Search Results - feature extraction ((((method algorithm) OR (sensor algorithm))) OR (mead algorithm))

Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

“…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
Get full text
Get full text

Feature extraction from oil palm in vitro shoot images by Ismail, Abdul Halim, Marhaban, Mohammad Hamiruce, Mohd Noor, Samsul Bahari, Hashim, Ahmad Tarmizi

“…The algorithms and methods developed are robust and advanced enough to be used in combination with a machine vision algorithm and automation system. …”
Get full text
Get full text

The noise reduction algorithm for star detection by Razaman, Anis Hannani, Ahmad, Yasser Asrul, Gunawan, Teddy Surya, Khalifa, Othman Omran, Saidin, Norazlina

“…The proposed method integrates feature extraction through differential smoothing with adaptive thresholding techniques to effectively separate true star signals from background noise. …”
Get full text
Get full text
Get full text

Internet of Things (IoT) based activity recognition strategies in smart homes: a review by Babangida, Lawal, Perumal, Thinagaran, Mustapha, Norwati, Yaakob, Razali

“…This technique is challenged by the nature of IoT technology and perceived data, as well as by human differences, which necessitated additional processing tasks to select significant features for the learning algorithms. In this work, we focus our review on activity recognition implementation strategies by examining various sensors and sensing technologies used to collect useful data from IoT devices, reviewing preprocessing and feature extraction techniques, as well as classification algorithms used to recognize human activities in smart homes. …”
Get full text
Get full text

Feature extraction and supervised learning for volatile organic compounds gas recognition by Mohd Tombel, Nor Syahira, Mohd Zaki, Hasan Firdaus, Mohd Fadglullah, Hanna Farihin

“…Ten feature extraction methods were proposed based on changes in sensor response as inputs to classify three types of gases in the dataset. …”
Get full text
Get full text
Get full text
Get full text

Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer by Tuerxun, Adilijiang

“…The result illustrated that just one sensor features (sensor 4) are significantly enough to build a good, accurate classifier model that can predict, and classify the oil palm FFB ripeness, rather than the proposed 4 bands sensors with 32 feature attributes. …”
Get full text
Get full text
Get full text

Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

“…Somehow, it might occur some of extracted features are insignificant to describe the activity. …”
Get full text
Get full text

Jogging activity recognition using k-NN algorithm by Afifah Ismail

“…The finding in this project is the k-NN algorithm is good feature extraction and classifier. …”
Get full text
Get full text
Get full text

An approach of filtering to select IMFs of EEMD in acoustic emission AE sensors for oxidized carbon steel by Jaafar, N.S.M., Aziz, I.A., Jaafar, J., Mahmood, A.K.

“…Number of existing signal processing methods can be used for extracting useful information. …”
Get full text
Get full text

An approach of filtering to select IMFs of EEMD in acoustic emission AE sensors for oxidized carbon steel by Jaafar, N.S.M., Aziz, I.A., Jaafar, J., Mahmood, A.K.

“…Number of existing signal processing methods can be used for extracting useful information. …”
Get full text
Get full text

Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke by Henry Friday , Nweke

“…First, to investigate existing multi-sensor and automatic feature extraction methods for human activity detection and health monitoring using motion sensor. …”
Get full text
Get full text
Get full text

An enhance approach of filtering to select adaptive IMFs of EEMD in fiber optic sensor for oxidized carbon steel by Mohd Jaafar, N.S., Aziz, I.A., Jaafar, J., Mahmood, A.K., Gilal, A.R.

“…Number of existing signal processing methods can be used for extracting useful information. …”
Get full text
Get full text

An enhance approach of filtering to select adaptive IMFs of EEMD in fiber optic sensor for oxidized carbon steel by Mohd Jaafar, N.S., Aziz, I.A., Jaafar, J., Mahmood, A.K., Gilal, A.R.

“…Number of existing signal processing methods can be used for extracting useful information. …”
Get full text
Get full text

Square groove detection based on Förstner with canny edge operator using laser vision sensor by Mohd Shah, Hairol Nizam, Nik Anwar, Nik Syahrim, Mohammed Naji, Osamah Abdullah Ahmed, Johan, Nurul Fatiha

“…Weld seam recognition is critical for providing information for automated welding control, promoting the advancement of welding sensing technology, and improving welding manufacturing automation. The extraction of the square groove’s feature points using a new method is presented in this paper. …”
Get full text
Get full text
Get full text

Comparison Of Ridge Filters Performance in Human Vein Extraction Using 850nm Near Infrared Led Illumination by Abu Bakar Abd Rahman, Abdullah Bade, Fuei, Pien Chee

“…This paper investigates the performance of the ridge filters algorithm for vein feature extraction by using the NIR imaging technique to visualise human vein vessels. …”
Get full text
Get full text
Get full text
Get full text

Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Al-Garadi, Mohammed Ali

“…These sensors are pre-processed and different feature sets such as time domain, frequency domain, wavelet transform are extracted and transform using machine learning algorithm for human activity classification and monitoring. …”
Get full text
Get full text

Design and development of prototype robot gripper for object weight measurement by Almassri, Ahmed M. M.

“…The proposed work also includes the development of new algorithm for data extraction and signal conditioning analysis that will be loaded into the microcontroller system. …”
Get full text
Get full text

Novel CE-CBCE feature extraction method for object classification using a low-density LiDAR point cloud by Mohd Romlay, Muhammad Rabani, Mohd Ibrahim, Azhar, Toha, Siti Fauziah, De Wilde, Philippe, Venkat, Ibrahim

“…To achieve reliable feature extraction from a sparse LiDAR point cloud, this paper proposes a novel Clustered Extraction and Centroid Based Clustered Extraction Method (CE-CBCE) method for feature extraction followed by a convolutional neural network (CNN) object classifier. …”
Get full text
Get full text
Get full text
Get full text

Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system by Nurnajmin Qasrina Ann, Ayop Azmi

“…Stereo vision sensor can provide color and texture information for easy data and feature extraction. …”
Get full text
Get full text

Designing an expressive virtual Kompang on mobile device with tri-axial accelerometer by Leng, Hoo Yong, Mohd Norowi, Noris, Jantan, Azrul Hazri

“…This paper is therefore implemented a simple extraction method by extracting percussive features from embedded sensors to map with the output sound with minimum delay. …”
Get full text
Get full text
Get full text