Freelancer ロゴ 使用方法 仕事を検索する
ログイン 登録
プロジェクトを投稿する
探す
Android
MATLAB
Python
Robotics
Simulation
プロフィールカバー写真
あなたはをフォローしました
ユーザーのフォローエラー。
このユーザーはフォローを許可していません。
このユーザーをすでにフォローしています。
あなたのメンバーシッププランは、0 個のフォローのみ許可します。アップグレードは、 こちら。
のフォローを解除しました
ユーザーのフォロー解除エラー。
あなたはを推薦しました
ユーザーの推薦エラー。
何か問題が発生しました。ページを更新してもう一度お試しください。
メールの認証に成功しました。
ユーザーアバター
$25 USD / 時間
EGYPTのフラグ
mansoura, egypt
$25 USD / 時間
こちらは現在5:50 午後です
登録日: 11月 26, 2016
2 お気に入り

Ahmed E.

@ahmedelhelow

verified.svg
 5.0 (22 レビュー)
5.8
5.8
91%
91%
$25 USD / 時間
EGYPTのフラグ
mansoura, egypt
$25 USD / 時間
100%
完了したプロジェクト
100%
予算内
100%
期限内
50%
再採用率

Machine Learning Engineer

I have a master's degree in Engineering from Italy. I worked as a teaching assistant for 4 years. I am currently working as a senior machine learning engineer in a start-up company. I have a great experience in Python. I have done many projects in machine learning and deep learning especially in computer vision and image processing. I worked on tensorflow, keras and pytorch frameworks. However, I am still new to NLP, but I am getting better everyday. I have taught Artificial Intelligence, Machine Learning and Robotics to 300 students each. I have mentor many projects in these fields. I am a punctual person who delivers the required work on time.
Freelancer Robotics Engineers Egypt
全て見る Robotics Engineers 、 Egypt

