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Article
Colonoscopy Polyp Detection Using Bi-Directional Conv-LSTM U-Net with Densely Connected Convolution
Several researchers have focused in recent years on improving the efficiency of abdominal diagnostics by segmenting colonoscopy images with machine learning techniques. Previously, colonoscopy images were manu...
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Article
Demystifying Cognitive Informatics and its Applications in Brain-Computer Interface
Cognitive informatics is a transdisciplinary inquiry of data sciences, intellectual science, and knowledge science that explores the inward data preparing systems. It also explores the procedures of the brain ...
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Article
Analysis of anomaly detection in surveillance video: recent trends and future vision
Video Surveillance (VS) systems are popular. For enhancing the safety of public lives as well as assets, it is utilized in public places like marketplaces, hospitals, streets, education institutions, banks, sh...
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Article
Analysis of brain signal processing and real-time EEG signal enhancement
Cerebrum signals can be acquired and broken down with various techniques, as represented in the paper. Electroencephalogram (EEG) signals are damaged by various conventional i.e. signals related to muscle acti...
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Article
Hilbert quantum image scrambling and graph signal processing-based image steganography
Steganography plays a big role in secret communication by concealing secret information in the carrier. This paper presents a graph signal processing-based robust image steganography technique for posting imag...
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Chapter and Conference Paper
Design and Performance Analysis of MIMO Patch Antenna Using CST Microwave Studio
Multiple-inputs and multiple-outputs (MIMO) referring to the fact that it is a wireless technology, which is used to transfer more data at the same time between transmitter and receiver to increase data rate a...
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Chapter and Conference Paper
Measurement of Signal-to-Noise Ratio and Signal-to-Noise and Distortion Ratio Using Histogram Test in Time Domain Analysis
Sine wave-based histogram techniques are based on histogram techniques which are important method of research for characterization of analog-to-digital converter. To find out signal-to-noise ratio (SNR) via AD...