Clinical significance of risk factor analysis in pancreatic cancer by using supervised model of machine learning by Amir Sherchan, Feng Jin, Bhakti Sherchan, Sujit Kumar Mandal, Binit Upadhaya Regmi, Ranita Ghising, Sandesh Raj Upadhaya, Bishnu Gautam, Dipendra Pathak, Maoquan Li

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Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning by Francis Loignon-Houle, Nicolaus Kratochwil, Maxime Toussaint, Carsten Lowis, Gerard Ariño-Estrada, Antonio J. Gonzalez, Etiennette Auffray, Roger Lecomte

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Application of CUSUM analysis in assessing learning curves in robot-assisted sacrocolpopexy performed by experienced gynecologist by Kena Park, Ji Young Kwon, Eun-Hee Yoo, Seon Hwa Lee, Jeong Min Song, Seung Yeon Pyeon

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Comparative analysis of deep learning architectures for thyroid eye disease detection using facial photographs by Amirhossein Aghajani, Mohammad Taher Rajabi, Seyed Mohsen Rafizadeh, Amin Zand, Majid Rezaei, Mohammad Shojaeinia, Elham Rahmanikhah

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Dynamic Ensemble Selection for EEG Signal Classification in Distributed Data Environments by Małgorzata Przybyła-Kasperek, Jakub Sacewicz

“…Additionally, we tested a convolutional neural network specifically designed for EEG data, ensuring our results are compared against advanced deep learning methods. …”
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Comparative analysis of machine learning models for predicting water quality index in Dhaka’s rivers of Bangladesh by Mosaraf Hosan Nishat, Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, Syed Nahin Hossain, Amimul Ahsan, M. M. El-Sergany, Md. Shafiquzzaman, Monzur Alam Imteaz, Mohammad T. Alresheedi

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The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis by Lan Xu, Zian Chen, Dan Zhu, Yingjun Wang

“…The limited research on deep learning has hindered both further analysis and the development of subgroup analyses across various models. …”
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Machine Learning Strategies for Preoperative PJI Diagnosis: Integrative Analysis of Serum and Synovial Fluid Markers by Chen B, Yang Y, Zhou H, Li F, Shen Y, Cheng Q, Huang W, Qin L

“…The most suitable diagnostic markers were selected using LASSO regression, and eight machine learning (ML) models were constructed based on the selected markers. …”
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Machine learning-derived asthma and allergy trajectories in children: a systematic review and meta-analysis by Daniil Lisik, Saliha Selin Özuygur Ermis, Gregorio Paolo Milani, Giulia Carla Immacolata Spolidoro, Selin Ercan, Michael Salisu, Faozyat Odetola, Daniele Giovanni Ghiglioni, Danylo Pylov, Emma Goksör, Rani Basna, Göran Wennergren, Hannu Kankaanranta, Bright I. Nwaru

“…Methods 10 databases were searched. Screening, data extraction and quality assessment were performed in pairs. …”
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GAN-enhanced deep learning for improved Alzheimer's disease classification and longitudinal brain change analysis by Purushottam Pandey, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Surbhi Bhatia Khan, Jyoti Pruthi, Eid Albalawi, Ali Algarni, Ahlam Almusharraf

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A comparative analysis of deep learning models for assisting in the diagnosis of periapical lesions in periapical radiographs by Jian Liu, Chaoran Jin, Xiaolan Wang, Kexu Pan, Zhuoyang Li, Xinxuan Yi, Yu Shao, Xiaodong Sun, Xijiao Yu

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Machine Learning-Based Predictive Maintenance for Photovoltaic Systems by Ali Al-Humairi, Enmar Khalis, Zuhair A. Al-Hemyari, Peter Jung

“…This paper introduces an AI-based robotic cleaning system that can independently forecast and schedule cleaning sessions from real-time sensor and environmental data. Methods: The system integrates sources of data like embedded sensors, weather stations, and DustIQ data to create an integrated dataset for predictive modeling. …”
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A supervised machine-learning analysis of doxorubicin-loaded electrospun nanofibers and their anticancer activity capabilities by Mohammadreza Rostami, Mohammadreza Rostami, Maliheh Gharibshahian, Maliheh Gharibshahian, Mehrnaz Mostafavi, Ali Sufali, Mahsa Golmohammadi, Mohammad Reza Barati, Reza Maleki, Nima Beheshtizadeh, Nima Beheshtizadeh

“…This study employed a supervised machine-learning analysis to extract the influencing parameters of the input from quantitative data for doxorubicin-loaded electrospun nanofibers. …”
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Using EEG Signals and AI to Predict Neurodegenerative Diseases by Juan Li, Dongyuan Zhang, Wei Lin, Wei Liu

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Corrigendum: PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

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Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities by Yang SUN, Dawei GAO, Haoye JIANG, Wanguang DU

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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

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A real-time framework for opinion spam detection in Arabic social networks by Cherry A. Ezzat, Abdullah M. Alkadri, Abeer Elkorany

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Strategies for high performance characterization of nanomaterials using in situ liquid cell transmission electron microscopy by Honglin Lv, Wei Si, Jingjie Sha, Yunfei Chen, Yin Zhang

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Energy and water consumption monitoring system for co-owners of an apartment building by В. Сторчун, К. Мамедова

“…The developed system allows consumers to rapidly learn about emergencies in the building and track detailed statistics of consumed resources through automated data collection from resource sensors, analysis of collected data, and the use of backup notification systems. …”
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