• A brain-inspired framework for evolutionary artificial general intelligence 

  Nadji-Tehrani, Mohammad; Eslami, Ali (IEEE, 2020-12)

  From the medical field to agriculture, from energy to transportation, every industry is going through a revolution by embracing artificial intelligence (AI); nevertheless, AI is still in its infancy. Inspired by the evolution ...

• Learning the truth by weakly connected agents in social networks using multi-Armed Bandit 

  Odeyomi, Olusola T. (IEEE, 2020-11-09)

  This article provides a study into the social network where influential personalities collaborate positively among themselves to learn an underlying truth over time, but may have misled their followers to believe a false ...

• Deep Learning for Optimal Resource Allocation in IoT-enabled Additive Manufacturing 

  Mashhadi, Farshad; Salinas Monroy, Sergio A. (IEEE, 2020-10-13)

  Additive manufacturing is revolutionizing the way that we produce, deliver, and consume objects in many industries. Compared to traditional manufacturing, where large factories mass produce objects far away from consumers, ...

• Eyebrow deserves attention: upper periocular biometrics 

  Nguyen, Hoang Mark; Rattani, Ajita; Derakhshani, Reza R. (IEEE, 2020-10-02)

  Ocular biometrics is attracting exceeding attention from research community and industry alike thanks to its accuracy, security, and ease of use in mobile devices, especially in the presence of occlusions such as masks ...

• Comparison of machine learning and deep learning models for network intrusion detection systems 

  Thapa, Niraj; Liu, Zhipeng; Kc, Dukka B.; Gokaraju, Balakrishna; Roy, Kaushik (MDPI AG, 2020-09-30)

  The development of robust anomaly-based network detection systems, which are preferred over static signal-based network intrusion, is vital for cybersecurity. The development of a flexible and dynamic security system is ...

• Constructive precoder design for single beam multiuser satellite system with PSK signals 

  Ding, Yanwu; Pham, Khanh D.; Kwon, Hyuck M.; Lyke, James (IEEE, 2020-08-21)

  In satellite systems downlink transmission, multiuser interference from other users often poses severe degradation to the performance. It is commonly mitigated or removed to maintain the quality of service (QoS). In this ...

• MagicHand: context-aware dexterous grasping using an anthropomorphic robotic hand 

  Li, Hui; Tan, Jindong; He, Hongsheng (IEEE, 2020-09-15)

  Understanding of characteristics of objects such as fragility, rigidity, texture and dimensions facilitates and innovates robotic grasping. In this paper, we propose a context- aware anthropomorphic robotic hand (MagicHand) ...

• Simulation models for mobile-to-mobile channels with isotropic and nonisotropic scattering 

  Ding, Yanwu; Ibdah, Yazan (Springer, 2020-09-30)

  Recent radio channel measurements in peer-to-peer (P2P) and mobile-to-mobile network indicate that, depending on the mobility of the terminals and scattering properties of the environment, the predominate fading mechanism ...

• Transmission congestion management considering EV parking lots and demand response programmes 

  Mohsenzadeh, Amin; Pang, Chengzong; Yang, Lin (Taylor and Francis Ltd, 2020-10-07)

  Transmission congestion is one of the key elements affecting spike price and local market power. Reducing the demand and increasing the generation in distribution network may lead to relive the congestion of a transmission ...

• Optimal auction for delay and energy constrained task offloading in mobile edge computing 

  Mashhadi, Farshad; Salinas Monroy, Sergio A.; Bozorgchenani, Arash; Tarchi, Daniele (Elsevier B.V., 2020-12-24)

  Mobile edge computing has emerged as a promising paradigm to complement the computing and energy resources of mobile devices. In this computing paradigm, mobile devices offload their computing tasks to nearby edge servers, ...

• Assessment of economic value of assistive technologies through quality-adjusted work-life years (qawly) 

  Joseph, Siny; Namboodiri, Vinod (Springer, 2020-09-04)

  Assistive technologies (ATs) are commonly used to improve the quality of life of persons with disabilities. While their utility to a person is usually clear, their cost-effectiveness or economic value is often unclear. ...

• Ibeaconmap: Automated indoor space representation for beacon-based wayfinding 

  Cheraghi, Seyed Ali; Namboodiri, Vinod; Sinha, Kaushik (Springer, 2020-09)

  Traditionally, there have been few options for navigational aids for the blind and visually impaired (BVI) in large indoor spaces. Some recent indoor navigation systems allow users equipped with smartphones to interact ...

• Geospatial Cyberinfrastructure for regional economic Growth 

  Asaduzzaman, Abu; Gupta, Deepak P. (IEEE, 2020-08-04)

  Cyberinfrastructure (CI) has potential to assist economic activities that involve real-time data analytics. Important challenges include the integration of essential geospatial principles (such as spatial constraints in ...

• Random projection-based auxiliary information can improve tree-based nearest neighbor search 

  Keivani, Omid; Sinha, Kaushik (Elsevier, 2021-02-06)

  Nearest neighbor search using random projection trees has recently been shown to achieve superior performance, in terms of better accuracy while retrieving less number of data points, compared to locality sensitive hashing ...

• SSIoT: Energy-efficient optimal Admission Control for Body Area Networks 

  Nekoui, Mohammad Ali; Chu, Lichung; Eslami, Ali (IEEE, 2020-06-30)

  This paper proposes an optimal Admission Control (AC) scheme for Body Area Networks (BANs). The scheme captures BAN characteristics, such as limited buffer size and power consumption of sensor nodes, and QoS-sensitive ...

• Secure distributed storage: rate-privacy trade-off and XOR-based coding scheme 

  Chou, Remi; Kliewer, Jorg (IEEE, 2020-06)

  We consider the problem of storing data in a distributed manner over T servers. We require the data (i) to be recoverable from the T servers, and (ii) to remain private from any T -1 colluding servers, where privacy is ...

• Explicit construction of multiple access channel resolvability codes from source resolvability codes 

  Sultana, Rumia; Chou, Remi (IEEE, 2020-06)

  We show that the problem of code construction for multiple access channel resolvability can be reduced to the simpler problem of code construction for source resolvability. Specifically, we propose a multiple access channel ...

• Robotic understanding of object semantics by referring to a dictionary 

  Yan, Fujian; Tran, Dang M.; He, Hongsheng (Springer Nature B.V., 2020-06-19)

  Scene understanding is a fundamental challenge for intelligent robots, especially for social robots, which are expected to have a human-like perception, comprehension, and knowledge. This paper proposes an approach to ...

• DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins 

  Chaudhari, Meenal; Thapa, Niraj; Roy, Kaushik; Newman, Robert H.; Hiroto, Saigo; Kc, Dukka B. (Royal Society of Chemistry, 2020-06-03)

  Methylation, which is one of the most prominent post-translational modifications on proteins, regulates many important cellular functions. Though several model-based methylation site predictors have been reported, all ...

• Towards microscale NFC-enabled IoT Sensors: Physical and MAC layer design analysis 

  Okwori, Michael; Behfarnia, Ali; Eslami, Ali (IEEE, 2020-05-07)

  Microscale sensors provide critical solutions in diverse fields, ranging from measurement, automation, and control in industrial, agricultural, and biomedical applications. However, their development is limited by many ...

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