Results 11 to 20 of about 184,048 (74)

Microstructural Studies of Ni-P Thick Film Resistor Temperature Sensors

Active and Passive Electronic Components, 1986
Thick Ni-P films have been widely investigated at our Institute. This article tends to visualize by use of various microscopic methods how the growth and sintering of individual conducting grains, results in the formation of nickel dendrites responsible ...
Barbara Holodnik, Abram Jakubowicz, Marian Lukaszewicz, Wolfgang Hauffe   +3 more
doaj   +1 more source

The Attention Enhanced Autoencoder for Balise Anomaly Detection in Potting Process

IEEE Access
Balise is a critical trackside component in railway systems, operating in harsh environments where silicone gel potting enhances reliability. However, the potting process is irreversible; defects lead to costly scrap and operational delays.
Ke Ye, Jingpin Jiao, Fanghua Chen, Qing Xu, Gehui Liu, Jun Wang   +5 more
doaj   +1 more source

Semantic RF Waveform Adaptation in Flying Ad Hoc Networks via Hybrid Knowledge Bases and Deep Reinforcement Learning

IEEE Access
By directly encoding the semantic meaning into each RF waveform symbol, we can significantly reduce the communication overhead. Particularly, semantic communication in Flying Ad Hoc Networks (FANETs)—formed by uncrewed aerial vehicles (UAVs ...
Weiqiang Lyu, Linsheng He, Jiamiao Zhao, Fei Hu   +3 more
doaj   +1 more source

Enhancing CNN-Based Signal Denoising: A Novel Metric Framework With Harmonic Suppression Through Hybrid Modeling

IEEE Access
Convolutional neural networks (CNNs) show promise for signal denoising but can introduce harmonic distortions due to their nonlinearity. This paper introduces a comprehensive evaluation framework that merges traditional metrics like Signal-to-Noise Ratio
Omer Nacar, Turgay Koc
doaj   +1 more source

Robust Fault Classification in Permanent Magnet Synchronous Machines Under Dynamic and Noisy Conditions

IEEE Access
Detection and isolation of multiple low-severity faults in permanent magnet synchronous machines (PMSMs) under dynamics and noisy conditions are very important to enhance the system’s reliability, lifetime, and service availability.
Mikal Laursen, Van-Van Huynh, Duy-Hung Ha, Mahmoud S. Mahmoud, van Khang Huynh   +4 more
doaj   +1 more source

Transformers for Domain-Specific Text Classification: A Case Study in the Banking Sector

IEEE Access
The growing volume of unstructured text data in the banking sector has created a need for advanced classification methods to manage customer inquiries efficiently, resulting in faster response times, automated message classification, and reduced human ...
Samer Murrar, Fatima M. Alhaj, Fadi Almasalha, Mahmoud H. Qutqut   +3 more
doaj   +1 more source

A Hybrid Deep Multistacking Integrated Model for Plant Disease Detection

IEEE Access
Plant disease detection is a critical challenge in agriculture, as undetected or poorly managed diseases can lead to significant yield losses, economic setbacks for farmers, and compromised food security.
Majdi Khalid, MD. Alamin Talukder
doaj   +1 more source

Ethical Considerations of AI in Education: A Case Study Based on Pythia Learning Enhancement System

IEEE Access
As the use of AI in education increases, addressing ethical concerns is essential for its responsible use and implementation. This study explores the ethical considerations of AI in education by analyzing a concrete application, the Pythia Learning ...
Simon Rohrl, Susanne Staufer, Flemming Bugert, Vamsi Krishna Nadimpalli, Florian Hauser, Lisa Grabinger, Dominik Bittner, Timur Ezer, Ricardo Altweck, Sabine Graf, Thomas Kriza, Jurgen Mottok   +11 more
doaj   +1 more source

Automated System to Optimize the Process and Energy Consumption for Sewage Treatment Plant Based on Gas Emission by Using Sensors and IoT

IEEE Access
Sewage Treatment Plants (STPs) play a crucial role in environmental sustainability and public health by removing pollutants from wastewater. Traditional STPs suffer from high energy consumption, operational inefficiencies, and a lack of real-time ...
S. Ullas, B. Uma Maheswari, Seshaiah Ponnekanti, T. M. Mohan Kumar   +3 more
doaj   +1 more source

Enhancing Accuracy of 2D ¹H–¹³C HSQC NMR Spectra Under Low Sampling Rates via Non-Harmonic Analysis and Band Segmentation

IEEE Access
Multidimensional nuclear magnetic resonance (NMR) spectroscopy is a powerful tool for analyzing molecular structures; however, its practical application is hindered by prolonged acquisition times and reduced resolution due to spectral overlap.
Yuhang Du, Koushin Matsumoto, Shu Nagahara, Kazuma Tabo, Masaya Hasegawa, Shigeki Hirobayashi   +5 more
doaj   +1 more source