Comparative Analysis of Machine Learning Algorithms for Antenna Alignments by Mohammad Al Bataineh, Dana I. Abu Abdoun, Mahmoud Al Ahmad

“…These findings have far-reaching implications for the development of intelligent and scalable solutions in wireless communication systems.…”
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Revolutionizing Mental Health Sentiment Analysis With BERT-Fuse: A Hybrid Deep Learning Model by Md. Mithun Hossain, Sanjara, Md. Shakil Hossain, Sudipto Chaki, Md. Saifur Rahman, A. B. M. Shawkat Ali

“…Our model bridges the gap between deep learning and psychological text analysis, paving the way for future mental health assessment tools that are more intelligent and easily accessible.…”
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A PSO-CNN-LSTM Model for Seismic Facies Analysis: Methodology and Applications by Luyao Liao, Huailai Zhou, Junping Liu, Jie Zhou, Donghang Zhang, Jian Wang

“…The established intelligent waveform classification workflow validates PSO-CNN-LSTM model’s robustness and offers an efficient solution for seismic facies analysis, particularly in complex geological settings.…”
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Exploring the complex associations between community public spaces and healthy aging: an explainable analysis using catboost and SHAP by Man Zhang, Tao Shen, Ying Li, Qianqian Li, Yongqi Lou

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Rhythm training improves word-reading in children with dyslexia by Mélanie Descamps, Charline Grossard, Hugues Pellerin, Claire Lechevalier, Jean Xavier, Joana Matos, François Vonthron, Catherine Grosmaitre, Michel Habib, Bruno Falissard, David Cohen

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The Protective Role of Caring Parenting Styles in Adolescent Bullying Victimization: The Effects of Family Function and Constructive Conflict Resolution by Haoliang Zhu, Haojie Fu, Haiyan Liu, Bin Wang, Xiao Zhong

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Improved model for intrusion detection in the Internet of Things by Marina S. Amine, Fayza A. Nada, Khalid M. Hosny

“…IoT has become more efficient in processing large amounts of data in less time than before because it does not require human intervention. Recently, IoT technologies have improved intelligent systems, such as smart cities, healthcare, smart homes, and more. …”
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Spatial Perception: How Paper Art Realizes the Expansion Design of Urban Spaces by Dingwei Zhang, Xiaotong Zhang, Hongtao Zhou

“…Through the design intervention strategy, we explored the application of paper art in the design of interface, space, art creation, and cultural empowerment from visual and tactile perspectives. …”
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Game-Learning: a tangible RFID-based gamified system integrating pictophonics and reinforcement learning to accelerate early grapheme–phoneme acquisition by Cesar Guevara, Diego Bonilla-Jurado, Patricia Acosta-Vargas

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Teachers’ and Students’ Assessment of the Influence of School Rooms Acoustic Treatment on Their Performance and Wellbeing by Irena POLEWCZYK, Mikołaj JAROSZ

“…This situation (very characteristic for most of Polish schools) became the basis for the first such comprehensive acoustic treatment of the whole school building in Poland. This intervention allowed to meet PN-B-02151-4:2015-06 demands almost in every room accessible for students. …”
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Corrigendum: The value of targeted CXCR4 18F-AlF-NOTA-pentixafor PET/CT for subtyping primary aldosteronism by Yushi Peng, Fangansheng Chen, Rui Yao, Junping Lan, Yinuo Fu, Kaifeng Ye, Zhiqiang Wang, Qianxiu Zhao, Xiaowei Ji, Kang Xia, Guoqing Zhu, Kewen Zheng, Xuemei Gu, Kun Tang, Kun Tang, Kun Tang

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ECG-based heart arrhythmia classification using feature engineering and a hybrid stacked machine learning by Raiyan Jahangir, Muhammad Nazrul Islam, Md. Shofiqul Islam, Md. Motaharul Islam

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Individualized transcranial direct current stimulation combined with foot core exercise improves foot and ankle sensorimotor function and static postural control in individuals wit... by Chuyi Zhang, Songlin Xiao, Bin Shen, Zhen Xu, Jianglong Zhan, Jingjing Li, Junhong Zhou, Weijie Fu

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Acute safety, cardiovascular, perceptual and neuromuscular responses to autoregulated and non-autoregulated blood flow restriction training during elbow rehabilitation in people wi... by Daniel C. Ogrezeanu, Andrea Tur-Boned, Nicholas Rolnick, Nicholas Rolnick, Juan J. Carrasco, Juan J. Carrasco, Carlos Cruz-Montecinos, Carlos Cruz-Montecinos, Joaquín Calatayud, Santiago Bonanad, Sofía Pérez-Alenda

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A Multi-Mode Switching Energy Management Strategy Based on Travel Habits for Range-Extended Electric Vehicle by Zhenhai Gao, Guoqing Zhang, Hanwu Liu, Cheng Chang, Jingwen Dong, Rongrong He, Yu Cai

“…REEV has the advantages of high power, high efficiency and long driving range, and it is the core technology. An intelligent and efficient EMS must take into account all driving conditions to maximize power utilization while allowing the engine to work in the high-efficiency area to minimize fuel consumption. …”
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Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis by Qianqian Zhao, Yijie Li, Chunliu Zhao, Ran Dong, Jiaxin Tian, Ze Zhang, Lin Huang, Jingwen Huang, Junhai Yan, Zhitao Yang, Jiangnan Ruan, Ping Wang, Li Yu, Jieming Qu, Min Zhou

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TFDGiniXML: A Novel Explainable Machine Learning Framework for Early Detection of Cardiac Abnormalities Based on Nonlinear Time-Frequency Distribution Gini Index Features by Mohamed Aashiq, Shaiful Jahari Hashim, Fakhrul Zaman Rokhani, Marsyita Hanafi, Ahmed Faeq Hussein

“…Early detection of cardiac abnormalities is essential for timely intervention and minimizing mortalities. Automated CVD detection methods are vital, particularly in areas with limited healthcare resources. …”
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Fatigue and psychological distress in Chinese patients with hemodialysis: a moderated mediation model of cognitive decline and psychological flexibility by Zhenhua Jiang, Xiuli Qiao, Yang Li, Wenkui Sun, Hui Sun, Hui Zhang, Yue Bao, Liping Zong

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Continuous Wave-Diffuse Optical Tomography (CW-DOT) in Human Brain Mapping: A Review by Shuo Guan, Yuhang Li, Yuanyuan Gao, Yuxi Luo, Hubin Zhao, Dalin Yang, Rihui Li

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Enhancing anomaly detection and prevention in Internet of Things (IoT) using deep neural networks and blockchain based cyber security by Sathyabama A R, Jeevaa Katiravan

“…Our proposed framework employs DNNs for intelligent anomaly detection, leveraging multi-layer feature extraction and adaptive learning mechanisms. …”
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