Open challenges for the automatic synthesis of clinical trials by Olivia Sanchez-Graillet, David M. Schmidt, Christian Kullik, Philipp Cimiano

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Automated issue assignment using topic modelling on Jira issue tracking data by Themistoklis Diamantopoulos, Nikolaos Saoulidis, Andreas Symeonidis

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Prime-number-assisted block-based neighbor discovery protocol in wireless sensor networks by Woosik Lee, Jong-Hoon Youn, Teukseob Song

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Existence of periodic traveling wave solution to the forced generalized nearly concentric Korteweg-de Vries equation by Kenneth L. Jones, Xiaogui He, Yunkai Chen

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Data-Centric Knowledge Discovery Strategy for a Safety-Critical Sensor Application by Nilamadhab Mishra, Hsien-Tsung Chang, Chung-Chih Lin

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Providing QoS for Networked Peers in Distributed Haptic Virtual Environments by Alan Marshall, Kian Meng Yap, Wai Yu

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Mathematical Model and Algorithm for Accurate Main Content Extraction From News Websites by Hamza Salem, Hadi Salloum, Manuel Mazzara

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Federated learning assisted distributed energy optimization by Yuhan Du, Nuno Mendes, Simin Rasouli, Javad Mohammadi, Pedro Moura

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Fed-CL- an atrial fibrillation prediction system using ECG signals employing federated learning mechanism by Fayez Saud Alreshidi, Mohammad Alsaffar, Rajeswari Chengoden, Naif Khalaf Alshammari

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Determination of the Mechanical Properties of Rubber by FT-NIR by Rattapol Pornprasit, Philaiwan Pornprasit, Pruet Boonma, Juggapong Natwichai

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A 7-nm-Based 5R4W High-Timing Reliability Regfile Circuit by Wanlong Zhao, Yuejun Zhang, Liang Wen, Pengjun Wang

“…Register file (Regfile), as the bottleneck circuit for processor data interaction, directly determines the computing performance of the system. To address the read/write conflict and timing error problems of register heap, this paper proposes a 5R4W high-timing reliability Regfile circuit design scheme. …”
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Action Recognition in Basketball with Inertial Measurement Unit-Supported Vest by Hamza Sonalcan, Enes Bilen, Bahar Ateş, Ahmet Çağdaş Seçkin

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Extracting Backbones from Weighted Complex Networks with Incomplete Information by Liqiang Qian, Zhan Bu, Mei Lu, Jie Cao, Zhiang Wu

“…What is more, they often suffer from the computational inefficiency—the exhaustive search of all nodes or edges is often prohibitively expensive. …”
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Structured P2P Overlay of Mobile Brokers for Realizing Publish/Subscribe Communication in VANET by Tulika Pandey, Deepak Garg, Manoj Madhava Gore

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Event-Based Clustering Architecture for Power Efficiency in Wireless Sensor Networks by Kai-Ting Yang, Wei Kuang Lai, Shu-Min Li, Yuh-Chung Lin

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Collaboration in a Virtual Reality Serious Escape Room in the Metaverse Improves Academic Performance and Learners’ Experiences by Antonia-Maria Pazakou, Stylianos Mystakidis, Ioannis Kazanidis

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A New Robust Classifier on Noise Domains: Bagging of Credal C4.5 Trees by Joaquín Abellán, Javier G. Castellano, Carlos J. Mantas

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PSFCS: Robust Emergency Communications Supporting High Mobility Based on WiMAX MMR Networks by Wen-Kang Jia, Chia-Yao Chen, Yaw-Chung Chen

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Semi-supervised tri-Adaboost algorithm for network intrusion detection by Yali Yuan, Liuwei Huo, Yachao Yuan, Zhixiao Wang

“…In addition, the chi-square method is used to reduce the dimension of feature and improve computational efficiency. We then conduct extensive numerical studies using different training and testing samples in the KDDcup99 dataset and discover the flows demonstrated that (1) high accuracy can be obtained using a training dataset which consists of a small number of labeled and a large number of unlabeled samples. (2) The algorithm proposed is reproducible and consistent over different runs. (3) The proposed algorithm outperforms other existing learning algorithms, even with only a small amount of labeled data in the training phase. (4) The proposed algorithm has a short execution time and a low false positive rate, while providing a desirable detection rate.…”
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Bayesian Hierarchical Risk Premium Modeling with Model Risk: Addressing Non-Differential Berkson Error by Minkun Kim, Marija Bezbradica, Martin Crane

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