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BFAct: Out-of-Distribution Detection with Butterworth Filter Rectified Activations
Out-of-Distribution (OOD) Detection has drawn a lot of attention recently due to it being an essential building block for safely deploying neural...
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Harmonic reduction of second order sallen and key lowpass filter and second order MFB lowpass filter through closed loop PID controlled method
Filters play a crucial role in various sectors, and active filters, in particular, find widespread applications. This research paper focuses on...
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MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis
Cardiovascular disease management often involves adjusting medication dosage based on changes in electrocardiogram (ECG) signals' waveform and...
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SSVEP Data Augmentation Based on Filter Band Masking and Random Phase Erasing
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have shown promising results in various applications, such as...
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Heap-based optimizer embedded with search strategies applied to high-order analog filter designs: a comparative study with up-to-date metaheuristics
Heap-Based Optimizer (HBO) is one of the recently proposed metaheuristic algorithms inspired by the corporate rank hierarchy. In this study,...
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Infinite Impulse Response Filter
After reading this chapter, the reader is expected to:
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HPO Based Enhanced Elman Spike Neural Network for Detecting Speech of People with Dysarthria
AbstractMotor speech condition called dysarthria is caused by a lack of movement in the lips, tongue, vocal cords, and diaphragm are a few of the...
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An efficient hybrid-based charged system search algorithm for active filter design
Active filter design is one of the complex real-world optimization problems for signal processing applications. Active filters contain essential...
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Detection of multitask mental workload using gamma band power features
Cognitive fatigue occurs in various situations and is an essential condition to detect. In this study, how single and multi-tasking tests affect...
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Effective relax acquisition: a novel approach to classify relaxed state in alpha band EEG-based transformation
A relaxed state is essential for effective hypnotherapy, a crucial component of mental health treatments. During hypnotherapy sessions, neurologists...
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The design of multiple feedback topology Chebyshev low-pass active filter with average differential evolution algorithm
This study presents the design of a tenth-order multiple feedback Chebyshev low-pass filter (MF-C-LPF). Component selection and gain calculation of...
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MIDNN- a classification approach for the EEG based motor imagery tasks using deep neural network
In recent times, Motor Imagery (MI) tasks have gained great attraction among researchers in the field of Brain-Computer Interface (BCI). The MI tasks...
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Multimodal emotion recognition model via hybrid model with improved feature level fusion on facial and EEG feature set
In recent years, academics have placed a high value on multi-modal emotion identification, as well as extensive research has been conducted in the...
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Epileptic Seizure Prediction Using Bandpass Filtering and Convolutional Neural Network
The paper proposes a generalized approach for epileptic seizure prediction rather than a patient-specific approach. The early diagnosis of seizures...
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Adaptive neuro-fuzzy sliding mode control of the human upper limb during manual wheelchair propulsion: estimation of continuous joint movements using synergy-based extended Kalman filter
Wheelchair upper limb exoskeletons can present a revolutionary approach to aid individuals with neuromuscular disorders in their daily tasks, which...
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Effective removal of eye-blink artifacts in EEG signals with semantic segmentation
Artifacts in electroencephalography (EEG) signals have negative effects on the analysis of the EEG signals. Although a number of techniques were...
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V-DAFT: visual technique for texture image defect recognition with denoising autoencoder and fourier transform
Texture is the surface qualities and visual attributes of an object, determined by the arrangement, size, shape, density, and proportion of its...
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Using the HAAR Wavelet Transform and K-nearest Neighbour Algorithm to Improve ECG Detection and Classification of Arrhythmia
This study attempted to enhance ECG detection and classification of arrhythmias by using ECG arrhythmia classification algorithm implemented from the...
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WiBFall: A Device-Free Fall Detection Model for Bathroom
Falling detection, especially for elderly people in confined areas such as bathrooms is vital for timely rescue. The mainstream vision-based fall...
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Expert System for Real Time Arm Movement Recognition Based on Surface EMG Signal
This paper presents classification of Electromyography (EMG) signals to distinguish between upper-limb motions. The system can help in the movement...