Adaptive Learning Based Scheduling in Multichannel Protocol for Energy-Efficient Data-Gathering Wireless Sensor Networks by Kieu-Ha Phung, Bart Lemmens, Mihail Mihaylov, Lan Tran, Kris Steenhaut

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A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots by Nour AbuJabal, Mohammed Baziyad, Raouf Fareh, Brahim Brahmi, Tamer Rabie, Maamar Bettayeb

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On the problem of the korenization and ukrainization of state authorities in the 1920s–1930s (based on the materials of the North Caucasus) by E. V. Tufanov

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Multi-parameter approach to evaluate the timing of memory status after 17DD-YF primary vaccination. by Christiane Costa-Pereira, Ana Carolina Campi-Azevedo, Jordana Grazziela Coelho-Dos-Reis, Vanessa Peruhype-Magalhães, Márcio Sobreira Silva Araújo, Lis Ribeiro do Vale Antonelli, Cristina Toscano Fonseca, Jandira Aparecida Lemos, Luiz Cosme Cote Malaquias, Matheus de Souza Gomes, Laurence Rodrigues Amaral, Maria Rios, Caren Chancey, Harold Richard Persi, Jorge Marcelo Pereira, Maria de Lourdes de Sousa Maia, Marcos da Silva Freire, Reinaldo de Menezes Martins, Akira Homma, Marisol Simões, Anna Yoshida Yamamura, Roberto Henrique Guedes Farias, Alessandro Pecego Martins Romano, Carla Magda Domingues, Pedro Luiz Tauil, Pedro Fernando Costa Vasconcelos, Iramaya Rodrigues Caldas, Luiz Antônio Camacho, Andrea Teixeira-Carvalho, Olindo Assis Martins-Filho

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Persistence of Yellow fever virus outside the Amazon Basin, causing epidemics in Southeast Brazil, from 2016 to 2018. by Izabela Maurício de Rezende, Lívia Sacchetto, Érica Munhoz de Mello, Pedro Augusto Alves, Felipe Campos de Melo Iani, Talita Émile Ribeiro Adelino, Myrian Morato Duarte, Ana Luísa Furtado Cury, André Felipe Leal Bernardes, Tayrine Araújo Santos, Leonardo Soares Pereira, Maria Rita Teixeira Dutra, Dario Brock Ramalho, Benoit de Thoisy, Erna Geessien Kroon, Giliane de Souza Trindade, Betânia Paiva Drumond

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Design specifications for biomedical virtual twins in engineered adoptive cellular immunotherapies by Ulrike Weirauch, Markus Kreuz, Colin Birkenbihl, Miriam Alb, Maria Quaranta, Laurence Calzone, Sophia Orozco-Ruiz, Stefanie Binder, Luise Fischer, Solène Clavreul, Morine Maguri, Maximilian Ferle, Michael Rade, Guillaume Azarias, Jay R. Hydren, Jakub Jamarik, Daniel Schwarz, Zsolt Sebestyen, Jurgen Kuball, Georg Popp, Chloé Antoine, Manon Knockaert, Clara T. Schoeder, David Fandrei, Carmen Sanges, Vaclovas Radvilas, Nico Gagelmann, Markus Rückert, Olaf Penack, Stephan Fricke, Andreas Schmidt, Carol Ward, Carl Steinbeisser, Jean-Marc Van Gyseghem, Anna Niarakis, Laurent Garderet, Michael Hudecek, Thomas Neumuth, Uwe Platzbecker, Ulrike Köhl, Regina Demlova, Andreas Kremer, Stefan Franke, Holger Fröhlich, Maximilian Merz, Kristin Reiche, On behalf of the CERTAINTY Consortium

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Predicting postoperative neurological outcomes of degenerative cervical myelopathy based on machine learning by Shuai Zhou, Shuai Zhou, Shuai Zhou, Shuai Zhou, Zexiang Liu, Zexiang Liu, Zexiang Liu, Haoge Huang, Haoge Huang, Haoge Huang, Hanxu Xi, Xiao Fan, Xiao Fan, Xiao Fan, Yanbin Zhao, Yanbin Zhao, Yanbin Zhao, Xin Chen, Xin Chen, Xin Chen, Yinze Diao, Yinze Diao, Yinze Diao, Yu Sun, Yu Sun, Yu Sun, Hong Ji, Feifei Zhou, Feifei Zhou, Feifei Zhou

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Multiverse Analysis for Dynamic Network Models: Investigating the Influence of Plausible Alternative Modeling Choices by Björn S. Siepe, Daniel W. Heck

“…Individual-level estimates were more heterogeneous, with some decisions strongly influencing results and conclusions. …”
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The ethics of AI at the intersection of transgender identity and neurodivergence by Max Parks

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Hybrid Optimization based on Deep Learning Approach for Short-Term Load Forecast of Electricity Demand in Buildings by Charan Sekhar Makula, Ratna Dahiya

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Eco-Driving Level Evaluation Model for Electric Buses Entering and Leaving Stops by Aihong Lyu, Huiming Zhang, Yubo Shen, Yali Zhang

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Data-Driven Neural Differential Equation Model and Stochastic Dynamics for Glioma Prediction by Mohammed Salman, Sanjay Kumar Mohanty

“…Next, we estimate the parameters involved in the mathematical model by fitting them into a set of clinical data and employing a neural ordinary differential equations algorithm. Compared to baseline mechanistic tumor models, our approach reduces prediction root mean squared error to 3.37, demonstrating improved data alignment and forecasting accuracy. …”
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Advancing Gamma Knife Radiosurgery with Artificial Intelligence: A New Era of Precision and Efficacy by Kavin K. Devani, Subhas K. Konar, Vikas V. Vazhayil, Arun Thimmarayappa, Nishanth Sadashiva

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Enhancing wheat yellow rust detection through modified deep learning approach by Shant Kumar, Rohit Singh, Sudheer Kumar, Sandeep Gupta

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Detecting Fake Reviews in E-Commerce: A Case Study on Shopee Using Support Vector Machine and Random Forest by Khoirotulmuadiba Purifyregalia, Khothibul Umam, Nur Cahyo Hendro Wibowo, Maya Rini Handayani

“…This study aims to detect fake reviews on Shopee by applying a text classification approach using Random Forest and Support Vector Machine (SVM) algorithms. A dataset consisting of 3,686 Shopee product reviews was collected and underwent preprocessing steps including data cleaning, normalization, tokenization, and TF-IDF weighting. …”
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Enhancing Energy Systems and Rural Communities through a System of Systems Approach: A Comprehensive Review by Abdellatif Soussi, Enrico Zero, Alessandro Bozzi, Roberto Sacile

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Spontaneous coronary artery dissection as a marker of undifferentiated connective tissue dysplasia: a case report by Ya. B. Khovaeva, A. L. Korovin, Ya. A. Sychugov, L. V. Ermachkova, N. P. Moiseenko

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Analysis of anomalous behaviour in network systems using deep reinforcement learning with convolutional neural network architecture by Mohammad Hossein Modirrousta, Parisa Forghani Arani, Reza Kazemi, Mahdi Aliyari‐Shoorehdeli

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Current status and future prospects of the application of artificial intelligence in clinical practice by LI Xinyu, YUAN Qian, ZHU Fenglei, YANG Tao

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A comparative analysis of classical machine learning models with quantum-inspired models for predicting world surface temperature by Trilok Nath Pandey, Vishvajeet Ravalekar, Sidharth D. Nair, Sunil Kumar Pradhan

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