仕事についてAhmed E.に連絡する

ログインしてチャットで詳細を相談しましょう、

ポートフォリオ

11508775
Requirements: - I need a photo search engine designed and deployed. I have a growing library of photos (approximately 4 million) that I need to be able to search via submission of a photo to the API. The search would return, via the API, the closest matched photo and meta data associated with the photo and up to 6 closest photos. - The system also needs a method to insert new photos to the library, preferably in bulk, manage the metadata, and update existing photos in the library. - The search feature needs to be extremely fast and accurate
Image Search Engine using Variational Autoencoder
11508731
Requirements: 1- Obtain images from rtsp live feed. 2- Detection and Tracking model for 6 different brands, each has 3 different weights. So in total 18 different classes. 3- Process 7 rtsp live feeds from 7 cameras simultaneously on the same machine and same GPU. 4- Create an algorithm to detect when package is closing in order to count them or not. 5- Create a database to store counts for each product. 6- Create a table for shift change.
Factory Products Recognition and Counting
9544574
Rules of the game: 1- A player takes turn to move one of his pieces either horizontally or vertically. Each move can cross over any number of unoccupied squares to an unoccupied square. 2- Any player whose move completes a squeeze pattern will result in the elimination of his opponent's pieces in the pattern. 3- A player wins a game when his opponent cannot make a move. In most cases, this is because all of the opponent's pieces have been blocked or eliminated. Minimax algorithm is a recursive algorithm for choosing the next move in an n-player game, usually a two-player game.
AI agent using Minimax for board game
Rules of the game: 1- A player takes turn to move one of his pieces either horizontally or vertically. Each move can cross over any number of unoccupied squares to an unoccupied square. 2- Any player whose move completes a squeeze pattern will result in the elimination of his opponent's pieces in the pattern. 3- A player wins a game when his opponent cannot make a move. In most cases, this is because all of the opponent's pieces have been blocked or eliminated. Minimax algorithm is a recursive algorithm for choosing the next move in an n-player game, usually a two-player game.
AI agent using Minimax for board game
9544548
The goal of the model is to do image instance segmentation by training deeplabv3+ model in order to detect new label called trueFairway. Image semantic segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. However, image instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.
Image Segmentation for Golf Clubs
The goal of the model is to do image instance segmentation by training deeplabv3+ model in order to detect new label called trueFairway. Image semantic segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. However, image instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.
Image Segmentation for Golf Clubs
8783489
Using different preprocessing, segmentation and post-processing methods to segment the lesions area of the LIDC-IDRI dataset.
LIDC-IDRI Dataset Lesions Segmentation
Using different preprocessing, segmentation and post-processing methods to segment the lesions area of the LIDC-IDRI dataset.
LIDC-IDRI Dataset Lesions Segmentation
8783466
Add Q-learning Algorithm to Pacman Game. Q-learning Algorithm is a model-free Reinforcement Learning Algorithm to learn a policy telling an agent what action to take under what circumstances.
Reinforcement Learning for Pacman Game
Add Q-learning Algorithm to Pacman Game. Q-learning Algorithm is a model-free Reinforcement Learning Algorithm to learn a policy telling an agent what action to take under what circumstances.
Reinforcement Learning for Pacman Game
11508775
Requirements: - I need a photo search engine designed and deployed. I have a growing library of photos (approximately 4 million) that I need to be able to search via submission of a photo to the API. The search would return, via the API, the closest matched photo and meta data associated with the photo and up to 6 closest photos. - The system also needs a method to insert new photos to the library, preferably in bulk, manage the metadata, and update existing photos in the library. - The search feature needs to be extremely fast and accurate
Image Search Engine using Variational Autoencoder
11508731
Requirements: 1- Obtain images from rtsp live feed. 2- Detection and Tracking model for 6 different brands, each has 3 different weights. So in total 18 different classes. 3- Process 7 rtsp live feeds from 7 cameras simultaneously on the same machine and same GPU. 4- Create an algorithm to detect when package is closing in order to count them or not. 5- Create a database to store counts for each product. 6- Create a table for shift change.
Factory Products Recognition and Counting
9544574
Rules of the game: 1- A player takes turn to move one of his pieces either horizontally or vertically. Each move can cross over any number of unoccupied squares to an unoccupied square. 2- Any player whose move completes a squeeze pattern will result in the elimination of his opponent's pieces in the pattern. 3- A player wins a game when his opponent cannot make a move. In most cases, this is because all of the opponent's pieces have been blocked or eliminated. Minimax algorithm is a recursive algorithm for choosing the next move in an n-player game, usually a two-player game.
AI agent using Minimax for board game
Rules of the game: 1- A player takes turn to move one of his pieces either horizontally or vertically. Each move can cross over any number of unoccupied squares to an unoccupied square. 2- Any player whose move completes a squeeze pattern will result in the elimination of his opponent's pieces in the pattern. 3- A player wins a game when his opponent cannot make a move. In most cases, this is because all of the opponent's pieces have been blocked or eliminated. Minimax algorithm is a recursive algorithm for choosing the next move in an n-player game, usually a two-player game.
AI agent using Minimax for board game
9544548
The goal of the model is to do image instance segmentation by training deeplabv3+ model in order to detect new label called trueFairway. Image semantic segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. However, image instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.
Image Segmentation for Golf Clubs
The goal of the model is to do image instance segmentation by training deeplabv3+ model in order to detect new label called trueFairway. Image semantic segmentation is the task of clustering parts of an image together that belong to the same object class. This process is also called pixel-level classification. However, image instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.
Image Segmentation for Golf Clubs
8783489
Using different preprocessing, segmentation and post-processing methods to segment the lesions area of the LIDC-IDRI dataset.
LIDC-IDRI Dataset Lesions Segmentation
Using different preprocessing, segmentation and post-processing methods to segment the lesions area of the LIDC-IDRI dataset.
LIDC-IDRI Dataset Lesions Segmentation
8783466
Add Q-learning Algorithm to Pacman Game. Q-learning Algorithm is a model-free Reinforcement Learning Algorithm to learn a policy telling an agent what action to take under what circumstances.
Reinforcement Learning for Pacman Game
Add Q-learning Algorithm to Pacman Game. Q-learning Algorithm is a model-free Reinforcement Learning Algorithm to learn a policy telling an agent what action to take under what circumstances.
Reinforcement Learning for Pacman Game

