by D. Deshpande, G. Magombedze, S. Srivastava, T. Gumbo

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Articulatory-to-Acoustic Conversion Using BiLSTM-CNN Word-Attention-Based Method by Guofeng Ren, Guicheng Shao, Jianmei Fu

“…In the recent years, along with the development of artificial intelligence (AI) and man-machine interaction technology, speech recognition and production have been asked to adapt to the rapid development of AI and man-machine technology, which need to improve recognition accuracy through adding novel features, fusing the feature, and improving recognition methods. …”
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Apriori algorithm based prediction of students’ mental health risks in the context of artificial intelligence by You Fu, Fang Ren, Jiantao Lin

“…This study investigates the application of artificial intelligence (AI) techniques for predicting student mental health risks.MethodsA hybrid predictive model, Prophet-LSTM, was developed. …”
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The Adoption of Technology Acceptance Model in E-commerce with Artificial Intelligence as a Mediator by Aram Massoudi, Muslim N. Zaidan, Azwar Qasim Agha

“…These results offer valuable insights for online retailers looking to improve customer adoption of AI technologies. …”
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Assessment of Artificial Intelligence Models for Developing Single-Value and Loop Rating Curves by Majid Niazkar, Mohammad Zakwan

“…Unlike the black box nature of ANN, MGGP offers explicit equations for stream rating curves, which may be counted as one of the advantages of this AI model.…”
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Le foudre foudroyant et ravageant oublié de Pierre Juvernay by Sophie Longuet

“…Parmi les textes que j’ai dû mettre de côté lors de mes recherches, j’ai pensé immédiatement à celui de Pierre Juvernay, Le Foudre foudroyant et ravageant, contre les péchez mortels, Paris, Pierre Le Mur, datant de 1637. …”
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Effect of Preventive Hormonal Therapy on Breast Density: A Systematic Qualitative Review by Virginie Lienart, Birgit Carly, Xin Kang, Laura Guzy, Anna-Maria Sajovitz, Fabienne Liebens

“…However, the effect of RLX and AI on BD remains unclear due to conflicting results between studies. …”
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Introduction and studying of the species polymorphism in the almond genetic diversity preserved at Krymsk Experiment Breeding Station of VIR in the prebreeding stage by I. S. Chepinoga

“…Almonds introduced from foreign research institutions are also described.Analytical selection helped to identify complex sources of resistance to abiotic factors: ‘Victoria’ (k-42684), ‘Meteor’ (k-42683), ‘Dessertny’ (k-43550), Ai-Dere No.4 (k-42676), Ai-Dere No.5 (k-42677), Kolod 6 (k-42709), Podvoyny 205 (k-42678), ‘Tuono’ (k-49598), and Ferraduel × Tuono (k-43561). …”
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Local Hyperthermia Combined With Imiquimod Cleared Recalcitrant and Extensive Warts in a Patient With Systemic Lupus Erythematosus by Wang GH, Wang YB, Cheng YA, Chen HD, Gao XH, Qi RQ

“…Gai-Hua Wang,1,* Yang-Bin Wang,2,3,* Yue-Ai Cheng,1 Hong-Duo Chen,2,3 Xing-Hua Gao,2,3 Rui-Qun Qi2,3 1Institute of Dermatology, Taiyuan City Centre Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, People’s Republic of China; 2Department of Dermatology, the First Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of China; 3Key Laboratory of Immunodermatology, Ministry of Education and NHC; National Joint Engineering Research Center for Theranostics of Immunological Skin Diseases, Shenyang, Liaoning Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Rui-Qun Qi, Department of Dermatology, the First Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of China, Email xiaoqiliumin@163.com Yue-Ai Cheng, Institute of Dermatology, Taiyuan City Centre Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, People’s Republic of China, Email 172915043@qq.comAbstract: Viral warts, a common dermatological condition caused by human papillomavirus infection (HPV) infection, present a particular challenge for systemic lupus erythematosus (SLE) patients due to their compromised immunity, which increases the susceptibility to HPV infection and complicates treatment efforts. …”
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Optimizing Supply Chain Resilience Using Advanced Analytics and Computational Intelligence Techniques by Jie Xu, Lixing Bo

“…This paper presents a novel resilient supply chain management (SCM) structure leveraging advanced artificial intelligence (AI) techniques, specifically Long Short-Term Memory (LSTM) networks and Particle Swarm Optimization (PSO). …”
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Reabilitação oral utilizando coroas impressas em 3D para amelogênese imperfeita: relato de caso by Bruna Cordeiro Amarante, Camila Gallo Cabral, Catielma Nascimento Santos, Emerson Junio de Moraes, Ana Carolina Cheron Gentile, Marcelo Bönecker, Marcelo Munhóes Romano

“… A amelogênese imperfeita (AI) é uma condição que afeta gravemente o esmalte dentário. …”
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An early lung cancer diagnosis model for non-smokers incorporating ct imaging analysis and circulating genetically abnormal cells (CACs) by Ran Ni, Yongjie Huang, Lei Wang, Hongjie Chen, Guorui Zhang, Yali Yu, Yinglan Kuang, Yuyan Tang, Xing Lu, Hong Liu

“…All LDCT images of participants were obtained for AI analysis. AI of LDCT scans, liquid biopsy, and clinical characteristics were collected for model building. …”
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Artificial intelligence analysis of thermal energy for convectively heated ternary nanofluid flow in radiated channel considering viscous dissipations aspects by Hamid Qureshi, Amjad Ali Pasha, Muhammad Asif Zahoor Raja, Zahoor Shah, Salem Algarni, Talal Alqahtani, Waqar Azeem Khan, Moinul Haq

“…The investigations are aimed at the use of the state-of-the-art AI techniques for predicting and simulating the heat transfer processes in radiated channels as well as incorporating the effects of viscous dissipation and radiation. …”
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Buffalo genetic improvement program in Vene- zuela by José A. Aranguren-Méndez, Rafael M. Román-Bravo, Ricardo A. Briceño-Rojas, Mauricio G. Briceño-Rojas, Luis A. Pacheco-Díaz

“…Similarly, using proven bulls through Artificial Insemination (AI) for 16 years has shown average improvement values in LA, LA1, LA2, and LA3 animals of 1368.3, 1677.3, and 2083.1 kg/lactation, respectively. …”
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Glioma Image-Level and Slide-Level Gene Predictor (GLISP) for Molecular Diagnosis and Predicting Genetic Events of Adult Diffuse Glioma by Minh-Khang Le, Masataka Kawai, Kenta Masui, Takashi Komori, Takakazu Kawamata, Yoshihiro Muragaki, Tomohiro Inoue, Ippei Tahara, Kazunari Kasai, Tetsuo Kondo

“…Therefore, an artificial intelligence (AI) framework for learning histological patterns and predicting important genetic events would be useful for future studies and applications. …”
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