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

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

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

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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. …”
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Modeling 2D appearance evolution for 3D object categorization by Mohd Zaki, Hasan Firdaus, Shafait, Faisal, Mian, Ajmal

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Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: the case of Sana'a metropolitan city, Yemen. by Pradhan, Biswajeet, Mansor, Shattri, Al-shalabi, Mohamed, Billa, Lawal, A. A. Al-Sharif, Abubakr

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Pore pressure prediction using 2D Basin modeling technique by Jun, P.K., Abidin, N.S.Z., Mio, E.D.

“…Nevertheless, calibration still can be done as the temperature at present and during the basin evolution is one of the parameters to pressure calculation in the model. …”
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Optimization of computational intelligence approach for the prediction of glutinous rice dehydration by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…GPR has the highest performance with R2 of 100% and 99.71% during calibration and testing of the model, respectively. …”
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Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development by Salehmin M.N.I., Tiong S.K., Mohamed H., Umar D.A., Yu K.L., Ong H.C., Nomanbhay S., Lim S.S.

“…This review uniquely focuses on harnessing the synergy between ML and computational modeling (CM) or optimization tools, as well as integrating multiple ML techniques with CM, for the synthesis of diverse hydrogen evolution reaction (HER) catalysts and various hydrogen production processes (HPPs). …”

Methods of learning and writing jawi scripts within the Malay community: Past and present experiences by Fadzli, Adam, Daud, Ismail, Asyraf, Ab Rahman, Abdul Manan, Ali

“…This paper discusses some methods of learning and writing Jawi scripts within the Malay community and how the script writing system has gone through a systematic evolution through times due to requirements set by relevant authorities. …”
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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). …”
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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. …”
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Monitoring peroxide value in oxidized emulsions by Fourier transform infrared spectroscopy by Ibrahim, Nor Hayati, Che Man, Yaakob, Tan, Chin Ping, Idris, Nor Aini

“…In general, FTIR spectroscopy is a suitable technique to monitor PV in oxidized emulsions. © 2005 Wiley-VCH Verlag GmbH & Co. …”
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Feature selection optimization using hybrid relief-f with self-adaptive differential evolution by Zainudin, Muhammad Noorazlan Shah, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran, Ahmad Nazri, Azree Shahrel, Mohamed, Raihani, Abd Manaf, Syaifulnizam

“…The performance of proposed method is compared with several feature selection techniques in order to prove their superiority using ten datasets obtained from UCI machine learning repository.…”
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Assistive Technology For Disabilities: A Case Study Of Autism In Teaching And Learning Outcomes by Omar, Sarah, Bidin, Azman, Koo, Ah Choo

“…A number of studies have highlighted new teaching techniques. There has been a trend in moving towards e-learning technologies in (Agarwal, 2012) and (Kemp, 2015), where those strategies were part of pedagogy techniques in teaching children with special needs. …”
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Evolution, design, and future trajectories on bipedal wheel-legged robot: A comprehensive review by Zulkifli, Mansor, Irawan, Addie, Mohammad Fadhil, Abas

“…The analysis encompasses optimization techniques, sensor integration, machine learning, and adaptive control methods, evaluating their impact on robot capabilities. …”
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Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review by Hashmani, M.A., Jameel, S.M., Rehman, M., Inoue, A.

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