Search Results - (evolution OR solution) ((calibration techniques) OR (learning techniques))

Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System by Alhasa, Kemal, Mohd Nadzir, Mohd, Olalekan, Popoola, Latif, Mohd, Yusup, Yusri, Iqbal Faruque, Mohammad, Ahamad, Fatimah, Abd Hamid, Haris, Aiyub, Kadaruddin, Md Ali, Sawal, Khan, Md, Samah, Azizan Abu, Yusuff, Imran, Othman, Murnira, Tengku Hassim, Tengku, Ezani, Nor

“…One possible solution to complement these techniques is the application of low-cost air quality sensors (LAQSs), which have the potential to give higher spatial and temporal data of gas pollutants with high precision and accuracy. …”
Get full text
Get full text

Calibration model of a low-cost air quality sensor using an adaptive neuro-fuzzy inference system by Ezani, Nur Eliani, alhasa, kemal maulana, Mohd Nadzir, Mohd Shahrul, Latif, Mohd Talib, Olalekan, Popoola, Yusup, Yusri, Faruque, Mohammad Rashed Iqbal, Ahamad, Fatimah, Abd. Hamid, Haris Hafizal, Aiyub, Kadaruddin, Md Ali, Sawal Hamid, Khan, Md Firoz, Abu Samah, Azizan, Yusuff, Imran, Othman, Murnira, Tengku Hassim, Tengku Mohd Farid

“…One possible solution to complement these techniques is the application of low-cost air quality sensors (LAQSs), which have the potential to give higher spatial and temporal data of gas pollutants with high precision and accuracy. …”
Get full text
Get full text
Get full text

Driving fatigue detection system using haar cascade technique by Davanathan, Sasmita, Md Taujuddin, Nik Shahidah Afifi, Suhaila Sari, Suhaila Sari

Get full text
Get full text
Get full text

Remote sensing technologies for unlocking new groundwater insights: a comprehensive review by Ibrahim, Abba, Wayayok, Aimrun, Mohd Shafri, Helmi Zulhaidi, Toridi, Noorellimia Mat

“…The evolution of the techniques analyses spans from empirical reliance on sparse point data to the assimilation of multi-platform satellite measurements using sophisticated machine learning algorithms. …”
Get full text
Get full text
Get full text

Sedentary sitting posture recognition with YOLOv3 algorithm / Muhammad Amin Mohamad Razali by Mohamad Razali, Muhammad Amin

“…The objective of this paper is to design, develop, and test a sitting posture recognition system using deep learning technique. Therefore, this paper discusses on the usage of deep learning techniques sitting posture recognition and presents the usage of You Only Look Once (YOLO) deep learning model, specifically the YOLOv3 model for this task. …”
Get full text
Get full text

Calibrating hand gesture recognition for stroke Rehabilitation Internet-of-Things (RIOT) using MediaPipe in smart healthcare systems by Zainuddin, Ahmad Anwar, Mohd Dhuzuki, Nurul Hanis, Ahmad Puzi, Asmarani, Johar, Mohd Naqiuddin, Yazid, Maslina

“…To ensure precise rehabilitation assessments, this initiative seeks to enhance accessible home-based stroke rehabilitation by producing optimal and secure calibrated hand gesture recognition with practical recognition techniques. …”
Get full text
Get full text
Get full text
Get full text

EDITORIAL: INTEGRATION OF HYDROLOGICAL MODELS AND MACHINE LEARNING TECHNIQUES FOR WATER RESOURCES MANAGEMENT by Ren Jie, Chin, Sai Hin, Lai

Get full text
Get full text
Get full text
Get full text

Raman calibration models for chemical species determination in CO2-loaded aqueous MEA solutions using PLS and ANN techniques by Hanafiah, Ahmad Syukri, Maulud, Abdulhalim Shah, Shahid, Muhammad Zubair, Suleman, Humbul, Buang, Azizul

Get full text

PMT : opposition based learning technique for enhancing metaheuristic algorithms performance by Hammoudeh, S. Alamri

“…Unlike existing OBL-based techniques, the PMT generates more than one candidate in multiple solution-space directions. …”
Get full text
Get full text

Saturation and parabolic effects of Langley Calibration at different altitude levels by Chang H. W. J., Maizan N. H. N., Fuei, Pien Chee, J. Sentian, Kong, Steven, Soon-Kai, Jedol Dayou

“…The performance of the well-known Langley plot technique, used for the calibration of ground-based sunphotometers, has been investigated at three observatory sites of different altitudes. …”
Get full text
Get full text
Get full text

Broadening selection competitive constraint handling algorithm for faster convergence by Shaikh, T.A., Hussain, S.S., Tanweer, M.R., Hashmani, M.A.

“…The median convergence traces have been compared with two different algorithms based on differential evolution, i:e: Ensemble of Constraint Handling Techniques (ECHT) and Stochastic Ranking Differential Evolution (SRDE). …”
Get full text
Get full text

Experimental analysis of camera calibration techniques used for eye tracking by Al Kassim, Zeenat, Memon, Qurban

Get full text
Get full text
Get full text

Vision Based Calibration and Localization Technique for Video Sensor Networks by Mohamed Sharif, Sharif Amar Mohamed Sharif

“…The recent evolutions in embedded systems have now made the video sensor networks a reality. …”
Get full text
Get full text

A review on monocular tracking and mapping: from model-based to data-driven methods by Gadipudi, N., Elamvazuthi, I., Izhar, L.I., Tiwari, L., Hebbalaguppe, R., Lu, C.-K., Doss, A.S.A.

“…Astounding results from early methods based on filtering have intrigued the community to extend these algorithms using other forms of techniques like bundle adjustment and deep learning. …”
Get full text
Get full text

Software-defined instrumentation for microwave network analysis measurement system incorporating virtual calibration technique by Mohd Yassin, Mohd Nazrin

Get full text
Get full text

PMT: opposition-based learning technique for enhancing meta-heuristic performance by Alamri, Hammoudeh S., Kamal Z., Zamli

“…Unlike existing OBL-based techniques, the PMT generates more than one candidate in multiple solution-space directions. …”
Get full text
Get full text
Get full text

Metric-based code smell detection technique for python software by Leeman, Samaila Ja'afaru

“…There are few literatures that show metric-based approaches have been used to detect code smells in Python Software. However, the techniques require selection of metrics and a tedious calibration of threshold upon which detection is done. …”
Get full text
Get full text

Raman calibration models for chemical species determination in CO2-loaded aqueous MEA solutions using PLS and ANN techniques by Hanafiah, A.S., Maulud, A.S., Shahid, M.Z., Suleman, H., Buang, A.

“…The R2 values of above 0.90 are observed for both cases indicating that both regression techniques can satisfactorily predict species concentration. …”
Get full text
Get full text

A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution by Abdulrazak Yahya, Saleh, Haza Nuzly, Abdull Hamed, Siti Mariyam, Shamsuddin, Ashraf, Osman Ibrahim

“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
Get full text
Get full text
Get full text

Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review by Hashmani, M.A., Jameel, S.M., Rehman, M., Inoue, A.

“…Moreover, it is essential to understand the existing Concept Drift handling techniques to determine their associated pitfalls and propose robust solutions. …”
Get full text
Get full text