Results 201 to 210 of about 24,193 (248)

Electroluminescent Image Processing and Cell Degradation Type Classification via Computer Vision and Statistical Learning Methodologies

2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 2017
A data set of 90 60-cell module images from 5 commercial PV module brands over 6 exposure steps of damp-heat testing were analyzed. An automated data analysis pipeline was developed using the open source coding language Python to parse the module images into individual cell images. As the original raw images are not directly suitable for modeling, this
Justin S. Fada, Mohammad A. Hossain, Jennifer L. Braid, Shuying Yang, Timothy J Peshek, Roger H. French   +5 more
openaire   +1 more source

Parallel Processing Methodologies for Image Processing and Computer Vision

1993
Publisher Summary This chapter highlights parallel processing methodologies for image processing and computer vision. Providing machines with comparable visual capabilities is the goal of modern computer vision. However, a major obstacle in the development and widespread use of computer vision has been the enormous data throughput and processing ...
S. Yalamanchili, J.K. Aggarwal
openaire   +1 more source

Quantum Generative Adversarial Networks For Image De-Noising

2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE)
Quantum Generative Adversarial Networks (QGANs) have emerged as a promising avenue for image de-noising, leveraging the principles of quantum computing to address challenges in traditional methodologies.
Sai Kiran Guntupalli, Mounika Nagipogu, Yeshwanth Talla, Kiran Mannem   +3 more
semanticscholar   +1 more source

Federated Learning Approach Decouples Clients From Training a Local Model and With the Communication With the Server

IEEE Transactions on Network and Service Management, 2022
Traffic sign recognition and autonomous vehicles computing are a few of the innovative applications which are emerging in the domain of mobile edge computing.
Konstantinos D. Stergiou, Konstantinos E. Psannis   +1 more
semanticscholar   +1 more source

An Optimized Deep Learning Approach To Identfiy the Alzheimer's Stages Identification Based on Biomarkers Extraction

2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS), 2023
Alzheimer's is a progressive brain disorder. It affects human brain cell connections; as a result, it creates memory losses and other significant mental functional problems. The diagnosis of early stages of Alzheimer's and proper medication helps control
R. Sampath, M. Baskar
semanticscholar   +1 more source

Approximate Computing-Based VLSI Architecture for Optimized 2D FIR Filter Implementation

2025 IEEE DELCON - International Conference on Recent Smart Technologies in Engineering for Sustainable Development
The evolution of VLSI design methodologies has led to significant advancements in optimizing digital circuits in terms of Area Complexity (AC), Power Consumption (PC), and Latency. One of the promising approaches for achieving optimizations is the use of
Abhishek Inguva, Nikhil Srinivas Charugundla, Shreya Reddy Konatham, Venkata Krishna Odugu, Harish Babu Gade   +4 more
semanticscholar   +1 more source

Improving Vehicle Perception Through Image Stitching: A Serial and Parallel Evaluation

2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0
Image stitching is important in a large number of applications, particularly enhancing decision making in vehicular systems by providing an expansive view from different perspectives.
Mallegowda M, N. Viswanath, Nimai Polepalli, Nikith Ganga   +3 more
semanticscholar   +1 more source

INVITED: Adversarial Machine Learning Beyond the Image Domain

Design Automation Conference, 2019
Machine learning systems have had enormous success in a wide range of fields from computer vision, natural language processing, and anomaly detection.
Giulio Zizzo, C. Hankin, S. Maffeis, K. Jones   +3 more
semanticscholar   +1 more source

Deep learning based intelligence cognitive vision drone for automatic plant diseases identification and spraying

Journal of Intelligent & Fuzzy Systems, 2020
The agriculture industry is of great importance in many countries and plays a considerable role in the national budget. Also, there is an increased interest in plantation and its effect on the environment.
Ghazanfar Latif, Jaafar M. Alghazo, R. Maheswar, V. Vijayakumar, M. Butt   +4 more
semanticscholar   +1 more source

Time-frequency based feature extraction for the analysis of vibroarthographic signals

Computers & electrical engineering, 2018
In this study, we propose to develop a computer-aided diagnostic (CAD) system based on time-frequency analysis for the diagnosis of knee-joint disorders. Two methodologies based on nonstationary signal processing techniques have been proposed. We propose
Saif Nalband, C. Valliappan, A. Amalin Prince, Anita Agrawal   +3 more
semanticscholar   +1 more source