Investigating factors affecting the quality of water resources by multivariate analysis and soft computing approaches by Bing Cheng, Xinyu Liu, Keke Guo, Ahmad Rastegarnia

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Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

“…In prosthodontics AI applications including machine learning deep learning and neural networks are streamlining diagnosis treatment planning and prosthesis fabrication. …”
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Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

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Development of malaria diagnosis with convolutional neural network architectures: a CNN-based software for accurate cell image analysis. by Emrah ASLAN

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Congenital cardiac surgery: Innovations from India by Debasis Das

“…Innovations in imaging, including three-dimensional printing and virtual reality, are transforming preoperative planning and surgical education. Artificial intelligence and machine learning are beginning to influence decision-making and predictive modeling in pediatric cardiac care. …”
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Genome-Wide Association Study and Genomic Prediction of Essential Agronomic Traits in Diversity Panel of Soybean Varieties by Qianli Dong, Yuting Cheng, Yiyang Li, Yan Tong, Dazhuang Liu, Jiaxin Yu, Na Zhao, Bao Liu, Xiaoyang Ding, Chunming Xu

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Prediction and optimization of Rhodamine B removal from water using metal-organic frameworks: RSM-CCD, ANN, non-linear kinetics, and isotherm studies by Simon Bbumba, John Ssekatawa, Ibrahim Karume, Emmanuel Tebandeke, Moses Kigozi, Solomon Yiga, Robert Setekera, Joseph Ssebuliba, Steven Sekitto, Ruth Mbabazi, Ivan Kiganda, Maximillian Kato, Patrick Taremwa, Moses Murungi, Chinaecherem Tochukwu Arum, Collins Yiiki Letibo, Geofrey Kaddu, Margret Namugwanya, John Kusasira, Peace Mwesigwa, Muhammad Ntale

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Artificial intelligence in decoding muscle–organ crosstalk: Unveiling myokine networks and therapeutic frontiers by Ehsan Arabzadeh, Fatemeh Khanzadeh, Arezoo Kalhor

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Predicting Suicide or Self-Harm Crises Based on Decision Tree Analysis of Life Events and Coping Style: A Population-Based Study in China by Shumeng Ma, Ping Li, Liwen Ren, Ning Jia

“…This study, based on the diathesis-stress model, utilized survey data of 12,472 Chinese high school students and employed machine learning methods to construct a decision tree model. …”
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The association of life’s essential 8 with prevalence of chronic respiratory diseases in adults: insights from NHANES 2007–2018 by Liu Fen, Li Yan, Zhao Fei, Kuai Zhong-Kai, You Ya-Yu, Hong Xiu-Qin, Wen Si-Ao, Liu Zheng-Yu, Pan Hong-Wei

“…Machine learning models identified smoking and LE8 score as the top two factors associated with CRDs. …”
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A novel stemness-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity of clear cell renal cell carcinoma by Jia Liu, Lin Yao, Yong Yang, Jinchao Ma, Ruijian You, Ziyi Yu, Peng Du

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AI-Driven Accounting and Sensing Applications for Investment Management by Foziljonov Ibrohimjon, Yuldashev Jahongir, Turgunov Jasurbek, Khujamurodov Askarjon, Rozhkova Elena

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Advanced computational methods for news classification: A study in neural networks and CNN integrated with GPT by Fahim Sufi

“…Leveraging recent advancements in machine learning and natural language processing (NLP), this study utilizes large language models (LLMs) such as GPT and BERT, known for their exceptional comprehension and generation of human-like text. …”
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LC risk score – development and evaluation of a scale for assessing the risk of developing long COVID by Mateusz Babicki, Mateusz Lejawa, Tadeusz Osadnik, Joanna Kapusta, Maciej Banach, Piotr Jankowski, Agnieszka Mastalerz-Migas, Żaneta Kałuzińska-Kołat, Damian Kołat, Michal Chudzik

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Generative Artificial Intelligence and the Evolving Challenge of Deepfake Detection: A Systematic Analysis by Reza Babaei, Samuel Cheng, Rui Duan, Shangqing Zhao

“…Deepfake technology, which employs advanced generative artificial intelligence to create hyper-realistic synthetic media, poses significant challenges across various sectors, including security, entertainment, and education. This literature review explores the evolution of deepfake generation methods, ranging from traditional techniques to state-of-the-art models such as generative adversarial networks and diffusion models. …”
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The relationship between air pollution and the occurrence of hypertensive disorders of pregnancy: Evidence from a study in Wuhan, China by Yuying Zhang, Jianfeng Liu, Min Hu, Dongyue Chai, Feng Zhang, Tailang Yin, Peng Ye, Zhixiang Fang, Yan Zhang

“…The geographic information, biological information and demographic information of the case were fused in the analysis. Machine learning methods were used to obtain the weight of the variable. …”
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Research on the Maximum Regenerative Energy Commutation Control Strategy of a Dual-Mode Synergistic Energy Recovery Pump-Controlled Grinder by Bo Yu, Gexin Chen, Keyi Liu, Guishan Yan, Yaou Zhang, Yinping Liu

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Typology and correlates of parental stress among caregivers of children with DBDs in low-resourced communities in Uganda. by Rachel Brathwaite, Natasja Magorokosho, Flavia Namuwonge, Nhial Tutlam, Torsten B Neilands, Mary M McKay, Fred M Ssewamala

“…To identify focal correlates related to child/parent/contextual environment, we performed variable importance screening using the Stata command -gvselect- and specified mixed/melogit multilevel modeling with random effects. Secondly, focal correlates were included in the cross-fit partialing out lasso linear/logistic regression (double machine-learning) model. …”
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AI-Driven Optimization of Fly Ash-Based Geopolymer Concrete for Sustainable High Strength and CO₂ Reduction: An Application of Hybrid Taguchi–Grey–ANN Approach by Muhammad Usman Siddiq, Muhammad Kashif Anwar, Faris H. Almansour, Muhammad Ahmed Qurashi, Muhammad Adeel

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Clc-db: an open-source online database of chiral ligands and catalysts by Gufeng Yu, Kaiwen Yu, Xi Wang, Chenxi Zhang, Yicong Luo, Xiaohong Huo, Yang Yang

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