レビュー

変更を保存しました
1 - 5 / 22 レビュー表示中
 レビューを絞り込む：
5.0
$2,810.00 USD
Photo Search Engine W/ API
Amazing end product! Went above and beyond. Well definitely use again!
Software Architecture
Database Development
RESTful API
Computer Vision
ユーザーアバター
のフラグ Daniel M.
@travin69
•
1年前
4.6
$225.00 USD
People familiar with robot, euler angle, object rotation in 3d and python
wowowowoowowowowowowowo
Robotics
P
のフラグ Jian J.
@pingzhu
•
3年前
5.0
$250.00 USD
Project for Ahmed E. -- 5
Excellent to work with, professional and honest
Python
Machine Learning (ML)
Robotics
MATLAB
+1 もっと
I
のフラグ Mohamed A.
@ismmomo11
•
3年前
5.0
$400.00 USD
Project for Ahmed E. -- 4
Excellent knowledge and delivered work on time. Excellent quality of work. Very professional. I have worked with Ahmed several times before for different projects with excellent results, would definitely hire again!
Python
Machine Learning (ML)
Robotics
MATLAB
+1 もっと
I
のフラグ Mohamed A.
@ismmomo11
•
3年前
5.0
$1,190.00 USD
Project for Ahmed E. -- 20/12/07 13:08:53
Excellent work and on time.
C Programming
C# Programming
Arabic Translator
Artificial Intelligence
+1 もっと
A
のフラグ Akhil K.
@akhil9849
•
3年前

経験

Teaching Assistant

Mansoura University, Faculty of Engineering
9月 2014 - 8月 2017 (2 , 11 )
Responsibilities • Supervise and evaluate technical projects • Facilitate a discussion section or tutorial • Create and evaluate assignments and quizzes Mentorship Projects • Drug Vending Machine • Remote Controlled Drone • Robotic Hand Controlled by a Glove • Autonomous Minesweeper competition Teaching Courses • Artificial Intelligence • Modern Control Theory • Machine Learning • Microcontroller • Programming

教育

Master of Science in Control Engineering

Università degli Studi di Roma 'La Sapienza', Italy 2017 - 2019
(2 )

Bachelor of Computers and Systems Engineering

Mansoura University, Egypt 2008 - 2013
(5 )

出版物

Deep neural network prediction of modified stepped double-slope solar still with ...

Springer Nature
This research work intends to enhance the stepped double-slope solar still performance. The methods developed and compared are SVR, decision tree regressor, neural network, and deep neural network based on experimental data. This problem is a multi-output prediction problem which is HP and ITE. The prediction performance for the SVR was the lowest with 70 MAE for HP and 4.5% for ITE. The best model used the deep neural network with 1.94 MAE for HP and 0.67% MAE for ITE.

仕事についてAhmed E.に連絡する

ログインしてチャットで詳細を相談しましょう、

認証

優先フリーランサー
本人確認済み
認証済み支払方法
電話番号認証済み
メール認証済み
Facebook接続済み

認定

preferredfreelancer-1.png Preferred Freelancer Program SLA 1 97%

トップスキル

Robotics 14
MATLAB 13
Simulation 13
Python 10
Android 8

同じようなフリーランサーを検索

Robotics Engineers in Egypt
Robotics Engineers
MATLAB Experts
Simulation Engineers

同じようなショーケースを検索

Robotics
MATLAB
Simulation
Python
前のユーザー 新しいユーザー
招待状の送信に成功しました！
ありがとうございます！無料クレジットを受け取るリンクをメールしました。
メールを送信中に問題が発生しました。もう一度お試しください。
Freelancer ロゴ Japan / 日本語 ヘルプ＆サポート フリーランサー カテゴリー プロジェクト コンテスト フリーランサー エンタープライズ メンバーシップ 優先フリーランサープログラム プロジェクト管理 ローカルジョブ Photo Anywhere ショーケース 開発者用API 認証を受ける デスクトップアプリ 関連情報 当社について ご利用方法 セキュリティ 投資家 サイトマップ ストーリー ニュース チーム アワード プレスリリース Careers 利用規約 プライバシーポリシー 利用規約 コピーライトポリシー 行動規範 手数料とその他費用 パートナー Escrow.com Loadshift Warrior Forum アプリApple App Store のロゴGoogle Play ロゴ
クリップボードへのコピーが失敗しました、権限を調整してからもう一度お試しください。
クリップボードにコピーされました。
登録ユーザー 投稿された仕事の合計
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
プレビューを読み込み中
位置情報へのアクセスが許可されました。
あなたのログインセッションの有効期限がきれ、ログアウトされました。もう一度ログインしてください。