HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things by Abdelwahed Berguiga, Ahlem Harchay, Ayman Massaoudi

“…This study presents a hybrid deep learning-based intrusion detection system for IoMT networks (HIDS-IoMT). The proposed model hybridizes the Convolutional Neural Network (CNN) for feature extraction and the Long Short Term Memory neural network (LSTM) for sequence data prediction. …”
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HIDS-RPL: A Hybrid Deep Learning-Based Intrusion Detection System for RPL in Internet of Medical Things Network by Abdelwahed Berguiga, Ahlem Harchay, Ayman Massaoudi

“…This paper proposes a hybrid Deep Learning-Based Intrusion Detection System for the RPL protocol in IoMT networks. The suggested model, designated HIDS-RPL, results from the hybridization of the Convolutional Neural Network (CNN) for feature extraction and the Long Short Term Memory neural network (LSTM), typically employed for sequence data prediction. …”
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Intelligent Sensor Software for Robust and Energy-Sustainable Decision-Making in Welding of Steel Reinforcement for Concrete by Javier Ferreiro-Cabello, Francisco Javier Martinez-de-Pison, Esteban Fraile-Garcia, Alpha Pernia-Espinoza, Jose Divasón

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Assessment of Knowledge, Attitudes, and Practices of Dental and Dental Hygiene Faculty and Students Toward Medical Marijuana: A Cross-Sectional Study by Dara Szyliowicz, Andrew Young, Yesha Golwala

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Socio‐Economic and Gender Differences in Post‐Secondary Pathways in the UK, Germany, and Australia by Wojtek Tomaszewski, Hans Dietrich, Golo Henseke, Ning Xiang, Ingrid Schoon

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Synergistic Impact of Aerobic Exercise and Resveratrol on White Adipose Tissue Browning in Obese Rats: Mechanistic Exploration and Biological Insights by Yulong Hu, Yihan Wu, Chunlong Wang, Qiguan Jin, Xianghe Chen

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The effect of athletes' training satisfaction on competitive state anxiety—a chain-mediated effect based on psychological resilience and coping strategies by Xiaomei Yu, Xiaomei Yu, Yang Yang, Bo He

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Hybrid FAHP-FTOPSIS methodology for objective football player selection and ranking by Jian Huang, Yuxin Zhang, Mengya Xu, Youyue Lv, Junxian Zhang, M. Mehdi Shafieezadeh

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Dumbbell versus cable lateral raises for lateral deltoid hypertrophy: an experimental study by Stian Larsen, Stian Larsen, Milo Wolf, Brad J. Schoenfeld, Nordis Ø. Sandberg, Andrea B. Fredriksen, Benjamin S. Kristiansen, Roland van den Tillaar, Paul A. Swinton, Hallvard N. Falch

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PEAK1 maintains tight junctions in intestinal epithelial cells and resists colitis by inhibiting autophagy-mediated ZO-1 degradation by Zaikuan Zhang, Yajun Xie, Qiying Yi, Jianing Liu, Lin Yang, Runzhi Wang, Jing Cai, Xinyi Li, Xiaosong Feng, Shixiang Yao, Zheng Pan, Magdalena Paolino, Qin Zhou

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Sleep quality and the biological stress system during an internet-based intervention for major depressive disorder by Sebastian Laufer, Johannes Bohn, Sinha Engel, Hannah Klusmann, Nadine Skoluda, Urs M. Nater, Christine Knaevelsrud, Sarah Schumacher

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Study on the risk for cerebrovascular disease among subtypes of middle-aged and elderly type 2 diabetes mellitus patients aged between 35‒74 years in Shanghai suburbs by ZHANG Chengjun, XIAO Qiu, LIU Zhenqiu, SUO Chen, ZHANG Tiejun, ZHAO Genming, JIANG Yanfeng, XU Kelin, CHEN Xingdong

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Exploring shared therapeutic targets for Alzheimer’s disease and glioblastoma using network pharmacology and protein-protein interaction approach by Sushma Pradeep, Sushma Pradeep, M. R. Sai Chakith, S. R. Sindhushree, Pruthvish Reddy, Esther Sushmitha, Madhusudan N. Purohit, Divya Suresh, Nanjunda Swamy Shivananju, Ekaterina Silina, Natalia Manturova, Victor Stupin, Shiva Prasad Kollur, Chandan Shivamallu, Raghu Ram Achar

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A Novel Research Paradigm for Sarcopenia of Limb Muscles: Lessons From the Perpetually Working Diaphragm's Anti‐Aging Mechanisms by Enhui Li, Rui Wang, Yanli Li, Xiang Zan, Shufen Wu, Yiru Yin, Xiaorong Yang, Litian Yin, Yu Zhang, Jianguo Li, Xin Zhao, Ce Zhang

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The Effects of the Carbon-to-oxygen Ratio on the Condensate Compositions around Solar-like Stars by Cody J. Shakespeare, Min Li, Shichun Huang, Zhaohuan Zhu, Jason H. Steffen

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Analyzing Digital Political Campaigning Through Machine Learning: An Exploratory Study for the Italian Campaign for European Union Parliament Election in 2024 by Paolo Sernani, Angela Cossiri, Giovanni Di Cosimo, Emanuele Frontoni

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X-Ray Polarization of the Magnetar 1E 1841−045 by Rachael Stewart, George A. Younes, Alice K. Harding, Zorawar Wadiasingh, Matthew G. Baring, Michela Negro, Tod E. Strohmayer, Wynn C. G. Ho, Mason Ng, Zaven Arzoumanian, Hoa Dinh Thi, Niccolò Di Lalla, Teruaki Enoto, Keith Gendreau, Chin-Ping Hu, Alex van Kooten, Chryssa Kouveliotou, Alexander McEwen

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Hierarchy between forelimb premotor and primary motor cortices and its manifestation in their firing patterns by Akiko Saiki-Ishikawa, Mark Agrios, Sajishnu Savya, Adam Forrest, Hannah Sroussi, Sarah Hsu, Diya Basrai, Feihong Xu, Andrew Miri

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Neural Network-Based Descent Control for Landers with Sloshing and Mass Variation: A Cascade and Adaptive PID Strategy by Angel Guillermo Ortega, Afroza Shirin

“…To improve the model’s accuracy, we have introduced time delays caused by fluid dynamics and actuator response, modeled via computational fluid dynamics (CFD). …”
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Machine Learning Analysis of Hydrological and Hydrochemical Data from the Abelar Pilot Basin in Abegondo (Coruña, Spain) by Javier Samper-Pilar, Javier Samper-Calvete, Alba Mon, Bruno Pisani, Antonio Paz-González

“…Groundwater flow from five days prior to the current date, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>Q</mi></mrow><mrow><mi>g</mi><mn>5</mn></mrow></msub></mrow></semantics></math></inline-formula>, is the most important input parameter of the TS-GPR model. …”
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