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$20 USD / jam
Bendera INDIA
jaipur, india
$20 USD / jam
Sekarang jam 7:46 PG di sini
Menyertai April 28, 2021
1 Syor

Alok P.

@PHIIndia

5.0 (3 ulasan)
2.5
2.5
100%
100%
$20 USD / jam
Bendera INDIA
jaipur, india
$20 USD / jam
100%
Pekerjaan Disiapkan
100%
Mengikut Bajet
86%
Tepat Pada Masa
17%
Kadar Upah Semula

Electrical Engineering Consultant & Data Analyst

Hi, Greetings of the day...!!! We are an academic and R&D Company, we deal in electrical & computer engineering. We have 16+ years of experience in engineering applications. We see the data set and we are confident to solve your task as you mention in the project details. you can see our profile, we have already done the same kind of task. Thanks Team PHI India

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Portfolio

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Ulasan

Perubahan disimpan
Menunjukkan 1 - 3 daripada 3 ulasan
Tapis ulasan mengikut:
5.0
$95.00 USD
Great freelancer he knows what he is doing
Electronics
Matlab and Mathematica
Electrical Engineering
Arduino
+1 lagi
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Bendera Salih Ogulcan H.
@ogulcan789
•
3 tahun yang lalu
5.0
$30.00 USD
Great freelancer delivered on time and professional work
Python
Matlab and Mathematica
Software Architecture
Mathematics
Arduino
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Bendera Salih Ogulcan H.
@ogulcan789
•
3 tahun yang lalu
5.0
$20.00 USD
An amazing freelancer would really recommend to work with and very responsive and committed i really like his work
Neural Networks
MATLAB
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Bendera Al Hakim S.
@hkmkhaz95
•
3 tahun yang lalu

Pengalaman

CEO & Cofounder

PHI INDIA
Feb 2017 - Hari ini
PHI India is a research & development-based organization in the field of education, A. I. & Machine learning, IoT, and Antenna & Microwave Technology.

Assistant Professor

Engineering College
Dis 2006 - Apr 2017 (10 tahun, 4 bulan)
Worked on a different post like Assistant prof. Associate prof. Head of the department and Dean Academics

Automation Engineer

Siemens system house India
Jul 2002 - Nov 2006 (4 tahun, 4 bulan)
Work as an Automation Engineer, responsible for plant retrofication

Pendidikan

M.Tech

Rajasthan Technical University, India 2006 - 2008
(2 tahun)

M.S. (Total Quality Management)

Sikkim Manipal University of Health, Medical and Technological Sciences, India 2004 - 2006
(2 tahun)

Kelayakan

Life Member IETE

IETE
2002
Life member of IETE

Senior member IEEE

IEEE
2010
Senior member IEEE from 2010-till date

Penerbitan

Prediction of Effective Thermal Conductivity of Polymer Composites Using an ANN Approach

Begell House,2012, University of California
Prediction of Effective Thermal Conductivity of Polymer Composites Using an ANN Approach

7. Neural Network-Based Model for Optimum Design of Wired Bowtie Antenna

IEEE
7. Neural Network-Based Model for Optimum Design of Wired Bowtie Antenna

Analysis of resonance characteristics single sided SRR type metamaterials for varying gap size

ICICCT
Analysis of resonance characteristics single-sided SRR type metamaterials for varying gap size

IoT-Based Traffic Management System Including Emergency Vehicle Priority

Springer book series
We have made an automated traffic management system to control four-lane traffic in urban areas. The IR sensor collects the data regarding the traffic density, and then it sends the data to the central processing unit which on processing the data takes the decisions according to the implemented algorithm. In case of heavy traffic conditions, an auto-generated email will be sent to the nearest traffic police station through an SMTP server.

Prediction of Antenna Parameters Using Machine Learning

Scopus Indexed
Machine learning is playing a key role in all the fields related to humans. In engineering design, scientific research, medical diagnostics, biotechnology, Economics even in humanities this technique is a using widely to explore hidden information and decision making. Here in this paper, we are using machine learning in antenna technology to predict and estimate the parameters of the antenna. Here we are using the neural network technique to complete this task.

Next Word Prediction using N-gram model and Smoothing

Scopus Indexed
Word prediction is an intelligent word processing feature that can help students and other persons simply by reducing the number of keystrokes required for typing text. T This model is used to assign probabilities to sequences and sentences. This methodology is sort of tough in alternative languages with theexception of English. The model goes through the corpus of English words and predicts the next word using n-gram.

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