Suchergebnisse - "Research Article - Computer Engineering and Computer Science"

Subject-Wise Cognitive Load Detection Using Time–Frequency EEG and Bi-LSTM von Yedukondalu, Jammisetty, Sharma, Diksha, Sharma, Lakhan Dev

“… Cognitive load detection using electroencephalogram (EEG) signals is a technique employed to understand and measure the mental workload or cognitive demands …”
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A Novel Vision-Based Fall Detection Scheme Using Keypoints of Human Skeleton with Long Short-Term Memory Network von Inturi, Anitha Rani, Manikandan, V. M., Garrapally, Vignesh

“… In this approach, we analyse the human joint points which are the prime motion indicators. A set of key points of the subject are acquired by applying the AlphaPose pre …”
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Stacked-Based Ensemble Machine Learning Model for Positioning Footballer von Buyrukoğlu, Selim, Savaş, Serkan

“… Researchers have used ML algorithms in football on various subjects such as match result prediction, estimation of factors affecting match results, prediction of league standings, and analysis …”
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Deep Learning-Based Modified Bidirectional LSTM Network for Classification of ADHD Disorder von Saurabh, Sudhanshu, Gupta, P. K.

“… This work considers the resting state functional magnetic imaging (rs-fMRI) data and analyzes the functional connectivity of 40 subjects …”
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Detection of Turkish Fake News in Twitter with Machine Learning Algorithms von Taskin, Suleyman Gokhan, Kucuksille, Ecir Ugur, Topal, Kamil

“… Furthermore, we examine the follow/follower relations of the users who shared fake-real news on the same subjects through social network analysis methods and visualization tools …”
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A Hybrid Deep Learning Framework to Predict Alzheimer’s Disease Progression Using Generative Adversarial Networks and Deep Convolutional Neural Networks von SinhaRoy, Rajarshi, Sen, Anupam

“… A major research subject in recent times is Alzheimer’s disease (AD) due to the growth and considerable societal impacts on health …”
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Spec17Tre: A New Dataset in Hardware Security and Using Deep Learning for Detecting Spectre Attacks von Aktas-Aydin, Hatice, Yalcin, Gulay

“… Computer performance has become a significant subject of study due to the processing of big data, the complexity of calculations and the importance of time efficiency …”
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Sensor Performance Evaluation for Long-Lasting EH-WSNs by GSPN Formulation, Considering Seasonal Sunshine Levels and Dual Standby Strategy von Oukas, Nourredine, Boulif, Menouar

“… Furthermore, it considers that the sensors’ deployment territory is subject to different sunshine levels …”
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Diagonal-Newton Fast Iterative Shrinkage-Thresholding Algorithm for Solving Linear Inverse Problems in Image Restoration von Sim, Hong Seng, Goh, Yong Kheng, Chua, Sing Yee, Leong, Wah June

“… The Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) is widely used to solve inverse problems arising from various image processing applications …”
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Regional Brain Analysis and Machine Learning Techniques for Classifying Familiar and Unfamiliar Faces Using EEG von Bardak, F. Kebire, Temurtaş, Feyzullah

“… brain perspective and simple neural networks. The EEG data used in this research were gathered from typically developed subjects, and the features were derived …”
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A Deep Learning Method for the Security Vulnerability Study of Feed-Forward Physical Unclonable Functions von Alkatheiri, Mohammed Saeed, Aseeri, Ahmad O., Zhuang, Yu

“… Authentication is critical for Internet-of-Things. The traditional approach of using cryptographic keys is subject to invasive attacks …”
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High-Definition Image Formation Using Multi-stage Cycle Generative Adversarial Network with Applications in Image Forensic von Arif, Danish, Mehmood, Zahid, Ullah, Amin, Winberg, Simon

“… In the modern world, human safety and crime control are daunting tasks. Each year the number of street crime cases has been increasing. In many cases, the …”
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An Optimal Faster Region-Based Convolutional Neural Network for Oil Adulteration Detection von Surya, V., Senthilselvi, A.

“… However, the AO, CMO, and RSO oils are rarely available in the market and the ones available are subject to adulteration risks which affect …”
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Human Action Recognition Research Based on Fusion TS-CNN and LSTM Networks von Zan, Hui, Zhao, Gang

“… Human action recognition (HAR) technology is currently of significant interest. The traditional HAR methods depend on the time and space of the video stream …”
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An Efficient MAC with Spectrum Handoff and Frame Fragmentation Strategies for Cognitive Radio Networks von AlQahtani, Salman A.

“… ) in an opportunistic way. In fact, there is a lack of in-depth topics in both centralized and distributed cognitive radio models, particularly on the subject of Media Access Control (MAC) protocol …”
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An Independent Constructive Multi-class Classification Algorithm for Predicting the Risk Level of Stress Using Multi-modal Data von Pankajavalli, P. B., Karthick, G. S.

“… The existing algorithms work better for binary classification problems like discriminating the healthy subjects from the stress subjects …”
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A Passive Approach for Detecting Image Splicing Based on Deep Learning and Wavelet Transform von Abd El-Latif, Eman I., Taha, Ahmed, Zayed, Hala H.

“… Splicing image forgery detection has become a significant research subject in multimedia forensics and security due to its widespread use and its hard detection …”
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A New Approach for Human Recognition Through Wearable Sensor Signals von Kılıç, Şafak, Kaya, Yılmaz, Askerbeyli, İman

“… Recently, subjects such as human recognition (HR), age estimation and gender recognition have been among the most investigated human …”
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Analysis of Stroop Color Word Test-Based Human Stress Detection using Electrocardiography and Heart Rate Variability Signals von Karthikeyan, P., Murugappan, M., Yaacob, S.

“… A total of 10 female subjects (aged 20–25 years) participated in this study. A time and frequency domain analysis of the HRV and ECG signals was done to extract the stress-related features …”
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Electromyographic Signal-Driven Continuous Locomotion Mode Identification Module Design for Lower Limb Prosthesis Control von Gupta, Rohit, Agarwal, Ravinder

“… For current study, 18 healthy subjects of 21–42-year age group were engaged and their sEMG signal form two lower limb muscles has been recorded for three daily life locomotion’s …”
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