Comprehensive study of side-channel attack on emerging non-volatile memories by Khan, Mohammad Nasim Imtiaz, Bhasin Shivam, Liu, Bo, Yuan, Alex, Chattopadhyay Anupam, Ghosh, Swaroop

“…Emerging Non-Volatile Memories (NVMs) such as Magnetic RAM (MRAM), Spin-Transfer Torque RAM (STTRAM), Phase Change Memory (PCM) and Resistive RAM (RRAM) are very promising due to their low (static) power operation, high scalability and high performance. …”
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Co-design of out-of-distribution detectors for autonomous emergency braking systems by Yuhas, Michael, Easwaran, Arvind

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Estimating horizontal movement performance of patient beds and the impact on emergency evacuation time by Kwak, Jaeyoung, Lees, Michael H., Cai, Wentong, Pourghaderi, Ahmad Reza, Ong, Marcus E. H.

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Contention minimization in emerging SMART NoC via direct and indirect routes by Chen, Peng, Chen, Hui, Zhou, Jun, Li, Mengquan, Liu, Weichen, Xiao, Chunhua, Xie, Yiyuan, Guan, Nan

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A novel method of emergency situation detection for a brain-controlled vehicle by combining EEG signals with surrounding information by Bi, Luzheng, Wang, Huikang, Teng, Teng, Guan, Cuntai

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Extensible steganalysis via continual learning by Zhou, Zhili, Yin, Zihao, Meng, Ruohan, Peng, Fei

“…Experimental results demonstrate the proposed scheme has promising extensibility for new emerging steganographic algorithms.…”
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Attack mitigation of hardware trojans for thermal sensing via micro-ring resonator in optical NoCs by Zhou, Jun, Li, Mengquan, Guo, Pengxing, Liu, Weichen

“…As an emerging role in new-generation on-chip communication, optical networks-on-chip (ONoCs) provide ultra-high bandwidth, low latency and low power dissipation for data transfers. …”
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Challenges and countermeasures for adversarial attacks on deep reinforcement learning by Ilahi, Inaam, Usama, Muhammad, Qadir, Junaid, Janjua, Muhammad Umar, Al-Fuqaha, Ala, Hoang, Dinh Thai, Niyato, Dusit

“…We first review the fundamental background on DRL and present emerging adversarial attacks on machine learning techniques. …”
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Graph Querying Meets HCI: State of the Art and Future Directions by Choi, Byron, Li, Chengkai, Bhowmick, Sourav Saha

“…Querying graph databases has emerged as an important research problem for real-world applications that center on large graph data. …”
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Survey on digital sovereignty and identity: from digitization to digitalization by Tan, Kheng Leong, Ch,i Chi-Hung, Lam, Kwok-Yan

“…This results in the emerging Web 3.0, where people demand data sovereignty. …”
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Graph convolutional network with self-attention pooling for the prediction of neutralizing paratope sequences of SARS-CoV2 antibodies by Rashid, Shamima, Ng, Shaun Yue Hao, Ng, Teng Ann, Kwoh, Chee Keong

“…Graph neural networks have emerged as promising architectures in several aspects of health and molecular medicine, such as in adaptve graph relatons for antbody predicton, [1] models of drug-target interactons [2] and to aggregate spatally related cellular data [3]. …”
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Building more explainable artificial intelligence with argumentation by Zeng, Zhiwei, Miao, Chunyan, Leung, Cyril, Chin, Jing Jih

“…However, in order for humans to understand, trust and effectively manage the emerging AI systems, an AI needs to be able to explain its decisions and conclusions. …”
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Will your paper get promoted by a citation? A case study of citation promoter in computer science discipline by Luo, Feiheng, Sun, Aixin, Raamkumar, Aravind Sesagiri, Erdt, Mojisola, Theng, Yin-Leng

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Reducing parameter value uncertainty in discrete Bayesian network learning: a semantic fuzzy Bayesian approach by Das, Monidipa, Ghosh, Soumya K.

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A dynamic edge caching framework for mobile 5G networks by Hoang, Dinh Thai, Niyato, Dusit, Nguyen, Diep N., Dutkiewicz, Eryk, Wang, Ping, Han, Zhu

“…Mobile edge caching has emerged as a new paradigm to provide computing, networking resources, and storage for a variety of mobile applications. …”
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Transfer learning for wireless networks: a comprehensive survey by Nguyen, Cong T., Van Huynh, Nguyen, Chu, Nam H., Saputra, Yuris Mulya, Hoang, Dinh Thai, Nguyen, Diep N., Pham, Quoc-Viet, Niyato, Dusit, Dutkiewicz, Eryk, Hwang, Won-Joo

“…To address these problems, transfer learning (TL) has recently emerged to be a promising solution. The core idea of TL is to leverage and synthesize distilled knowledge from similar tasks and valuable experiences accumulated from the past to facilitate the learning of new problems. …”
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How connected are our conference review boards? by Bhowmick, Sourav S.

“…We advocate to rethink the traditional way review boards are formed to mitigate the emergence of dense networks.…”
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Guest editorial: Rate splitting for future wireless networks by Clerckx, Bruno, Mao, Yijie, Jorswieck, Eduard A., Yuan, Jinhong, Love, David J., Erkip, Elza, Niyato, Dusit

“…Rate splitting (RS) and rate splitting multiple access (RSMA) have emerged as a promising and powerful multiple access, interference management, and multi-user strategy for next-generation wireless systems and networks. …”
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The Bitlet model: a parameterized analytical model to compare PIM and CPU systems by Ronen, Ronny, Eliahu, Adi, Leitersdorf, Orian, Peled, Natan, Korgaonkar, Kunal, Chattopadhyay, Anupam, Perach, Ben, Kvatinsky, Shahar

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pFedKT: personalized federated learning with dual knowledge transfer by Yi, Liping, Shi, Xiaorong, Wang, Nan, Wang, Gang, Liu, Xiaoguang, Shi, Zhuan, Yu, Han

“…Federated learning (FL) has been widely studied as an emerging privacy-preserving machine learning paradigm for achieving multi-party collaborative model training on decentralized data. …”
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