Integer-Linear-Programing Optimization in Scalable Video Multicast with Adaptive Modulation and Coding in Wireless Networks by Dongyul Lee, Chaewoo Lee

“…The advancement in wideband wireless network supports real time services such as IPTV and live video streaming. …”
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A Novel Neural Network Framework for Automatic Modulation Classification via Hankelization-Based Signal Transformation by Jung-Hwan Kim, Jong-Ho Lee, Oh-Soon Shin, Woong-Hee Lee

“…However, many existing NN-based AMC methods employ deep or specialized network architectures, which, while effective, tend to involve substantial structural complexity. …”
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Targeted Data Augmentation for Improving Model Robustness by Mikołajczyk-Bareła Agnieszka, Ferlin Maria, Grochowski Michał

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An Expert System for Leukocyte Classification using Probabilistic Deep Feature Optimization via Distribution Estimation by Awais Muhammad, Akram Tallha, Alasiry Areej, Marzougui Mehrez, Park Jongwoon, Chang Byoungchol

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Event–Triggered Fixed–Time Resilient Control for Mobile Sensor Networks with a Sybil Attack and Input Delay by Zhou Ding, He Lei, Cao Zhigang, Zhang An, Han Xiaopeng

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Automatic modulation classification for interrupted sampling proximity detector signals using time–frequency reconstruction network and polynomial chirplet transform by Guanghua Yi, Xinhong Hao, Xiaopeng Yan, Dan Hu, Yongzhou Wang, Jian Dai

“…To tackle this, a new AMC method using the Polynomial Chirplet Transform (PCT) and a Time–Frequency Reconstruction Network (TFRNet), referred to as PCT-TFRNet, is proposed. …”
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A Practical Bearing Failure Detection Method Using a New Efficient Deep Network With the Knowledge Self-Adaptive Evolution by Mengyu Ji, Lijun Chen, Yeming Yao, Xiaoping Wang, Cheng Chang, Yunan Zhou

“…To address this issue, a practical bearing failure detection method using a new efficient deep network with the knowledge self-adaptive evolution, named autonomous compression method based on network pruning and knowledge distillation (AMC-NPKD), is proposed in this paper. …”
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A Deep Learning based Hybrid Model for Maternal Health Risk Detection and Multifaceted Emotion Analysis in Social Networks by Geethanjali R., Valarmathi A.

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Mathematical modeling of refugee population dynamics and its impact on deforestation in Tanzania: An ODE-based and neural network-enhanced approach by Joseph Kajuli, Maranya Mayengo, Ibrahim Fanuel

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Attention-Enhanced Hybrid Automatic Modulation Classification for Advanced Wireless Communication Systems: A Deep Learning-Transformer Framework by Sam Ansari, Khawla A. Alnajjar, Sohaib Majzoub, Eqab Almajali, Anwar Jarndal, Talal Bonny, Abir Hussain, Soliman Mahmoud

“…Automatic modulation classification (AMC) is essential for spectrum awareness, interference mitigation, and autonomous decision-making. …”
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STTMC: A Few-Shot Spatial Temporal Transductive Modulation Classifier by Yunhao Shi, Hua Xu, Zisen Qi, Yue Zhang, Dan Wang, Lei Jiang

“…In this paper, we present a novel few-shot AMC model named the Spatial Temporal Transductive Modulation Classifier (STTMC), which comprises two modules: a feature extraction module and a graph network module. …”
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data by Maksym A. Jopek, Krzysztof Pastuszak, Sebastian Cygert, Myron G. Best, Thomas Wurdinger, Jacek Jassem, Anna J. Zaczek, Anna Supernat

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Approaches to Addressing Service Selection Ties in Ad Hoc Mobile Cloud Computing by Ayotuyi Tosin Akinola, Matthew Olusegun Adigun

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AUGUR, a flexible and efficient optimization algorithm for identification of optimal adsorption sites by Ioannis Kouroudis, Poonam, Neel Misciasci, Felix Mayr, Leon Müller, Zhaosu Gu, Alessio Gagliardi

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Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systems by Haithem Ben Chikha, Alaa Alaerjan, Randa Jabeur

“…Abstract Automatic modulation classification (AMC) is a critical component in modern communication systems, particularly within software-defined radios, cognitive radio networks, smart grid and and distributed renewable energy systems (RESs) where adaptive and efficient signal processing is essential. …”
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Experiences of stigma and access to care among long COVID patients: a qualitative study in a multi-ethnic population in the Netherlands by Gertrude Nsorma Nyaaba, Charles Agyemang, Erik Beune, Maria Prins, Ellen Moseholm, Marie Norredam, Mikael Rostila, Brent Appelman, Marieke Torensma, Maria Ingeborg Goldschmidt, Peter Tieleman, Sara Biere-Rafi

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Reduced connection strength leads to enhancement of working memory capacity in cognitive training by Guiyang Lv, Tianyong Xu, Jinhang Li, Ping Zhu, Feiyan Chen, Dongping Yang, Guoguang He

“…Their working memory capacity is simulated based on their whole brain resting state connectivity and reservoir computing. It is found that the AMC group has higher WMC than the control group, and especially the WMC involved in the frontoparietal network (FPN), visual network (VIS) and sensorimotor network (SMN) associated with the AMC training is even higher in the AMC group. …”
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Optimising the secondary use of primary care prescribing data to improve quality of care: a qualitative analysis by Robert A Verheij, Niek Klazinga, Erica Barbazza, Lotte Ramerman, Dionne Kringos

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Fetal Akinesia/Hypokinesia and Arthrogryposis of Neuromuscular Origin: Etiologic Groups, Genetics, and Phenotypic Spectrum by Florencia Pérez‐Vidarte, Berta Estévez‐Arias, Leslie Matalonga, Delia Yubero, Anna Codina, Carlos Ortez, Julita Medina, Lidia DeSena DeCabo, Laura Carrera‐García, Jesica Expósito‐Escudero, Cristina Jou, Eduardo F. Tizzano, Andres Nascimento, Daniel Natera‐de Benito

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Arthrogryposis Multiplex Congenita: Case Report by Ayla Aktulay, Saliha Sağnıç, Özlem Moraloğlu Tekin, Yaprak Engin Üstün, Elif Gül Yapar Eyi, Leyla Mollamahmutoğlu

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