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Task-Specific Ergonomic Workstation Design in Manual Cashew Kernel Separating Activity
The cashew industry in India is facing a massive predicament of occupational health problems such as work-related musculoskeletal disorders (MSDs)....
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Fabrication of Linear Polarization-Separating Silicon Metalens at Long-Wavelength Infrared
A polarization-separating metalens at the long-wavelength infrared was designed, developed, and demonstrated. The silicon quadrangular pillars are...
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Optimization of Pneumatic Separating Process Parameters Based on BP Neural Network
In order to explore the relationship between the process parameters of the pneumatic separating process and the evaluation index of the pneumatic...
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A New Method for Separating Temperature Effect of Bridge Strain Monitoring
Temperature has a significant influence on bridge strain monitoring data. To improve the accuracy of temperature effect separation in strain...
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Anomaly detection with a variational autoencoder for Arabic mispronunciation detection
Computer-assisted language learning (CALL) systems increasingly arouse a significant interest and establish a presence in automated foreign language...
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Accurate 77-GHz Millimeter-Wave Radar Noncontact Vital Sign Detection Using the Optimized Variational Mode Decomposition Algorithm
Respiration and heartbeat are important vital signs of the human body. More detection systems, for these vital signs, especially for noncontact...
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Knowledge Augmentation for Early Depression Detection
Individuals continue to share their mental health concerns on social media, providing an avenue to rapidly detect those potentially in need of...
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Signal Processing-Based Attack Detection
The chapter delves into an innovative approach to improve the security of smart grid systems through signal processing techniques. The chapter begins...
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Vortex-Beam Detection
Orbital angular momentum (OAM) multiplexing increases the communication bandwidth and improves the spectral efficiency. The vortex light obtained by...
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Providing a hybrid approach to increase the accuracy of intrusion detection systems in computer networks
Intrusion detection is a critical obstacle in the realm of security and data mining methodologies. Consequently, researchers have extensively...
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An Unsupervised Voice Activity Detection Using Time-Frequency Features
Voice Activity Detection (VAD) is a binary classification problem for separating speech segments from background silence or noise. Over time, many...
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Cyberbullying Detection Using BiLSTM Model
Cyberbullying is a growing concern in the digital age, affecting individuals of all ages and backgrounds. To compact this issue, various techniques...
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Fetal QRS Complexes Detection Using Deep Learning Technique
The fetal Q, R, and S peaks complex detection in Non-invasive fetal ECG is an important procedure to ensure the fetal condition during the pregnancy....
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Video Tampering Detection in Real Time
Videos are used everywhere nowadays for various purposes. There is great improvement in visual innovations, which has wide applications. Videos are...
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FEDDBN-IDS: federated deep belief network-based wireless network intrusion detection system
Over the last 20 years, Wi-Fi technology has advanced to the point where most modern devices are small and rely on Wi-Fi to access the internet....
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A Comparative Study of Novelty Detection Models for Zero Day Intrusion Detection in Industrial Internet of Things
The detection of zero-day attacks in the IoT network is a challenging task due to unknown security vulnerabilities. Also, the unavailability of the...
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Research on Screw Detection Using Artificial Intelligence Technology
The purpose of this study is to develop a screw screening automation machine that can achieve a large number of rapid detection of screws. At...
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Machine vision-based cutting process for LCD glass defect detection system
In this research, the automatic optical detection system is developed for detecting the sectional profile and the surface of the thin-film transistor...
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Chatter detection and suppression in machining processes: a comprehensive analysis
Chatter is a phenomenon that occurs during machining operations, causing vibrations that can negatively impact the quality of the machined surface....
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Bridge Damage Detection with Support Vector Machine in Accelerometer-Based Wireless Sensor Network
PurposeThis paper proposes an in-network vibration data processing using Wireless Sensor Network (WSN) leveraging Machine Learning (ML) for damage...
