Advanced Stability Analysis for Fractional-Order Chaotic DC Motors Subject to Saturation and Rate Limitations by Esmat Sadat Alaviyan Shahri, Yangquan Chen, Naser Pariz

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Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

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Advancing sustainable cities and communities with internet of things: Global insights, trends, and research priorities for SDG 11 by Shaher Zyoud, Ahed H. Zyoud

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Advanced numerical treatment of modified Burger’s equations using method of lines and cubic B-splines by Muhammad Yaseen, Irsa Ashraf, Aziz Khan, Thabet Abdeljawad

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Advancing Dynamic Emergency Route Optimization with a Composite Network Deep Reinforcement Learning Model by Jin Zhang, Hao Xu, Ding Liu, Qi Yu

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Advancing Rice Grain Impurity Segmentation with an Enhanced SegFormer and Multi-Scale Feature Integration by Xiulin Qiu, Hongzhi Yao, Qinghua Liu, Hongrui Liu, Haozhi Zhang, Mengdi Zhao

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Iterative Kneser-Type Criteria for Oscillation of Half-Linear Second-Order Advanced Dynamic Equations by Taher S. Hassan, Bassant M. El-Matary, Ioan-Lucian Popa, Mouataz Billah Mesmouli, Ismoil Odinaev, Yousef Jawarneh

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LPBSA: Pre-clinical data analysis using advanced machine learning models for disease prediction by Dana R. Hamad, Tarik A. Rashid

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A Comparative Analysis of Advanced Routing and Cluster Head Selection Algorithm Using Lagrange Interpolation by Zoren P. Mabunga, Jennifer C. Dela Cruz, Renato R. Maaliw

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Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems by Marwa M. Emam, Mosa E. Hosney, Reham R. Mostafa, Essam H. Houssein

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CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction by Linna Wang, Xinyu Guo, Haoyue Shi, Yuehang Ma, Han Bao, Lihua Jiang, Li Zhao, Ziliang Feng, Tao Zhu, Li Lu

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ENIGMA’s advanced guide for parcellation error identification (EAGLE-I): An implementation in the context of brain lesions by Evelyn Deutscher, Emily Dennis, Jake Burnett, Lyndon Firman-Sadler, Annalee L. Cobden, Michael Pink, Finian Keleher, Emma Read, Courtney McCabe, Janine Lyons, Frank G. Hillary, Elisabeth A. Wilde, Carrie Esopenko, Ekaterina Dobryakova, Andrei Irimia, Ahmed M. Radwan, Phoebe Imms, Adam Clemente, Paul Beech, Mohammadreza Mohebbi, Alex Burmester, Juan F Domínguez D, Neda Jahanshad, Sophia I. Thomopoulos, Paul M. Thompson, Karen Caeyenberghs

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Enhancing the performance of runoff prediction in data-scarce hydrological domains using advanced transfer learning by Songliang Chen, Qinglin Mao, Youcan Feng, Hongyan Li, Donghe Ma, Yilian Zhao, Junhui Liu, Hui Cheng

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Biventricular electromechanical dysfunction and molecular remodeling in a rat model of advanced pulmonary arterial hypertension by Francesco Paolo Lo Muzio, Alessia Caputo, Rosario Statello, Mirko Hu, Roberta Maestri, Giovanna Pelà, Aderville Cabassi, Margherita Burattini, Giacomo Rozzi, Silvia Berrettoni, Barbara Montanini, Stefano Rossi, Lorenzo Fassina, Giovanni Battista Luciani, Gianluigi Condorelli, Michele Miragoli

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Advancements in Predictive Maintenance: A Bibliometric Review of Diagnostic Models Using Machine Learning Techniques by Nontuthuzelo Lindokuhle Vithi, Colin Chibaya

“…This bibliometric review investigates the advancements in machine learning techniques for predictive maintenance, focusing on the use of Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) for fault detection in wheelset axle bearings. …”
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Neoantigen-based immunotherapy: advancing precision medicine in cancer and glioblastoma treatment through discovery and innovation by Moawiah M Naffaa, Ola A Al-Ewaidat, Sopiko Gogia, Valiko Begiashvili

“…The aim of this article is to explore the advances in neoantigen-based therapies, highlighting successful treatments such as vaccines, tumor-infiltrating lymphocyte (TIL) therapy, T-cell receptor-engineered T cells therapy (TCR-T), and chimeric antigen receptor T cells therapy (CAR-T), particularly in cancer types like glioblastoma (GBM). …”
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An efficient smart phone application for wheat crop diseases detection using advanced machine learning. by Awais Amir Niaz, Rehan Ashraf, Toqeer Mahmood, C M Nadeem Faisal, Muhammad Mobeen Abid

“…This study proposes an efficient application for wheat crop disease diagnosis, adaptable for both mobile devices and computer systems as the primary decision-making engine. …”
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From netrin‐1‐targeted SPECT/CT to internal radiotherapy for management of advanced solid tumors by David Kryza, Jennifer Wischhusen, Mathieu Richaud, Maëva Hervieu, Jacqueline Sidi Boumedine, Jean‐Guy Delcros, Sophie Besse, Thomas Baudier, Pierre‐Alexandre Laval, Silvia Breusa, Erwan Boutault, Hugo Clermidy, Nicolas Rama, Benjamin Ducarouge, Mojgan Devouassoux‐Shisheboran, Jean‐Michel Chezal, Anne‐Laure Giraudet, Thomas Walter, Patrick Mehlen, David Sarrut, Benjamin Gibert

“…Together, these data support the view that NP137‐111In and NP137‐177Lu may represent original and unexplored imaging and therapeutic tools against advanced solid cancers.…”
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AN OVERVIEW OF INTEGRATING THE INTERNET OF THINGS AND ADVANCED AUTOMATION TECHNOLOGIES FOR SUSTAINABLE CROP GROWTH AND MONITORING IN PRECISION AGRICULTURE by Vishwas S, Nithesh Naik, Suhas Kowshik, Shilpa Suresh

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Advancements and Challenges in Microgrid Technology: A Comprehensive Review of Control Strategies, Emerging Technologies, and Future Directions by Ark Dev, Vineet Kumar, Gaurav Khare, Jayant Giri, Mohammad Amir, Furkan Ahmad, Prince Jain, Sumant Anand

“…This paper presents a systematic literature review encompassing recent advancements in MG technology. It delves into MG architecture, diverse control objectives, associated methodologies, emerging control approaches, future challenges, and potential solutions. …”
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