A New User Authentication Protocol for Wireless Sensor Networks Using Elliptic Curves Cryptography by Wenbo Shi, Peng Gong

“…User authentication in wireless sensor networks (WSNs) is a critical security issue due to their unattended and hostile deployment in the field. …”
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Economic evaluation framework for Industrial Symbiosis through network lenses: a systematic literature review by Maurizio Cisi, Roberta Napoli

“…This research contributes to the broad comprehension of economic benefits, bolstering sustainable practices and network business models adoption. …”
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Soft Computing-Based Congestion Control Schemes in Wireless Sensor Networks: Research Issues and Challenges by Shoorangiz Shams Shamsabad Farahani

“…Congestion is of paramount importance in WSNs. It badly affects channel quality, loss rate, link utilization, throughput, network life time, traffic flow, the number of retransmissions, energy, and delay. …”
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In the Arena of the Content War: A Social Network Analysis Approach for Content Differentiation in VOD Platforms by Ali Noroozian, Babak Amiri, Samira Ramezani

“…Using these keywords, we generated a network using Social Network Analysis. By examining the network, we identified content gaps. …”
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MAC Protocol in Wireless Body Area Network for Mobile Health: A Survey and an Architecture Design by Xin Qi, Kun Wang, AnPeng Huang, Haifeng Hu, Guangjie Han

“…Wireless body area networks (WBANs) have become a leading solution in mobile health (mHealth). …”
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How safety value is exchanged in Chinese modern megaprojects: A stakeholder value network perspective by Shuang Dong, Yan Zhao, Heng Li, Jiayi Qu

“…To visualize and quantify these exchanges among primary stakeholders in megaprojects, this study introduces network stakeholder value network as the core methodology. …”
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Advanced computational methods for news classification: A study in neural networks and CNN integrated with GPT by Fahim Sufi

“…In an era inundated with vast amounts of information, the imperative for efficient news classification is paramount. This research explores the sophisticated integration of neural networks and convolutional neural networks (CNN) with Generative Pre-trained Transformers (GPT) to enhance the precision and efficacy of news categorization. …”
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MNeuralTab: Integrating meta-modeling and neural networks for customer churn prediction in e-commerce by Arif Mohammad Asfe, Md. Rashadur Rahman, Md. Sabir Hossain

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Promoting accessibility for sustainable tourism: a spatial analysis of tourist attractions and public transportation networks in Bangkok by Pawinee Iamtrakul, Sararad Chayphong, Ducksu Seo, Tu Anh Trinh

“…Within this domain, transportation systems are of paramount importance, facilitating connectivity between tourist attractions and shaping destination preferences. …”
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The neural basis underlying the association between parents’ socioeconomic status and depressive symptoms among college students by Yao Xiao, Xinting Jiang, Yuan Li, Yu Mao, Duyi Zhou

“…Furthermore, a FC pattern that can significantly predict depressive symptoms outside of the body was identified (r  = 0.13, p < 0.005), with most of the FCs belonging to the default mode network (DMN) and ventral attention network (VAN). …”
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Large sparse aperture telescope wavefront sensing and control via pretrained neural network with attention module by Yuchen Li, Chao Qin, Qichang An, Zhenbang Xu

“…Abstract The ability to detect pistons with high accuracy over a wide range is paramount to the co-phasing of sparse aperture optical systems. …”
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Thermal-Hydraulic Network Model for steady-state thermal analysis and design of power transformer magnetic cores by L.H. Medeiros, M.M. Oliveira, C.E.G. Falcão, V.C. Bender, T.B. Marchesan

“…The inclusion of the transformer’s magnetic core in thermal modeling is of paramount importance due to its significant impact on the overall thermal performance and reliability of the transformer. …”
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A dual input dual spliced network with data augmentation for robust modulation recognition in communication countermeasures by Wang Guan

“…Abstract In the realm of communication reconnaissance, the accuracy of modulation recognition is of paramount importance. The modulation recognition task mainly encompasses two key aspects: the dataset and the network model. …”
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A Lightweight Multi-Scale Context Detail Network for Efficient Target Detection in Resource-Constrained Environments by Kaipeng Wang, Guanglin He, Xinmin Li

“…To meet these challenges, we propose MSCDNet (Multi-Scale Context Detail Network), an innovative and lightweight architecture designed specifically for efficient target detection in such environments. …”
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A Social-Network-Based Crowd Selection Approach for Crowdsourcing Mobile Apps Requirements Engineering Tasks by Ghadah Alamer, Sultan Alyahya, Hmood Al-Dossari

“…Therefore, it is of paramount importance to hear from the interested audience about their desires and requirements in mobile apps. …”
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Patient-specific gene co-expression networks reveal novel subtypes and predictive biomarkers in lung adenocarcinoma by Patricio López-Sánchez, Federico Ávila-Moreno, Enrique Hernández-Lemus, Marieke L. Kuijjer, Jesús Espinal-Enríquez

“…The use of genome-wide gene co-expression networks (GCNs) has been paramount to describe changes in the transcriptional regulatory programs found between diseased and healthy states of LUAD. …”
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Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data by Subhajit Chatterjee, Yung-Cheol Byun

“…This paper introduces an innovative approach employing Generative Adversarial Networks (GAN) for synthetic fault data generation to address these challenges effectively. …”
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Infrared thermography based fault diagnosis of diesel engines using convolutional neural network and image enhancement by Wang Rongcai, Yan Hao, Dong Enzhi, Cheng Zhonghua, Li Yuan, Jia Xisheng

“…Strengthening the condition monitoring and fault diagnosis of diesel engines is of paramount importance in ensuring the smooth operation of production systems. …”
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Multi‐omics graph convolutional networks for digestive system tumour classification and early‐late stage diagnosis by Lin Zhou, Zhengzhi Zhu, Hongbo Gao, Chunyu Wang, Muhammad Attique Khan, Mati Ullah, Siffat Ullah Khan

“…The accurate diagnosis of DST is paramount for vigilant patient monitoring and the judicious selection of optimal treatments. …”
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Accurate Multiclass NLOS Channels Identification in UWB Indoor Positioning System-Based Deep Neural Network by Ammar Fahem Majeed, Rashidah Arsat, Muhammad Ariff Baharudin, Nurul Mu'Azzah Abdul Latiff, Abbas Albaidhani

“…The accurate distinction between line-of-sight (LOS) and non-line-of-sight (NLOS) propagation channels is paramount for precise distance measurement within ultra-wideband (UWB) indoor localization systems. …”
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