November 6th, 2023 
Daniela Lopez de Luise American Journal of Computer Science and Technology (AJCST)
e-ISSN: 2640-012X |
OA Policy |
40-70 Days' Publication
Dear López De Luise, D.,
AJCST serves as an excellent place for scholars, experts and research fellows to exchange ideas on computer science and technology.
To Become the Editorial Board Member/Reviewer
AJCST is recruiting active, qualified and high-profile scholars to join as Editorial Board Members and Reviewers. Scholars who possess interest and the requisite qualifications are welcome to engage with our editorial board or reviewer team.
You can refer to the following link to learn more about us:
http://www.amjcst.net/j8qc/8x-UX
http://www.amjcst.net/j8qc/8x-UX
Publish Your Papers
Due to the expertise shown in your paper published before “Multi-neural Networks Object Identification”, you are cordially invited to contribute original papers on emerging issues in your specialized/interested area. Here is the link for the paper submission:
http://www.amjcst.net/sgjw7q1/8x-UX
http://www.amjcst.net/sgjw7q1/8x-UX
One of the ways to assess the quality of a journal is to see the quality of its Editorial Board/Reviewer Team. Some of the Reviewers and Editorial Members of AJCST can be found here.
AJCST: Editorial Members
Ming Li Department of Computer Science, The University of Tulsa, Tulsa, United States
Chenxing Xia College of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China
Rajamohan Parthasarathy Faculty of Engineering, Built Environment and Information Technology, SEGi University, Kota Damansara, Malaysia
Zongyuan Wang School of Mathematics Science, Harbin Engineering University, Harbin, China
…
AJCST | Reviewers
Jianwei Si Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China
Zsolt Bederna Doctoral School on Safety and Security Sciences, Óbuda University, Budapest, Hungary
P Ramya Department of Information Technology, Christian College of Engineering and Technology, Oddanchatram, India
Weican Li School of Engineering, Brown University, Providence, United States
…
What follows is the title and abstract of your paper:
Your study's title: Multi-neural Networks Object Identification
Your study's abstract: This paper presents an Android prototype called HOLOTECH, a system to help blind people to understand obstacles in the environment. The goal of this paper is the analysis of different techniques and procedures to perform a fast and lightweight model able to detect obstacles in this context. The predictions and analysis are statistically evaluated, and results are used in order to improve the inference results. The model keeps working using low precision images drifted from an Android cell phone supported with ultrasonic sensors. Images are pre-processed on the fly, using multiple neural networks in conjunction with other heuristics, to infer obstacles and their displacement. Results indicate that it is possible to improve the prediction rate and at the same time to reduce extra processing load. ? 2021, Springer Nature Switzerland AG.
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