Muhammad Osama

Muhammad Osama

BTech(MechEng)

Mechanical Engineering with specialization in AI & Robotics

Muhammad Osama is a full-time data analytics consultant and freelance technical writer based in Delhi, India. He specializes in transforming complex technical concepts into accessible content. He has a Bachelor of Technology in Mechanical Engineering with specialization in AI & Robotics from Galgotias University, India, and he has extensive experience in technical content writing, data science and analytics, and artificial intelligence. Muhammad has worked on various research projects related to data analytics, machine learning, and deep learning for industries such as retail, medical, finance, agriculture, and Ed-Tech. He is enthusiastic and passionate about Artificial Intelligence-related research. Outside of work, he enjoys learning about new developments across all the fields related to science, technology, engineering, mathematics, and statistics.

Articles from Muhammad

Predicting Jack Speed and Torque of a Tunnel Boring Machine Using Artificial Intelligence

Predicting Jack Speed and Torque of a Tunnel Boring Machine Using Artificial Intelligence

Wireless Sensor Networks: Blockchain and Swarm Intelligence Approach

Wireless Sensor Networks: Blockchain and Swarm Intelligence Approach

Urban Heat Exposure Assessment Using Smart City Digital Twins

Urban Heat Exposure Assessment Using Smart City Digital Twins

Untethered Soft Actuators: A Review of Recent Advances and Future Perspectives

Untethered Soft Actuators: A Review of Recent Advances and Future Perspectives

Auto Tiny Classifiers: Efficient Hardware Solutions for Tabular Data

Auto Tiny Classifiers: Efficient Hardware Solutions for Tabular Data

Edge Detection in Color Images Using SVM-SSO Integration

Edge Detection in Color Images Using SVM-SSO Integration

Non-Destructive Analysis of Intergranular Fatigue Cracking in SAC305-Bi Solder Balls

Non-Destructive Analysis of Intergranular Fatigue Cracking in SAC305-Bi Solder Balls

NLP Approach for ICD-10 Inference in Ophthalmology Reports

NLP Approach for ICD-10 Inference in Ophthalmology Reports

Deep Convolutional Neural Network for Grape Leaf Disease Detection

Deep Convolutional Neural Network for Grape Leaf Disease Detection

Predicting Complex Processes with Recurrent Neural Networks

Predicting Complex Processes with Recurrent Neural Networks

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