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ACM Computing Surveys
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  1-10 of 236 reviews Date Reviewed 
   A survey on end-edge-cloud orchestrated network computing paradigms: transparent computing, mobile edge computing, fog computing, and cloudlet
Ren J., Zhang D., He S., Zhang Y., Li T.  ACM Computing Surveys 52(6): 1-36, 2019. Type: Article

Recognizing the limits of (distant) cloud computing, modern Internet of things (IoT) architectures recognize the so-called edge continuum between cloud applications and IoT devices and machines. “Continuum” implies that “edgeR...

Jun 17 2022
  Detection and resolution of rumours in social media: a survey
Zubiaga A., Aker A., Bontcheva K., Liakata M., Procter R.  ACM Computing Surveys 51(2): 1-36, 2018. Type: Article

Unverified information can spread on the web and influence public opinion before it is eventually verified as true or false. Such rumors eventually evolve during reiterated transmission, and often accompany fake news. The use of social media has m...

Mar 30 2022
   A survey on session-based recommender systems
Wang S., Cao L., Wang Y., Sheng Q., Orgun M., Lian D.  ACM Computing Surveys 7(54): 1-38, 2022. Type: Article

Wang et al. present a comprehensive survey with this paper. A session-based recommender system (SBRS) is a system that makes recommendations to users based on short-term, dynamic user preferences (in a session). It is different from other recommen...

Dec 2 2021
  Environmental audio scene and sound event recognition for autonomous surveillance: a survey and comparative studies
Chandrakala S., Jayalakshmi S.  ACM Computing Surveys 52(3): 1-34, 2019. Type: Article

As my colleagues and I define in a previous paper, “environmental sound recognition (AESR) is a relatively new discipline of computer science destined to extend the field of speech-based applications, or the study of music sounds, by explori...

Nov 11 2021
  A survey of machine learning for big code and naturalness
Allamanis M., Barr E., Devanbu P., Sutton C.  ACM Computing Surveys 51(4): 1-37, 2018. Type: Article

There is a rising demand for effective software tools that can help developers build reliable and maintainable software systems. There has been abundant research to help developers track bugs and verify program properties and refactor code. Recent...

Nov 4 2021
  Automated expertise retrieval: a taxonomy-based survey and open issues
Gonçalves R., Dorneles C.  ACM Computing Surveys 52(5): 1-30, 2019. Type: Article

Due to the rigorous advancement in skill sets through knowledge enhancement, multiple methods of sharing the required skills can challenge industries that are looking for the “right fit.” At the same time, the storage of information in...

Aug 31 2021
  A survey on gait recognition
Wan C., Wang L., Phoha V.  ACM Computing Surveys 51(5): 1-35, 2018. Type: Article

Gait recognition is a biometric method that uses sensor data to recognize people based on body shape and walking styles. Gait data is acquired from video images, inertial sensors, or sensors in the environment. The possible uses are diagnostic, bu...

Jun 8 2021
  Modeling information retrieval by formal logic: a survey
Abdulahhad K., Berrut C., Chevallet J., Pasi G.  ACM Computing Surveys 52(1): 1-37, 2019. Type: Article

As the title indicates, formal logic is used for modeling information retrieval (IR). Readers can expect a literature review (of IR models), supported with graphs, mathematical formulas, and examples that lead to some interesting conclusions....

Apr 12 2021
  Applications of distributed ledger technologies to the Internet of Things: a survey
Zhu Q., Loke S., Trujillo-Rasua R., Jiang F., Xiang Y.  ACM Computing Surveys 52(6): 1-34, 2019. Type: Article

If you have ever wondered how the Internet of Things (IoT)--the interconnection of physical and virtual things through existing and evolving communication technologies--might benefit from blockchain and other distributed ledger technolog...

Mar 22 2021
  Orchestrating big data analysis workflows in the cloud: research challenges, survey, and future directions
Barika M., Garg S., Zomaya A., Wang L., Moorsel A., Ranjan R.  ACM Computing Surveys 52(5): 1-41, 2019. Type: Article

When processing different big data workflows, many new and (so far) unknown patterns and performance requirements are visible. We are forced to search new processing models and management techniques that can support the design of different aspects...

Mar 2 2021
 
 
 
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