Chaos in a System with an Absolute Nonlinearity and Chaos Synchronization by Victor Kamdoum Tamba, Karthikeyan Rajagopal, Viet-Thanh Pham, Duy Vo Hoang

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Reliability Evaluation of Distribution Power Systems Based on Artificial Neural Network Techniques by Mohammoud M. Hadow, Ahmed N. Abd Allah, Sazali P. Abdul karim

“…In order to assess the reliability of distribution systems, more and more researchers are directing their attention to the artificial intelligent method, and several reliability indices have been proposed, such as basic load point indices and system performance indices. …”
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Neuromorphic system using capacitor synapses by Reon Oshio, Takumi Kuwahara, Takeru Aoki, Mutsumi Kimura, Yasuhiko Nakashima

“…Abstract Artificial intelligences are indispensable social infrastructures, neural networks are embodiment methodologies, and neuromorphic systems are promising solutions for compact size and low energy. …”
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Watermark embedding and detection based on generative causal language model by Minglu LIU, Yan ZHENG, Xue HAN, Xiangyang YUAN, Chao DENG

“…Artificial intelligence generated content (AIGC) generated text itself carried moral and legal compliance risks, and the circulation of generated text content need to be regulated.Therefore, there was an urgent need for copyright protection of AIGC generated text.Watermarking technology was currently the most widely used method for digital copyright protection.A watermark embedding technology was proposed for generating text using generative causal language models.An in-process watermark embedding method was adopted, which implicitly embeded text watermark during the text generation process.Compared to traditional post-process watermark embedding technology, it had less impact on the quality of generated text and had advantages such as low perception, transparency, and robustness.The proposed method has low coupling with existing models and can eliminate the need to adjust the original model structure, training strategies, deployment methods, and increase the computational cost of the original generation process.Through experimental results, the proposed watermark embedding strategy has good robustness and can effectively detect text embedded watermarks even after a certain degree of editing by users.…”
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Predicting Shear Capacity of FRP-Reinforced Concrete Beams without Stirrups by Artificial Neural Networks, Gene Expression Programming, and Regression Analysis by Ghazi Bahroz Jumaa, Ali Ramadhan Yousif

“…This paper proposes three new prediction models, utilizing artificial neural networks (ANNs) and gene expression programming (GEP), as a recently developed artificial intelligent techniques, and nonlinear regression analysis (NLR) as a conventional technique. …”
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Digital Twin Hospital Buildings: An Exemplary Case Study through Continuous Lifecycle Integration by Yang Peng, Ming Zhang, Fangqiang Yu, Jinglin Xu, Shang Gao

“…Then, a DT software system with real-time visual management and artificial intelligent diagnosis modules was developed and deployed in a newly built DT control center. …”
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Political Bias in Large Language Models: A Comparative Analysis of ChatGPT-4, Perplexity, Google Gemini, and Claude by Tavishi Choudhary

“…Artificial Intelligence large language models have rapidly gained widespread adoption, sparking discussions on their societal and political impact, especially for political bias and its far-reaching consequences on society and citizens. …”
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Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

“…In this paper we present the design of an artificially intelligent system capable of emotion recognition trough facial expressions. …”
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Elucidating the potential of EGFR mutated NSCLC and identifying its multitargeted inhibitors by Anakha D. Rajeeve, Ramasamy Yamuna, P. K. Krishnan Namboori

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V's Virtual Afterlife by Jasmyn Connell, Christopher Moore, Reneé Middlemost

“…NHOPs encompass entities like brands, places, artificial intelligences, and, as we explore in this study, video game characters. …”
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Dual‐Modal Sensing Skin Adaptive to Daylight, Darkness, and Ultraviolet Light for Simultaneous Full‐Field Deformation Measurement and Mechanoluminescence Responses by Suman Timilsina, Cheol Woo Jo, Kwang Ho Lee, Kee‐Sun Sohn, Ji Sik Kim

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Use of Texture Analysis on Noncontrast MRI in Classification of Early Stage of Liver Fibrosis by Ru Zhao, Xi-Jun Gong, Ya-Qiong Ge, Hong Zhao, Long-Sheng Wang, Hong-Zhen Yu, Bin Liu

“…TA parameters were extracted from out-of-phase T1-weighted (T1W), in-phase T1W, and T2-weighted (T2W) images and calculated using Artificial Intelligent Kit (AK). Features were extracted including first-order, shape, gray-level cooccurrence matrix, gray-level run-length matrix, neighboring gray one tone difference matrix, and gray-level differential matrix. …”
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